Simulation of Net Infiltration for Modern and Potential Future Climates Rev 00, ICN 02 Errata 02 ANL-NBS-HS-000032 June 2003 1.1.PURPOSE PURPOSE This Analysis/Model Report (AMR) describes enhancements made to the infiltration model documented in Flint et al. (1996) and documents an analysis using the enhanced model to generate spatial and temporal distributions over a model domain encompassing the Yucca Mountain site, Nevada. Net infiltration is the component of infiltrated precipitation, snowmelt, or surface water run-on that has percolated below the zone of evapotranspiration as defined by the depth of the effective root zone, the average depth below the ground surface (at a given location) from which water is removed by evapotranspiration. The estimates of net infiltration are used for defining the upper boundary condition for the site-scale 3-dimensional Unsaturated-Zone Ground Water Flow and Transport (UZ flow and transport) Model (CRWMS M&O 2000a). The UZ flow and transport model is one of several process models abstracted by the Total System Performance Assessment model to evaluate expected performance of the potential repository at Yucca Mountain, Nevada, in terms of radionuclide transport (CRWMS M&O 1998). The net- infiltration model is important for assessing potential repository-system performance because output from this model provides the upper boundary condition for the UZ flow and transport model that is used to generate flow fields for evaluating potential radionuclide transport through the unsaturated zone. Estimates of net infiltration are provided as raster-based, 2-dimensional grids of spatially distributed, time-averaged rates for three different climate stages estimated as likely conditions for the next 10,000 years beyond the present. Each climate stage is represented using a lower bound, a mean, and an upper bound climate and corresponding net-infiltration scenario for representing uncertainty in the characterization of daily climate conditions for each climate stage, as well as potential climate variability within each climate stage. The set of nine raster grid maps provide spatially detailed representations of the magnitude and distribution of net-infiltration rates that are used to define specified flux upper boundary conditions for the UZ flow and transport model. The initial model development, calibration, and application conducted in this analysis were performed pursuant to AMR Development Plan TDP-NBS-HS-000016 (USGS 2000a). The Interim Change Notice 1 (ICN 01) was performed pursuant to Technical Work Plan (TWP) TWP-NBS-HS-000001, Rev 00/ICN 01 (CRWMS M&O 2000e). The TWP was prepared in accordance with AP-2.21Q, Quality Determinations of Planning for Scientific Engineering, and Regulatory Compliance Activities. This analysis consists of (1) modifications to the 1996 model code INFIL V1.0 (Flint et al., 1996, Appendix V), (2) an updating of input parameters defining the new model INFIL V2.0 (STN 10307-2.0-00), (3) calibration of the new model using stream flow records, (4) the development of daily climate input representative of potential future climate stages, and (5) application of the model to provide net-infiltration estimates for a lower, mean, and upper bound climate scenario within each potential future climate stage. Estimation of the timing and duration of the potential future climate stages, which consist of a modern, a monsoon, and a glacial transition climate stage, is documented in “Future Climate Analysis” (USGS 2000b). The characterization of precipitation and air temperature for the upper and lower bound climate scenarios within the monsoon and glacial transition climate stages is also described in USGS (2000b). The Interim Change Notice (ICN) 02 was performed pursuant to Technical Work Plan (TWP), Technical Work Plan for Unsaturated Zone (UZ) Flow and Transport Process Model Report (BSC 2001a), and Technical Work Plan for: Integrated Management of Technical Product Input Department (BSC 2001b). The purpose of ICN 02 is to address ‘To Be Verified’ (TBV) data sets that appear on the DIRS form for REV 00 ICN 01. The impact of the change is to correct input status entries, replace unqualified data sets with equivalent qualified data sets. The result of these changes did not change or impact the output data sets from the AMR or the conclusions of the AMR. Therefore, disciplines or functional areas other than the originating organization are not affected by these changes and an AP-2.14Q is not required. This AMR documents the development, calibration, and application of the enhanced model, and also the historical development of the conceptual and numerical models used to provide spatially and temporally distributed estimates of net infiltration over the area of the UZ flow and transport model and the potential repository. The document describes all inputs, procedures, and assumptions used to obtain estimates of net infiltration and provides a descriptive summary of model results. This AMR provides complete documentation of the net-infiltration model and its application, and Scientific Notebooks were not used to document model development. 2.2.QUALITY ASSURANCEQUALITY ASSURANCE The activities documented in Rev. 00 of this Analysis/Model Report (AMR) were evaluated in accordance with QAP-2-0, Conduct of Activities, and were determined to be subject to the requirements of the U.S. DOE Office of Civilian Radioactive Waste Management (OCRWM) Quality Assurance Requirements and Description (QARD) (DOE 2000). This evaluation is documented in Wemheuer (1999; activity evaluation for work package WP 8191213UU1, UZ PMR Rev 0 for SRCR Analysis and Writing). The activities documenting the development of the model in AMR REV 00 were conducted in accordance with the Development Plan (USGS 2000a), which was prepared in accordance with AP-2.13Q, Technical Product Development Planning. The activities associated with the preparation of ICN 01 were determined to be subject to QARD requirements pursuant to the Activity Evaluation prepared to support Technical Work Plan TWP-NBS-HS-000001 (CRWMS M&O 2000e), and for ICN 02 per Technical Work Plan TWP-NBS-HS-000001 Rev. 01 (BSC 2001a). The TWP was prepared in accordance with AP-2.21Q, Quality Determinations and Planning for Scientific, Engineering, and Regulatory Compliance Activities. The methods used to control the electronic management of data are as specified in Section 3. 3.3.COMPUTER SOFTWARECOMPUTER SOFTWARE AND MODEL USAGEAND MODEL USAGE The software codes listed in Table 3-1 was appropriate for the intended application, and was used only within the range of validation in accordance with AP-SI.1Q, Software Management. Software, as appropriate, was obtained from Configuration Management and its status may be confirmed by review of the Document Input Reference System (DIRS) database. The main body of computer software used for this analysis consists of developed FORTRAN routines and programs (see Attachments V through XV). The primary model program for obtaining estimates of net infiltration is INFIL V2.0 (STN 10307-2.0-00), which is a modified version of INFIL V1.0 (Flint et al., 1996). ARCINFO V6.1.2 was used for visual and graphical representation of ground surface data and parameters. This commercially available software product is an exempt software application in accordance with Section 2.1 of AP-SI.1Q, Software Management. No previous models were used in this analysis. Table 3-1. Computer software used to develop estimates of net infiltration (Attachment I) All electronic files consisting of source data, developed model inputs, model outputs, and postprocessing results were maintained and processed according to the seven compliance criteria listed in AP-SV.1Q, Control of Electronic Management of Information, (Process Control Evaluation for Supplement V). The work activities documented in the AMR were dependent on electronic media to store, maintain, retrieve, modify, update, and transmit quality affecting information. As part of the work process, electronic databases, spreadsheets, and sets of files were required to hold information intended for use to support the licensing position. In addition, the work process required the transfer of data and files electronically from one location to another. To provide adequate controls for protecting data and electronic files from damage and destruction during their prescribed lifetime, back-up copies of all electronic files were created and are maintained on two different media types: removable magnetic disk drives and optical CD-ROMs. Two sets of back-up files are maintained on each media type, and the complete set of electronic files on the two media types are maintained at two separate locations (Room 5004, Placer Hall, 6000 J Street, Sacramento CA 95819-6129, and 8815 Crusheen Way, Sacramento CA 95828). The location and description of individual files are catalogued and documented at each location. The files on the magnetic media are readily retrieved using any AT-compatible PC equipped with IOMEGA1 2GB JAZ drives (files are maintained on both 1 and 2 GB IOMEGA JAZ disks). The files on CD-ROMs are readily retrieved using any AT-compatible PC equipped with a standard CD-ROM drive. Access to both media types at the two locations is controlled and secured. For archived and compressed files, standard “unzipping” utilities are required for accessing files and data. File integrity and accuracy is maintained using standard file checking utilities and also by checking calculated statistics for data files and model input and output files. For example, each simulation performed using the program INFIL V2.0 includes a set of simple output statistics calculated using the input data prior to the actual simulation, and this provides a check to ensure that the input files have not been corrupted. For all electronic file transfers and file archiving, adequate controls are provided using standard operating system utilities and file checking operations to ensure that data transfers and/or file compressions are error free. The use of the input computer files in developing and applying the net infiltration model is summarized in Section 6 and documented more fully in Attachment IV. The model output files (DTN: GS000308311221.005) are available from the Record Processing Center under Accession Number: MOL.20000317.0168. 4.4.INPUTSINPUTS 4.1 DATA AND PARAMETERS All data sets and parameters used in the development, calibration, and application of the net- infiltration model to estimate net infiltration for modern and potential future climates are listed in Table 4-1. These data and parameters consist of the set of digitized topographic, geologic, and soil maps; soil and bedrock hydrologic properties; and modern and projected future climatic data that are appropriate to and required for the development and application of the distributed- parameter, quasi-three-dimensional, water-balance approach to watershed modeling that is the 1 IOMEGA and JAZ are registered trademarks of the Iomega Corp., 1821 West Iomega Way, Roy, Utah 84067. basis for the net infiltration model. Data qualification efforts, as needed, will be documented in accordance with AP-SIII.2Q, Qualification of Unqualified Data and the Documentation of Rationale for Accepted Data, and documented separately from this AMR. Table 4-1. D ata sets used for model development, calibration, and application. (Attachment I) 4.2 CRITERIA This AMR complies with the DOE interim guidance (Dyer, 1999). Subparts of the interim guidance that apply to this analysis/modeling activity are those pertaining to the characterization of the Yucca Mountain site (Subpart B, Section 15), the compilation of information regarding hydrology of the site in support of the License Application (Subpart B, Section 21(c)(1)(ii)), and the definition of hydrologic parameters and conceptual models used in performance assessment (Subpart E, Section 114(a)). 4.3 CODES AND STANDARDS No specific formally established codes or standards have been identified as applying to this analysis. 5.5.ASSUMPTIONSASSUMPTIONS The assumptions pertaining to this analysis are grouped according to the following types of investigations conducted: (1) development of the conceptual model of net infiltration, (2) development of the numerical model of net infiltration, (3) model calibration and comparison to independent methods, (4) model application and the representation of three climate stages (modern, monsoon, and glacial transition), including the upper bound, mean, and lower bound climate scenarios within each climate stage, and (5) development of estimated input parameter distributions and climate inputs in support of the net infiltration uncertainty analysis documented in CRWMS M&O (2000b). Significant or general assumptions pertaining to this analysis/model are noted below. These assumptions are used throughout this AMR and do not require further confirmation. The numerical representation of the conceptual model depends on the assumption that simplification of physical processes characterized by the conceptual model can be achieved while maintaining a sufficient level of accuracy in the mathematical approximation of these physical processes. This assumption is supported, in part, by model calibration and model validation. It is assumed on the basis of numerous YMP peer reviews and several publications (e.g. Hatton, 1998, pp. 5-7, 16), that the use of INFIL V2.0, which uses a distributed parameter, quasi-three- dimensional water-balance approach, and associated assumptions, is appropriate for the complexity of this analysis/model and is relevant in this large-scale application of providing the upper boundary condition to the UZ flow and transport model. It is noted that this approach does not necessarily represent the physics of infiltration in soils, but uses a water volume calculation approach in the mathematical and numerical models. This model has been compared successfully to several independent approaches to estimating net infiltration and recharge, and more rigorous methods based, for example, on detailed numerical solution of the differential equations of ground-water and surface-water flow are not feasible for use in this large-scale application. The infiltration model and analysis documented in this AMR are based on the assumption that the 1996 infiltration model, which was based on the distributed-parameter, water-balance approach and was calibrated using a variety of field data collected from 1984 through 1995, adequately represents the major features and processes controlling present-day and future infiltration at Yucca Mountain. The principal basis for the assumptions, discussed below, is that the resulting net-infiltration model quantitatively accounts for all major water inflow and outflow processes on a cell-by-cell basis and strictly imposes the conservation of total water mass within each model cell. The calculation results do not account for error propagation from the various components of the mass balance, such as measurement error associated with the various model inputs. For the purpose of estimating potential surface net-infiltration rates and resulting percolation fluxes at the potential repository horizon, it is assumed that the climate scenarios developed in USGS (2000b) are representative of possible future climate conditions. Assumptions and uncertainties regarding the estimated monsoon and glacial transition potential future climate scenarios, including the timing and duration of each estimated future climate stage, are documented in USGS (2000b). Within each cell of the model domain, water is assumed to move vertically downward within soil and bedrock, and that on a 30m x 30m grid block basis, there is no lateral diversion within the root zone. This is a viable assumption based on several calculations of specific conditions at the site. Given a land surface slope of approximately 4 to 6 degrees, the sine of the gravity vector is 0.07 to 0.10. The saturated hydraulic conductivity of the alluvium is 5.6E-6 m/s to 6.7E-6 m/s and the porosity is 35 percent (Attachment IV, Table IV-4). Using Darcy’s equation and assuming fully saturated flow in a lateral downslope direction, with a perched system at the bedrock/alluvium contact that parallels the soil surface, the distance that lateral flow would travel in 30 days is approximately 3 to 6 m, thereby not moving beyond the 30m x 30m grid block area. If the slope were 45 degrees, the distance would be an order of magnitude greater. According to Hatton (1998), 1-dimensional, distributed-parameter, water-balance models are appropriate for use unless the excess rainfall generates overland flow (which is accommodated by flow routing in INFIL V2.0 ), or with the development of saturated conditions in soil profiles on slopes. The above calculation, and the fact that slopes have very thin soil cover and the underlying fractured bedrock has a high saturated hydraulic conductivity, negate this as a significant concern. On the other hand, if water were to move from one grid block downslope to the next grid block at the soil/bedrock contact, in a three-dimensional model configuration, this volume would be additive and would continue downslope until the slope was reduced, resulting in a shorter lateral travel distance. The total slope would only be affected in the uppermost and lowermost grid blocks. This component of error is considered to be insignificant relative to the spatial resolution required for the site-scale UZ ground water flow model. Net infiltration is assumed to occur as fracture flow through the Tiva Canyon welded hydrogeologic unit (TCw) that is considered within the root zone. This assumption is based on relative changes in measured water content profiles that indicates that the penetration rates of the wetting front exceeded that calculated from the saturated hydraulic conductivity of the matrix alone. An assumption is also made that saturated fracture flow is maintained only for the duration that saturated conditions are maintained along the soil-bedrock interface. This assumption is based on interpretations of relative changes in the time series of water content profiles measured in boreholes by neutron logging (Flint and Flint, 1995), and corresponding nearby measurements of water potential at the soil/bedrock contact indicating saturated or near saturated conditions (see Figure 6-6A). The net infiltration rate for the time periods when net infiltration is occurring is assumed to be numerically equivalent to the bulk saturated hydraulic conductivity of the bedrock. This model does not use pressure gradients to induce flow and does not consider positive pressure heads. The evapotranspiration coefficients given in DTN: GS000300001221.009 are assumed to be representative of conditions at Yucca Mountain. The values used for the a and b coefficients in Equation 12 in Section 6.4.6 are based on measurements at other locations and are commonly used and regarded as appropriate within the scientific community (Priestly and Taylor, 1972 and Flint and Childs, 1991). These assumed coefficients are used in Sections 6.3.4, 6.4.4 and 6.4.6. The stream-flow routing algorithm is not an approximate solution to the governing partial differential equations of surface water flow (various forms of the St. Venant equations). Kinematic and inertia effects, flood waves and backwater effects are not being modeled. Additional factors not being considered are density changes due to temperature changes throughout the water profile, gravitational acceleration, resistance terms, viscosity changes due to sediment load, phase changes, changes in fluid hydraulics due to shifts from turbulent to laminar flow, flow dispersion and dynamic shifts in channel geometry due to concurrent stream bed erosion and deposition. The only physical process being represented by this model is the lateral redistribution and subsequent infiltration of the runoff water volume and it is assumed that this can be adequately modeled based on elevation alone. In addition, the details of positive heads in active channels are insignificant relative to the uncertainty of available input parameters required to accurately define stream channel geometry for the entire stream channel network represented by this model. It is assumed that changes in liquid properties, such as viscosity and density, on the saturated field-scale hydraulic conductivity of soil and bedrock are insignificant. This assumption is justified because temperature variations in the near-surface environment that could affect the viscosity or density of water are expected to be small and because dissolved constituents that could affect the density of water are expected to be present in insignificant concentrations. While there is evidence that there is negligible downward flow occurring during long time- periods of no precipitation, it is included as an assumption. Very small changes in volumetric water content cannot be measured using neutron logging, which assumes that changes less than 0.006 m3/m3 are within the error of the measurement. Drainage under a unit gradient during time periods when soil water content is below field capacity can be calculated and an example is included in Section 6.1.5. Model uncertainty is being addressed through parameter input distributions that are being developed as a part of the net infiltration model uncertainty analysis (CRWMS M&O 2000b). Input distributions are developed for 12 selected parameters (estimated a-priori as being potentially significant, see Section 6.10.2) from those included in the model control file. The parameters included in the model control file are discussed in Section 6.3.3. The developed distributions are based on assumptions of upper and lower bounds for each of the selected parameters. Additionally, the distribution type for each selected parameter is assumed. CRWMS M&O (2000b) should be consulted for complete documentation of the assumptions and their bases. 6. 6.ANALYSIS/MODELANALYSIS/MODEL: CONCEPTUAL MODEL OF INFILTRATION AND MODEL: CONCEPTUAL MODEL OF INFILTRATION AND MODELDEVELOPMENT, CALIBRATION, AND APPLICATION The conceptual and numerical models of net infiltration for Yucca Mountain were developed by Flint et al. (1996) and described and simulated the natural hydrologic system. The models were based on thorough analysis of extensive field data collected during 1984 through 1995. The current (1999) model development does not completely replace the 1996 model, but supplements and enhances the 1996 model, particularly with respect to evapotranspiration from the root zone and the infiltration of surface run-on in the channels of washes. In addition, the current (1999) model uses updated model inputs for bedrock geology and soil depth. The net-infiltration modeling process requires a combination of applications using Geographic Information System (GIS) applications, field measurements (or acquisition of existing field data), parameter estimation, visualization and analysis, and the application of developed FORTRAN codes. The FORTRAN codes are used for pre-processing model input, the implementation of process modeling for simulating net infiltration, and for post-processing of model results, which includes the development of net-infiltration estimates for a given climate scenario by averaging separate model simulation results. The process modeling for net infiltration consists primarily of an hourly energy balance and a daily water balance simulation for a continuous multi-year period. The daily net-infiltration rates are averaged over the duration of the simulation for each model node2 to obtain spatially distributed, time-averaged net- infiltration rates. The net infiltration model and analysis documented in this AMR are concerned specifically with estimating the spatial distribution of net infiltration in the vicinity of the potential Yucca Mountain repository under present-day and projected future climatic conditions. In accordance with the screening criteria listed in Attachment 6 of AP-3.15Q, Managing Technical Product Inputs, the net infiltration model and analysis are of Level 2 importance in addressing the factors of the post-closure safety case for the potential repository in the unsaturated zone at Yucca Mountain. The net infiltration model is founded on the application of standard distributed- parameter water-balance methods to estimate net infiltration as discussed, for example, in Hatton (1998), and yields net infiltration estimates that, as discussed in this section, are within the range of and consistent with the results of other methods that have been used to estimate net infiltration and recharge in the Yucca Mountain region. On this basis, the net infiltration model and analysis documented in this AMR are deemed to be appropriate for providing estimates of net infiltration 2 In this report, model nodes are also referred to as model cells or model grid cells, and represent locations in space for which corresponding model calculations are made. The nodes are points at the centers of horizontally equidimensional, square grid cells that can be used to define representative areas for each node. that serve as input to and the upper boundary condition for the site-scale UZ flow and transport model. 6.1 CONCEPTUAL MODEL OF INFILTRATION The following sections provide a brief overview of the conceptual model of net infiltration for the purpose of describing the physical processes that are represented by the mostly deterministic, process-based, numerical model of net infiltration. A more thorough description of the conceptual model of net infiltration is provided in Flint et al. (1996, pp. 8-26). 6.1.1 Definition of Net Infiltration The conceptual model defines net infiltration as water that has percolated from the land surface to below the root zone. The root zone herein is defined as the zone from the ground surface to some variable depth in soil or bedrock from which infiltrated water is readily removed on an annual or seasonal basis by evapotranspiration. The depth of the root zone can be estimated from field studies but cannot be defined precisely. In addition, the depth of the root zone depends on variable climate and surface conditions controlling vegetation and other factors affecting evapotranspiration and is thus transient and spatially variable. Infiltration is the movement of water across the air/soil or air/bedrock interface, and percolation is defined as the downward movement of water within the unsaturated zone. 6.1.2 Overview of the Conceptual Model of Infiltration The current conceptual model of infiltration at Yucca Mountain identifies effective precipitation, which is the ratio of precipitation to potential evapotranspiration, as the most significant environmental factor controlling net infiltration at Yucca Mountain. Precipitation averages 170 mm/yr over the study area but is temporally and spatially variable (Hevesi et al., 1992). On an annual basis effective precipitation is low because potential evapotranspiration is much higher than precipitation. However, on a daily basis, effective precipitation can be high, particularly during periods with large and frequent winter storms. For example, the average penetration depth of infiltration3 into the soil/bedrock profile fluctuates on a seasonal basis for a given location, but tends to be greatest in the winter due to lower evapotranspiration demands, higher amounts of precipitation, and slow snow melt. The second most significant environmental factor controlling net infiltration is soil depth. When there is sufficient precipitation to produce net infiltration, the spatial distribution is generally defined by the spatial variability of soil depth. Field measurements indicate that when the soil/bedrock contact reaches near-saturated conditions (see Figure 6-6A), fracture flow is initiated in the bedrock (as evidenced by changes in water content profiles), increasing the hydraulic conductivity by several orders of magnitude. Soils exceeding 6 meters in thickness eliminate the infiltration of water to the soil/bedrock contact except in channels (Flint and Flint, 1995). Storage capacity in the soil profile is large enough that most water from precipitation is held in the root zone and removed by evapotranspiration processes. Soils that are less than 6 meters deep do not have enough storage capacity to store the volume of precipitation, and often 3 The penetration depth of infiltration is identified by the maximum depth at which a wetting front is observed based on geophysical logs. allow near-ponding conditions to occur at the soil/bedrock contact, particularly when the soil depth is less than 0.5 meters. The third factor controlling net infiltration is bedrock permeability. At Yucca Mountain welded tuffs of the Tiva Canyon welded (TCw) hydrogeologic unit, and nonfractured, nonwelded tuffs of the Paintbrush nonwelded (PTn) hydrogeologic unit are the principal rock types present in surface exposures or directly under soils. The saturated hydraulic conductivity of the nonwelded PTn matrix is higher than the TCw matrix (Flint, 1998, Table 7). The fractures in the welded tuff increase the saturated hydraulic conductivity of those rocks but due to channeling and the presence of inactive as well as active fractures (Liu et al., 1998), the unsaturated bulk conductivity is generally not more than that of the matrix of the nonwelded tuffs. The lower storage capacity of the fractured, welded tuffs allows moisture that has infiltrated to penetrate more deeply than in the nonwelded tuffs. Hydraulic properties of fractures calculated for this study depend on fracture aperture and whether or not the fractures are open or filled with calcium carbonate or siliceous materials. Based on numerical simulations of water flow through a block of variably saturated fractured tuff, Kwickis et al. (1998, p. 60) suggest that the infiltration of water into a fractured welded tuff, such as the TCw, will be controlled by the water potential at the soil-bedrock interface. Because the apertures and the air-entry water potentials of unfilled fractures (Kwicklis et al., 1998) are larger than the overlying soils (see Attachment IV, Table IV4), the initiation of fracture flow should occur only under saturated or near-saturated conditions. Fracture densities and matrix permeabilities are variable among the geologic units at Yucca Mountain. Shallow infiltration processes at Yucca Mountain can be described on the basis of four infiltration zones that can be identified based on the manner in which volumetric water content changes with depth and time (Flint and Flint, 1995). The zones, which correlate with topographic position, are described as follows: (1) Ridgetops are flat to gently sloping, of higher elevation than the other zones, and have thin soils composed of both eolian deposits and soils developed in place from the weathering process. These soils often have higher clay content and higher water-holding capacity compared to soils on sideslopes and alluvial terraces. The ridgetops generally are located where the bedrock is moderately to densely welded and fractured. The presence of thin soil and fractured bedrock results in the deeper penetration of moisture following precipitation compared to other topographic positions. In some locations where runoff is channeled, large volumes of water can infiltrate. For the present-day arid climate, runoff generally is restricted to the upper headwater portions of drainages and to locations downstream of areas that have very thin soils underlain by relatively impermeable bedrock. (2) Sideslopes are steep, commonly have thin to no soil cover, and are usually developed in welded, fractured tuff. The steepness of the slopes creates conditions conducive to rapid runoff. The low storage capacity of the thin soil cover and the exposure of fractures at the surface may enable small volumes of water to infiltrate to greater depths, especially on slopes with north-facing exposures and therefore lower evapotranspiration demands. Shallow alluvium at the bases of the slopes can easily become saturated and initiate flow into the underlying fractures. (3) Alluvial terraces are flat, broad deposits of layered rock fragments and fine soil with a large storage capacity. Little runoff is generated on the terraces and the precipitation that falls there does not move below a depth of one to two meters before it is removed evapotranspiration. Consequently, this zone contributes the least to net infiltration in the drainage basin. (4) Active channels are similar to the terraces but are located in a position to collect and concentrate runoff that, although occurring infrequently, can penetrate deeply. Although local net infiltration can be high for some channel locations, under the current arid climate this mechanism is not considered a major contributor to the total volume of net infiltration at Yucca Mountain, because runoff is infrequent and because the channels areas include only a very small percentage of the total drainage basin area. 6.1.3 The Hydrologic Cycle In the conceptual model, the hydrologic cycle is used to identify, define, and separate the various field-scale components and processes controlling net infiltration (Figure 6-1; all figures referenced in Section 6 are included in Attachment II, Figures). The hydrologic cycle is a basic conceptual tool used to visualize and define the various components of the field-scale water balance (Maidment, 1993, Figure 1.2.1, p. 1.4; Freeze and Cherry, 1979, Figure 1.1, p. 3). The hypothetical starting point of the hydrologic cycle is precipitation, which for current (modern) climate at Yucca Mountain occurs primarily as rain but can also occur as snow. Precipitation can accumulate on the ground surface,4 infiltrate the soil or exposed bedrock5 surfaces, contribute to runoff, or accumulate as snow. The contribution of precipitation to runoff generation depends on precipitation intensity relative to soil and exposed bedrock hydraulic conductivity, and also on the available storage capacity of soil and shallow bedrock with thin or no soil cover. Water accumulated in the snow pack can sublimate into the atmosphere or become snowmelt, which can then infiltrate, evaporate, or contribute to runoff. Rain or snowmelt that becomes runoff accumulates in surface depressions and basins or contributes to surface water flow, which is routed to downstream locations as run-on.6 Run-on contributes to either infiltration or accumulated surface-water run-on at downstream locations. Infiltrated water percolates through the root zone as either saturated or unsaturated ground water and is subject to evapotranspiration. Water percolating through the root zone is available as potential net infiltration, but the actual net-infiltration rate is limited by the bulk (or field-scale) saturated hydraulic conductivity of the bedrock or soil underlying the root zone. In the conceptual model, the bulk saturated hydraulic conductivity represents a weighted averaging of the field-scale matrix and fracture saturated hydraulic conductivity. Estimates of saturated hydraulic conductivity were calculated using these measured values of fracture conductivity for the percentage of area covered by the fracture per square meter of rock, given the fracture density and aperture size available for water to flow through. This was added to the saturated hydraulic conductivity of the rock matrix and weighted averages of bulk saturated hydraulic conductivity of bedrock, on the basis of percentages of matrix and fractures, were calculated by lithostratigraphic unit (see Attachment IV, Part 2). When infiltration from rain, snowmelt, or surface-water run-on occurs at a rate greater than the bulk saturated hydraulic conductivity of a subsurface layer, water will begin to fill the available storage capacity of the overlying soil. When the total storage capacity is exceeded, runoff is generated. While runoff can occur while the subsurface is still unsaturated due to precipitation exceeding the saturated hydraulic conductivity of the soil, this is on a small scale, and irrelevant to modeling of 30m x 30m grid blocks. 4Some precipitation can also be intercepted and temporarily stored by vegetation surfaces, but this component of the hydrologic cycle is negligible at the study site. 5In this report, bedrock is used as a general term referring to all consolidated rock material that is either exposed (outcropping) or overlain by unconsolidated soil material. 6In this report, runoff is specifically defined as the volume or depth of water accumulation on the ground surface prior to being routed as surface-water flow, whereas run-on is defined as the volume or depth of the routed surface- water flow. Figure 6-1. Field-scale water balance and processes controlling net infiltration. (Attachment II) In the Yucca Mountain area, the hydrologic cycle can be limited to atmospheric, surface, and shallow sub-surface processes because contributions from ground water discharge and the deep unsaturated zone are insignificant relative to the other components of the cycle7 (there is no perennial stream flow at the site). 6.1.4 Evapotranspiration Evapotranspiration is the combined process of bare-soil evaporation and transpiration (excluding evaporation from open water bodies) (Freeze and Cherry, 1979, p. 4). Transpiration is the uptake and transfer of water to the atmosphere by vegetation. Transpiration is much more efficient than bare-soil evaporation in removing water from sub-surface soils and fractured bedrock. Evapotranspiration is a function of the potential evapotranspiration rate, the availability of water at the ground surface and within the root zone, vegetation characteristics such as timing of plant growth and root density, and the chemical and hydrologic properties of the root zone. The processes are not independent, but in general the primary factors controlling evapotranspiration are potential evapotranspiration, water availability, vegetation density, and seasonal vegetation growth. The more saturated the soil (or fractured bedrock) and the denser the vegetation, the closer the transpiration rate is to the potential evapotranspiration rate. If the soil (or fractured bedrock) becomes drier than what is conceptually referred to as the wilting point, transpiration will not occur even though there may be some residual water in the root zone. The redistribution of water within the root zone affects the total evapotranspiration rate because bare-soil evaporation extends approximately depths of only 10 to 30 cm, and the density and growth of roots within the root zone in general is typically observed to decrease with depth. The estimate of the depth of bare-soil evaporation is based on field measurements of water potential with depth, and above about 20-30 cm the water potential values are too dry (see Figure 6-6A) for extraction by plant roots. The more quickly water redistributes to lower depths the greater the potential for net infiltration to occur because the overall susceptibility of water in the root zone to removal by evapotranspiration decreases with depth. At depths greater than the root zone vapor flow and matric suction potentials can result in upward unsaturated flow or exfiltration back into the root zone; but total water losses from these processes are considered negligible relative to evapotranspiration within the relatively thin root zone. The potential evapotranspiration rate is determined by the energy balance and depends primarily on net radiation, air temperature, ground heat flux, the slope of the saturation-vapor density curve, and advective energy from wind (McNaughton and Spriggs, 1989; Priestley and Taylor, 1972; Flint and Childs, 1991). Net radiation depends primarily on solar radiation and surface characteristics including topography and albedo. For the current climate at Yucca Mountain, the average annual potential evapotranspiration rate is approximately six times greater than the average annual precipitation rate (Hevesi et al., 1994b, p. 2326); thus, on an annual basis, most of the precipitation is removed from the site by evapotranspiration. However, on a daily basis, the precipitation, snowmelt, or surface-water run-on rate, can be much higher than the potential 7 Vapor flow enhanced by barometric pumping and temperature gradients also contributes to the water balance at the site but has been shown to be insignificant relative to precipitation, evapotranspiration, runoff, and net infiltration. evapotranspiration rate, especially during the winter when the potential evapotranspiration rate is at a minimum. 6.1.5 Net Infiltration Net infiltration at Yucca Mountain is dominantly an episodic process that tends to occur only under wetter than average conditions or in response to isolated but intense storms (Flint et al., 1996; Flint and Flint, 1995; Hevesi et al., 1994a). For upland areas having thin soils and rooting depths, the occurrence of net infiltration requires saturated or near-saturated conditions at the soil/bedrock interface and within shallow bedrock fractures to initiate flow through open or filled fractures (see Section 6.1.2). Assuming that active roots can extend into bedrock along open or partially filled fractures, a maximum effective rooting depth of approximately two meters is estimated for fractured bedrock, with a much lower root density and water storage capacity relative to soils. For locations with thick soils, the occurrence of net infiltration requires percolation through a deeper average rooting depth that is estimated to be approximately 6 meters (Flint et al., 1996; Flint and Flint, 1995). For larger storm or snowmelt events, water can accumulate in the root zone more rapidly than it can be removed by evapotranspiration. This is especially true during winter when potential evapotranspiration is at a minimum due to shorter days, lower sun angle, and lower air temperatures and root activity is either diminished or dormant. The downward percolation rate through the root zone under these conditions depends primarily on the storage capacity of the root zone and the field capacity and hydraulic conductivity of the soil and bedrock. The total storage capacity of the soil is defined as the porosity minus the residual water content multiplied by the soil depth. Field capacity is defined as the water content of the near surface soil profile (i.e., the root zone) at which drainage becomes negligible (several orders of magnitude less than the saturated flux rate) (Jury et al., 1991, p. 150). Field capacity is an old soil physics concept intended to provide a characteristic index of how much water may be retained from a rainfall event after redistribution has ceased. In actual field conditions, water drains continually under gravity. However, in coarse-textured soils such as those found at Yucca Mountain, the drainage rate falls to an insignificant level within a few days, after which the water content is changing at such a slow rate that a field capacity concept has practical value (Jury et al., 1991, p. 150). In skeletal soils found in southwestern Oregon, the water content at a measured mean value of -0.07 bars for field capacity was obtained (Flint and Childs, 1984). Flint and Childs (1984) argued that the water content at close to –0.1 bars was more appropriate for field capacity than the assumption of –0.33 bars that was commonly used, based on soil textures common to agricultural fields. This publication and other large scale studies conducted in major metropolitan water districts in southern California and regional watershed studies in Japan, provide support for the use of the field capacity concept in the gravelly sandy soils located at Yucca Mountain. For thick soils, reaching or exceeding field capacity at a depth of 6 meters tends to occur only for locations subject to concentrated surface-water flow, such as active stream channels and the base of steep sideslopes. For upland areas with thin soils, the percolation rate through the root zone depends on the field-scale storage capacity, and once exceeded, the hydraulic conductivity of bedrock. Thus, the effective field capacity of the root zone in upland areas is determined by bedrock lithology, fracture characteristics (density, aperture, filling), and the characteristics of the soil/bedrock interface, in addition to the characteristics of the overlying soil. The water potential that corresponds to the volumetric water content measured at field capacity is considered to be –0.1 bars and is shown for the soils used for modeling infiltration at Yucca Mountain in Attachment IV, Geospatial Input for INFIL V2.0 FY99. Two exercises are conducted to illustrate the negligible value of drainage at water contents below the field capacity value of –0.1 bars. Using values of soil properties listed in Attachment IV, Table IV-4, unsaturated hydraulic conductivity was calculated for soils with average water potentials at 0.025 bars, –0.1 bars (field capacity), and -0.5 bars. At 0.025 bars the unsaturated hydraulic conductivity is reduced about 2 orders of magnitude below that of the saturated hydraulic conductivity, with a value of 10.7 mm/day. At field capacity the rate drops to 4 orders of magnitude, with an unsaturated hydraulic conductivity of 0.25 mm/day. Once below field capacity, at 0.5 bars, the rate drops to 6 orders of magnitude, which is 0.003 mm/day. As the evapotranspiration rate at about –0.2 bars is approximately 2-3 mm/day, the soil dries quickly to very low drainage rates. A calculation of drainage for measured soil water contents was done for a borehole located in an active channel, illustrating relatively wet conditions. For borehole N1, located in Pagany Wash where the channel is about 3 m in cross-section, and the soil is 8.3 m deep, drainage from the soil was calculated as the unsaturated hydraulic conductivity at an average volumetric water content from below an estimated zone of evapotranspiration, 3 m, to the bottom of the alluvium. For monthly measurements made for the period of 1984 through 1995, the drainage was calculated to be 0.5 mm/yr in this active channel with periodic runoff. Flux was calculated as described in Section 6.3.4 for this borehole, using the average water content for 2 m of soil below 6 m in depth. Increases in average water content between monthly measurements were summed for values that were greater than the measurement error of 0.006 m3/m3. The total flux calculated for the 10 year period was 83.5 mm/yr (when distributed over a 30 m grid cell, this equates to about 10 mm/yr.). The drainage due to gravity from the soil for this borehole was 0.6% of the total flux calculated for the borehole. Boreholes located in topographic locations where runoff is unlikely, such as terraces, have soils that are generally much drier, potentially reducing the drainage by several orders of magnitude below that calculated for this borehole. As the net infiltration flux calculated in these locations are also much lower, the contribution of drainage to the total flux in the borehole would be higher, but the drainage, even at somewhat moist ranges of between –1 bar and –5 bars, the drainage ranges from 0.2 mm/yr to 0.001 mm/yr. In general, the volume of net infiltration occurring at Yucca Mountain under conditions of unsaturated ground-water flow when the root zone is drier than field capacity either in upland areas with thin soils or in locations with thick soils is considered negligible compared to the volume of net infiltration occurring as saturated flow through bedrock fractures or through thick soils that have reached or exceeded field capacity (see Figure 6-5) (Flint et al., 1996; Flint and Flint, 1995; Hevesi et al., 1994b; Nichols, 1987). 6.2 NUMERICAL REPRESENTATION OF THE CONCEPTUAL MODEL The numerical model is a digital representation of the mathematical concepts that describe the conceptual model of net infiltration described in Section 6.1. In most cases, an exact mathematical formulation of the physical processes being modeled is not required and in many cases is not possible. An application of approximate mathematical formulations is an essential requirement for computational efficiency and practical applicability of the numerical model. The level of accuracy needed for an approximate representation depends on the sensitivity of the UZ flow and transport models to net infiltration, in conjunction with the level of accuracy needed for results obtained with the models to evaluate potential repository performance (CRWMS M&O, 2000a). 6.2.1 Accuracy and Precision of Model Calculations The simulation of net infiltration primarily involves a water-balance calculation and the application of the conservation of mass principle. All water-balance calculations are performed as water-depth balances (which are easily converted to volume balances8), and thus an assumption is made that calculation errors due to temperature effects on water density are negligible relative to the level of precision needed for net-infiltration estimates. Model calculations are performed using double precision variables and standard FORTRAN77 programming language. The model code performs several internal mass balance checking calculations that are used to test the precision of the overall water-balance simulation (program testing and software validation are described thoroughly in the software qualification documentation). For estimated average annual net-infiltration rates, model results are provided for each model grid cell to the nearest 0.00001-millimeter (mm) water depth for all components of the water balance to allow for additional mass-balance checking using post-processing procedures. This level of precision does not indicate the level of accuracy in model results. Based on the average number of significant figures in model input, the number of significant figures that can be applied to model results should not exceed two. This level of output accuracy is subjectively based on the average level of precision in model inputs. 6.2.2 Accuracy of Input Parameters The accuracy of all model inputs could not be fully quantified at the time of this activity. Uncertainty in model inputs was not incorporated into the results developed in this analysis/model report. A preliminary uncertainty analysis is provided by CRWMS M&O (2000b), and will be used in the UZ Flow and Transport Process Model Report (CRWMS M&O 2000a) to provide a limited evaluation of model accuracy and uncertainty based on estimated bounds and distributions for a few selected input parameters. The development of input distributions for the selected parameters is discussed in Section 6.10.2. 6.3 GENERAL DESCRIPTION OF MODELING PROCEDURE 6.3.1 Overview of Distributed-Parameter Water-Balance Model The distributed-parameter, water-balance model developed as the FORTRAN program INFIL V2.0 follows the conceptual model of infiltration discussed in Section 6.1, and is represented using a storage volume approach for modeling the root-zone. The total root-zone water storage capacity is calculated using the 30m x 30m area of each grid cell multiplied by the depth of the root-zone (including soil and bedrock layers) . The root-zone water balance calculation used to model net infiltration is illustrated by Figure 6-2. Infiltration into the root8 Model calculations are performed as water-depth balances, and are converted to volume balances based on model grid cell area, which is 900 square meters for all model grid cells. zone and net infiltration through the root-zone is calculated independently for all grid cells and corresponding root-zone storage volumes. Because all grid cells have equal areas, the root-zone water storage terms are calculated as 1-dimensional vertical storage depths, which can easily be converted to volumes based on grid cell areas. The components of the root-zone water balance are determined for each layer using the water content of each layer. For water contents less than or equal to the water content at field capacity, infiltration is set to zero and water loss due to evapotranspiration from that layer is modeled as an empirical function of relative saturation (with relative saturation based on porosity and the residual water content) and potential evapotranspiration (Flint and Childs, 1991). For water contents greater than the water content at field capacity, water losses due to both infiltration and evapotranspiration from the layer are calculated. Infiltration into the underlying layer is set equal to the bulk saturated hydraulic conductivity of that layer (in millimeters per day). If the available water for net infiltration (calculated based on the amount of water remaining after evapotranspiration losses have been calculated) is less than the maximum infiltration amount determined using saturated hydraulic conductivity, water loss to infiltration is set equal to the amount of available water in the layer. For the lowermost root-zone layer in thick (6 meters or greater) soils, the daily water loss to infiltration is used to determine net infiltration. For upland areas with shallow soils where the root-zone is modeled as having a lowermost layer in bedrock, the amount of water available to evapotranspiration losses is calculated using the fracture porosity and the thickness of the bedrock layer. Once the water content of the bedrock layer has reached the limit defined by the fracture porosity, if water continues to infiltrate or percolate into the bedrock layer, net infiltration is calculated based on either the saturated hydraulic conductivity of the bedrock layer or the amount of available water (whichever determines the lower net infiltration amount). On a daily basis, precipitation, snowmelt, and surface water run-on are added (as water depth) to the top layer of the root-zone profile at each grid cell. The surface water run-on depth is calculated as runoff generated and routed from upstream grid cells. If the amount of precipitation, snowmelt, and run-on added to the top layer exceeds the maximum daily amount calculated using the saturated hydraulic conductivity of the soil, then runoff (set equal to the amount of excess water) occurs at that grid cell location and is routed to the downstream grid cell. Surface-water flow depths are routed as part of an instantaneous flow routing algorithm representing a daily water balance. All overland flow is routed as a time-independent flow depth for each grid cell within a 24-hour time step (the physics of overland flow are not considered in this type of model). Daily surface water flow volumes are calculated using grid cell areas and converted to standard stream discharge units (cubic-feet-per-second) for comparison with measured stream flow records. For locations where the lowermost root-zone layer is in bedrock, net infiltration is numerically equal to the bulk saturated hydraulic conductivity of the underlying bedrock (in millimeters/day) for the period of time where the water content of the lowermost root-zone layer exceeds the field capacity of that layer. Net infiltration is simulated as the bulk saturated hydraulic conductivity of the underlying bedrock when the water content of the bedrock root-zone layer equals the fracture porosity of that layer. This condition is maintained only as long as the field capacity of the bottom soil layer (the soil layer above the bedrock layer) is exceeded. Thus, for upland areas with shallow soils, net infiltration is simulated as an episodic process requiring saturated conditions at the soil/bedrock interface and throughout the effective flow path of the bedrock layer included in the root-zone. For locations with thick (greater than 6 meters) soil, net infiltration does not require saturated conditions at the bottom of the root zone, but does require that the water content of the bottom soil layer exceeds the field capacity of the layer. For upland areas, it is assumed that water ponded at the soil/bedrock interface and saturating the effective flow path through the bedrock root-zone layer percolates below the root-zone as net infiltration on a daily basis under a unit gradient. In all cases, water losses due to evapotranspiration are simulated for all root zone layers having a water content greater than residual prior to the calculation of net infiltration. During winter when potential evapotranspiration is at a minimum, ponded or saturated conditions at the soil/bedrock interface and throughout the effective flow path of the bedrock root-zone layer may exist for several days. Thus the total net infiltration is calculated as approximately the saturated hydraulic conductivity multiplied by the number of days net infiltration occurred. For days when the amount of water available for net infiltration is less than the limit set by the saturated hydraulic conductivity of the bedrock (this condition applies only to the last day of an extended net infiltration event), net infiltration equals the amount of water available to net infiltration in the lowermost root-zone layer. The daily water balance model is applied over a continuous multi-year period and is driven by the continuous daily climate input provided for the total simulation period. The daily net infiltration rates calculated for each grid cell location are used to calculate an average annual net infiltration rate for each grid cell based on the total simulation period. The average annual net infiltration rate is calculated in units of length per time (millimeters per year), and can be directly applied as a specified flux upper boundary condition for the UZ flow and transport model. Figure 6-2. The daily root-zone water-balance used to model net infiltration. (Attachment II) 6.3.2 Overview of Modeling Procedure The net infiltration modeling procedure begins with building a geospatial input parameter base grid using the selected digital elevation model (DEM) to define the base-grid geometry. The development of the geospatial input parameter base grid and the separate watershed modeling domains requires the application of Geographic Information Systems (GIS) to transfer available digitized map data, which is in a vector-based format, onto the grid-cell of the raster-based format of the DEM (a process referred to as rasterization). The vector-based map coverages used as input by the net infiltration model include bedrock geology and soil type maps. In addition to the rasterization procedure, GIS applications are also used for calculating slope and aspect as well as latitude and longitude coordinates for all grid cells. Geospatial parameters that are not available as either raster-based or vector-based map coverages are developed using a series of FORTRAN routines that are applied sequentially. The routines are used to overlay three separate bedrock geology maps (after rasterization), estimate soil thickness, calculate the blocking ridge parameters, calculate surface water flow routing parameters, and extract the watershed model domains. The DEM (DTN: GS000308311221.006) selected for defining the grid geometry is the composite DEM used for the original net infiltration model (Flint et al., 1996) that was developed from two standard USGS 7.5 minute 30-meter DEMs (Busted Butte and Topopah Spring NW). The two DEMs (DTN:GS000200001221.003) were combined into a composite DEM (DTN: GS000308311221.006) by using the ARCINFO, ARC-EDIT, ARC-PLOT, and ARC-GRID modules, utilizing a series of standard commands within the various modules. The grid geometry of the composite DEM (DTN: GS000308311221.006) is based on the Universal Transverse Mercator (UTM) projection (zone 11, NAD27) and consists of 691 rows in the north- south direction and 367 columns in the east-west direction covering a rectangular area centered over Yucca Mountain and the potential repository site, with the following corner coordinates: Northwest corner: 544,661 meters easting, 4,087,833 meters northing Northeast corner: 555,641 meters easting, 4,087,833 meters northing Southeast corner: 555,641 meters easting, 4,067,133 meters northing Southwest corner: 544,661 meters easting, 4,067,133 meters northing The elevation provided by the composite DEM (253,597 values) is the primary geospatial parameter used by the net infiltration model. Elevation is used to define the surface-water flow- routing network, which is in turn used to define watershed-modeling domains which are extracted from the base grid and modeled separately as closed hydrologic systems. Elevation is used to define slope, aspect, and blocking ridge parameters for modeling incoming solar radiation that is in turn used in an energy balance calculation for modeling potential evapotranspiration. The calculated slope is also used to model soil thickness. Additional uses of elevation values in the net infiltration model include estimation of spatially distributed daily climate input (precipitation and air temperature). In addition to the geospatial input parameters, the daily climate input and the model parameter inputs are defined prior to application of the net infiltration model. Daily climate input includes precipitation and air temperature. Model parameters include soil properties, bedrock properties, and root-zone parameters. An initial condition consisting of the root-zone water content is also defined prior to model application. Following the development of the base grid, the following 11 steps summarize the net-infiltration modeling procedure used for this analysis: 1. Acquisition and/or development of GIS map coverages and the application of ARCINFO V6.1.2. for the rasterization of geospatial parameters onto the base grid defined by the digital elevation model (DEM) for Yucca Mountain. Conversion of grid cell coordinates to both UTM zone 11 and geographic (latitude and longitude) using ARCINFO V6.1.2. 2. Calculation of topographic parameters, including grid cell slope and aspect using ARCINFO V6.1.2, and 36 blocking-ridge angles for each grid cell using the routine BLOCKR7 V1.0 (the blocking-ridge angles used in the geospatial-parameter input file for INFIL V2.0 are the same as those used in the input file for the 1996 INFIL V1.0 model). 3. Estimation of soil depth and refinement of bedrock geology (rock-type identification) using the programs GEOMAP7 V1.0, GEOMOD4 V1.0, and SOILMAP6 V1.0. 4. Calculation of surface-water flow routing parameters for each model grid cell using the DEM and the programs SORTGRD1 V1.0 and CHNNET16 V1.0. 5. Identification of watershed outflow locations using TRANSFORM9 V3.3 for raster data visualization and output from CHNNET16 V1.0. Extraction of watershed modeling domains, including calibration modeling domains, using the DEM, the identified outflow locations, the calculated surface-water flow-routing parameters, and the program WATSHD20 V1.0. 6. Development of a daily climate input file (mod3-ppt.dat) for model calibration and modern climate simulations using available precipitation records from monitoring sites within the study area and in the proximity of Yucca Mountain. Development of mod3-ppt.dat is performed within an EXCEL spreadsheet (mod3-ppt.xls) using a linear interpolation method. 7. Estimation of pre-calibration model coefficients and initial conditions for root-zone water contents. 8. Calibration of root-zone model coefficients included as input in model control file for modeling program INFIL V2.0 by comparing simulation results for calibration watersheds against streamflow records. 9. Development of 100-year daily climate input files for modern climate scenarios using available precipitation records from the Nevada Test Site stations 4JA and Area 12 Mesa and the programs MARKOV V1.0 (STN 10142-1.0-00) and PPTSIM V1.0. (STN 10143-1.0-00) Development of daily climate input for future climate scenarios using the routine DAILY09 V1.0 and seven selected analog records from the EARTHINFO10database. 10. Application of INFIL V2.0 (STN 10307-2.0-00) using developed daily climate input (mod3- ppt.dat, 4ja.s01, area12.s01, nogales.inp, hobbs.inp, rosalia.inp, spokane.inp, stjohn.inp, beowawe.inp, and delta.inp), calibrated or estimated root-zone model coefficients, and watershed modeling domains for net-infiltration simulations. 11. Development of net-infiltration estimates for nine separate climate scenarios by averaging or sampling from individual net-infiltration simulations using the routine MAPADD20 V1.0. Development of descriptive statistics for results over the areas of the potential repository boundary and the UZ flow and transport-modeling domain using SURFER11 V6.04 and the routine MAPSUM01 V1.0. Development of model results as GIS coverages using ARCVIEW12 V3.1, TRANSFORM V3.3, and SURFER V6.04 Figure 6-3 provides a generalized illustration of the various model components required for simulating spatially distributed net-infiltration rates. Figure 6-3. Major components of the net-infiltration modeling process. (Attachment II) 9 TRANSFORM is a registered trademark of Fortner Software LLC, 100 Carpenter Dr, Sterling, VA 20164. 10 EARTHINFO is a registered trademark of EarthInfo Inc., 5541 Central Avenue, Boulder, CO 80301. 11 SURFER is a registered trademark of Golden Software, Inc, 809 14th Street, Golden, CO 80401-1866 12 ARCVIEW is a registered trademark of ESRI, 210 Business Center Court, Redlands, CA 92373 6.3.3 Overview of Model Input User-defined model inputs for INFIL V2.0 consist of four general groups: (1) geospatial parameters, (2) hydrologic properties, (3) empirical model coefficients, and (4) daily climate input. Additional model coefficients are defined within the model source code. A detailed description of model inputs is provided in Sections 6.2 through 6.7. A detailed description of model input files, including descriptions of file formats, model options, and input and output options, is provided in the users manuals for INFIL V2.0, prepared under the software qualification procedure AP-SI.1Q, Software Management. The data acquired or developed and used as input for modeling net infiltration consist of either ASCII digital data or proprietary formats for acquired, exempt software applications (ARCINFO map coverages, EARTHINFO data formats). All model input required directly for simulating net infiltration using the developed model code INFIL V2.0 is provided by three separate ASCII files: 1. Model control file: specifies input and output options, input and output file names, modeling options, simulation period, model coefficients, and hydrologic properties. 2. Daily climate input file: defines the temporal domain for the model simulation and consists primarily of day number and daily precipitation amount in millimeters. The file can also include daily maximum, minimum, and mean air temperature in degrees Celsius, and snowfall accumulation in water equivalent millimeter data (measured snowfall data are not used by INFIL V2.0, see Section 6.4.3). 3. Geospatial parameter input file: consists of location coordinates and spatially variable grid cell parameters for all grid cells defining the model domain. Grid cell variables include elevation, slope, aspect, surface-water flow-routing parameters, soil type, soil depth, bedrock type, and 36 blocking ridge parameters. As will be documented subsequently in this AMR, the infiltration model will be applied over the domain of the site-scale UZ flow and transport model (CRWMS M&O, 2000a). 6.3.4 Assumptions Concerning Model Calibration Data used for model calibration are listed in Table 4-1 and in the attachments and are described in detail in Flint et al. (1996) as well as various sections throughout this report. They include soil hydrologic properties, bedrock hydrologic properties, vertical water-content profiles in soils and bedrock, and meteorological data. It is assumed that the 1996 infiltration model that was calibrated using these data is an adequate starting point for the enhancements included in the 1999 model and that the 1999 model calibration may build on the calibration performed in 1996. The calibration of the 1996 model is described in Section 6.8.3. The 1999 model calibration uses stream flow measurements from USGS gaging stations for 1994 and 1995 (DTN: GS941208312121.001, GS960908312121.001). The 1996 infiltration model was calibrated using water-content profiles at Yucca Mountain obtained by geophysical logging a network of up to 98 boreholes with neutron-moisture probes at monthly or weekly intervals during 1984 through 1995. Analysis of depth versus time water- content changes from this network provided critical information for the development of the conceptual model, particularly with respect to relative magnitudes of net infiltration for different topographic locations (Flint et al., 1996; Flint and Flint, 1995; Hevesi et al., 1994b). Depth versus time water-content profiles indicated the importance of thin soils, saturated fracture flow, periods of heavy precipitation (and/or snowmelt), and surface water run-on; in providing the conditions needed for the occurrence of episodic net-infiltration pulses. For example, the depth versus time water-content profile measured at borehole UZ-N15 (Flint et al., 1996, Figure 32; DTN: GS940708312212.011, GS941208312212.017, GS950808312212.001, GS960108312212.001) indicates the occurrence of three major episodes of net infiltration through bedrock in response to wetter than average conditions during the winters of 1992-93 and 1994-95 (Figure 6-4). The UZ-N15 site is at a ridgetop location in the headwater part of the upper Pagany Wash channel, has relatively thin soils, and based on field observations, received surface-water run-on during the winters of 1992-93 and 1994-95. The net-infiltration pulses indicated in Figure 6-4 cannot be supported by the measured bedrock matrix hydraulic conductivity alone. In order to measure the changes in water content noted in this figure using neutron moisture meters, it is necessary to have detectable changes in the volumetric water content. The rapid downward advance of the wetting front observed at this site suggests fracture flow is necessary as the matrix permeability is very low, therefore fracture flow through welded tuff is required, which was verified by independent measurements of water potential using heat dissipation probes at the soil-bedrock contact at a nearby site not affected by the existence of a borehole (Flint et al., 1996, Figure 35; DTN: GS960908312211.004). While the fractures may or may not be saturated in all locations during episodic high precipitation events accompanied by surface run-on, in this particular case, field observation at a nearby trench indicated that the fractures were fully saturated. The thin soils, fractured bedrock, and concentrated surface-water flow all contributed to rapid percolation of infiltrated water well below the depth of the effective root zone. In general, the collective time-averaged net-infiltration rates calculated at all borehole sites (DTN: GS960508312212.008) using the measured water-content changes indicate the occurrence of significant net infiltration at Yucca Mountain during 1989–95 (Figure 6-5) and a strong negative correlation between soil depth (DTN: GS960508312212.007) and net-infiltration rates (Flint and Flint, 1995). Figure 6-4. Measured water-content profiles at borehole UZN-15 for 1993-95. (Attachment II) Figure 6-5. Estimates of average net-infiltration rates at Y ucca Mountain calculated using changes in measured water-content profiles obtained for the period 1989–95 from a network of monitoring boreholes, compared to depth of alluvium at each borehole. (Attachment II) Drilling neutron-probe boreholes in the fractured tuffs at Yucca Mountain may introduce additional fractures or enhance the flow in the existing network, causing an overestimate of net infiltration. An independent estimate of net infiltration was developed using 1 year of water- potential measurements from heat-dissipation probes near borehole USW UZ-N15 (Figure 66A). The probes were installed laterally from a small trench that was backfilled. Measurements were made at four depths: 7.0, 15.0, 36.5, and 73.7 cm (the soil/bedrock interface). By early March, within 2 weeks of installation, winter precipitation saturated the soil from the soil- bedrock interface to within 36 cm of the soil surface, and heat-dissipation probes at both 36.5 cm and 73.7 cm were saturated. The probe at the soil/bedrock interface (73.7 cm) remained saturated until the end of March and then dried out to less than -10 bars by September. The probes closer to the surface dried out faster, and the near-surface probes became wetter periodically due to summer precipitation events. The moisture-retention curve for this location (Attachment IV, Geospatial Input Data for INFIL V2.0 FY99) was used to convert water potential to water content (Figure 6-6B). The rate of water loss was calculated between selected dates by using the change in water content. In early March the profile changed at a rate of more than 10 mm/day, but dropped to less than two mm/day within 30 days. The evaporation rate was estimated to be no more than two mm/day on the basis of potential evapotranspiration calculations using the Priestley-Taylor equation (Priestley and Taylor, 1972), yielding a maximum flux into the bedrock of eight mm/day. The flux for 30 days averaged five mm/day to yield a total flux into the bedrock of 150 mm. The estimate for the nearby borehole (USW UZ-N17; DTN: GS960508312212.008) was 110 mm for the same time period. Figure 6-6. Graphs of water-potential measurements near borehole USW UZ-N15 using heat dissipation probes (DTN: GS960908312211.004), (A) measured at four depths for 1995 and (B) used to calculate flux. (Attachment II) Changes in water-content profiles through time measured in boreholes located in active channels with thick soils were used to develop and calibrate a modified Priestley-Taylor evapotranspiration model (Hevesi et al., 1994b). Initial model calibrations conducted using INFIL V1.0 in 1996 consisted of a generalized (site-wide) calibration of the modified Priestley- Taylor model coefficients (DTN: GS000300001221.009) were based primarily on the calculated changes in the measured profiles (Flint et al., 1996, Figure 41; also discussed in Section 6.8.3). Model calibration using INFIL V2.0 was conducted using stream flow records from five gaging sites on Yucca Mountain that were operational from 1994 through 1995 and included two significant storm events measured during the winter of 1994-95 (DTN: GS941208312121.001, GS960908312121.001). A description of the model calibration procedure and the results of model calibration are provided in Section 6.8. Net infiltration is assumed to occur as saturated, or near-saturated, fracture flow through the TCw. An assumption is made that the fracture flow is maintained only through the thickness of the TCw within the root-zone, which is estimated to be less than 2 meters. Because of expected capillary barrier effects at the soil bedrock interface, it is assumed that fracture flow is maintained only for the duration that saturated conditions are maintained along the soil-bedrock interface. The spatial resolution of this fracture flow is much higher than that of the site-wide model, and therefore may not be well represented by the site- wide model. During infiltration events the contribution of the matrix of the bedrock to net infiltration is extremely small compared to the flow within the fractures. If the matrix is unsaturated it makes even less of a contribution. Therefore the saturation of the rock matrix is not taken into consideration. Rather, once the alluvium at the bedrock contact becomes saturated it is assumed that fracture flow is initiated, piston flow is assumed, and the fracture flow is accompanied by the small proportion of matrix saturated hydraulic conductivity. This also accounts for those few locations when sparsely fractured, nonwelded tuff is underlying alluvium. Assumptions regarding the appropriateness of various calibration procedures can be supported using comparisons of model results with independent methods to determine if model results vary considerably from other approaches of estimating net infiltration or recharge in the same environment. The spatially averaged net-infiltration rates for the nine climate scenarios were compared against estimates of recharge obtained using independent studies at various locations in the southern Basin and Range Province as a method of model comparison (Maxey and Eakin, 1950; Winograd, 1981; Lichty and McKinley, 1995; Harrill and Prudic, 1998; Dettinger, 1989). Although this method of model comparison is useful as a qualitative assessment of model results, it cannot be used to quantify levels of confidence or model uncertainty (due in part to the unknown accuracy of the independent results). A comparison with independent results does not necessarily validate (or invalidate) the accuracy of the model in representing the physical processes developed in the conceptual model. 6.4 MODEL COMPONENTS AND PROCESSES The INFIL V2.0 model algorithm consists of three main loops for performing a daily simulation of net infiltration over all model cells comprising a watershed model domain. Figure 6-7 provides a flow chart illustration of the general model algorithm and the primary loop (day-of- year loop), which is driven by the daily climate input file and carries the simulation through the time domain. Nested within the primary loop is a grid cell loop for performing a daily water balance calculation at each grid cell location and within each layer of the root zone. [The root zone was subdivided into layers based on the estimated maximum depth of bare-soil evaporation and an estimated variation in root density. In general, the layering represents a decrease in root density with increased depth in the root zone, particularly at locations with thick soils (greater than 6 meters).] The daily root-zone water balance consists of simulating precipitation, snowmelt, sublimation, evapotranspiration, changes in water content for each root-zone layer, net infiltration, and runoff generation. Nested within the water-balance loop is an hourly loop for modeling potential evapotranspiration based on the simulation of incoming solar radiation and effects on total solar radiation due to blocking ridges using the SOLRAD sub-model in INFIL V2.0 and the routine BLOCKR7 (Flint et al., 1996; Flint and Childs, 1987). After the completion of the water-balance loop, a surface-water flow-routing subroutine is called if runoff was generated at any grid cell. Surface-water flow is routed at the end of the day as a time-independent (instantaneous) total daily flow depth across each grid cell. The routing algorithm connects all grid cells horizontally using surface-water flow-routing parameters included in the geospatial parameter input file. Surface-water flow is coupled to the water- balance calculation by allowing surface water to infiltrate into downstream grid cells according to the available root-zone storage capacity, soil hydraulic conductivity, and estimates for effective surface-water flow area and stream flow duration. The infiltrated water is added to the grid cell’s antecedent root-zone water-content term used in the following day’s water-balance calculation. The surface-water flow depth routed across the grid cell defining the outflow location of the watershed is converted to a daily mean discharge flow rate, in cubic feet per second (cfs),13 which can be compared to measured stream flow for model calibration. Figure 6-7. Flow chart of the model algorithm used for simulating net infiltration. (Attachment II) 13 Cubic feet per second is a standard unit used for volume discharge rates in surface water hydrology Time-averaged net-infiltration rates are calculated by accumulating the simulated daily net- infiltration amounts obtained at the end of the daily water-balance loop. Time average rates also are calculated for the remaining components of the water balance (precipitation, snowmelt, sublimation, evapotranspiration, infiltrated run-on, root-zone water-content change, and runoff) for all model grid cells and are included in the main output file used for developing the net- infiltration results. The time-averaged rates for all components of the water balance simulated at each grid cell are averaged over the watershed model domain and compared against the time- averaged watershed outflow to check the consistency of the simulated water balance for the entire watershed. Output from INFIL V2.0 also includes spatially averaged daily water-balance terms for all components of the water balance. The daily output indicates the average inflow, outflow, and change in storage rates over the area of the watershed being simulated. The spatially averaged daily water balance is compared against the simulated daily outflow to provide a water-balance check for each day simulated. The simulated daily water balance rates are averaged over time and compared against the spatially averaged water-balance rates simulated at each grid cell as an additional method of checking the consistency of the simulated water balance for the entire watershed. 6.4.1 Daily Water and Energy Balance The estimation of spatially distributed net-infiltration rates consists of a daily simulation of net infiltration in response to a daily water- and energy-balance calculation performed separately for all model elements within a watershed bounded by surface-water flow divides. The daily water- balance calculation used in INFIL V2.0 is: Roff = P – SF + IRon + SM – SB –SW– ET – I (Eq. 1) where I = net infiltration, P = precipitation (rain and snow), SF = snowfall, SB = sublimation, SM = snowmelt, SW = change in water-content storage within the root zone, ET = evapotranspiration, IRon = infiltrated surface-water run-on, and Roff = surface-water runoff generated by excess precipitation, snowmelt, or run-on. It is important to note that runoff, not net infiltration, is calculated as the solution to the water-balance equation. A unit gradient is assumed and net infiltration is incorporated in the water-balance formulation as a temporary potential net- infiltration term and is limited by the field-scale-saturated hydraulic conductivity of the soil or bedrock underlying the root zone. A detailed description of the method used for calculating net infiltration is provided in Sections 6.4.5 and 6.4.6. The daily water-balance calculation performed for a root zone is illustrated in Figure 6-2, which was discussed in Section 6.3.1. In this figure water balance of the root zone is schematically represented for a single soil layer. In modeling the daily water-balance, parameters affecting the daily water balance, such as soil thickness, soil and bedrock properties, and various surface and vegetation characteristics, are uniquely defined for each grid cell. The difference between field capacity and residual water content is commonly referred to as available water capacity in soil science terms and that is the water available for plants. Therefore this is the zone in which the transpiration part of evapotranspiration processes take place. The infiltration rate of precipitation, snowmelt, or surface-water run-on into the root zone from the land surface is limited by the saturated hydraulic conductivity of the grid cell soil type (or the bulk saturated hydraulic conductivity of the grid cell bedrock type in cases of no soil cover). Precipitation and surface- water flow rates are defined using an estimated 2-hour storm duration for summer storm events and an estimated 12-hour storm duration for winter storm events. If the precipitation or snowmelt rate exceeds the saturated hydraulic conductivity of the top root-zone layer, the excess precipitation or snowmelt is added to the runoff term for that grid cell. During the simulation of surface-water flow, the infiltration of surface-water run-on is also limited by the saturated hydraulic conductivity of the top root-zone layer. Surface-water run-on exceeding the saturated hydraulic conductivity of the top root-zone layer is added to the runoff term routed to the downstream grid cell. As noted in Figure 6-2, infiltration is represented as equal to recharge. This is not entirely the case because in a deep unsaturated zone there are several mechanisms that may remove a small amount of water and the timing of recharge is not accounted for. At Yucca Mountain there are unsaturated zone groundwater ages of over 7,000 years. 6.4.2 Daily Climate Input Infiltration occurs in response to daily precipitation that occurs in particular temporal and spatial patterns. Stochastic representations of infiltration would be required to predict infiltration for long time periods without daily input; however, no infiltration data are available for the development of long-term patterns. Therefore, using stochastic representations of precipitation and daily input to simulate infiltration is appropriate. The daily climate input file is the primary control for the timing and duration of the simulation. The daily climate input file defines the time domain through which the simulation occurs by providing a real-time sequential input of daily climate parameters. The file is ASCII column formatted and at minimum consists of the year number, the day of year number, and the total daily precipitation amount but can also consist of maximum, minimum, and average daily air temperature, along with total daily snowfall accumulation. The primary input provided by the daily climate-input file is total daily precipitation, in millimeters, and this drives the daily water-balance calculation. Average daily air temperature, in degrees Celsius, is not required as input, but if not provided in the daily climate input file, this parameter is modeled internally by INFIL V2.0 using Equation 20 from Flint et al. (1996): T = T1-T2 {Sin[(D/366)*2*p + 1.3]} (Eq. 2) where T = modeled daily air temperature, D = day of year number, T1 = mean annual air temperature, and T2 = mean seasonal variation of average daily air temperatures above the mean during summer and below the mean during winter (the ½ amplitude of the sine wave). T1 and T2 were calculated as 17.3 and 11.74 degrees Celsius, respectively, using measured air temperature data from Yucca Mountain (DTN: GS000208312111.002). The daily climate input file provides point values of total daily precipitation and average daily air temperature for a given day of the simulation. These values are representative of the conditions at locations having elevations of approximately 1,400 meters, which represents the approximate average elevation of the land surface above the potential repository. Precipitation and air temperature are distributed spatially across all model grid cells using empirical elevation models. The precipitation/elevation correlation, caused by the adiabatic cooling of air masses interacting with mountainous terrain, has been studied in the southern Nevada region and correlation models between elevation and annual as well as seasonal precipitation amounts have been defined (French, 1983; Hevesi et al., 1992; Hevesi and Flint, 1998). The precipitation/elevation correlation model used in INFIL V2.0 for modern climate was from Hevesi and Flint (1998, Table 4, DTN: GS960108312111.001) for the sample of 114 precipitation stations with a minimum of 8 years of record, where the coefficients in the table are based on mean annual precipitation transformed as ln(MAP) x 1,000. The model estimated mean annual precipitation distributions using the relation: Pdk = Pd * exp(0.0006458*E + 4.317)/MAP (Eq. 3) where Pdk = the elevation-corrected daily precipitation estimate (in millimeters) for day d at model element k, Pd = the point precipitation estimated for day d provided by the daily climate input file, E = elevation (in meters), and MAP = mean annual precipitation (in millimeters). For the monsoon and glacial transition climate scenarios, the slope defined by Equation 3 was adjusted to account for assumed changes in the precipitation/elevation correlation based on estimates of precipitation-elevation correlations presented by Thompson et al. (1999), indicating a reduction in orographic effects on precipitation for wetter paleoclimates. Atmospheric pressure decreases with increasing altitude. Consequently, stirring of an atmospheric layer causes rising parcels of air to cool by adiabatic expansion, and sinking parcels to correspondingly warm by compression. The net effect of this is a vertical decrease in temperature with increase in elevation called the adiabatic lapse rate. The adiabatic lapse rate, or air temperature/elevation correlation is cited in numerous references as about 9.8 degrees C per kilometer and was cited for this work using Maidment (1993, p. 2.27): Tdk = 0.0098 * (1400.-Ek) + Td (Eq. 4) where Tdk is the elevation-adjusted air temperature for grid cell k based on elevation E and daily air temperature Td (either provided in the daily climate-input file or simulated using Equation 2). The elevation E is subtracted from the estimated mean elevation for the potential repository area that is indicated in the equation as 1,400 m. This is the approximate average ground surface elevation of the potential repository. Cloud cover is a variable affecting the energy-balance calculation and is indirectly accounted for in the model as an empirical function of daily precipitation magnitude. For days with precipitation, the modeled clear-sky potential evapotranspiration rate is reduced according to: APETd = PETd/[(4*Pd/25.4) + 1] (Eq. 5) where APET = adjusted potential evapotranspiration for day d (in millimeters), PETd = the Priestley-Taylor modeled clear-sky potential evapotranspiration for day d (PET is discussed further in Section 6.4.4), and Pd = modeled daily precipitation for day d. The coefficient 25.4 converts inches to millimeters, and the value 4 is an estimate that reduces the PET by approximately 25 percent due to cloud cover that exists whenever it rains. The assumption is that the energy for ET is reduced in the presence of clouds (associated with precipitation) and the more rain there is, the less ET there is. The model is fairly insensitive to this value. 6.4.3 Snow Pack Sub-Model Precipitation is simulated as snowfall for a grid cell location if the average air temperature is less than or equal to 0 degrees Celsius. When snowfall occurs, all precipitation for that day is assumed to occur as snow at that location. However, because air temperature is distributed spatially using the elevation correlation model, snowfall and snow pack accumulation may occur at higher elevation cells while rain occurs at lower elevations within the same watershed. Snowfall is accumulated into a snow pack storage term and is removed from the root-zone water balance. If snow pack exists and the air temperature is less than 0 degrees Celsius, water is removed from the snow pack by using an empirical sublimation-saltation-suspension model under the assumption that in upland areas advective wind-transport processes tend to cause snow removal rather than deposition over most areas. The three processes are grouped into a single empirical “sublimation” model that also includes evaporation of snowmelt and sublimation (but not saltation and suspension) when the air temperature exceeds 0 degrees Celsius: SBk = A1 * APETk, Tk <= 0 (sublimation/advective losses) (Eq. 6) SBk = A2 * APETk, Tk > 0 (evaporation of snowmelt and sublimation) where SBk = total snow pack losses to the atmosphere (in millimeters), APETk is the cloud cover adjusted Priestley-Taylor potential evapotranspiration rate14, (in millimeters/day), and Tk is the average air temperature simulated for grid cell k (in degrees Celsius). The model coefficients were estimated based on limited information indicating the average percentage of snow pack losses due to sublimation and advective energy processes (Maidment, 1993, pp. 7.4-7.10). For all simulations using the snow pack sub-model, A1 was set to 0.1 and A2 was set to 0.3 in the model control file. This is an assumed relation to account for an increase in snow pack losses to the atmosphere when the average daily air temperature is above freezing. If a snow pack exists and air temperature is greater than 0 degrees Celsius, a combined sublimation of snow and evaporation of snowmelt is simulated, and the APET term is reduced by the sublimation/evaporation rate SB to provide a potential transpiration rate for the root zone. Thus, the model allows reduced transpiration to occur when a snow pack exists but only if air temperature is higher than 0 degrees. For all days when air temperature is 0 degrees or less, transpiration is set to zero, and only sublimation can occur, provided a snow pack exists. If air temperature is greater than 0 degrees Celsius, snowmelt is simulated as an empirical linear function of average daily air temperature (Maidment, 1993, pp. 7.4-7.10) using a standard temperature index modeling approach: SMk = A * Tk (Eq. 7) 14 The potential evapotranspiration rate used in the sublimation model uses a Priestley-Taylor a coefficient value of 1.26 to account empirically for the advective component of the total energy balance and is not necessarily equivalentto the values of the coefficient used in the root-zone model. where SM is the modeled snowmelt (in millimeters) for grid cell k; T is the modeled average daily air temperature (degrees Celsius) for grid cell k; and A was set to 1.78, which is the coefficient used for modeling snowmelt in the Sierra Nevada during April (Maidment, 1993, Table 7.3.7, p. 7.24) The simulated snowmelt is carried back into the root-zone water-balance calculation as an influx term. 6.4.4 Potential Evapotranspiration and the Net Radiation Sub-Model Total daily potential evapotranspiration is modeled for each grid cell using the Priestley-Taylor equation (Priestley and Taylor, 1972): PETdk = a * [s/(s + g)dk * (RNdk – GHdk) / 2.45*106] (Eq. 8) where PETdk is potential evapotranspiration (in millimeters) on day d for grid cell k; s is the slope of the saturation vapor pressure-temperature curve; g is the psychometric constant; RN is modeled net radiation; and GH is estimated ground-heat flux, which is modeled using Equation 22 from Flint et al. (1996): GH = -20 + 0.386(RN) (Eq. 9) and 2.45*106 converts the energy units to millimeters of water. In Equation 8, a is used as an empirical scaling factor to account for the missing advective energy term in the Priestley-Taylor equation. For wet conditions having freely evaporating surfaces, a is often set to 1.26 (Priestley and Taylor, 1972; Flint and Childs, 1991; DTN: GS000300001221.009). For dry conditions, available moisture becomes the limiting factor controlling actual evapotranspiration, and a can be modeled as an empirical scaling function, a’, using a relative saturation term (Flint and Childs, 1991). In the root-zone water-balance sub-model, a’ is defined as an empirical function of relative saturation within the root zone by using a method described in Section 6.4.6. The s/(s+g) term is modeled as a function of average daily air temperature by using Equation 19 from Flint and et al. (1996): s/(s+g)dk = -13.281 + 0.083864 * TAdk - 0.00012375 * (TAdk) 2 (Eq. 10) where TAk is the average daily air temperature on day d for grid cell k, in Kelvins. Equation 10 was defined using parameter values obtained from performing a regression on data from Campbell (1977, Table A.3), and provides an indication of the relative effect of air temperature on potential evapotranspiration, which varies for different temperature ranges. In Figure 6-8, Equation 10 is compared with selected values taken from (Campbell, 1977, Table A.3) to illustrate the greater relative change in the s/(s+g) term for the lower air temperatures in the range –5 to 5 degrees Celsius as compared to temperatures in the range of 25 to 35 degrees Celsius. For example, a decrease in air temperature from 5 to 0 degrees Celsius results in a 17 percent reduction in s/(s+g) and thus potential evapotranspiration, while a decrease in air temperature from 35 to 30 degrees Celsius causes only a 5 percent reduction in the s/(s+g) term. Figure 6-8. Relative effect of air temperature change on the modeled s/(s+g) term of the Priestley-Taylor equation used for estimating potential evapotranspiration. (Attachment II) Total daily net radiation is the primary component of the energy balance determining potential evapotranspiration and is modeled using Equation 21 from Flint et al. (1996): RNdk = -71 + 0.72 * Kdkfl (Eq. 11) where RN is total net radiation, in w/m2, on day d for model element k, and Kfl is simulated incoming solar radiation which is modeled using a version of the SOLRAD, sub-model in INFIL V2.0, program developed by Flint and Childs (1987). To account for seasonal changes in the solar trajectory as well as terrain effects across model elements, SOLRAD, sub-model in INFIL V2.0, calculates solar position on an hourly15 basis from sunrise to sunset as a function of the day of year and geographic position of each grid cell (Flint and Childs, 1987). Terrain effects (blocking ridges) on incoming solar radiation are modeled using topographic parameters calculated from the DEM and included as input in the geospatial parameter file. Topographic parameters include grid cell slope, aspect, and 36 blocking ridge angles that define shading effects and reductions in skyview for every 10 degrees in the horizontal plane, starting with the UTM northing axis as the 0-degree azimuth. Shading causes a reduction in direct beam radiation, and diminished skyview decreases diffuse radiation. These effects can become important in rugged mountainous terrain. 6.4.5 Root-Zone Sub-Model: Infiltration, Percolation, and Redistribution Water infiltrating and percolating (see Section 6.1.1 for definitions) through the multi-layered root-zone system is modeled as a cascading piston-flow process. Downward percolation is modeled as a “forward” cascade initiated by adding the total volume of water infiltrating the top layer of the root zone to the antecedent water content of the layer. The new water content is calculated using the layer thickness and compared against the field capacity defined by the grid cell soil type. The volume of water exceeding the field capacity becomes downward percolation that is added to the antecedent water content of the underlying layer, and the new water content of the underlying layer is compared against the field capacity of that layer. If the potential percolation volume exceeds the saturated soil hydraulic conductivity or the saturated bulk bedrock hydraulic conductivity of the underlying layer, the downward percolation rate is set equal to the saturated hydraulic conductivity of the underlying layer, and the excess water volume is added to a temporary storage term for the overlying layer. The process is repeated for each soil and bedrock layer in the root zone (in the case of the model used in this analysis/modeling activity, a maximum of three soil layers and one bedrock layer were used) until the bottom layer is reached, which completes the forward cascade. The volume of water that has percolated into the bottom bedrock layer (which may be zero if the field capacity of an overlying layer was not exceeded) is compared against the effective root- zone storage capacity of the bedrock. If a bedrock layer exists in the root zone, the effective root- zone storage capacity of the bedrock layer is calculated based on the estimated root-zone depth, the estimated soil depth, and the estimated effective fracture porosity of the rock type (a more complete description of estimated root-zone depths in bedrock is provided in Section 6.5). The volume of water exceeding the bedrock storage capacity is the potential net-infiltration volume. 15 The time step is a user-specified option included in the model control file. Although a 1-hour time step is allowed, a 2-hour time step was used to reduce simulation run time. For thick soils, there is no bedrock layer in the root zone. The thickness of the bedrock root-zone layer is set to zero, the effective fracture porosity for the bottom bedrock layer becomes zero, and all water exceeding the field capacity of the bottom soil layer (the third soil layer) is potential net infiltration unless limited by the saturated bulk hydraulic conductivity of the underlying soil or bedrock. For locations where the soil depth is estimated to be 6 meters or greater, the underlying bedrock properties are defined using alluvium/colluvium properties. Based on analysis of neutron moisture meter data (Flint and Flint, 1995), the maximum depth of infiltration in non- channel alluvial locations is 6 meters, therefore there is no need to provide bedrock properties in these locations. The actual net-infiltration volume is calculated after evapotranspiration is simulated throughout the root zone and is limited by the bulk saturated hydraulic conductivity of the underlying rock type. The potential net-infiltration volume exceeding the bulk saturated hydraulic conductivity is added to the temporary storage term of the bottom root-zone layer. Starting with the bottom root-zone layer, a reverse cascade is performed to determine if runoff is generated. The volume of water in the temporary storage term is compared against the total storage capacity of each layer defined by the porosity (or effective fracture porosity in the case of bedrock) and layer thickness. If the volume of water in the temporary storage term exceeds the storage capacity, the excess water is added to the temporary storage term of the overlying layer. The process is repeated until the top layer is reached, completing the reverse cascade. The volume of water in the temporary storage term exceeding the storage capacity of the top layer is added to the potential runoff volume calculated for that grid cell. The final runoff volume is calculated following the simulation of evapotranspiration from the root zone. 6.4.6 Root-Zone Sub-Model: Evapotranspiration, Runoff, and Net Infiltration After the completion of the reverse cascade and the placement of excess water into temporary storage terms, evapotranspiration is simulated for each root-zone layer using a dynamic root- zone weighting function and the modified Priestley-Taylor equation (discussed in Section 6.4.4). Evapotranspiration is simulated only for days with air temperature greater than 0 degrees Celsius. The dynamic weighting is based on calculated relative saturations for each root-zone layer and the relative distribution of water (based on saturation) throughout all layers. The purpose of the dynamic weighting (wgti) is to increase root activity for the wettest layer. Static root density weights are also incorporated into the dynamic weighting function, setting an upper limit on root activity within each layer. For the top soil layer, the bare-soil evaporation term is added to the transpiration term. Using the calculated weighting terms, evapotranspiration is simulated by applying a form of the modified Priestley-Taylor equation developed by Flint and Childs (1991, coefficients in DTN: GS000300001221.009) to each layer of the root zone: ETk = a’ * PETk (Eq. 12) a’ = .i{wgti * [ak (1-exp(bk*relsatik))]} where ETk is total root-zone evapotranspiration for grid cell k; PETk is the adjusted clear-sky k simulated equilibrium16 potential evapotranspiration rate for grid cell k; relsati is the relative saturation calculated for layer i within grid cell k; ak and bk are the Priestley-Taylor model 16 The equilibrium potential evapotranspiration rate is calculated using a = 1.0, and is used to represent the non- advective component of the energy balance. coefficients for grid cell k supplied as soil- and rock-type input parameters in the model control file (in this analysis, the coefficients were identical for all soil and rock types but were varied between different climate scenarios and between soils and rocks). After water contents for each layer are reduced according to the calculated evapotranspiration rates, the final runoff and net- infiltration terms are calculated, and the new water-content terms for each root-zone layer are updated for the following day’s water-balance calculation. 6.4.7 Surface-Water Flow-Routing Sub-Model At the completion of the root-zone water balance loop, the surface-water flow sub-model is called if the runoff accumulation term is greater than zero (at least one grid cell has generated runoff). The sub-model uses an instantaneous flow routing (IFR) method to perform an efficient time-independent simulation of surface-water flow. The purpose of the routing algorithm is to calculate the lateral redistribution of water throughout the watershed domain and to allow for the infiltration of surface water as it is routed. The surface water flow routing algorithm is fully coupled with the algorithm used to calculate infiltration into the root zone. There is no need to predict a flood wave, peak flows, or backwater effects, and thus a finite difference approximation of the St. Venant equations is not required. The IFR method assumes that the duration of surface- water flow at Yucca Mountain is less than 24 hours, which is generally supported by the available stream flow records and field observations (Savard, 1995; Flint et al., 1996, Figure 23; DTN: GS960908312121.001). For the purpose of calculating daily net infiltration, it is not necessary to perform surface water flow routing at time steps less then the daily water balance, especially when stream flow events are known to be episodic and have duration less then 24 hours (at least for current climate conditions). The routing is performed using parameters calculated by the routine CHNNET16 V1.0 and included in the geospatial parameter input file. The routing parameters identify downstream cell connections for all cells in the model domain. The flow routing routine determines which of eight surrounding grid cells is the lowest in elevation and calculates the flow directions for each grid cell by first sorting the entire base-grid based on elevation, then using a standard D8 convergent flow routing algorithm in the routine. Multiple cells are allowed to route to a single cell, but any given cell can route to only one downstream grid cell (as opposed to two in cases of flow dispersion). In this way, channels are defined for every watershed. In general it is adequate to drive all flow along one connected node pair. The flow routing algorithm models convergent flow only. Inaccuracies resulting from a lack of flow dispersion are not significant within the area of the potential repository, and are not significant within most areas of the UZ flow and transport model. Inaccuracies resulting from a lack of flow dispersion tend to increase as flow is routed across more gently sloping alluvial fans, particularly in cases where the stream channel becomes braided or is not well defined. The IFR sub-model repeats the infiltration and percolation simulation performed in the water- balance loop, providing a 2-dimensional coupling of surface-water flow and infiltration. As with precipitation and snowmelt, infiltration of run-on is a function of the storage capacity and hydraulic conductivity of the underlying soils and bedrock. The fraction of the total grid cell area affected by surface-water flow is defined in the model control file and is used to scale the bulk hydraulic conductivity of the grid cell as a means of limiting total infiltration volumes along the width of the active channel. The scaling is performed by using an estimate of the average fraction of the total grid cell area wetting by surface water flow. For example, if the scaling factor is 0.1, only 10 percent of the 30m x 30m area of the grid cell is wetted, on average, by surface water. Thus the effective saturated hydraulic conductivity used to limit the volume of water infiltrating into the grid cell is multiplied by 0.1 to account for the reduction in area. Saturated conditions along the active channel are assumed for estimated storm duration of 2 hours for summer storms and 12 hours for winter storms. Positive pressure heads are assumed to be negligible and are not included in the calculation of infiltration volumes. The increase in water content for each layer in the root zone is stored and included in the following day’s root- zone water-balance calculation. Surface water that is routed off the model grid is stored as an outflow term. For watershed model domains, there is only one outflow point and the outflow term represents stream discharge from the watershed. The outflow term is incorporated into a global mass-balance calculation using: k D = .Roff k – .IRon = .Pk + .SMk – .SBk – .SWk – .ETk – .Ik (Eq. 13) where D is the watershed outflow, P is defined for this equation as rainfall, and the water balance terms defined in Equation 1 are summed for all grid cells k in the watershed. Equation 13 is calculated for each day of the simulation as means of verifying the mass balance over the modeling domain. 6.5 MODEL GRID GEOMETRY AND WATERSHED MODELING DOMAINS FOR THE YUCCA MOUNTAIN SITE All acquired and estimated geospatial parameters required as input for INFIL V2.0 are combined into a single ASCII file defining the base-grid for all extracted watershed model grids (DTN: GS000308311221.004). The geospatial parameter input files defining watershed model domains are extracted as separate files from the developed base-grid using the routine WATSHD20 V1.0 (discussed in Section 6.5.3). All FORTRAN routines (GEOMAP7 V1.0, GEOMOD4 V1.0, SOILMAP6 V1.0, and BLOCKR7 V1.0) used in the development of the base-grid geospatial parameter input file are listed in Table 3-1. The acquired, exempt software ARCINFO V6.1.2 also was used in the development of the base grid geospatial parameter input file. 6.5.1 Spatial Discretization and the Base-Grid The net infiltration modeling procedure begins with building a geospatial input parameter base grid using the selected digital elevation model (DEM) to define the base-grid geometry. The DEM (DTN: GS000308311221.006), selected for defining the grid geometry is the composite DEM used for the original net infiltration model (Flint et al., 1996) that was developed from two standard USGS 7.5 minute 30-meter DEMs (Busted Butte and Topopah Spring NW). The two DEM’s (DTN: GS000200001221.003) were combined into a composite DEM (DTN: GS000308311221.006) by using the ARCINFO GRID module. Within this module a command MERGE is used to perform the combining process. Once the two DEM’s are combined, it was necessary to convert the projection coordinates from decimal-degrees into UTM coordinates. This was done using the standard ARCINFO PROJECT command. The grid geometry of the composite DEM (DTN: GS000308311221.006) is based on the Universal Transverse Mercator projection (zone 11, NAD27, DTN: GS000200001221.003) and consists of 691 rows in the north-south direction and 367 columns in the east-west direction covering a rectangular area centered over Yucca Mountain and the potential repository site, with the following corner The 253,597 elevation values provided by the composite DEM is the primary geospatial parameter used by the net infiltration model. The development of the geospatial parameter input grid and the separate watershed modeling domains requires the application of Geographic Information Systems (GIS) to transfer available digitized map data, which is in a vector-based format, onto the grid-cell or raster-based format of the DEM (a process referred to as rasterization). Figure 6-9 is a shaded relief representation of the Yucca Mountain DEM and includes the location of the 1999 UZ flow model boundary, the 1999 design potential repository boundary, and the trace of the main Exploratory Studies Facility drift. Also shown are the locations of the neutron borehole sites used to calibrate the 1996 model as well as provide core samples for measuring bedrock hydraulic conductivity (see Attachment IV). Figure 6-9 illustrates the level of detail provided by the DEM in terms of representing discrete topographic features by using elevation, which is the primary geospatial-input parameter for the net-infiltration model. The DEM has an average elevation of 1,237 meters, a minimum elevation of 918 meters along the southern perimeter, and a maximum elevation of 1,969 meters along the northern perimeter. Figure 6-9. Yucca Mountain DEM used to define geospatial-input parameters and watershed modeling domains. (Attachment II) DEM elevations in the base grid are used for calculating and estimating geospatial-input parameters and are also used directly as an input in the developed geospatial-parameter input file. Section 6.3.2 discusses the application of elevation directly as an input parameter for INFIL V2.0 calculations, which includes estimating the spatial distribution of precipitation and air temperature. Sections 6.5.2 and 6.5.3 discuss the application of DEM elevations for calculating flow-routing parameters and developing watershed model domains using the routines SORTGRD1 V1.0, and CHNNET16 V1.0. Section 6.4.4 describes the application of DEM elevations for calculating topographic parameters, which include slope, aspect, and blocking ridge angles, using ARCINFO V6.1.2 and the routine BLOCKR7 V1.0. 6.5.2 Development of the Surface Drainage Network To generate watershed-modeling domains, the surface-water drainage network was defined using the base grid supplied as output from SOILMAP6 V1.0 and GEOMOD4 V1.0. Flow directions were calculated for each grid cell using a 2-step process. For the first step, the entire base grid is sorted by elevation using the routine SORTGRD1 V1.0. In the second step, flow-routing coordinates: Northwest corner: 544,661 meters easting, 4,087,833 meters northing Northeast corner: 555,641 meters easting, 4,087,833 meters northing Southeast corner: 555,641 meters easting, 4,067,133 meters northing Southwest corner: 544,661 meters easting, 4,067,133 meters northing directions are calculated based on a standard D8 routing algorithm (flow is routed to one of eight adjacent grid cells having the lowest elevation) using the routine CHNNET16 V1.0. CHNNET16 V1.0 is a convergent flow routing algorithm; multiple cells are allowed to route to a single cell, but any given cell can route to only one downstream grid cell (as opposed to two in cases of flow dispersion). The CHNNET16 V1.0 algorithm provides a method for routing through surface depressions in the DEM, which were found to be numerous. The surface depressions are in part a characteristic of poorly established drainage networks across alluvial fans and basins in arid and semiarid environments. Surface depressions are also caused by inaccuracy in the DEM in terms of both elevation values and grid resolution. If the DEM grid is too coarse relative to channel dimensions it cannot accurately capture the natural channel, and this problem tends to be most severe on broad alluvial fans and basins as opposed to upland areas where the drainage network is more accurately defined by the rugged terrain. The CHNNET16 V1.0 routing algorithm allows DEM surface depressions of up to 20 layers deep (20 grid cells need to be crossed before surface flow escapes the depression), and this was found to be greater than the largest depression encountered in the Yucca Mountain DEM. In addition to the flow routing parameters, output from CHNNET16 V1.0 includes a flow accumulation term, which indicates the number of upstream cells for each grid cell in the initial model grid (Figure 6-10). Figure 6-10. Number of upstream cells indicating the numerical channel network. (Attachment II) 6.5.3 Development of Watershed Model Domains Division of the net-infiltration model domain into a set of smaller, isolated watershed model domains was needed to decrease simulation run-times for INFIL V2.0 by allowing the simulation to be distributed over multiple computer processors. The isolated watershed domains allow for a more efficient analysis of the impact of watershed characteristics on simulation results. Additionally, the smaller, closed modeling systems enable a more efficient mass balance checking because each model domain is a single watershed with only one outflow location. To develop a composite watershed-modeling domain consisting of all watersheds either overlying or immediately adjacent to the area of the site-scale UZ flow and transport model, the boundary of the UZ model was overlain on the numerically defined drainage networks obtained from CHNNET16 V1.0. The outflow cell (the discharge point for all upstream grid cells) of each major drainage network affecting the UZ model area was identified using TRANSFORM for a visual analysis of the flow accumulation map (Figure 6-11). A total of 10 separate watershed model grids were extracted using the routine WATSHD20 V1.0, which executes a reverse flow- routing algorithm to identify all model cells upstream from the selected outflow cell. The model grid defining the extracted watershed domain includes the active grid cells upstream from the outflow cell and also an outer perimeter layer of inactive cells that are needed as boundary cells during surface-water flow routing. The perimeter cells are also used in the mass-balance checking calculation performed using Equation 13 to ensure that outflow is consistent with the cumulative mass balance calculated for all grid cells in the watershed model domain. Whether or not the calculated flow divides accurately represent the natural system depends on the resolution and accuracy of the DEM, and the accuracy of the flow routing algorithm in capturing the true channel network. An assumption was made that the accuracy of the DEM and the accuracy of the D8 flow routing algorithm was adequate for the purpose of this modeling activity. This assumption was based in part on the knowledge that the model results would be interpolated onto the coarser mesh of the UZ flow and transport model. The assumption was also based on the knowledge that a static DEM was being used to represent topography for the next 10,000 years. In other words, an accurate representation of the present-day channel network at Yucca Mountain is considered to be irrelevant given that the active channel network is likely to change significantly over a 10,000-year period, particularly if wetter climates develop. Figure 6-11. Isolation of the drainage networks overlying the area of the UZ flow and transport model. (Attachment II) The main watersheds included in the composite watershed model area are Yucca Wash, Drill Hole Wash, Dune Wash, Solitario Canyon #1, and Plug Hill17 (Figure 6-12). Additional drainages that were included in the composite model to provide a buffer zone along the western edge of the UZ model are Jet Ridge #1, Jet Ridge #2, Jet Ridge #3, Solitario Canyon #2, and Solitario Canyon #4. The watershed model domains were restricted to the western side of the Fortymile Wash channel because the Yucca Mountain DEM captures only a small part of the lower Fortymile Wash drainage, and complete watersheds cannot be defined for most sections of the DEM east of Fortymile Wash. With the exception of Yucca Wash, and Jet Ridge #1, all watersheds are fully defined by the DEM. For Yucca Wash, northern sections of the watershed are missing because the DEM does not extend far enough north (the northern perimeter of the watershed is defined by the DEM boundary). The missing area is small relative to the total watershed area, and the only potential impact occurs in the Yucca Wash channel along the northeastern perimeter of the UZ flow and transport model area. For Jet Ridge #1, the lowermost segment of the eastern perimeter is defined by the DEM boundary. The missing eastern section of Jet Ridge #1 is an insignificant area that does not affect results obtained for the UZ flow and transport model area. Figure 6-12. Location of 10 watershed model domains included in the composite watershed model area overlying the area of the UZ flow and transport model. (Attachment II) 6.6 GEOSPATIAL INPUT PARAMETERS The parameters included in the geospatial-parameter input file defining each watershed model domain are: grid cell identifier, UTM easting (meters), UTM northing (meters), latitude (decimal degrees), longitude (decimal degrees), row identifier, column identifier, downstream grid cell identifier, number of upstream cells, elevation (meters), slope (degrees inclination from horizontal), aspect (degrees from north), soil-type identifier, soil depth class identifier, soil depth (meters), rock-type identifier, topographic position identifier, vegetation-type identifier, percent vegetation cover, and 36 blocking-ridge angles. 17The names selected for the extracted watershed modeling domains are not necessarily the established geographic names for these physiographic features. They are used here only as a means of identifying the separate watershed models. 6.6.1 Topographic Parameters (Slope, Aspect, and Blocking Ridges) Topographic parameters, such as the flow-routing parameters discussed in Section 6.5.2, are calculated directly from the DEM and included in the geospatial-parameter input file. Additional topographic parameters include slope, aspect, and blocking ridge angles, which are required by the SOLRAD, sub-model in INFIL V2.0, routine in the potential evapotranspiration sub-model. Slope is also a required input parameter for estimating soil depths using the routine SOILMAP6 V1.0. Slope and aspect were calculated for the 1996 version of the net-infiltration model (Flint et al., 1996) using standard GIS applications in ARCINFO V6.1.2. The 36 blocking ridge angles (degrees of inclination above horizontal) are calculated at each 10degree horizontal arc (with the azimuth aligned in the UTM northing direction) for each grid cell using the routine BLOCKR7 V1.0. Calculations were performed using the DEM as input and a technique for approximating the 10-degree horizontal angles based on northing and easting grid cell distances. The blocking ridge parameters cannot account for topographic influences outside of the DEM, and thus the blocking ridge effect is only partly accounted for along the perimeter of the DEM. 6.6.2 Soil-Depth Classes A soil-depth-class map consisting of four separate soil-depth classes was developed for the 1996 net-infiltration model (Flint et al., 1996, Figure 13; DTN: GS960508312212.007). The four depth classes represent different ranges in actual soil depths that were estimated using a combination of Quaternary geologic maps, field observations, and soil depth recorded at borehole sites (Flint and Flint, 1995, Table 2). Depth class #1 identifies locations with soil depths ranging from 0 to 0.5 meter and primarily occurs in rugged upland areas. Depth class #2 identifies deeper soils ranging from 0.5 to 3.0 meters occurring at mid to lower side-slope locations in upland areas affected by slumps, slides, and other mass-wasting processes. Depth class #3 identifies locations in the transition zone between upland areas and alluvial fans or basins with intermediate soil depths ranging from 3 to 6 meters. Depth class #4 identifies soils with depths of 6 meters or greater. The soil-depth classes were used to estimate soil depths based on calculated slope and an empirical soil-depth model described in Attachment IV. 6.6.3 Soil Types A soil-type classification map is defined in Flint et al. (1996; Figure 14, DTN: GS960508312212.007). The soil-type classification is based on a recombination of mapped Quaternary surficial deposits and defines 10 unique soil types based primarily on differences in soil texture (Figure 6-13). Soil texture and porosity data were obtained using field samples and laboratory measurements (DTN: GS950708312211.002) as described in Flint et al. (1996; p. 42). Soil hydrologic properties consisting of hydraulic conductivity, residual water content, and field capacity were both measured and estimated using the soil texture data as described in Flint et al. (1996, p. 41) and Attachment IV. The soil hydrologic properties included directly as model input (using the model control file) for INFIL V2.0 consist of porosity, field capacity, residual water content, and saturated hydraulic conductivity, and are the same as the properties used in the 1996 version of the net-infiltration model (INFIL V1.0) which are listed in Flint et al. (1996, Table 4, p. 42) and Attachment IV. Figure 6-13. Recombined soil classes used in the 1996 net-infiltration model. (Attachment II) 6.6.4 Bedrock Geology Bedrock geology was defined for each grid element using three different ARCINFO map coverages and a vector to raster conversion performed by ARCINFO. Figure 6-14 indicates the areal coverage of the three maps: the 1:6,000-scale Bedrock Geologic Map of the central block area by Day et al. (1998, DTN: GS971208314221.003), the Preliminary Geologic Map of Yucca Mountain by Scott and Bonk (1984, DTN: MO0003COV00095.000), and the Geologic Map of the Topopah Spring Northwest Quadrangle by Sawyer et al. (1995, DTN: GS000300001221.010). Within the UZ flow and transport model area, bedrock geology for the net-infiltration model (which is defined as a unique integer identifier for each rock type in the geospatial-parameter input file) is primarily defined by Day et al. (1998). Bedrock geology for the northern and southern perimeter sections of the UZ flow and transport model area is defined by Scott and Bonk (1984). Figure 6-14. Overlay of the three geologic maps used to define rock types underlying the root zone and included in the bottom root-zone layer. (Attachment II) Bedrock geology for the 1996 version of the net-infiltration model was defined by the Scott and Bonk (1984; DTN: MO0003COV00095.000) and the Sawyer et al. (1995, DTN: GS000300001221.010) map coverages (Flint et al., 1996, Figure 10). To incorporate the Day et al. (1998) geology for INFIL V2.0, the rasterized version of the Day et al. (1998) map coverage (DTN: GS971208314221.003) was integrated with the bedrock geology defined by the 1996 version of the geospatial input file (DTN: GS000308311221.004) using the routine GEOMAP7 V1.0. Figure 6-15 indicates that for some locations within the Day et al. (1998) geologic map coverage, bedrock geology for the net-infiltration model is defined by GEOMAP7 V1.0 using the Scott and Bonk (1984) geologic map (DTN: MO0003COV00095.000). The purpose of including the Scott and Bonk (1984) geology (DTN: MO0003COV00095.000) within the Day et al. (1998) map coverage (DTN: GS971208314221.003) is to estimate bedrock geology for some locations mapped by Day et al. (1998) as alluvium or colluvium and having intermediate soil depths less than 6 meters (as defined by the soil depth class map from Flint et al. (1996, Figure 13; DTN: GS960508312212.007). Locations having intermediate soil depths primarily occur in the transition from upland areas to alluvial fans and basins. Assigning a bedrock type of colluvium or alluvium to grid cells having a soil depth less than 6 meters was considered problematic in terms of modeling net infiltration. Conceptually, all grid cells with a soil depth less than 6 meters should be underlain by a consolidated bedrock type to avoid inconsistency in terms of the assigned soil depth and the estimated root-zone depth. The available geologic maps, however, are representations of the surface geology and do not necessarily indicate bedrock geology for locations having one to 6 meters of soil cover. In general, the consolidated bedrock geology defined by Scott and Bonk (1984) extends farther into the intermediate soil-depth areas then the consolidated bedrock geology defined by Day et al. (1998) and thus was substituted by GEOMAP7 V1.0 for the colluvium or alluvium defined by Day et al. (1998) at many locations with intermediate soil depths. To ensure that a consolidated rock type was defined as the bedrock geology for all grid cells having less than 6 meters of soil, the routine GEOMOD4 V1.0 was applied to the geospatial parameter file created by GEOMAP7 V1.0. GEOMOD4 V1.0 also performs a modification of the depth-class #3 boundary defined in Flint et al. (1996, p. 40) for all cases where the boundary was found to be inconsistent with the updated bedrock geology. The algorithm creates a new buffer zone of intermediate soil depths defined by depth class #3 using the updated alluvium/colluvium – consolidated bedrock boundary. The result is that the modified depth-class parameters defined by GEOMOD4 V1.0 do not allow for grid cells with depth class #4 (thick soils) to be adjacent to grid cells with thin soils (depth classes #1 and #2). All thin soils are separated from the thick soils by at least one grid cell assigned to depth class #3. Once the soil- depth classes are finalized, GEOMOD4 V1.0 identifies all grid cells having less than 6 meters of soil and alluvium or colluvium as bedrock and interpolates the bedrock geology based on the most prevalent consolidated rock type found within a search neighborhood of one to two grid cell layers. Bedrock geology is represented in the geospatial-parameter-input file using a unique integer identifier for each rock type (see Attachment IV for details). The identifier is linked to an estimated bulk (field-scale) saturated hydraulic conductivity in the model control file. The bulk saturated hydraulic conductivity represents a combination of the saturated hydraulic conductivity of the matrix (Flint, 1998, DTN: MO0109HYMXPROP.001) and the saturated hydraulic conductivity of fracture-fill material (DTN: GS950708312211.003) based on the fracture density of the particular rock type. The saturated hydraulic conductivity of the fracture fill material was measured in the laboratory and averaged 43.2 mm/d (DTN: GS950708312211.003) (see Attachment IV). Estimates of saturated hydraulic conductivity were calculated using these values of fracture conductivity for the percentage of area covered by the fracture per square meter of rock, given the fracture density and size of aperture available through which water can flow. This was added to the saturated hydraulic conductivity of the rock matrix and weighted averages of bulk bedrock saturated hydraulic conductivity were calculated on the basis of percentages of matrix and fractures by lithostratigraphic unit. These calculations are also provided in Flint et al. (1996, Table 2), in DTN: GS000308311221.004, and in Attachment IV. Bulk saturated hydraulic conductivity values for the updated Day et al. (1998) geology rock types were defined using lithologic correlations with the Scott and Bonk (1984) geology (DTN: MO0003COV00095.000). In general, the number of unique bedrock units with different bulk hydraulic conductivity values decreased with the incorporation of the Day et al.(1998) geology. Figure 6-15 shows the bulk bedrock hydraulic conductivity for the three combined geologic map coverages. The bulk saturated hydraulic conductivities range from a minimum of less than 10 mm/year for densely welded tuffs with low matrix hydraulic conductivity and relatively small fracture densities to a maximum of more than 100,000 mm/year for alluvium and colluvium. Figure 6-15. Estimated field-scale saturated hydraulic conductivity of bedrock or soils underlying the root zone. (Attachment II) 6.7 ESTIMATED ROOT-ZONE DEPTH AND VERTICAL LAYERING 6.7.1 Estimated Soil Depth Soil depth is estimated using a combination of the soil-depth class map and an estimated linear relation between soil depth and slope within each depth class. The empirical soil-depth model is based on an assumed soil depth/slope correlation (DTN: GS000308311221.004), Attachment IV, within the soil depth classes defined for the 1996 version of the net-infiltration model (Flint et al., 1996; DTN: GS960508312212.007). The conceptual soil-depth model for depth class #1 assumes that soils are thinnest at summit and ridge-crest areas as well as steep side slopes. Thicker soils are expected to occur at the relatively gently sloping shoulder areas that define the transition between summit or ridge-crest areas and steep sideslope areas. Thicker soils are also expected to occur for more gently sloping foot-slope locations. The model for soil-depth class 1 is defined by: D = 0.03 * S + 0.1, S £ 10 (Eq. 14) D = 0.013 * (10 - S) + 0.4, 10 < S < 40 D = 0.01, S ‡ 40 where D = soil depth (in meters), and S = slope (degrees). The model for depth class #2 is For depth class #4, soil depth is set to a uniform depth of 6 meters. Figure 6-16 shows the spatial distribution of estimated soil depth (DTN: GS000308311221.004) with relatively thin soils less than 0.2 meter deep along steep sideslopes, and thicker upland soils 0.3 to 0.4 meter along ridge-top and shoulder areas. All locations having a soil depth of 6 meters(as indicated by the color gray in Figure 6-13) are underlain by alluvium or colluvium rock- types. The six-meter soil depth represents only the depth of the root zone, not the actual soil depth. Figure 6-16. Estimated soil depth using the 1996 soil-depth class map and calculated land-surface slope. (Attachment II) 6.7.2 Estimated Root-Zone Depth The estimated soil-depth map is used to estimate the depth of the root zone by using an empirical model based on field observations and neutron moisture meter data analyses: RZk = SDk + [RZc - (SDk/RZd)], [RZc - (SDk/RZd)] ‡ 0 (Eq. 17) defined by: D = 2 – (0.05 * S), S < 32 (Eq. 15) D = 0.4, S ‡ 32 and the model for depth class #3 is defined by: D = 6 - (0.16 * S), S £ 25 (Eq. 16) D = 2.0 RZk = SDk, [RZc - (SDk/RZd)] £ 0 where RZ is the estimated root-zone depth (in meters) at grid location k; SD is the estimated soil depth at grid location k; and RZc and RZd are coefficients supplied as input in the model control file. The coefficients are used to adjust the depth of the root zone extending into bedrock for locations with thin soils. For example, for the modern climate simulations, RZc and RZd were both set to 2, and thus the extension of the root zone into bedrock was limited to locations with soil depth less than four meters. Using Equation 17, the root zone extends two meters into bedrock for locations having no soil, one meter into bedrock for locations having two meters soil depth, and 1.5 meters into bedrock for locations having one meter soil depth. The empirical model defined by Equation 17 is consistent with the estimated root-zone depth defined in Flint et al. (1996, Table 5) and is derived on the basis of field observations of rooting depth into bedrock, and evaluation of measurements of extraction of water within the estimated root zone in bedrock, using neutron moisture meters. 6.7.3 Estimated Root-Zone Layering and Root-Zone Density Root-zone layers are defined to represent differences in root-zone density, storage capacity, and hydrologic properties affecting evapotranspiration and percolation within the root zone. The layers are used to model vertical percolation and redistribution of water in the root zone, as described in Sections 6.4.5 and 6.4.6. The top layer is used to model both bare-soil evaporation and shallow transpiration. Three lower root-zone layers, which include two soil layers and the bottom bedrock layer, are used for modeling transpiration only. The thickness of each of the four root-zone layers is variable and is defined by the soil-depth map. The thickness of the bottom bedrock layer, RZ4k, is the extension of the root zone into bedrock, as defined using Equation 17 above. The thickness of each of the three soil root-zone layers is defined using: RZ2k = SDk - RZa RZ3k = 0 RZ1k = RZa RZb ‡ SDk RZ2k = RZb - RZa RZ3k = SDk - RZb where RZ1 is the top root-zone layer thickness (in meters) for grid cell k; RZ2 is the second soil layer thickness; and RZ3 is the third soil layer thickness. Model coefficients RZa and RZb define the maximum thickness of the soil layers. For example, for the modern climate scenarios, RZa = 0.3 and RZb = 1.5, and thus the maximum thickness of the top layer is 0.3 meter, the maximumthickness of the second layer is 1.2 meters, and the maximum thickness of the third layer is 4.5 meters. According to this model, root zones in upland locations with thin soils less than 1.5 meters deep consist of one or two soil layers and one bedrock layer, while alluvial fan terraces having 6 meters or greater soil thickness have three soil layers and no bedrock layer. RZ1kRZ2k = = SDk 0 SDk £ RZa (Eq. 18) RZ3k = 0 RZ1k = Rza RZa £ SDk £ RZb The multi-layered root-zone model represents variable root-zone properties between layers by using a set of model coefficients specific to each layer. The model coefficients consist of two root-density-weighting factors for each layer (including the bedrock layer) and are defined in the model control file. These root-density-weighting factors were assumed, but are partially based on field observations of root distributions of various plant types at Yucca Mountain. Soil storage capacities are defined for the three soil layers using the soil-type ID assigned to each grid cell in the geospatial-parameter input file, soil porosity, and soil thickness. The bedrock fracture porosity (a coefficient included in the model control file) and the thickness of the bedrock layer define the storage capacity of the bedrock layer. For all simulations performed in this analysis/model activity, a fracture porosity of 0.02 was determined for the modern climate during model calibration based on comparisons of simulated versus measured stream flow. This value is consistent with model results from CRWMS M&O (2000a, Section 2.5.2.3). The total water- storage capacity of the root zone is a function of the estimated root-zone depth, soil depth, soil porosity, and the bedrock fracture porosity. Figure 6-17 illustrates the calculated total water- storage capacity of the root zone. Minimum storage capacities of approximately 40 mm occur in upland areas with very thin soils and indicate the root-zone water storage capacity of fractured bedrock. Maximum storage capacities of more than 1,000 mm occur at locations with thick alluvium and no bedrock layer included in the root zone. Figure 6-17. Total water-storage capacity of the modeled root zone, including bedrock and soil layers. (Attachment II) 6.8 MODEL CALIBRATION The 1996 model was initially calibrated by comparing model-calculated volumetric water contents and infiltration rates with those obtained through analysis of time-series water-content profiles from the network of boreholes described in Section 6.3.4 and in Flint et al. (1996). Evapotranspiration parameters were adjusted during these calibrations which are presented in detail in Section 6.8.3. Because the 1996 model did not account for infiltration from surface- water runoff in channels, it was necessary to increase precipitation input to the model to obtain a good match with the borehole water-content profiles, particularly during wet years. Because the 1999 infiltration model has the capability to route surface runoff and calculate the resulting infiltration in channels, the calibration approach for the 1999 model differed from that for the 1996 model. Accordingly, the 1999 infiltration model was calibrated through comparison of simulated and measured daily mean discharge at five stream gages in operation at Yucca Mountain during 1994–95 (DTN: GS941208312121.001, GS960908312121.001). To facilitate the trial-and-error calibration process using smaller watershed domains with reduced simulation run-times, calibration watershed models were extracted using the routine WATSHD20 V1.0 (as described in Section 6.5.3) and the locations of the stream-gaging sites. The simulated run-on depth for the grid cells in which the gages were located was converted to a daily mean discharge rate, in cubic feet per second, and compared to the recorded daily mean discharge rate. Using a manual trial-and-error process, parameters defining the root-zone model were adjusted until a satisfactory fit between simulated and recorded daily mean discharge at all five gaging sites was obtained. The primary parameters adjusted were the thickness of the bedrock layer included in the root-zone for upland areas, the effective storage capacity of the bedrock layer available for evapotranspiration, and the root-zone density weighting parameters for all four root-zone layers. The root-zone weighting parameters mathematically represent the relative density of the roots for the root-zone layers. These are assumed values, and the bounds within which the densities could vary were also assumed. For wetter future climates, the parameters were adjusted to represent an assumed increase in root density and root zone depth with an increase in vegetation cover and a change in vegetation type that was, in turn, assumed to be representative of the predicted future climate conditions provided by USGS (2000b). The bounds assumed for the thickness of the bedrock layer included in the root-zone for upland areas is 0 to 2m, the effective storage capacity of the bedrock layer available for evapotranspiration ranges from 0.05 to 0.5, and the root-zone density weighting parameters for the four root-zone layers range from 0.01 to 0.6. The parameters were manually adjusted within these bounds until measured runoff could be reasonably matched by the simulation results simultaneously for all five calibration watersheds. It was observed during model calibration that a sufficient bedrock storage term within the root- zone was needed to produce satisfactory model calibration results, given that the effective bedrock hydraulic conductivity and the soil depth parameters were held constant during model calibration. Another parameter that was adjusted during calibrations was effective surface-water flow area. This parameter had little effect on the resultant net infiltration. From field observations it was assumed that an initial area was about 1 to 99 percent of the grid block. If the stream discharge generated using this value did not match field observations then this value was changed during model calibration. 6.8.1 Climate Input Used for Model Calibration The climate input file used for model calibration, MOD3-PPT.DAT (Attachment III, Yucca Mountain 1980-95 Developed Daily Precipitation Record), consists of daily precipitation estimates and was developed using an EXCEL worksheet (MOD3-PPT.XLS) and daily precipitation records from 1980 through 1995 at Yucca Mountain and from nearby locations (DTN: GS000200001221.002, GS000100001221.001, GS000208312111.001, GS000208312111.003, GS970108312111.001, GS960908312111.004). The developed record of daily precipitation is only an approximate representation of actual conditions over the general location and ground surface elevation of the potential repository area. Daily precipitation estimates for 1988 through 1995 were developed using the mean of the measured daily precipitation at USGS weather stations #1 and #3 located on Yucca Mountain (DTN: GS000208312111.001, GS000208312111.003, GS970108312111.001, GS960908312111.004). For 1980 through 1987, daily precipitation was estimated using a linear interpolation model and available precipitation records from six Nevada Test Site (NTS) monitoring sites (DTN: GS000200001221.002) and two National Weather Service (NWS) monitoring sites located near Yucca Mountain (DTN: GS000100001221.001). The linear interpolation model was developed using a weighted inverse-distance-squared estimation method. The weighting factors were calculated as the ratio of average annual precipitation for each of the eight stations over the mean calculated from the two USGS weather stations for the period July 17, 1987 through September 30, 1994 (this is the period for which the two sets of records overlapped). Table 6-1 provides a listing of all stations and corresponding precipitation records used to develop MOD3-PPT.DAT. Figure 6-18 shows the temporal distribution of daily precipitation amounts for the 1980-95 developed record. Table 6-1. Stations and precipitation records used to develop the 1980-95 daily climate input files used for model calibration and for modern climate scenarios. (Attachment I) Figure 6-18. Developed 1980–95 daily precipitation record used as input for model calibration. (Attachment II) Daily air-temperature estimates used for model calibration were simulated internally in INFIL V2.0 using the sine wave function defined by Equation 2 in Section 6.4.2. The function coefficients are based on air temperature measurements (DTN: GS000208312111.002) and are described in Flint et al. (1996, eq. 20), where T1 = 17.3 degrees Celsius for mean annual temperature and T2 = 11.41 degrees Celsius for the half amplitude of the sine wave function defining the seasonal deviation from mean annual temperature. 6.8.2 Stream Flow Records Used for Model Calibration The gage locations and records for the five stream gaging sites located on Yucca Mountain (Figure 6-19) (and within the area of the UZ flow and transport model) were obtained from stream gaging stations (DTN: GS941208312121.001, GS960908312121.001). The records consist of the estimated daily mean discharge, in cubic feet per second (ft3/s or cfs), for each day of the period covered by the record. Figure 6-19. Location of stream-gaging sites and calibration watersheds defined by the gaging sites. (Attachment II) 6.8.3 Model Calibration Results The 1996 model was calibrated by comparing measured volumetric water contents using neutron moisture meters (DTN: GS940708312212.011, GS941208312212.017, GS950808312212.001, GS960108312212.001) and simulated water-content data using the 1996 version of the infiltration model (Flint et al., 1996) that did not include stream-routing. At selected neutron boreholes, water-content data were summed for the soil profile and compared to the model simulation for the same time period by using the developed site precipitation record ( Attachment III, Yucca Mountain 1980-95 Developed Daily Precipitation Record). Two examples are presented: borehole USW UZ-N50, with soil 2.7 meters deep (Figure 6-20A) and borehole UE25 UZN #63, with soil 1.7 meters deep (Figure 6-20B). The match of the simulated and measured volumetric water content was improved by varying the a and b coefficient values in the Priestley-Taylor equation, which adjusted the evapotranspiration calculations of the simulated water content to better match the measured water content. Simulated water content compared well with measured water content, which indicated that the water-balance technique used in the model to calculate simulated net infiltration could correctly maintain the proper soil moisture. This is important for accurate determination of when the water-storage capacity of the soil was exceeded and ponding at the soil/bedrock interface had occurred, which controls the calculation of net infiltration. Figure 6-20. Graphs of comparisons of simulated net infiltration using water content in neutron boreholes (A) USW UZ-N50 and (B) UE-25 UZN #63. (Attachment II) Using the 1996 model calibrated for evapotranspiration, it was then necessary to determine if simulations of net infiltration matched that calculated from the changes in water content in the neutron-borehole data. A direct comparison of measured neutron-borehole and simulated flux is difficult because the flux measured in the borehole occurs days to months following precipitation. However, annual comparisons between measured and simulated flux at the neutron boreholes can be used. In order to simulate net infiltration for a comparison at neutron-borehole point locations, precipitation was required at those specific locations. This was done using the developed daily precipitation record described in Section 6.8.1 and spatially distributed to the neutron borehole locations (Flint and Flint, 1995) using Equation 3. Measured average annual precipitation is shown as the open squares in Figure 6-21 on a yearly basis, for the years 1985-95 for which neutron-borehole data is available. Some variation in average annual precipitation among boreholes can be seen for any given year (the crosses in Figure 6-21) due to the differences in borehole elevation, especially for those years with higher average annual precipitation. To improve the model calibration, because the infiltration model neglects runoff in channels by not routing runoff between grid cells, precipitation was increased in grid cells where there were channels to simulate increases in water available for infiltration due to concentration of water in the channels. This is indicated by the open circles in Figure 6-21. A 30-percent enhancement factor was chosen on the basis of iterations simulating infiltration from the simulated precipitation as described in the following paragraph. Average annual precipitation simulated including the enhancement factor for neutron boreholes located in channels, increased the variability among boreholes. Figure 6-21. Graph of average annual precipitation simulated at each borehole using precipitation record for 1980-95, and simulated with a 30-percent enhancement in the channel grid blocks only, compared to developed precipitation record distributed geostatistically to each borehole. (Attachment II) These simulated precipitation data were then used to simulate net infiltration at each borehole using the model (Figure 6-22). The average annual precipitation described above and estimates of net infiltration based on neutron-borehole water-content data (DTN: GS960508312212.008) are again represented by the open squares. Models were fit to each data set, and the results indicated that the regression model of net infiltration simulated with the model, using the 30percent increase in precipitation at boreholes located in channels, provides a reasonable match to the calculated yearly values of flux (DTN: GS960508312212.008). Net infiltration simulated without the 30-percent channel enhancement factor is slightly lower (Figure 6-22). The only support for using a 30-percent enhancement factor is the improved match to the neutron-hole flux data. Because average annual precipitation was distributed to each borehole instead of using measured precipitation data at each borehole, detailed statistical analysis of the match would not be appropriate. General trends are adequate to indicate that the model represents the influence of the site characteristics, such as precipitation, topography, and soil and rock properties, as well as they currently are known. Figure 6-22. Graph of precipitation relative to infiltration simulated for each borehole with no channel-enhancement factor and with 30-percent channel-enhancement factor, and measured mean annual infiltration for all boreholes. (Attachment II) The 1999 model was calibrated by using stream discharge data. Table 6.2 lists the measured versus simulated daily mean discharge values at the five gaging sites for the two recorded 1995 storm events of January 25–26 and March 11, 1995. The results were an acceptable overall fit of simulated to measured stream flow during the March 11,1995 event, which was approximately an order of magnitude greater than the January 25–26 event. The model correctly predicts a higher daily mean discharge at the upper Pagany Wash gage relative to the lower Pagany Wash gage. The total simulated daily mean discharge of 33.63 cfs for the five calibration watersheds provides a reasonable comparison with the total measured daily mean discharge of 31.20 cfs for the March 11,1995 stream flow event. Comparison of model results with the January event indicates greater difficulty in matching the smaller stream flow events. This difficulty is associated with higher variability in predicting the occurrence and magnitude of a small and barely initiated stream flow event versus a large and well-sustained flow event. The January 25–26 event did not include stream flow at the upper Drill Hole Wash gaging site, and only a barely measurable trace flow at the lower Pagany Wash gaging site. In addition, the January 25–26 event may have been affected by snowfall and subsequent snowmelt occurring at higher elevations within the calibration watersheds, which would help explain the one-day delay in the measured stream flow as compared to the simulated flow. The calibration simulations did not include a snowmelt simulation because the daily air temperature climate input for the 1980–95 calibration period was not completed at the time of model calibration. The overall occurrence of stream flow at Yucca Mountain is still correctly predicted for the January 25–26 event, along with the minimal flow volumes and the much higher relative variability in flow across the five gaging sites. The two flow events were the only occurrences of stream flow observed for the entire 1994–95 recording period and this was correctly predicted by the model. The relative magnitude of the smaller January 25–26 event compared to the larger March 11 event was fairly well predicted by the model. Table 6-2. Comparison of measured versus simulated daily mean discharge at stream- gaging sites for stream flow events in 1995. (Attachment I) The parameter values used in calibrations discussed above varied during the calibration exercises over the bounds indicated. Selection of the final set of parameter values was based on the combination of values that provided the best match to the measured stream flow records. The final parameter values were consistent across the five watersheds and are as follows: maximum thickness of the bedrock layer is 2 meters, the effective storage capacity of the bedrock layer available for ET is 0.02, root-zone density weighting parameters for the upper soil depth zone is 1.0, second depth zone is 0.5, third depth zone is 0.2 and the bedrock zone is 0.01. The effective surface-water flow area parameter is 0.5. This is a non-unique solution because various different combinations of parameter values may provide similar or even identical results. The most important parameters adjusted during model calibration were the root zone weighting factors, the effective storage capacity of bedrock in the root zone (the product of the thickness of the root zone in bedrock x the effective bedrock porosity), and the scaling factor used to determine the effective surface-water flow area. Similar calibration results might have been achieved by adjusting the bulk saturated bedrock hydraulic conductivity, soil depth, field capacity, and soil saturated hydraulic conductivity, but a detailed parameter optimization exercise was not conducted. 6.9 REPRESENTATION OF CLIMATES FOR MODEL APPLICATION The modern, monsoon, and glacial-transition climate stages are each represented with a drier lower bound, a wetter upper bound, and an intermediate mean climate scenario (DTN: GS000208311221.002). The lower and upper bound scenarios are developed to account for uncertainty and variability in the characteristics of precipitation and air temperature for each estimated future climate stage. The mean climate scenario is developed to represent average conditions within each stage. To develop a total of nine separate climate scenarios (three for each climate stage), separate INFIL V2.0 simulation results are averaged or sampled using the postprocessing program MAPADD20 V1.0. The program MAPADD20 V1.0 also combines the separate simulation results obtained for each of the 10 watershed modeling domains into a single result for the composite watershed model domain. Each individual simulation is defined by a unique combination of daily climate input and root-zone model coefficients (the coefficients are used to represent different vegetation characteristics). Characteristics of precipitation and air temperature for the estimated drier lower and wetter upper bound monsoon and glacial transition climate scenarios are defined in USGS (2000b). To define the mean net-infiltration values for the monsoon and glacial transition scenarios, the lower and upper bound net-infiltration estimates for each climate stage are averaged for each model grid cell. This implies that the distribution of net infiltration between the lower- and upper-bound scenarios for the monsoon and glacial transition climate stages is symmetric (e.g., normal or uniform). To develop the daily climate input for INFIL V2.0 that is considered representative of the characteristics of the estimated upper bound monsoon, lower bound glacial transition, and upper bound glacial transition future climate scenario, available daily climate records at present-day analog sites were used. Selection of the representative analog sites is defined by USGS (2000b) and is based on a comparison of predicted versus measured Mean Annual Precipitation (MAP), Mean Annual Temperature (MAT), and the seasonal distribution of MAP and MAT. For each climate scenario, at least two analog sites were identified. Individual simulations were performed for each analog site, and the multiple simulations were averaged for all model grid cells to obtain a single net-infiltration estimate for each climate scenario. 6.9.1 Assumptions Concerning Future Climate Scenarios and Their Simulation with the Infiltration Model Estimates of potential future climate conditions at Yucca Mountain for the next 10,000 years were taken directly from USGS (2000b). The scenarios define the timing, duration, and characteristics of three distinct potential future climate stages based on analysis and interpretations of periodic cycles identified in paleoclimate records. A general assumption is made that patterns in past climate cycles will be repeated in the future. The first climate stage is a continuation of current modern-day climate conditions from present day to approximately 600 years into the future. The second climate stage begins at approximately 600 years from present day and is characterized as a monsoon climate with wetter summers relative to modern climate. The third climate stage begins at approximately 2,000 years from present day and is characterized as a glacial transition climate with cooler air temperatures and on average higher annual precipitation relative to modern climate. The duration of the glacial transition climate is estimated to be 10,000 years, extending 2,000 years beyond the required 10,000-year estimation period. Results from USGS (2000b) include the identification of a set of appropriate current climate analog sites for representing the estimated future climate stages in terms of MAP, MAT, and seasonal distributions of MAP and MAT. To incorporate uncertainty as variability in precipitation, and to a lesser degree air temperature characteristics, in the three estimated climate stages and corresponding estimates of net infiltration, results from USGS (2000b) define a lower and upper bound climate scenario within each climate stage. To reduce uncertainty in the selection of a single “best” analog site, the lower and upper bound climate scenarios are represented using a set of two or three analog sites identified by USGS (2000b). Net infiltration is simulated using the climate input developed from the records at each analog site, and the results are averaged to obtain an estimate of net infiltration for a given climate scenario. Assumptions and uncertainties regarding the estimated monsoon and glacial transition potential future climate scenarios, including the timing and duration of each estimated future climate stage, are documented by USGS (2000b). For model application using the developed daily climate input for each climate scenario, assumptions in defining the root-zone model coefficients are required. In developing the net-infiltration estimates for each climate scenario using a simple averaging of multiple simulation results, it is assumed that the length of the various simulation periods are adequate for characterizing a given climate scenario. To develop an estimate of net infiltration for the mean climate scenario within the monsoon and glacial transition climate stages, a uniform distribution of net-infiltration rates is assumed between the upper and lower bound estimates at each model grid cell. Net-infiltration estimates for the mean modern climate net-infiltration scenario were obtained by averaging simulations performed specifically for the mean modern climate and thus are not necessarily equivalent to the arithmetic mean of the estimates for the upper and lower bound modern climate scenarios. 6.9.2 Development of Results for the Modern Climate Scenarios Net-infiltration estimates for the mean modern climate scenario (which is also used to define the lower bound glacial transition climate scenario) were calculated using MAPADD20 V1.0, the net-infiltration simulation results for the 1980–95 model calibration period, and results obtained using a 100-year stochastic simulation of daily precipitation modeled with the NTS station 4JA precipitation record (Attachment V, Development of Daily Climate Input using DAILY09 V1.0). A summary of the climate input used for the 1980-95 calibration period and the 100-year 4JA stochastic simulation is provided in Table 6-3. The length of the 1980-95 calibration period is short relative to the length of climate records considered adequate for characterizing climate conditions in the southern Nevada region, and the 4JA record provides a relatively long-term (longer than 30 years) record of precipitation near the potential repository site. The 100-year stochastic simulation provides an even longer-term representation of climatic conditions while incorporating the magnitudes and temporal distribution of the shorter-term measured record. In performing the INFIL V2.0 simulations, the daily precipitation amounts for the 4JA 100-year stochastic simulation are scaled using the ratio of mean annual precipitation between the Yucca Mountain (181 mm) and 4JA (140 mm) sites in order to account for orographic effects. The stochastic precipitation model used to develop the 100-year simulation for 4JA consists of a pseudo-random number generator that provides a normalized uniform deviate for a two-step process of simulating daily precipitation. The first step uses a third-order two-state (precipitation either occurs or does not occur) Markov chain process to determine the occurrence of daily precipitation, and the second step uses a modified, exponential, cumulative-probability- distribution function to determine the magnitude of daily precipitation. The third-order Markov chain model defines the probability of precipitation for the fourth day of a sequence given the known sequence of precipitation occurrences for the preceding three days. The stochastic simulations are performed using the program PPTSIM V1.0 (STN: 10143-1.0-00), which requires a prime integer seed for the pseudo-random number generator and monthly model parameters for the Markov chain and the cumulative-probability-distribution function. The monthly model parameters are obtained using the program MARKOV V1.0 (STN 10142-1.0-00) and available records of daily precipitation for the site or station being modeled. For this analysis, the monthly parameters for station 4JA were obtained using the daily precipitation record for 4JA through December 31,1993 (DTN: GS000200001221.002), and are identical to the parameters used in Flint et al. (1996, Table 6). Mean net-infiltration estimates for the upper bound modern climate scenario were calculated using MAPADD20 V1.0, the net-infiltration simulation results for the 1980–95 model calibration period, and results obtained using a 100-year stochastic simulation of daily precipitation modeled using the NTS station Area 12 Mesa precipitation record (through December 31, 1993) and the programs MARKOV V1.0 and PPTSIM V1.0 . A summary of the Area 12 Mesa 100-year stochastic simulation of daily precipitation is provided in Table 6-3. For this analysis, the monthly parameters for station Area 12 Mesa are identical to the parameters used in Flint et al. (1996, Table 6). The upper bound modern climate scenario is used to represent wetter conditions from enhanced El Niρo Southern Oscillation (ENSO) activity or other sources of present-day climate variability. Net-infiltration estimates for the lower bound modern climate scenario were obtained using MAPADD20 V1.0 and sampling the 1980-95 simulation, the 4JA 100-year stochastic simulation, and the driest (in terms of net infiltration) 10-year period within the 4JA 100-year simulation for the lowest net infiltration rate at each grid cell. The lower bound modern climate scenario is considered to be representative of climate conditions resulting in minimum net infiltration, which may not necessarily be representative of the driest climate conditions in terms of mean annual precipitation. Table 6-3. Summary of developed daily climate input files used for modern climate scenarios. (Attachment I) 6.9.3 Development of Results for the Monsoon Future Climate Scenarios The lower bound monsoon climate scenario is defined by USGS (2000b) as being equivalent to the mean modern climate scenario. The upper bound monsoon climate is represented using daily climate records from two analog sites identified by USGS (2000b): Nogales, Arizona and Hobbs, New Mexico. A summary of the daily climate records, which were obtained as National Climatic Data Center/National Oceanic and Atmospheric Administration (NCDC/NOAA) records from the EARTHINFO database (DTN: GS000100001221.001), is provided in Table 6-4. The daily climate records from the two sites were exported from the EARTHINFO database (using the NCDC format option), and the exported files (Nogales.dat and Hobbs.dat) were provided as input to the program DAILY09 V1.0, which reformats the NCDC format into the xyz column format required by INFIL V2.0. In addition to reformatting, DAILY09 V1.0 also identifies gaps in the precipitation and the maximum and minimum air temperature records. Minor gaps (10 days or less for precipitation and 20 days or less for air temperature) are filled using an estimate of zero for precipitation and linear interpolation between the days having records on either side of the gap for air temperature. Years having major gaps in the record are identified and omitted from the reformatted output. Average daily air temperature is estimated as the mean of the recorded maximum and minimum daily air temperatures. Output from DAILY09 V1.0, which includes the average daily air temperature estimate, is provided directly as input to INFIL V2.0. Table 6-4. Summary of analog climate records used to develop the daily climate input for the upper bound monsoon climate scenario. (Attachment I) The upper bound monsoon climate net infiltration result is calculated as the arithmetic mean of the separate Nogales (MU1) and Hobbs (MU2) net infiltration simulations using the program MAPADD20 V1.0. The mean monsoon climate net infiltration result is calculated as the arithmetic mean of the lower and upper bound net infiltration results using MAPADD20 V1.0. This method assumes a normal, or symmetrical, distribution in net infiltration results between the lower and upper bound monsoon climate results18. The mean values were calculated using a set of two or more simulation results obtained from the daily climate input developed from the analog sites defined in USGS (2000b). The purpose of using multiple analog sites is to reduce the uncertainty involved in the selection of a single analog site as being representative of the predicted future climate conditions. The fact that unsaturated zone processes are non-linear is not relevant to the concept of reducing uncertainty in model results. Each individual simulation is in effect one realization of a set of possible results, based on the uncertainty in climate input as well as geospatial parameters, model coefficients, and material properties. 6.9.4 Development of Results for the Glacial Transition Future Climate Scenarios The lower bound glacial transition climate is represented using daily climate records from two analog sites identified by USGS (2000b): Beowawe, Nevada and Delta, Utah. A summary of the daily climate records for the two lower bound glacial transition analog sites, which were obtained as NCDC/NOAA records from the EARTHINFO database (DTN: GS000100001221.001), is provided in Table 6-5. Following the methods described in Section 6.9.3., the routine DAILY09 V1.0 is applied to the NCDC format EARTHINFO exported files to develop the daily climate input files for INFIL V2.0 . The lower bound glacial transition net infiltration result is calculated as the arithmetic mean of the separate Beowawe (GL1) and Delta (GL2) net infiltration simulations using the program MAPADD20 V1.0. The upper bound glacial transition climate is represented using daily climate records from three analog sites identified by USGS (2000b): Rosalia, Washington; Spokane Washington; and St. John, Washington. A summary of the daily climate records for the three upper bound glacial transition analog sites, 18 The net infiltration results include the calculated average annual rates for all components of the water balance (precipitation, snow fall, evapotranspiration, root-zone water content change, etc.). A symmetric distribution is assumed for all components of the water balance. which were obtained as NCDC/NOAA records from the EARTHINFO database, is provided in Table 6-6. The routine DAILY09 V1.0 is applied to the exported EARTHINFO files for the three analog sites, and the upper bound glacial transition net infiltration result is calculated as the arithmetic mean of the separate Rosalia (GU1), Spokane (GU2), and Delta (GU3) net infiltration simulations using the program MAPADD20 V1.0. The upper bound glacial transition net infiltration result is calculated as the arithmetic mean of the separate Rosalia (GU1), Spokane (GU2), and Delta (GU3) net infiltration simulations using the program MAPADD20 V1.0. The mean glacial transition climate net infiltration result is calculated as the arithmetic mean of the lower and upper bound net infiltration results using MAPADD20 V1.0. Table 6-5. Summary of analog climate records used to develop the daily climate input for the lower bound glacial transition climate scenario. (Attachment I) Table 6-6. Summary of analog climate records used to develop the daily climate input for the upper bound glacial transition climate scenario. (Attachment I) In addition to the daily climate input files defined for the future climate scenarios, future climate conditions were also represented using root-zone parameters. Increases in vegetation density and changes in vegetation type were assumed for wetter and colder future climates. For the upper bound monsoon climate, the root-zone weighting parameters were adjusted to approximate a 40 percent vegetation cover (as compared to 20 percent for modern climate) and the maximum thickness of the bedrock root zone layer was increased from two meters to 2.5 meters. For the upper bound glacial transition climate, the root-zone weighting parameters were adjusted to approximate a 60 percent vegetation cover and the maximum thickness of the bedrock root zone layer was increased to three meters. All adjustments to root-zone parameters were based on assumed root-zone and vegetation characteristics for the future climate conditions. Calibration of the root-zone parameters to the future climate vegetation characteristics requires developing the net infiltration model for analog field site appropriate for each climate, and this was beyond the work scope of this analysis and modeling activity. 6.10 DEVELOPMENT OF INPUTS FOR UNCERTAINTY ANALYSIS The purpose of the uncertainty analysis described in CRWMS M&O (2000b) is to provide an estimate of the uncertainty in infiltration rates over the footprint of the repository and to utilize the associated uncertainty distributions to provide input for calculations carried out in the Total- System-Performance Assessment. The uncertainty measure is provided by a complementary cumulative distribution function resulting from a set of 100 realizations (or vectors); each of which provides a unique representative infiltration rate. This representative rate, the metric in this analysis, is obtained by calculating the spatial average for the corresponding infiltration rate map, averaged over a rectangular region including the loaded footprint of the repository. Within the scope of this AMR, the developed uncertainty parameters are available in the Technical Data Management System (TDMS) and only the methods used are described here. The application for the parameters for simulating flow and transport in the unsaturated zone at Yucca Mountain is described in CRWMS M&O (2000a). The results developed in this AMR and used for the Infiltration Uncertainty Analysis (CRWMS M&O 2000b) are listed in Table 7-1. 6.10.1 Sub-Watershed Models Developed for Uncertainty Analysis In order to perform an uncertainty analysis (CRWMS M&O, 2000b) in a timely manner, sub- watersheds were identified that would be representative of the loaded potential repository area within the infiltration model domain. Using the procedure described in Section 6.5.3 of this AMR, a total of 7 sub-watersheds were extracted from the geospatial parameter base grid (using the WATSHD20 V1.0 software routine) for the modern climate uncertainty analysis and 17 sub- watersheds were extracted from the geospatial parameter base grid for the future climate uncertainty analysis. The additional sub-watersheds used for the future climate analysis were generated based on a need to increase the run-time efficiency of the sampling algorithm by using smaller modeling domains with fewer grid cells. The total area contained within the sub- watersheds used for the modern and future climate uncertainty analysis is approximately 30 percent of the total net infiltration domain documented in this AMR. A listing of the separate sub-watersheds generated specifically for the net infiltration uncertainty analysis is provided in Table 4-4 of CRWMS M&O (2000b). 6.10.2 Preliminary Input Distributions for Selected Parameters The uncertainty analysis requires estimates of upper and lower bounds and corresponding distribution types for selected model input parameters considered potentially significant to model sensitivity for INFIL V2.0. The ideal approach would have been to include multiple input realizations distributed spatially across all grid cells. However, such an approach was not practical and thus only parameters which could be uniformly scaled using inputs included in the model control file were considered. A total of 12 parameters were identified for application in the net infiltration uncertainty analysis (CRWMS M&O, 2000b). The parameters chosen for development of uncertainty distributions for modern climate were effective bedrock porosity (BRPOROS)19, bedrock root zone thickness (BRZDEPTH), soil depth (SOILDEPM), precipitation (PRECIPM), potential evapotranspiration (POTETMUL), bulk bedrock saturated hydraulic conductivity (BRPERM), soil saturated hydraulic conductivity (SOILPERM), two parameters associated with bare soil evaporation (ETCOEFFA, ETCOEFFB) and effective surface-water flow area (FLAREA). Two additional parameters related to sublimation (SUBPAR1) and melting of snow cover (SNOPAR1) were considered for the estimated future climate simulations. The upper and lower bounds for the parameters selected were determined using a combination of absolute bounds defined by physical limits of the parameter, e.g. porosity and the bedrock root- zone depth could not be negative, and reasonable limits. Reasonable limits are based on existing bounds within the available data. Distributions of the parameters were estimated as normal, lognormal or uniform. The lognormal distributions were assigned to conductivity parameters, and the uniform distribution was assigned to the snow cover parameters, with the remaining assumed normally distributed. 19 The parameter code names identified in brackets correspond to the IDPRAM parameter code names listed in Tables 4-1 and 4-2 in CRWMS M&O (2000b). 6.10.3 Preliminary Climate Input for Defining the Mean Glacial Transition Climate Scenario. A requirement for the intended application of the net infiltration uncertainty analysis (CRWMS M&O, 2000b) is that the output distribution developed from the 100 realizations for a given climate stage can be used to define the uncertainty of the net infiltration model results around the mean climate scenario for that climate stage. As only upper and lower bounding future climate analogs were available from USGS (2000b), and the mean scenario was developed using an arithmetic mean without a distribution, a method to evaluate the uncertainty in the developed mean climate scenario was required. For the future climate uncertainty analysis, Tule Lake, CA, was selected as a mean future climate analog site on the basis of the daily climate record available for that location and the characteristics of precipitation and air temperature observed for that record. The record characteristics included MAP, MAT, and the seasonal distribution of precipitation and temperature as it compared to the upper and lower bounds defined in USGS (2000b) and also to the developed mean for the future climate estimates in Sections 6.9.3 and 6.9.4. To develop a daily climate input file based on the Tule Lake, CA record, the software routine DAILY09 V1.0 was applied to the NCDC format file exported from the EARTHINFO data base following the procedure described in Section 6.9.3. For the modern climate uncertainty analysis, a set of realizations were obtained separately for the 4JA 100-year stochastic simulation climate input and the 1980-95 model calibration climate input, and the distributions were averaged to provide a measure of uncertainty consistent with the methods used to obtain the mean modern climate net infiltration result. CRWMS M&O (2000b) should be consulted for discussion of the results and interpretations of these uncertainty analyses. 6.11 RESULTS OF NET-INFILTRATION ESTIMATES Net infiltration modeling results for modern, monsoon and glacial transition climate scenarios can be located in data packages listed in Section 8.5. 6.11.1 Modern Climate Table 6-7 lists the simulation results for the three model simulations (YM1-4ex, 4JA1-4ex, A121-4ex) used to develop net-infiltration estimates for the modern climate scenarios. Also listed is the simulation result for the 10-year period (1980-1990) within the 4JA1-4ex stochastic simulation that was used to develop the lower bound modern climate scenario. The results include an average net-infiltration rate of 5.1 mm/year over the area of the modeling domain for the 1980-95 calibration period, with a maximum rate of 1,486 mm/year obtained for a stream channel in the northern part of the Yucca Wash watershed. The 100-year 4JA simulation provided an average net-infiltration rate of 2.2 mm/year over the model domain, and a maximum rate of 574.4 mm/year. The wetter A121-4ex 100-year simulation provided an average net- infiltration rate of 14.0 mm/year, with a maximum rate of 4,354 mm/year for a stream channel location in Yucca Wash. The results indicate a good correlation between the maximum infiltrated surface-water run-on rates and the maximum net-infiltration rates, indicating the importance of surface-water flow in causing relatively high but localized net-infiltration rates. Table 6-7. Summary of INFIL simulation results used to develop spatially distributed net-infiltration estimates for modern climate scenarios. (Attachment I) Estimation results for the lower bound, mean, and upper bound modern climate scenarios obtained using the simulations presented in Table 6-7 and the post-processing methods discussed in Section 6 are tabulated for the areas of the net-infiltration model (Table 6-8), the UZ flow and transport model (Table 6-9), and the potential repository (Table 6-10). For the net-infiltration model domain, results for the mean modern climate scenario include an average precipitation rate of 188.5 mm/year, an average outflow rate of 0.2 mm/year (corresponding to an average stream discharge rate of 0.03 ft3/second), and an average net-infiltration rate of 3.6 mm/year. In comparison, net infiltration is estimated to be 1.2 mm/year for the lower bound modern climate and 8.8 mm/year for the upper bound modern climate. Table 6-8. Estimation results for modern climate scenarios over the 123.7-km2 area of the infiltration model domain. (Attachment I) For the area of the UZ flow and transport model, results for the mean modern climate scenario include an average precipitation rate of 190.6 mm/year, an average outflow rate of -0.2 mm/year, and an average net-infiltration rate of 4.6 mm/year (Table 6-9). The negative outflow rate indicates that more surface water flows into the UZ flow and transport model area than flows out (primarily due to inflow from Yucca Wash). For the lower bound modern climate, net infiltration is estimated to be 1.3 mm/year for the UZ flow and transport model area; for the upper bound modern climate, net infiltration is estimated to be 11.1 mm/year. Table 6-9. Estimation results for modern climate scenarios over the 38.7-km2 area of the 1999 UZ flow and transport model domain. (Attachment I) For the area of the potential repository site, results for the mean modern climate scenario include an average precipitation rate of 196.9 mm/year, an average outflow rate of 1.4 mm/year, and an average net-infiltration rate of 4.7 mm/year (Table 6-10). For the lower bound modern climate, net infiltration is estimated to be 0.4 mm/year and outflow is estimated to be –0.3 mm/year. The negative outflow occurs because surface-water inflow from Drill Hole Wash exceeds outflow. For the upper bound modern climate, net infiltration is estimated to be 11.6 mm/year over the area of the potential repository. Table 6-10. Estimation results for modern climate scenarios over the 4.7-km2 area of the 1999 design potential repository area. (Attachment I) The spatial distribution of estimated precipitation for the mean modern climate scenario indicates minimum estimates of 140 to 160 mm/year occurring along the southern and southeastern parts of the modeling domain, with maximum estimates of more than 260 mm/year occurring for the summit areas along the northern perimeter of the modeling domain (Figure 6-23). Figure 6-23. Estimated precipitation (mm/year) for the mean modern climate scenario (DTN: GS000208311221.001). (Attachment II) Estimated evapotranspiration rates in general reflect the distribution of precipitation but also reflect local terrain and surface-water flow effects (Figure 6-24). Minimum evapotranspiration rates of 140 to 160 mm/year occur along the southern and southeastern sections of the model domain, and maximum rates of 220 to 240 mm/year occur for higher elevations receiving greater precipitation amounts. Minimum evapotranspiration rates of less than 100 mm/year occur for steep north-facing sideslopes and areas with minimal soil cover, the west-facing slope of Solitario Canyon, and the rugged terrain in the northern part of Yucca Wash. Maximum evapotranspiration rates of 240 mm/year and higher, on the other hand, are indicative of locations subject to a high volume or frequency of infiltrated surface-water run-on, particularly when immediately downslope from areas receiving higher precipitation as well as rugged terrain conducive to runoff generation, such as the northern part of Yucca Wash. Figure 6-24. Estimated evapotranspiration (mm/year) for the mean modern climate scenario. (Attachment II) Infiltrated surface-water run-on indicates the contribution of surface-water flow to potential net infiltration and evapotranspiration (Figure 6-25). Maximum infiltrated surface-water run-on rates of more than 100 mm/year occur mostly along the Yucca Wash channel but also at more isolated locations in the upper sections of drainages such as Drill Hole Wash, Solitario Canyon, Pagany Wash, and Abandoned Wash. In general, the higher infiltrated run-on rates occur in the upstream and headwater sections of drainages, possibly indicating a greater contribution from smaller but higher frequency runoff events for the mean modern climate scenario. Figure 6-25. Estimated surface-water run-on depth (mm/year) for the mean modern climate scenario. (Attachment II) The spatial distribution of estimated net-infiltration rates for the mean modern climate indicates most net infiltration occurs in upland areas with thin soils (Figure 6-26). The spatial distribution also indicates a strong control of bedrock hydraulic conductivity on spatial distributions and magnitudes (Figure 6-26), in addition to the effects of thin soils and surface-water run-on. Relatively high net-infiltration rates of 100 mm/year and higher occur throughout the steep north, north-east facing slope of the Prow due to a combination of higher precipitation rates, reduced potential evapotranspiration, frequent surface-water run-on due to very thin soils, and high bedrock hydraulic conductivity associated with non-welded tuffs. Areas of relatively high net- infiltration rates also include the upper channel locations of Solitario Canyon, Drill Hole Wash, Pagany Wash, and Abandoned Wash. Variability in net infiltration caused by topographic effects on potential evapotranspiration are illustrated by the higher net-infiltration rates for the north slopes of washes compared to south facing slopes (this is well illustrated by the west-to-east drainages along the east slope of Yucca Mountain and bisected by the ESF main drift). Maximum net-infiltration rates of more than 100 mm/year occur within the UZ flow and transport model domain for isolated areas that include side-slope and channel locations with thin soils and high hydraulic conductivity bedrock. The contribution to the total net-infiltration volume over the area of the UZ flow and transport model is dominated, however, by the lower rates of 1 to 20 mm/year covering wider areas of sideslope and ridgetop locations because of a much greater total area of coverage. Figure 6-26. Estimated net infiltration (mm/year) for the mean modern climate scenario. (Attachment II) For the lower bound modern climate scenario, the total area with significant net infiltration is greatly reduced (Figure 6-27). Within the potential repository area, most areas, including the crest, have no net infiltration. Areas with net-infiltration rates greater than 5 mm/year are isolated to north-facing sideslopes and along the west-facing slope of Solitario Canyon. For the upper bound modern climate scenario, net infiltration along the crest of Yucca Mountain is more than 20 mm/year, and the relative contribution of net infiltration along channels to the total net- infiltration volume is greatly increased compared to the mean modern climate estimates (Figure 6-28). The maximum net-infiltration rate of almost 2,700 mm/year occurs for an active channel location in the northern part of Yucca Wash. Within the potential repository area, maximum net- infiltration estimates of between 100 and 500 mm/year occur in Drill Hole Wash and along the west-facing slope of Solitario Canyon. Figure 6-27. Estimated net infiltration (mm/year) for the lower bound modern climate scenario. (Attachment II) Figure 6-28. Estimated net infiltration (mm/year) for the upper bound modern climate scenario. (Attachment II) In general, the maximum net-infiltration estimates for the three climate scenarios are more than two orders of magnitude higher than the spatially averaged net-infiltration rates for the three areas analyzed, indicating a high degree of spatial variability for the estimation results. In all cases, maximum net-infiltration rates occur at locations affected by surface-water run-on, and there is a strong correlation between the maximum infiltrated run-on rates with maximum net- infiltration rates for all areas and for all climate scenarios. However, because the areas with relatively high net-infiltration rates (greater than 100 mm/year) are small, most of the total net- infiltration volume occurs from upland areas with net-infiltration rates less than 20 mm/year. 6.11.2 Monsoon Climate The lower bound monsoon climate scenario is defined using the mean modern day climate result (the lower bound monsoon climate result is equal to the modern day climate result). The simulation results used to develop the mean modern climate scenario are equivalent to the lower bound monsoon climate scenario. Net-infiltration estimates for the mean modern climate scenario were calculated using the net-infiltration simulation results for the 1980–95 model calibration period and results obtained using a 100-year stochastic simulation of daily precipitation modeled with the NTS station 4JA precipitation record. The simulation results for the two analog upper bound monsoon climate simulations (Nogales, Arizona and Hobbs, New Mexico) used to develop net-infiltration estimates for the mean and upper bound monsoon climate scenarios are provided in Table 6-11. The results indicate an average net-infiltration rate of 15.1 mm/year for the Nogales analog climate record and 12.1 mm/year for the Hobbs analog climate record, with maximum net-infiltration rates of 2,900 mm/year and 2,330 mm/year, respectively. As in the case of the modern climate simulations, the maximum net-infiltration rates occur in the active channel of Yucca Wash. Table 6-11. Summary of INFIL simulation results used to develop spatially distributed net-infiltration estimates for the upper bound monsoon climate scenarios. (Attachment I) Estimation results for the lower bound, mean, and upper bound monsoon climate scenarios are tabulated for the areas of the net-infiltration model (Table 6-12), the UZ flow and transport model (Table 6-13), and the potential repository (Table 6-14). The results for the mean monsoon climate scenario, which were calculated as the arithmetic mean of the lower bound and upper bound monsoon climate scenarios, include an average precipitation rate of 300.5 mm/year, an average outflow rate of 5.1 mm/year, and an average net-infiltration rate of 8.6 mm/year over the net-infiltration model domain. Results for the upper bound monsoon climate scenario, which were calculated as the arithmetic mean of net infiltration simulations for two analog sites (Nogales, AZ and Hobbs, NM) include an average precipitation rate of 412.5 mm/year, an average outflow rate of 10.0 mm/year, and an average net-infiltration rate of 13.6 mm/year over the net-infiltration model domain. Table 6-12. Estimation results for the monsoon climate scenarios over the 123.7-km2 area of the infiltration model domain. (Attachment I) For the UZ flow and transport model area, results for the mean monsoon climate scenario include an average precipitation rate of 302.7 mm/year, an average outflow rate of 4.6 mm/year, and an average net-infiltration rate of 12.2 mm/year (Table 6-13). The maximum net-infiltration rate is 629 mm/year. For the lower bound monsoon climate scenario, average net infiltration is 4.6 mm/year for the UZ flow and transport model area (the mean modern climate result). Estimation results for the upper bound monsoon climate scenario include a precipitation rate of 414.8 mm/year, a snowfall rate of 6.8 mm/year, an average outflow rate of 9.5 mm/year, and a net- infiltration rate of 19.8 mm/year. The maximum net-infiltration rate for the upper bound monsoon climate scenario is 1,016.2 mm/year for the UZ flow and transport model area. Table 6-13. Estimation results for the monsoon climate scenarios over the 38.7-km2 area of the UZ flow and transport model domain. (Attachment I) For the area of the potential repository site, results for the mean monsoon climate scenario include an average precipitation rate of 309.3 mm/year, an average outflow rate of 13.2 mm/year, and an average net-infiltration rate of 12.5 mm/year (Table 6-14). For the upper bound modern climate scenario, precipitation is estimated to be 421.6 mm/year, outflow is estimated to be 25.1 mm/year, and net infiltration is estimated to be 20.3 mm/year over the area of the potential repository. Table 6-14. Estimation results for the monsoon climate scenarios over the 4.7-km2 area of the 1999 design potential repository area. (Attachment I) Figure 6-29 shows the spatial distribution of net-infiltration estimates for the mean monsoon climate scenario. Estimated net-infiltration rates along the crest of Yucca Mountain are in the range of 20 to 50 mm/year. Within the potential repository area, maximum net-infiltration rates of between 100 and 500 mm/year occur in the active channel of Drill Hole Wash and for outcrop locations of permeable, nonwelded tuffs in the middle section of the west-facing slope of Solitario Canyon. Relatively high net-infiltration rates of 100 to 500 mm/year also occur at many steep side-slope locations in the northern part of the UZ flow and transport model area. In contrast, net infiltration at upland locations with thin soils underlain by bedrock with low bulk hydraulic conductivity is less than 1 mm/year. Figure 6-29. Estimated net infiltration (mm/year) for the mean monsoon climate scenario. (Attachment II) The map of net-infiltration estimates for the upper bound monsoon climate scenario indicates a greater percentage of area affected by the relatively high net-infiltration rates of 100 to 500 mm/year, along with an increase in the moderately high net-infiltration rates along the crest of Yucca Mountain (Figure 6-30). In absolute terms, the increase in net infiltration for locations with bedrock having a high bulk hydraulic conductivity is much greater than the increase for locations with bedrock with a low bulk hydraulic conductivity, which remains less than 1 mm/year. The infiltrated run-on map indicates the importance of surface-water flow on net infiltration for the upper bound monsoon climate (Figure 6-31). Relatively high run-on infiltration rates of 100 to 500 mm/year occur throughout the active channels of Drill Hole Wash, Pagany Wash, Solitario Canyon, Dune Wash, and Yucca Wash. Figure 6-30. Estimated net infiltration (mm/year) for the upper bound monsoon climate scenario. (Attachment II) Figure 6-31. Infiltrated surface-water run-on depth (mm/year) for the upper bound monsoon climate scenario. (Attachment II) 6.11.3 Glacial Transition Climate Table 6-15 lists the simulation results for the two analog lower bound glacial transition climate simulations (Beowawe, Nevada and Delta, Utah) used to develop net-infiltration estimates for the lower bound and mean glacial transition climate scenarios. The results for the 32-year Beowawe simulation include a mean air temperature of 9.6 degrees Celsius, a precipitation rate of 208.4 mm/year, and a snowfall depth (water equivalent) of 30.7 mm/year. Net-infiltration estimation results for the Beowawe simulation include an average rate of 2.9 mm/year. The results for the 45-year Delta simulation include a mean air temperature of 10.8 degrees Celsius, a precipitation rate of 193.7 mm/year, and a snowfall depth (water equivalent) of 27.6 mm/year. Net-infiltration estimation results for the Delta simulation include an average rate of 1.4 mm/year. Table 6-15. INFIL simulation results used to develop spatially distributed net-infiltration estimates for the lower bound glacial transition climate scenario. (Attachment I) Table 6-16 lists the simulation results for the three analog upper bound glacial transition climate simulations (Rosalia, Washington; Spokane, Washington; and St. John, Washington) used to develop net-infiltration estimates for the upper and mean glacial transition climate scenarios. The results for the 44-year Rosalia simulation include a mean air temperature of 9.0 degrees Celsius, a precipitation rate of 454.9 mm/year, and a snowfall depth (water equivalent) of 67.5 mm/year. The results for the 50-year Spokane simulation include a mean air temperature of 9.2 degrees Celsius, a precipitation rate of 406.2 mm/year, and a snowfall depth (water equivalent) of 74.3 mm/year. For the 31-year St. John simulation, results include 9.9 degrees Celsius for mean air temperature, 432.1 mm/year for precipitation, and 44 mm/year for snowfall. Average net- infiltration rates for the three simulations are 29.7 mm/year for Rosalia, 21.2 mm/year for Spokane, and 23.0 mm/year for St. John. Maximum average annual net-infiltration rates are 9,126.2 mm/year for Rosalia, 7,033.7 mm/year for Spokane, and 6,308.1 mm/year for St. John. Table 6-16. INFIL simulation results used to develop spatially distributed net-infiltration estimates for the upper bound glacial transition climate scenario. (Attachment I) Estimation results for the lower bound, mean, and upper bound glacial transition climate scenarios obtained using the simulations presented in Tables 6-15 and 6-16 are tabulated for the areas of the net-infiltration model (Table 6-17), the UZ flow and transport model (Table 6-18), and the potential repository (Table 6-19). The results for the mean glacial transition climate scenario, which were calculated as the arithmetic mean of the results for the lower and upper bound glacial transition scenarios, include an average precipitation rate of 316.1 mm/year, an average snowfall depth of 45.5 mm/year, an average infiltrated surface-water run-on depth of 14.6 mm/ year, an average outflow rate of 1.5 mm/year, and an average net-infiltration rate of 13.4 mm/year for the net-infiltration model domain. In comparison, net infiltration is estimatedto be 2.2 mm/year for the lower bound glacial transition scenario and 24.6 mm/year for the upper bound glacial transition scenario. Table 6-17. Estimation results for the glacial transition climate scenarios over the 123.7- km2 area of the infiltration model domain. (Attachment I) For the area of the UZ flow and transport model, results for the mean glacial transition climate scenario include an average precipitation rate of 317.8 mm/year, an average annual infiltrated surface-water run-on depth of 15.6 mm/year, an average outflow rate of -0.2 mm/year, and an average net-infiltration rate of 17.8 mm/year (Table 6-18). For the lower bound glacial transition scenario, net infiltration is estimated to be 2.5 mm/year for the UZ flow and transport model area, while for the upper bound glacial transition scenario, net infiltration is estimated to be 33.0 mm/year. For the area of the potential repository site (Table 6-19), results for the mean glacial transition climate scenario include an average precipitation rate of 323.1 mm/year, an average annual infiltrated surface-water run-on depth of 12.0 mm/year, an average outflow rate of 8.0 mm/year, and an average net-infiltration rate of 19.8 mm/year. For the lower bound glacial transition scenario, net infiltration is estimated to be 2.2 mm/year and outflow is estimated to be 0.3 mm/year. For the upper bound glacial transition scenario, net infiltration is estimated to be 37.3 mm/year over the UZ flow and transport model area and outflow is estimated to be 15.6mm/year. Table 6-18. Estimation results for the glacial transition climate scenarios over the 38.7- km2 area of the UZ flow and transport model domain. (Attachment I) Table 6-19. Estimation results for the glacial transition climate scenarios for the 4.7-km2 area of the 1999 design potential repository area. (Attachment I) The spatial distribution of estimated precipitation for the mean glacial transition climate scenario indicates the reduced precipitation-elevation correlation specified in the model (relative to the modern climate correlation), with a minimum precipitation rate of approximately 280 mm/year and a maximum rate of almost 400 mm/year (Figure 6-32). The spatial distribution of snowfall depth indicates a stronger correlation with elevation because of the combined effects of the precipitation-elevation and the air temperature-elevation correlations (Figure 6-33). The minimum water-equivalent snowfall depth is less than 20 mm/year in the southern part of the modeling domain, and the maximum snowfall depth is more than 140 mm/year. Figure 6-32. Precipitation (mm/year) for the mean glacial transition climate scenario. (Attachment II) Figure 6-33. W ater-equivalent snowfall depth (mm/year) for the mean glacial transition climate scenario. (Attachment II) The spatial distribution of estimated evapotranspiration for the mean glacial transition scenario indicates, in the context of the model, the importance of precipitation, root-zone water-storage capacity, and infiltrated surface-water run-on in affecting the availability of water for evapotranspiration (Figure 6-34). Minimum evapotranspiration rates are less than 100 mm/year on steep sideslopes with thin soil cover (Table 6-17), while maximum rates are close to 600 mm/year in active channel locations. Figure 6-34. Evapotranspiration (mm/year) for the mean glacial transition climate scenario. (Attachment II) Estimated infiltrated surface-water run-on rates exceed 100 mm/year throughout most of the upper channel locations, including Pagany Wash, Drill Hole Wash, Solitario Canyon, and sections of all washes draining the eastern slopes of Yucca Mountain (Figure 6-35). Within the net-infiltration model area, maximum infiltrated surface-water run-on rates of more than 3,000 mm/year occur along isolated sections of Yucca Wash (Table 6-17). The net-infiltration map for the mean glacial transition climate scenario indicates rates of 20 to 50 mm/year along the crest of Yucca Mountain, with isolated locations exceeding 50 mm/year along the crest (Figure 6-36). Within the potential repository area, a maximum net-infiltration rate exceeding 500 mm/year occurs in the channel of Drill Hole Wash. Figure 6-35. Estimated infiltrated surface-water run-on (mm/year) for the mean glacial transition climate scenario. (Attachment II) Figure 6-36. Estimated net infiltration (mm/year) for the mean glacial transition climate scenario. (Attachment II) In comparison to net-infiltration estimates for the mean glacial transition climate scenario, net- infiltration rates for the lower bound glacial transition climate scenario are greatly reduced due to a more uniform seasonal distribution of precipitation characterized by a lack of severe storms or wetter than normal periods as compared to the upper bound glacial transition climate scenarios. The average intensity and frequency of precipitation events for the lower bound glacial transition climates is not sufficient to overcome evapotranspiration from the root zone. Maximum net- infiltration rates of 100 to 500 mm/year were obtained on the northeastern-facing slope of the Prow, along isolated sections of the west-facing slope of Solitario Canyon, and along isolated sections of upper Yucca Wash (Figure 6-37). Within the potential repository area, net infiltration does not occur in the channel of Drill Hole Wash and net infiltration along the crest of Yucca Mountain is only 1 to 5 mm/year. The map of infiltrated surface-water run-on for the lower bound glacial transition climate scenario indicates significantly less infiltration along channels than the other climate scenarios (Figure 6-38). Within the UZ flow and transport model area, maximum infiltrated surface-water run-on rates of more than 100 mm/year do not occur in channels but instead are limited to lower sideslopes. Figure 6-37. Estimated net infiltration (mm/year) for the lower bound glacial transition climate scenario. (Attachment II) Figure 6-38. Estimated infiltrated surface-water run-on depth (mm/year) for the lower bound glacial transition climate scenario. (Attachment II) The map of estimated net infiltration for the upper bound glacial transition climate scenario indicates relatively high net-infiltration rates of 50 to 100 mm/year throughout the crest area of Yucca Mountain, and relatively high rates of 100 to 500 mm/year for most steep side-slope locations in the northern part of the UZ flow and transport model domain (Figure 6-39). Maximum rates of more than 1,000 mm/year are common throughout the lower portions of the Yucca Wash channel. Within the potential repository area, maximum rates between 500 and 1,000 mm/year occur for isolated sections of the Drill Hole Wash channel. The map of estimated infiltrated surface-water run-on indicates a maximum run-on infiltration rate of between 500 and 1,000 mm/year for an isolated section of Drill Hole Wash within the potential repository area (Figure 6-40). In general, the maximum net-infiltration rates occur at locations where the infiltrated run-on rates are high. Figure 6-39. Estimated net infiltration (mm/year) for the upper bound glacial transition climate scenario. (Attachment II) Figure 6-40. Estimated infiltrated surface-water run-on depth (mm/year) for the upper bound glacial transition climate scenario (DTN: GS000308311221.005). (Attachment II) 6.12 MODEL VALIDATION AND COMPARISON WITH ALTERNATIVE ESTIMATES OF NET INFILTRATION Confidence in models representing natural systems with processes, such as net infiltration and recharge in arid environments, that cannot be directly measured can be developed by comparing model results with alternative and independent methods to estimate those processes. In particular, the comparison of the results from the net-infiltration model for the Yucca Mountain site area with various other methods of estimating net infiltration in the Yucca Mountain region provides confidence that the net-infiltration model is appropriate for its intended use in providing the upper boundary condition for the site-scale 3-dimensional UZ flow and transport model. Net infiltration and recharge have been estimated for the areas within the Death Valley region using methods appropriate for arid environments, such as water-balance techniques (e.g., basinwide estimates of discharge or numerical models accounting for all significant components of the water balance), soil-physics techniques, geochemistry, and transfer equations based on other variables (such as precipitation). The net infiltration model INFIL V2.0 is a water-balance technique that can be compared to techniques using geochemistry and transfer functions. Transfer functions relating recharge to precipitation have been widely used in the Death Valley region. Maxey and Eakin (1950) developed a method of estimating recharge to ground-water basins in Nevada, providing a baseline for the spatial distribution of recharge. This method uses average annual precipitation to classify areas of a basin into five recharge zones. Each zone uses a different percentage of average annual precipitation becoming recharge: zero percent recharge for less than 203 mm/yr average annual precipitation, 3 percent for 203 to 304 mm/yr, 7 percent for 305 to 380 mm/yr, 15 percent for 381 to 507 mm/yr, and 25 percent for 508 mm/yr or greater. Net-infiltration and recharge estimates for basins in Nevada also have been obtained using chloride mass balance calculations. This method equates chloride in recharge water and runoff to chloride deposited in source areas by precipitation and dry fallout. Lichty and McKinley (1995) provided an analysis of recharge for two basins in central Nevada using a 6-yr measurement period and two independent modeling approaches: water balance and chloride mass balance. Their results yielded recharge rates of 10 to 30 mm/yr for a drainage basin with an average annual precipitation of 270 mm, and 300 to 320 mm/yr for a drainage basin with an average annual precipitation of 640 mm. They determined that the chloride mass balance method was more viable for their study. Net-infiltration estimates obtained for the nine climate scenarios over the net-infiltration model area, the UZ flow and transport model area, and the potential repository area were plotted against the corresponding average annual precipitation rates and compared with recharge and net- infiltration estimates obtained using the independent methods of Maxey and Eakin (1950, pp. 4041) and Lichty and McKinley (1995, Table 15) (Figure 6-41). The qualitative comparison with the independent methods is based on the estimated average precipitation rate corresponding to a given recharge or net-infiltration estimate. An assumption is made that the spatially averaged net-infiltration estimates are approximately equivalent to recharge at Yucca Mountain for a given climate scenario (transient effects are ignored). The net infiltration estimates were also compared against estimates of average recharge rates obtained using the chloride mass balance method for saturated zone boreholes at Yucca Mountain (CRWMS M&O, 2000c) (Figure 6-41). The recharge estimates were obtained using measurements of chloride concentrations from saturated-zone boreholes, and are based on an estimated long-term average annual precipitation rate of 170 mm/year (Hevesi et al., 1992), along with an estimated range of chloride concentrations in precipitation at Yucca Mountain of 0.3 to 0.6 mg/L (CRWMS M&O, 2000c). This results in an average recharge estimate ranging from 7 to 14 mm/year for the saturated zone underlying Yucca Mountain (CRWMS M&O, 2000d), and corresponds to an average Holocene precipitation rate of 170 mm/year at Yucca Mountain. The recharge estimates are higher than the spatially averaged mean modern climate net infiltration rate, but are in good general agreement with the upper bound modern climate, the mean monsoon climate, and the mean glacial transition climate net infiltration rates. The apparent discrepancy between the Holocene recharge estimates and the mean modern climate net infiltration estimate may be attributed to the saturated zone geochemistry being indicative of recharge from various different sources, including the higher recharge zones which are likely to exist to the north of Yucca Mountain (Pahute Mesa and Timber Mountain). In addition, the saturated zone geochemistry is representative of a longer-term Holocene climate period, and is likely to be indicative of recharge rates during wetter cycles within the Holocene. In comparison to chloride mass balance recharge estimates obtained for the saturated zone, chloride mass balance estimates from pore-water samples in the unsaturated zone indicate lower recharge rates, with an average rate of approximately 5 mm/year for Yucca Mountain (CRWMS M&O, 2000c). In general, the average unsaturated-zone chloride mass balance recharge estimate is consistent with the spatially averaged mean modern climate net infiltration estimate for Yucca Mountain, whereas the average saturated-zone chloride mass balance recharge estimate is more consistent with the longer-term mean monsoon and mean glacial transition climate net infiltration estimate. Figure 6-41. Comparison of INFIL V2.0 simulated average net-infiltration rates (DTN: GS000308311221.005) at Y ucca Mountain (upper bound, lower bound, and mean for three climates) with an estimate of the average Holocene recharge rate for the saturated zone at Yucca Mountain [CRWM S M&O, 2000c] and with estimates of recharge in the southern Great Basin obtained using alternative methods (Maxey and Eakin, 1950; Lichty and McKinley, 1995; Winograd, 1981). (Attachment II) The graph of net infiltration and recharge versus precipitation indicates that the net-infiltration estimates for all lower and mean climate scenarios are in general agreement with independent recharge estimates for precipitation rates of less than approximately 350 mm/year. The net- infiltration estimates for the upper bound glacial transition and monsoon climates are low relative to the Maxey-Eakin recharge estimates obtained for precipitation rates of 400-450 mm/year. The higher Maxey-Eakin estimates are 15 percent of average annual precipitation, while the net-infiltration estimates are only 5-10 percent of average annual precipitation. For precipitation rates greater than 500 mm/year, Maxey-Eakin estimates are 25 percent of average annual precipitation. In the Maxey-Eakin method, the higher precipitation rates correspond to higher elevation basins in the central and southern Nevada region (Maxey and Eakin, 1950). Recharge estimates of approximately 300 mm/year obtained by Lichty and McKinley (1995) for a small, relatively high-elevation basin receiving approximately 600 mm/year precipitation (mostly as snow) indicate that recharge (and thus net infiltration) may be as high as 50 percent of precipitation at some locations in the Great Basin. These methods have also been applied on a larger scale in the Great Basin and can also be compared to the INFIL results for net infiltration. The Maxey-Eakin method was applied to 167 basins in the Great Basin to estimate recharge for locations of MAP in excess of 8 in (203 mm/yr) (Harrill and Prudic, 1998) (Figure 6-42). The chloride mass balance method was used by Dettinger (1989) who applied it to 16 basins in Nevada; the estimates were close to those that they obtained using the Maxey-Eakin method and water-balance calculations. Values of recharge estimated for Dettinger’s 16 basins, as well as the two points determined by Lichty and McKinley (1995) that are presented on Figure 6-41 are included on Figure 6-42. The net infiltration for selected modeling domains (see Figure 6-12) and calibration watersheds (see Figure 6-19) at Yucca Mountain is shown on Figure 6-42. This figure shows recharge, or net infiltration, as a volume calculated per basin area as a function of average annual precipitation volume. The generally good agreement among the various methods for estimating net infiltration indicated by Figures 6-41 and 6-42, including the results from the net-infiltration model, supports the conclusion that the net-infiltration model is appropriate for estimating the spatial distribution of net infiltration within the Yucca Mountain site area. Figure 6-42. Comparison of various methods to estimate recharge in the Death Valley region and Y ucca Mountain with model results from INFIL V2.0 (DTN: GS000308311221.005), as a function of average annual precipitation. (Attachment II) The empirical data with which the model results are compared in Figures 6-41 and 6-42 consist of a mixture of qualified and unqualified data. Because of the overall mutual consistency of these data and their general accordance with the net infiltration model results, the use of the unqualified data is appropriate for establishing confidence in the model and does not impact the validity of the model for its intended use. 7.7.CONCLUSIONS CONCLUSIONS This AMR describes enhancements made to the infiltration model documented in Flint et al. (1996) and documents an analysis using the model to generate spatial and temporal distributions over a model domain encompassing the Yucca Mountain site, Nevada. Net infiltration is the component of infiltrated precipitation, snowmelt, or surface water run-on that has percolated below the zone of evapotranspiration as defined by the depth of the effective root zone, the average depth below the ground surface (at a given location) from which water is removed by evapotranspiration. The estimates of net infiltration are used for defining the upper boundary condition for the site-scale 3-dimensional UZ flow and transport model and the Total System Performance Assessment model. Estimates of net infiltration are provided as raster-based, 2dimensional grids of spatially distributed, time-averaged rates for three different climate stages estimated as likely conditions for the next 10,000 years beyond the present. Each climate stage is represented using a lower bound, a mean, and an upper bound climate and corresponding net- infiltration scenario for representing uncertainty in the characterization of daily climate conditions for each climate stage, as well as potential climate variability within each climate stage. The set of nine raster grid maps provide spatially detailed representations of the magnitude and distribution of net-infiltration rates that are used to define specified flux upper boundary conditions for the UZ flow and transport models. All source data, references, models, routines and procedures are described, noted or referenced in this AMR for complete tracking of all analyses. All assumption used to obtain estimates of net infiltration are described. This analysis consists of (1) modifications to the 1996 model code INFIL V1.0 (Flint et al., 1996), (2) an updating of input parameters defining the new model INFIL V2.0 , (3) calibration of the new model using stream flow records, (4) the development of daily climate input representative of potential future climate stages, and (5) application of the model to provide net-infiltration estimates for a lower, mean, and upper bound climate scenario within each potential future climate stage. Developed output data are listed by Data Tracking Number (DTN) in Table 7-1. Table 7-1. Output Data Sets Generated in the Development and Application of the Net Infiltration Model (Attachment I) 7.1 SUMMARY OF RESULTS The net infiltration simulation results for the 1980-95 calibration period include an average net- infiltration rate of 5.1 mm/year over the area of the net infiltration model domain, with a maximum rate of 1,486 mm/year obtained for a stream channel location in the northern part of the Yucca Wash watershed. The 4JA current-climate 100-year simulation provided an average net-infiltration rate of 2.2 mm/year over the net infiltration model domain, and a maximum rate of 574.4 mm/year. The wetter Area 12 Mesa 100-year simulation provided an average net- infiltration rate of 14.0 mm/year over the net infiltration model domain, with a maximum rate of 4,354 mm/year for a stream channel location in Yucca Wash. The results indicate a good correlation between the maximum infiltrated surface-water run-on rates and the maximum net- infiltration rates, indicating the importance of surface-water flow in causing relatively high but localized net-infiltration rates. The three separate net infiltration simulation results were integrated to provide spatially distributed net infiltration estimates for the lower bound, mean, and upper bound modern climate scenarios. Results for the mean modern climate scenario include an average precipitation rate of 188.5 mm/year, an average outflow rate of 0.2 mm/year (corresponding to an average stream discharge rate of 0.03 ft3/second), and an average net-infiltration rate of 3.6 mm/year for the area of the net infiltration model domain. In comparison, net infiltration is estimated to be 1.2 mm/year for the lower bound modern climate and 8.8 mm/year for the upper bound modern climate over the area of the net infiltration model domain. The spatial distribution of estimated precipitation for the mean modern climate scenario indicates minimum estimates of 140 to 160 mm/year occurring along the southern and southeastern parts of the modeling domain, with maximum estimates of more than 260 mm/year occurring for the summit areas along the northern perimeter of the modeling domain. The spatial distribution of estimated net-infiltration rates for the mean modern climate indicates most net infiltration occurs in upland areas with thin soils. The spatial distribution also indicates a strong control by bedrock hydraulic conductivity on spatial distributions and magnitudes, in addition to the effects of thin soils and surface-water run-on. Variability in net infiltration caused by topographic effects on potential evapotranspiration are illustrated by the higher net-infiltration rates for the north-facing slopes of washes compared to south-facing slopes. Maximum net-infiltration rates of more than 100 mm/year occur within the UZ flow and transport model domain for isolated areas that include side-slope and channel locations with thin soils and high hydraulic conductivity bedrock. The contribution to the total net-infiltration volume over the area of the UZ flow and transport model is dominated, however, by the lower rates of one to 20 mm/year covering wider areas of sideslope and ridgetop locations because of a much greater total area of coverage. In general, the maximum net-infiltration estimates for the three climate scenarios are more than two orders of magnitude higher than the spatially averaged net-infiltration rates for the three areas analyzed, indicating a high degree of spatial variability for the estimation results. In all cases, maximum net-infiltration rates occur at locations affected by surface-water run-on, and there is a strong correlation between the maximum infiltrated run-on rates with maximum net- infiltration rates for all areas and for all climate scenarios. However, because the areas with relatively high net-infiltration rates (greater than 100 mm/year) are small, most of the total net- infiltration volume occurs from upland areas with net-infiltration rates less than 20 mm/year. The results for the mean monsoon climate scenario include an average precipitation rate of 300.5 mm/year, an average outflow rate of 5.1 mm/year, and an average net-infiltration rate of 8.6 mm/year over the net-infiltration model domain. Estimated net-infiltration rates along the crest of Yucca Mountain are in the range of 20 to 50 mm/year. Within the potential repository area, maximum net-infiltration rates of between 100 and 500 mm/year occur in the active channel of Drill Hole Wash and for outcrop locations of permeable, nonwelded tuffs in the middle section of the west-facing slope of Solitario Canyon. Relatively high net-infiltration rates of 100 to 500 mm/year also occur at many steep side-slope locations in the northern part of the UZ flow and transport model area. In contrast, net infiltration at upland locations with thin soils underlain by bedrock with low bulk hydraulic conductivity is less than 1 mm/year. The results for the mean glacial transition climate scenario, which were calculated as the arithmetic mean of the results for the lower and upper bound glacial transition scenarios, include an average precipitation rate of 316.1 mm/year, an average snowfall depth of 45.5 mm/year, an average infiltrated surface-water run-on depth of 14.6 mm/ year, an average outflow rate of 1.5 mm/year, and an average net-infiltration rate of 13.4 mm/year for the net-infiltration model domain. In comparison, net infiltration is estimated to be 2.2 mm/year for the lower bound glacial transition scenario and 24.6 mm/year for the upper bound glacial transition scenario. The spatial distribution of estimated precipitation for the mean glacial transition climate scenario indicates the reduced precipitation-elevation correlation specified in the model (relative to the modern climate correlation), with a minimum precipitation rate of approximately 280 mm/year and a maximum rate of almost 400 mm/year. Net-infiltration estimates for all lower and mean climate scenarios are in general agreement with independent recharge estimates for precipitation rates of less than approximately 350 mm/year. The net-infiltration estimates for the upper bound glacial transition and monsoon climates are low relative to the Maxey-Eakin recharge estimates (Maxey and Eakin, 1950) obtained for precipitation rates of 400- 450 mm/year. Although the paleoclimates are not identical to the estimated monsoon and glacial transition future climates, results from the geochemistry analysis suggest that net-infiltration rates at Yucca Mountain are likely to be lower than the Maxey-Eakin recharge estimates for the higher elevation modern analogs corresponding to the estimated average annual precipitation rates for the upper bound monsoon and glacial transition future climates. Using the estimated duration of the modern and future climate stages, the weighted average simulated net infiltration rate for the next 10,000 years is 18 mm/year over the potential repository area and 16.4 mm/year over the area of the UZ flow and transport model. These results indicate that the simulated net infiltration rates are consistent with results obtained from chloride geochemistry analysis. 7.2 LIMITATIONS AND UNCERTAINTIES Analysis of model sensitivity to uncertainty in input parameters and the impact of parameter accuracy on model results was not complete at the time of this analysis. Uncertainty in the precipitation and air-temperature characteristics of the estimated future climate stages were represented using lower and upper bound scenarios within each stage. Although a uniform distribution between the lower and upper bound monsoon and glacial transition climate scenarios was assumed at the time of this analysis for the development of the mean monsoon and glacial transition climate scenarios, the distribution of precipitation and air temperature characteristics between the upper and lower bound climate scenarios is not known. In addition to assumptions used in defining the daily climate input for the nine climate scenarios, an important source of uncertainty in the net-infiltration estimates for all climate scenarios is the assumptions used in defining root-zone model coefficients. Other sources of model uncertainty include input parameters such as bedrock hydraulic conductivity, soil depth, and soil hydrologic properties. A primary limitation of the model is that it cannot be used to extrapolate beyond the 10,000 years that was used for estimates of climate scenarios using analog sites. A rigorous sensitivity analysis for net infiltration was addressed by CRWMS M&O (2000b) using 100 realizations (vectors) of a selected set of 12 uncertain input parameters for the glacial transition climate stage considered in TSPA. The analysis resulted in a distribution of spatially averaged infiltration rates for the glacial transition climate stage over a rectangular region closely approximating what is referred to as the loaded repository footprint. A sensitivity analysis was performed using the results of the glacial transition climate to examine the importance of the sampled (uncertain) input parameters used for the uncertainty analysis. A histogram of average annual infiltration for the glacial transition climate scenario is shown in Figure 6-5 of CRWMS M&O (2000b). The four input parameters that were found to have significant effects on the infiltration rate uncertainty are soil depth, precipitation, potential evapotranspiration and bulk bedrock saturated hydraulic conductivity. These results and levels of uncertainty are consistent with the conceptual model of net infiltration presented in this AMR. The results from the 100 realizations include a mean net infiltration rate of 25.5 mm/year, a median value of 20.6 mm/year, and a standard deviation of 19.2 mm/year (CRWMS M&O, 2000b). These results are consistent with the results presented in Table 6-19 for estimated net infiltration rates over the area of the potential repository. The coefficient of variation for the results obtained from the uncertainty analysis is much higher than the apparent coefficient of variation implied by the results obtained for the upper and lower bound climate scenarios. However, this is not an inconsistency because the net infiltration estimates presented in this AMR are only intended to be representative of uncertainty and variability in terms of climate input and to a lesser degree vegetation characteristics. The upper and lower bound net infiltration estimates are not necessarily representative of additional sources of model uncertainty, such as uncertainty in soil and bedrock properties. The nearly lognormal output distribution obtained in the uncertainty analysis indicates a potential inconsistency with the uniform distributions assumed in this AMR for developing the results for the mean monsoon and glacial transition climate scenarios. As discussed in Section 6, the assumption of uniform distributions was preliminary because the results from the uncertainty analysis were not available at the time that the net infiltration estimates were required for the TSPA schedule. For the uncertainty analysis, the logarithms of the net infiltration rates were used to calculate appropriate weighting coefficients that will be applied to the net infiltration maps for the three climate scenarios in each climate stage of the RIP simulations for TSPA. The weighting factors were determined to be 0.17, 0.48, and 0.35 for the lower bound, mean, and upper bound climate scenarios in each climate stage (CRWMS M&O, 2000b). This result will cause an upward shift in mean net infiltration rates for the RIP simulations relative to the results presented in this AMR. This is considered only an apparent inconsistency because the nine developed net infiltration estimates were not originally intended to be representative of the additional sources of model uncertainty. A general conclusion that can be made is that the additional sources of model uncertainty, in particular soil and bedrock properties, tend to increase rather than decrease net infiltration estimates. A more rigorous and physically based model of wind and terrain effects on snow redistribution and the snow pack energy balance was beyond the scope of this analysis. It can be assumed based on the sources of model uncertainty described above and throughout the AMR document that the results presented in this AMR cannot be interpreted as being exact but instead should be interpreted as a single realization of an output distribution that has not yet been fully quantified. It can also be assumed based on knowledge of the sources of model uncertainty that the output distribution obtained from multiple stochastic realizations would define a relatively wide output distribution. Thus, potential users of the results presented in this AMR need to be fully aware that the level of uncertainty associated with these results is relatively high and this must be considered in any application of these results. 7.3 RESTRICTIONS FOR SUBSEQUENT USE There are no known restrictions for subsequent use. 8.8.INPUTS AND REFEREINPUTS AND REFERENCES NCES 8.1 DOCUMENTS CITED Altman, S.J.; Arnold, B.W.; Barnard, R.W.; Barr, G.E.; Ho, C.K.; McKenna, S.A.; and Eaton, R.R. 1996. Flow Calculations for Yucca Mountain Groundwater Travel Time (GWTT-95). SAND96-0819. Albuquerque, New Mexico: Sandia National Laboratories. ACC: MOL.19961209.0152. Buesch, D.C.; Spengler, R.W.; Moyer, T.C.; and Geslin, J.K. 1996. Proposed Stratigraphic Nomenclature and Macroscopic Identification of Lithostratigraphic Units of the Paintbrush Group Exposed at Yucca Mountain, Nevada. Open-File Report 94-469. Denver, Colorado: U.S. Geological Survey. ACC: MOL.19970205.0061. BSC (Bechtel SAIC Company) 2001a. Technical Work Plan for Unsaturated Zone (UZ) Flow and Transport Process Model Report. TWP-NBS-HS-000001 REV 01. Las Vegas, Nevada: Bechtel SAIC Company. ACC: MOL.20010404.0007. BSC 2001b. Technical Work Plan for: Integrated Management of Technical Product Input Department. TWP-MGR-MD-000004 REV 02. Las Vegas, Nevada: Bechtel SAIC Company. ACC: MOL.20010814.0324. Campbell, G.S. 1977. An Introduction to Environmental Biophysics. New York, New York: Springer-Verlag. TIC: 238256. Campbell, G.S. 1985. Soil Physics with BASIC Transport Models for Soil-Plant Systems. Developments in Soil Science 14. Amsterdam, The Netherlands: Elsevier Science B.V. TIC: 214477. CRWMS M&O 1998. "Unsaturated Zone Hydrology Model." Chapter 2 of Total System Performance Assessment-Viability Assessment (TSPA-VA) Analyses Technical Basis Document. B00000000-01717-4301-00002 REV 01. Las Vegas, Nevada: CRWMS M&O. ACC: MOL.19981008.0002. CRWMS M&O 2000a. Unsaturated Zone Flow and Transport Model Process Model Report. TDR-NBS-HS-000002 REV 00. Las Vegas, Nevada: CRWMS M&O. ACC: MOL.20000320.0400. CRWMS M&O 2000b. Analysis of Infiltration Uncertainty. ANL-NBS-HS-000027 REV 00. Las Vegas, Nevada: CRWMS M&O. ACC: MOL.20000525.0377. CRWMS M&O 2000c. Analysis of Geochemical Data for the Unsaturated Zone. ANL-NBS-HS- 000017 REV 00. Las Vegas, Nevada: CRWMS M&O. ACC: MOL.20000725.0453. CRWMS M&O 2000d. Geochemical and Isotopic Constraints on Ground-Water Flow Directions, Mixing, and Recharge at Yucca Mountain, Nevada. ANL-NBS-HS-000021 REV 00. Las Vegas, Nevada: CRWMS M&O. ACC: MOL.20000918.0287. CRWMS M&O 2000e. Technical Work Plan for Unsaturated Zone (UZ) Flow and Transport Process Model Report. TWP-NBS-HS-000001, Rev 00 ICN 02. Las Vegas, Nevada; CRWMS M&O. ACC: MOL.20010115.0311 Day, W.C.; Potter, C.J.; Sweetkind, D.S.; Dickerson, R.P.; and San Juan, C.A. 1998. Bedrock Geologic Map of the Central Block Area, Yucca Mountain, Nye County, Nevada. Map I-2601. Washington, D.C.: U.S. Geological Survey. TIC: 237019. Dettinger, M.D. 1989. "Reconnaissance Estimates of Natural Recharge to Desert Basins in Nevada, U.S.A., by Using Chloride-Balance Calculations." Journal of Hydrology, 106, 55-78. Amsterdam, The Netherlands: Elsevier Science. TIC: 236967. DOE (U.S. Department of Energy) 2000. Quality Assurance Requirements and Description. DOE/RW-0333P, Rev. 10. Washington, D.C.: U.S. Department of Energy, Office of Civilian Radioactive Waste Management. ACC: MOL.20000427.0422. Dyer, J.R. 1999. "Revised Interim Guidance Pending Issuance of New U.S. Nuclear Regulatory Commission (NRC) Regulations (Revision 01, July 22, 1999), for Yucca Mountain, Nevada." Letter from J.R. Dyer (DOE/YMSCO) to D.R. Wilkins (CRWMS M&O), September 3, 1999, OL&RC:SB-1714, with enclosure, "Interim Guidance Pending Issuance of New NRC Regulations for Yucca Mountain (Revision 01)." ACC: MOL.19990910.0079. Flint, A.L. and Childs, S.W. 1984. "Physical Properties of Rock Fragments and Their Effect on Available Water in Skeletal Soils." Chapter 10 of Erosion and Productivity of Soils Containing Rock Fragments. SSSA Special Publication #13. Madison, Wisconsin: Soil Science Society of America. TIC: 247223. Flint, A.L. and Childs, S.W. 1987. "Calculation of Solar Radiation in Mountainous Terrain." Agricultural and Forest Meteorology, 40, (3), 233-249. Amsterdam, The Netherlands: Elsevier Science Publishers B.V. TIC: 225242. Flint, A.L. and Childs, S.W. 1991. "Use of the Priestley-Taylor Evaporation Equation for Soil Water Limited Conditions in a Small Forest Clearcut." Agricultural and Forest Meteorology, 56, (3-4), 247-260. Amsterdam, The Netherlands: Elsevier. TIC: 241865. Flint, A.L.; Hevesi, J.A.; and Flint, L.E. 1996. Conceptual and Numerical Model of Infiltration for the Yucca Mountain Area, Nevada. Milestone 3GUI623M. Denver, Colorado: U.S. Geological Survey. ACC: MOL.19970409.0087. Flint, L.E. 1998. Characterization of Hydrogeologic Units Using Matrix Properties, Yucca Mountain, Nevada. Water-Resources Investigations Report 97-4243. Denver, Colorado: U.S. Geological Survey. ACC: MOL.19980429.0512. Flint, L.E. and Flint, A.L. 1995. Shallow Infiltration Processes at Yucca Mountain, Nevada— Neutron Logging Data 1984-93. Water-Resources Investigations Report 95-4035. Denver, Colorado: U.S. Geological Survey. ACC: MOL.19960924.0577. Freeze, R.A. and Cherry, J.A. 1979. Groundwater. Englewood Cliffs, New Jersey: Prentice-Hall. TIC: 217571. French, R.H. 1983. "Precipitation in Southern Nevada." Journal of Hydraulic Engineering, 109, (7), 1023-1036. New York, New York: American Society of Civil Engineers. TIC: 238300. Harrill, J.R. and Prudic, D.E. 1998. Aquifer Systems in the Great Basin Region of Nevada, Utah, and Adjacent States - Summary Report. USGS-PP-1409-A. Washington, D.C.: U.S. Government Printing Office. TIC: 247432. Hatton, T. 1998. Catchment Scale Recharge Modelling. Part 4 of The Basics of Recharge and Discharge. Zhang, L., ed. Collingwood, Victoria, Australia: CSIRO Publishing. TIC: 247711. Hevesi, J.A. and Flint, A.L. 1998. "Geostatistical Estimates of Future Recharge for the Death Valley Region." High-Level Radioactive Waste Management, Proceedings of the Eighth International Conference, Las Vegas, Nevada, May 11-14, 1998. Pages 173-177. La Grange Park, Illinois: American Nuclear Society. TIC: 237082. Hevesi, J.A.; Ambos, D.S.; and Flint, A.L. 1994a. "A Preliminary Characterization of the Spatial Variability of Precipitation at Yucca Mountain, Nevada." High-Level Radioactive Waste Management, Proceedings of the Fifth Annual International Conference, Las Vegas, Nevada, May 22-26, 1994. 4, 2520-2529. La Grange Park, Illinois: American Nuclear Society. TIC: 210984. Hevesi, J.A.; Flint, A.L.; and Flint, L.E. 1994b. "Verification of a One-Dimensional Model for Predicting Shallow Infiltration at Yucca Mountain." High Level Radioactive Waste Management, Proceedings of the Fifth Annual International Conference, Las Vegas, Nevada, May 22-26, 1994. 4, 2323-2332. La Grange Park, Illinois: American Nuclear Society. TIC: 210984. Hevesi, J.A.; Flint, A.L.; and Istok, J.D. 1992. "Precipitation Estimation in Mountainous Terrain Using Multivariate Geostatistics. Part II: Isohyetal Maps." Journal of Applied Meteorology, 31, (7), 677-688. Boston, Massachusetts: American Meteorological Society. TIC: 225248. Jury, W.A.; Gardner, W.R.; and Gardner, W.H. 1991. Soil Physics. 5th Edition. New York, New York: John Wiley & Sons. TIC: 241000. Kwicklis, E.M.; Thamir, F.; Healy, R.W.; and Hampson, D. 1998. Numerical Simulation of Air- and Water-Flow Experiments in a Block of Variably Saturated, Fractured Tuff from Yucca Mountain, Nevada. Water-Resources Investigations Report 97-4274. Denver, Colorado: U.S. Geological Survey. ACC: MOL.19981215.0103. Lichty, R.W. and McKinley, P.W. 1995. Estimates of Ground-Water Recharge Rates for Two Small Basins in Central Nevada. Water-Resources Investigations Report 94-4104. Denver, Colorado: U.S. Geological Survey. ACC: MOL.19960924.0524. Liu, H.H.; Doughty, C.; and Bodvarsson, G.S. 1998. "An Active Fracture Model for Unsaturated Flow and Transport in Fractured Rocks." Water Resources Research, 34, (10), 2633-2646. Washington, D.C.: American Geophysical Union. TIC: 243012. Maidment, D.R., ed. 1993. Handbook of Hydrology. New York, New York: McGraw-Hill. TIC: 236568. Maxey, G.B. and Eakin, T.E. 1950. Ground Water in White River Valley, White Pine, Nye, and Lincoln Counties, Nevada. Water Resources Bulletin No. 8. Carson City, Nevada: State of Nevada, Office of the State Engineer. TIC: 216819. McNaughton, K.G. and Spriggs, T.W. 1989. "An Evaluation of the Priestley and Taylor Equation and the Complementary Relationship Using Results from a Mixed-Layer Model of the Convective Boundary Layer." Estimation of Areal Evapotranspiration, Proceedings of an International Workshop Held During the XIXth General Assembly of the International Union of Geodesy and Geophysics at Vancouver, British Columbia, Canada, 9-22 August, 1987. 177, 89104. Wallingford, United Kingdom: International Association of Hydrological Sciences. TIC: 245925. Nichols, W.D. 1987. Geohydrology of the Unsaturated Zone at the Burial Site for Low-Level Radioactive Waste Near Beatty, Nye County, Nevada. Water-Supply Paper 2312. Denver, Colorado: U.S. Geological Survey. ACC: NNA.19920428.0023. Priestley, C.H.B. and Taylor, R.J. 1972. "On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters." Monthly Weather Review, 100, (2), 81-92. Washington, DC: U.S. Department of Commerce. TIC: 235941. Savard, C.S. 1995. Selected Hydrologic Data from Fortymile Wash in the Yucca Mountain Area, Nevada, Water Year 1992. Open-File Report 94-317. Denver, Colorado: U.S. Geological Survey. ACC: MOL.19941208.0002. Sawyer, D.A.; Wahl, R.R.; Cole, J.C.; Minor, S.A.; Laczniak, R.J.; Warren, R.G.; Engle, C.M.; and Vega, R.G. 1995. Preliminary Digital Geological Map Database of the Nevada Test Site Area, Nevada. Open-File Report 95-0567. Denver, Colorado: U.S. Geological Survey. TIC: 232986. Scott, R.B. and Bonk, J. 1984. Preliminary Geologic Map of Yucca Mountain, Nye County, Nevada, with Geologic Sections. Open-File Report 84-494. Denver, Colorado: U.S. Geological Survey. TIC: 203162. Thompson, R.S.; Anderson, K.H.; and Bartlein, P.J. 1999. Quantitative Paleoclimatic Reconstructions from Late Pleistocene Plant Macrofossils of the Yucca Mountain Region. Open- File Report 99-338. Denver, Colorado: U.S. Geological Survey. ACC: MOL.19991015.0296. USGS (U.S. Geological Survey). 2000a. Simulation of Net Infiltration for Modern and Potential Future Climates AMR. TDP-NBS-HS-000016, Rev. 01. Denver, Colorado: U.S. Geological Survey. ACC: MOL.2000516.0011. USGS (U.S. Geological Survey). 2000b. Future Climate Analysis. ANL-NBS-GS-000008 REV 00. Denver, Colorado: U.S. Geological Survey. ACC: MOL.20000629.0907. Wemheuer, R.F. 1999. "First Issue of FY00 NEPO QAP-2-0 Activity Evaluations." Interoffice correspondence from R.F. Wemheuer (CRWMS M&O) to R.A. Morgan, October 1, 1999, LV.NEPO.RTPS.TAG.10/99-155, with enclosures. ACC: MOL.19991028.0162. Winograd, I.J. 1981. "Radioactive Waste Disposal in Thick Unsaturated Zones." Science, 212, (4502), 1457-1464. Washington, D.C.: American Association for the Advancement of Science. TIC: 217258. 8.2 CODES, STANDARDS, REGULATIONS, AND PROCEDURES CITED AP-2.13Q, Rev. 0, ICN 3. Technical Product Development Planning. Washington, D.C.: U.S. Department of Energy, Office of Civilian Radioactive Waste Management. ACC: MOL.20000504.0305 AP-2.14Q, Rev. 2. Review of Technical Products and Data. Washington, D.C.: U.S. Department of Energy, Office of Civilian Radioactive Waste Management. ACC: MOL.20010801.0316 AP-2.21Q, Rev. 0, Quality Determinations and Planning for Scientific, Engineering, and Regulatory Compliance Activities. Washington, D.C.; U.S. Department of Energy, Office of Civilian Radioactive Waste Management. ACC: MOL.20000802.0003 AP-3.15Q, Rev. 2, ICN 0. Managing Technical Product Inputs. Washington, D.C.: U.S. Department of Energy. Office of Civilian Radioactive Waste Management. ACC: MOL. MOL.20001109.0051 AP-SI.1Q, Rev. 2, ICN 4, ECN 1. Software Management. Washington, D.C.: U.S. Department of Energy, Office of Civilian Radioactive Waste Management. ACC: MOL.20001019.0023 AP-SIII.2Q, Rev. 0, ICN 3. Qualification of Unqualified Data and the Documentation of Rationale for Accepted Data. Washington, D.C.: U.S. Department of Energy, Office of Civilian Radioactive Waste management. ACC: MOL.20001002.0152 AP-SV.1Q, Rev. 0, ICN 2. Control of Electronic Management of Information. Washington, D.C.: U.S. Department of Energy, Office of Civilian Radioactive Waste Management. ACC: MOL.200000831.0065 QAP-2-0, Rev. 5, ICN 1. Conduct of Activities. Las Vegas, Nevada: CRWMS M&O. ACC: MOL.19991109.0221 8.3 SOFTWARE USED 8.3.1 CODES USGS (U.S. Geological Survey) 1996. Software Code: MARKOV V1.0. STN: 10142-1.0-00. USGS (U.S. Geological Survey) 1996. Software Code: PPTSIM V1.0. STN: 10143-1.0-00. USGS (U.S. Geological Survey) 2000. Software Code: INFIL V2.0. STN: 10307-2.0-00. 8.3.2 ROUTINES (See Attachments V through XV) USGS (U.S. Geological Survey) 2000. Software routine: BLOCKR7 V1.0. ANL-NBS-HS- 000032 USGS (U.S. Geological Survey) 2000. Software routine: CHNNET16 V1.0. ANL-NBS-HS- 000032 USGS (U.S. Geological Survey) 2000. Software routine: DAILY09 V1.0. ANL-NBS-HS-000032 USGS (U.S. Geological Survey) 2000. Software routine: GEOMAP7 V1.0. ANL-NBS-HS- 000032 USGS (U.S. Geological Survey) 2000. Software routine: GEOMOD4 V1.0. ANL-NBS-HS- 000032 USGS (U.S. Geological Survey) 2000. Software routine: MAPADD20 V1.0. ANL-NBS-HS- 000032 USGS (U.S. Geological Survey) 2000. Software routine: MAPSUM01 V1.0. ANL-NBS-HS- 000032 USGS (U.S. Geological Survey) 2000. Software routine: SORTGRD1 V1.0. ANL-NBS-HS- 000032 USGS (U.S. Geological Survey) 2000. Software routine: WATSHD20 V1.0. ANL-NBS-HS- 000032 USGS (U.S. Geological Survey) 2000. Software routine: SOILMAP6 V1.0. ANL-NBS-HS- 000032 USGS (U.S. Geological Survey) 2000. Software routine: VEGCOV01 V1.0. ANL-NBS-HS- 000032 8.4 DATA INPUTS, LISTED BY DATA TRACKING NUMBER (DTN) GS000100001221.001. EarthInfo, Inc. Western US Meteorologic Station Weather Data - NCDC Summary of Day (West 1) and NCDC Summary of Day (West 2). Submittal date: 01/25/2000. GS000200001221.002. Precipitation Data for Nevada Test Site, 1957-1994, from Air Resources Laboratory, from National Oceanographic and Atmospheric Administration (NOAA) Precipitation Data. Submittal date: 2/29/2000. GS000200001221.003. NAD27 Datum of USGS Digital Elevation Model from Topopah Spring West and Busted Butte 7.5 Minute Quadrangles. Submittal date: 02/18/2000. GS000208312111.001. Precipitation Data for May 3, 1989 through September 30, 1994 from Weather Stations 1 and 3, Yucca Mountain, Nevada. Submittal date: 02/22/2000. GS000208312111.002. Air Temperature Data for Calendar Year 1992 from Weather Station 1 (Wx-1), Yucca Mountain, Nevada. Submittal date: 02/25/2000. GS000208312111.003. Precipitation Data for July 17, 1987 through May 2, 1989 from Weather Stations 1 and 3, Yucca Mountain, Nevada. Submittal date: 03/01/2000. GS000300001221.009. Evapotranspiration Coefficients. Submittal date: 03/02/2000. GS000300001221.010. Preliminary Digital Geologic Map Database of the Nevada Test Site Area, Nevada by Sawyer and Wahl, 1995. Submittal date: 03/21/2000. GS000408312231.003. Relative Humidity Calculated Porosity Measurements on Samples From Borehole USW SD-9 Used For Saturated Hydraulic Conductivity. Submittal date: 04/10/2000. GS000408312231.004. Data for Core Dried in RH Oven and 105C Oven for USW UZ-N31, UZN32, UZ-N33, UZ-N34, UZ-N35, UZ-N38, UZ-N58, UZ-N59, UE-25 UZN#63 and USW UZN64; Data for Core Dried in 105C Oven Only for USW UZ-N11, UZ-N15, UZ-N16, UZ-N17, UZ-N27, UZ-N36 and UZ-N37. Submittal date: 04/28/2000. GS000508312231.005. UE-25 UZ#16 Pycnometer Data. Submittal date: 05/03/00. GS000508312231.006. Physical Properties and Water content From Borehole USW NRG-6, 3/19/94 to 3/27/95. Submittal Date 05/23/00. GS920508312231.012. USW UZ-N54 and USW UZ-N55 Core Analysis: Bulk Density, Porosity, Particle Density and In Situ Saturation for Core Dried in 105C Oven. Submittal date: 05/14/1992. GS930108312231.006. USW UZ-N53 Core Analysis: Bulk Density, Porosity, Particle Density, and In-Situ Saturation for Core Dried in 105C Oven. Submittal date: 10/05/1992. GS940408312231.004. Core Analysis of Bulk Density, Porosity, Particle Density, and In-Situ Saturation for 3 Neutron Boreholes, USW UZ-N57, UZ-N61, and UZ-N62. Submittal date: 04/01/1994. GS940508312231.006. Core Analysis of Bulk Density, Porosity, Particle Density and In Situ Saturation for Borehole UE-25 UZ#16. Submittal date: 05/04/1994. GS940708312212.011. Volumetric Water Content from Neutron Moisture Meter Counts for 99 Boreholes from 5/3/89 or from the Time They Were Drilled until 12/31/93. Submittal date: 07/13/1994. GS941208312121.001. Surface-Water Discharge Data for the Yucca Mountain Area, Southern Nevada and Southern California, 1994 Water Year. Submittal date: 11/30/1994. GS941208312212.017. Subsurface Water Content at Yucca Mountain, Nevada – Neutron Logging Data for 1/1/94 thru FY94. Submittal date: 12/02/1994. GS950308312231.002. Laboratory Measurements of Bulk Density, Porosity, and Water Content for USW SD-12, from 19 Mar 94 to 11 Aug 94, and for Radial Boreholes from 11 Apr 94 to 6 Feb 95. Submittal date: 03/02/1995. GS950408312231.004. Physical Properties and Water Potentials of Core from Borehole USW SD-9. Submittal date: 03/01/1995. GS950408312231.005. Physical Properties and Water Potentials of Core from Borehole USW UZ-14. Submittal date: 03/09/1995. GS950608312231.008. Moisture Retention Data from Boreholes USW UZ-N27 and UE-25 UZ#16. Submittal date: 06/06/1995. GS950708312211.002. FY94 and FY95 Laboratory Measurements of Physical Properties of Surficial Materials at Yucca Mountain, Nevada. Submittal date: 07/18/1995. GS950708312211.003. Fracture/Fault Properties for Fast Pathways Model. Submittal date: 07/24/1995. GS950808312212.001. Volumetric Water Content Calculated from Field Calibration Equations Using Neutron Counts from 97 Boreholes at Yucca Mountain from 1 Oct 94 to 31 May 95. Submittal date: 08/01/1995. GS951108312231.009. Physical Properties, Water Content, and Water Potential for Borehole USW SD-7. Submittal date: 09/26/1995. GS951108312231.010. Physical Properties and Water Content for Borehole USW NRG-7/7A. Submittal date: 09/26/1995. GS951108312231.011. Physical Properties, Water Content, and Water Potential for Borehole USW UZ-7A. Submittal date: 09/26/1995. GS960108312111.001. Geostatistical Model for Estimating Precipitation and Recharge in the Yucca Mountain Region, Nevada - California. Submittal date: 01/23/1996. GS960108312211.001. FY95 Laboratory Measurements of Physical Properties of Surficial Material at Yucca Mountain, Part II. Submittal date: 01/04/1996. GS960108312211.002. Gravimetric and Volumetric Water Content and Rock Fragment Content of 31 Selected Sites at Yucca Mountain, NV: FY95 Laboratory Measurements of Physical Properties of Surficial Material at Yucca Mountain, Part III. Submittal date: 01/08/1996. GS960108312212.001. Volumetric Water Content Calculated from Field Calibration Equations Using Neutron Counts from 97 Boreholes at Yucca Mountain. Submittal date: 01/31/1996. GS960508312212.007. Estimated Distribution of Geomorphic Surfaces and Depth to Bedrock for the Southern Half of the Topopah Spring NW 7.5 Minute Quadrangle and the Entire Busted Butte 7.5 Minute Quadrangle. Submittal date: 04/21/1996. Submit to RPC URN-0375 GS960508312212.008. Estimated Annual Shallow Infiltration at 84 Boreholes, Water Years 1990 to 1995. Submittal date: 05/17/1996. Submit to RPC URN-0374 GS960808312231.001. Water Permeability and Relative Humidity Calculated Porosity for Boreholes UE-25 UZ-16 and USW UZ-N27. Submittal date: 08/28/1996. GS960808312231.003. Moisture Retention Data for Samples from Boreholes USW SD-7, USW SD-9, USW SD-12 and UE-25 UZ#16. Submittal date: 08/30/1996. GS960808312231.004. Physical Properties, Water Content and Water Potential for Samples from Lower Depths in Boreholes USW SD- 7 and USW SD-12. Submittal date: 08/30/1996. GS960808312231.005. Water Permeability and Relative Humidity Calculated Porosity for Samples from Boreholes USW SD-7, USW SD- 9, USW SD-12 AND USW UZ-14. Submittal date: 08/30/1996. GS960908312111.004. Relative Humidity, Temperature, Wind Speed, Wind Direction, Net Solar Radiation and Precipitation Data from Five Weather Stations in the Yucca Mountain Area for 1995 Water Year. Submittal date: 09/12/96. GS960908312121.001. Surface-Water Discharge Data for the Yucca Mountain Area, Southern Nevada and Southern California, 1995 Water Year. Submittal date: 10/10/1996. GS960908312211.003. Conceptual and Numerical Model of Infiltration at Yucca Mountain, Nevada. Submittal date: 09/12/1996. GS960908312211.004. Heat Dissipation Probe Data: Bleach Bone Ridge 3/95 - 11/95. Submittal date: 09/19/1996. GS970108312111.001. FY96 Site Meteorology Data: Relative Humidity, Temperature, Wind Speed, Wind Direction, Net Solar Radiation and Barometric Pressure from Two Weather Stations in the Yucca Mountain Area, Oct. 1 - Dec. 3, 1995. Submittal date: 01/15/1997. GS971208314221.003. Revised Bedrock Geologic Map of the Central Block Area, Yucca Mountain, Nevada. Submittal date: 12/30/1997. GS980708312242.011. Physical Properties and Hydraulic Conductivity Measurements of Lexan- Sealed Samples from USW WT-24. Submittal date: 07/30/1998. GS980808312242.012. Unsaturated Hydraulic Properties of Lexan-Sealed Samples From USW WT-24, Measured Using a Centrifuge. Submittal date: 08/05/1998. GS980908312242.038. Physical Properties and Saturated Hydraulic Conductivity Measurements of Lexan-Sealed Samples from USW SD-6. Submittal date: 09/22/1998. GS980908312242.039. Unsaturated Water Retention Data for Lexan-Sealed Samples from USW SD-6 Measured Using a Centrifuge. Submittal date: 09/22/1998. GS990408312231.001. Saturated Hydraulic Conductivity of Core from SD-9, 2/27 - 3/27/95. Submittal date: 04/27/1999. MO0003COV00095.000. Coverage: Scotbons. Submittal date: 03/01/2000. MO0109HYMXPROP.001. Matrix Hydrologic Properties Data. Submittal date: 09/17/2001. SNSAND96081900.000. Flow Calculations for Yucca Mountain Groundwater Travel Time (GWTT-95). Submittal date: 12/17/1996. 8.5 OUTPUT DATA, LISTED BY DATA TRACKING NUMBER (DTN) GS000308311221.005 Net Infiltration Modeling Results for 3 Climate Scenarios FY99. Submittal date: 03/01/2000. GS000308311221.011. Template Files for Uncertainty Analyses. Submitttal date: 03/13/2000. GS000308311221.010. Preliminary Developed Daily Climate Data From Tule Lake, California Used for Infiltration Uncertainty Analysis. Submittal date: 03/07/2000. GS000308311221.008. Preliminary Estimates of Input Parameter Distributions Used for Infiltration Uncertainty Analysis. Submittal date: 03/13/2000. GS000399991221.002 Rainfall Runoff/Run-on 1999 Simulations. Submittal date: 03/10/2000. GS000208311221.001. Yucca Mountain 1980-1995 Developed Daily Precipitation Record. Submittal date: 02/28/2000. GS000208311221.002. Preliminary Developed Daily Climate Data for Potential Future Monsoon and Glacial Transition Climates Using Records from Selected Analog Sites. Submittal date: 02/28/2000. GS000308311221.004. Preliminary Geospatial Input Data for Infil V2.0 FY99. Submittal date: 03/01/2000. GS000308311221.006. Merged USGS Digital Elevation Model from Topopah Spring West and Busted Butte 7.5' DEMS. Submittal date: 03/02/2000. ATTACHMENT I ATTACHMENT II: ATTACHMENT III: ATTACHMENT IV: ATTACHMENT V: ATTACHMENT VI: ATTACHMENT VII: ATTACHMENT VIII: ATTACHMENT IX: ATTACHMENT X: ATTACHMENT XI: ATTACHMENT XII: VEGCOV01 V1.0 ATTACHMENT XIII: WATSHED20 V1.0 ATTACHMENT XIV: ATTACHMENT XV: 9.9.ATTACHMENTSATTACHMENTSTables Figures Yucca Mountain 1980-95 Developed Daily Precipitation Record Geospatial Input Data for INFIL V2.0 FY99 Development of Daily Climate Input using DAILY09 V1.0 Calculation of Blocking Ridges using BLOCKR7 V1.0 Inclusion of Updated Bedrock Geology using GEOMAP7 V1.0 Adjustment of the Soil Depth Class Map using GEOMOD4 V1.0 Estimation of Soil Depth using SOILMAP6 V1.0 Development of Flow Routing Parameters using SORTGRD1 V1.0 Calculation of Flow Routing Parameters using CHNNET16 V1.0 Development of Geospatial Input Parameters using Extraction of Watershed Modeling Domains using Post-processing of model results using MAPADD20 V1.0 Post-processing of model results using MAPSUM01 V1.0 ATTACHMENT ITABLES TOTAL PAGES : 24 Table 3-1 Computer Software Used to Develop Estimates of Net Infiltration. Item No. Software Name Version Software Tracking Number Computer Type Used Description 1 MARKOV 1.0 10142-1.0-00 Pentium Pro PC, Windows NT 4.0 Calculates monthly Markov chain probabilities for occurrence of daily precipitation and fits monthly exponential distribution coefficients to define the cumulative probability distribution function for the magnitude of daily precipitation. Uses daily precipitation records for input. 2 PPTSIM 1.0 10143-1.0-00 Pentium Pro PC, Windows NT 4.0 Performs a stochastic simulation of daily precipitation using input probabilities and coefficients provided as output from MARKOV and a user defined prime seed. 3 BLOCKR7 1.0 Attachment VI Pentium Pro PC, Windows NT 4.0 FORTRAN77 Combines ARCINFO raster-grid export files (30mlat.asc, 30mlong.asc, 30mslope.asc, 30maspct.asc, 30melev.asc, 30msoil.asc, 30mdpth.asc, 30mrock.asc, and 30mtopo.asc) into a single column-formatted ASCII text file. Calculates 36 blocking ridge parameters for all grid locations using the raster-grid elevation data and adds the 36 columns to the output file (30msite.inp). 4 GEOMAP7 1.0 Attachment VII Pentium Pro PC, Windows NT 4.0 FORTRAN77 Updates the 1996 INFIL V1.0 geospatial input file (30msite.inp) to include the Day and others (1998) central block geology map. 5 VEGCOV01 1.0 Attachment XII Pentium Pro PC, Windows NT 4.0 FORTRAN77 Performs a modification to bedrock saturated hydraulic conductivity provided as input to account for a north-south gradation in bedrock hydraulic conductivity. 6 GEOMOD4 1.0 Attachment VIII Pentium Pro PC, Windows NT 4.0 FORTRAN77 Defines an intermediate soil depth buffer zone between thin upland soils and thick alluvium using the mapped alluvium boundary and estimates the bedrock geology type underlying the buffer zone. Uses output from GEOMAP7 as input. 7 SOILMAP6 1.0 Attachment IX Pentium Pro PC, Windows NT 4.0 FORTRAN77 Estimates soil depths based on mapped soil depth classes and calculated ground surface slope included as input parameters in the geospatial parameter input file created as output from GEOMOD4. Item No. Software Name Version Software Tracking Number Computer Type Used Description 8 SORTGRD1 1.0 Attachment X Pentium Pro PC, Windows NT 4.0 FORTRAN77 Performs a bubble sort on the geospatial parameter input file based on elevation (sorts elevation from highest to lowest). The sorted file increases the efficiency of channel routing. Input is provided by SOILMAP6. 9 CHNNET16 1.0 Attachment XI Pentium Pro PC, Windows NT 4.0 FORTRAN77 Establishes the numerical channel network using elevations from the output file generated by SORTGRD1. Outputs a new file containing flow routing parameters for all grid cells. The new output file is used as input to WATSHD20. 10 WATSHD20 1.0 Attachment XIII Pentium Pro PC, Windows NT 4.0 FORTRAN77 Extracts the watershed modeling domains based on a user defined watershed outflow point and input supplied form SORTGRD1 and CHNNET16. The output file is supplied directly as input to INFIL V2.0. 11 INFIL 2.0 10307-2.0-00 Pentium Pro PC, Windows NT 4.0 FORTRAN77 Simulates components of the water balance for watershed input domains supplied by WATSHD20, daily climate input, and model parameters included in the model control file. Outputs average annual rates for all components of the water balance, including net infiltration rates, for all grid cells located within the watershed- modeling domain. 12 DAILY09 1.0 Attachment V Pentium Pro PC, Windows NT 4.0 FORTRAN77 Reformats daily climate records exported from the EarthInfo database. Checks for data gaps and interpolates missing data if gaps are small or discards annual records if gaps are large. 13 MAPADD20 1.0 Attachment XIV Pentium Pro PC, Windows NT 4.0 FORTRAN77 Compiles results obtained for individual watersheds into a single composite watershed-modeling domain, and calculates statistics for the composite watershed-modeling domain. 14 MAPSUM01 1.0 Attachment XV Pentium Pro PC, Windows NT 4.0 FORTRAN77 Calculates statistics for sub-areas within the composite watershed model domain. Uses results from MAPADD20 and a blanked SURFER grid as input. The blanked SURFER grid is created using the output from MAPADD20 and the boundary line of the subarea. Table 4-1. Data Sets Used for Model Development, Calibration, and Application. Description Data Tracking Number EarthInfo, Inc. Western US Meteorologic Station Weather Data - NCDC Summary of GS000100001221.001 Day (West 1) and NCDC Summary of Day (West 2). Submittal date: 01/25/2000. Precipitation Data for Nevada Test Site, 1957-1994, from Air Resources Laboratory, GS000200001221.002 from National Oceanographic and Atmospheric Administration (NOAA) Precipitation Data. Submittal date: 2/29/2000. NAD27 Datum of USGS Digital Elevation Model from Topopah Spring West and GS000200001221.003 Busted Butte 7.5 Minute Quadrangles. Submittal date: 02/18/2000. Precipitation Data for May 3, 1989 through September 30, 1994 from Weather GS000208312111.001 Stations 1 and 3, Yucca Mountain, Nevada. Submittal date: 02/22/2000. Air Temperature Data for Calendar Year 1992 from Weather Station 1 (Wx-1), Yucca GS000208312111.002 Mountain, Nevada. Submittal date: 02/25/2000. Precipitation Data for July 17, 1987 through May 2, 1989 from Weather Stations 1 GS000208312111.003 and 3, Yucca Mountain, Nevada. Submittal date: 03/01/2000. Evapotranspiration Coefficients. Submittal date: 03/02/2000. GS000300001221.009 Preliminary Digital Geologic Map Database of the Nevada Test Site Area, Nevada by GS000300001221.010 Sawyer and Wahl, 1995. Submittal date: 03/21/2000. Matrix Hydrologic Properties Data. Submittal date: 09/17/2001. MO0109HYMXPROP.001 Relative Humidity Calculated Porosity Measurements on Samples From Borehole GS000408312231.003 USW SD-9 Used For Saturated Hydraulic Conductivity. Submittal date: 04/10/2000. USW UZ-N54 and USW UZ-N55 Core Analysis: Bulk Density, Porosity, Particle GS920508312231.012 Density and In Situ Saturation for Core Dried in 105C Oven. Submittal date: 05/14/1992. USW UZ-N53 Core Analysis: Bulk Density, Porosity, Particle Density, and In-Situ GS930108312231.006 Saturation for Core Dried in 105C Oven. Submittal date: 10/05/1992. Data For Core Dried in RH Oven and 105C Oven for USW UZ-N31, UZ-N32, UZ-GS000408312231.004 N33, UZ-N34, UZ-N35, UZ-N38, UZ-N58, UZ-N59, UE-25 UZN#63, and USW UZN64; Data for Core Dried in 105C Oven only for USW UZ-N11, UZ-N15, UZ-N16, UZN17, UZ-N27, UZ-N36, and UZ-N37. Submittal date: 04/28/2000. Core Analysis of Bulk Density, Porosity, Particle Density, and In-Situ Saturation for 3 GS940408312231.004 Neutron Boreholes, USW UZ-N57, UZ-N61, and UZ-N62. Submittal date: 04/01/1994. Core Analysis of Bulk Density, Porosity, Particle Density and In Situ Saturation for GS940508312231.006 Borehole UE-25 UZ#16. Submittal date: 05/04/1994. Volumetric Water Content from Neutron Moisture Meter Counts for 99 Boreholes from GS940708312212.011 5/3/89 or from the Time They Were Drilled until 12/31/93. Submittal date: 07/13/1994. Surface-Water Discharge Data for the Yucca Mountain Area, Southern Nevada and GS941208312121.001 Southern California, 1994 Water Year. Submittal date: 11/30/1994. Subsurface Water Content at Yucca Mountain, Nevada – Neutron Logging Data for GS941208312212.017 1/1/94 thru FY94. Submittal date: 12/02/1994. Laboratory Measurements of Bulk Density, Porosity, and Water Content for USW SD-GS950308312231.002 12, from 19 Mar 94 to 11 Aug 94, and for Radial Boreholes from 11 Apr 94 to 6 Feb 95. Submittal date: 03/02/1995. UE-25 UZ#16 Pycnometer Data. Submittal date: 05/03/00. GS000508312231.005 Physical Properties and Water Potentials of Core from Borehole USW SD-9. GS950408312231.004 Submittal date: 03/01/1995. Physical Properties and Water Potentials of Core from Borehole USW UZ-14. GS950408312231.005 Submittal date: 03/09/1995. Physical Properties and Water Content from Borehole USW NRG-6, 19 Mar 94 to 27 GS000508312231.006 Mar 95. Submittal date: 05/23/00. Moisture Retention Data from Boreholes USW UZ-N27 and UE-25 UZ#16. Submittal GS950608312231.008 date: 06/06/1995. FY94 and FY95 Laboratory Measurements of Physical Properties of Surficial Materials GS950708312211.002 at Yucca Mountain, Nevada. Submittal date: 07/18/1995. Fracture/Fault Properties for Fast Pathways Model. Submittal date: 07/24/1995. GS950708312211.003 Volumetric Water Content Calculated from Field Calibration Equations Using Neutron GS950808312212.001 Counts from 97 Boreholes at Yucca Mountain from 1 Oct 94 to 31 May 95. Submittal date: 08/01/1995. Description Data Tracking Number Physical Properties, Water Content, and Water Potential for Borehole USW SD-7. GS951108312231.009 Submittal date: 09/26/1995. Physical Properties and Water Content for Borehole USW NRG-7/7A. Submittal date: GS951108312231.010 09/26/1995. Physical Properties, Water Content, and Water Potential for Borehole USW UZ-7A. GS951108312231.011 Submittal date: 09/26/1995. Geostatistical Model for Estimating Precipitation and Recharge in the Yucca Mountain GS960108312111.001 Region, Nevada - California. Submittal date: 01/23/1996. Volumetric Water Content Calculated from Field Calibration Equations Using Neutron GS960108312212.001 Counts from 97 Boreholes at Yucca Mountain. Submittal date: 01/31/1996. Estimated Distribution of Geomorphic Surfaces and Depth to Bedrock for the GS960508312212.007 Southern Half of the Topopah Spring NW 7.5 Minute Quadrangle and the Entire Busted Butte 7.5 Minute Quadrangle. Submittal date: 04/21/1996. Submit to RPC Estimated Annual Shallow Infiltration at 84 Boreholes, Water Years 1990 to 1995. GS960508312212.008 Submittal date: 05/17/1996. Submit to RPC Water Permeability and Relative Humidity Calculated Porosity for Boreholes UE-25 GS960808312231.001 UZ-16 and USW UZ-N27. Submittal date: 08/28/1996. Moisture Retention Data for Samples from Boreholes USW SD-7, USW SD-9, USW GS960808312231.003 SD-12 and UE-25 UZ#16. Submittal date: 08/30/1996. Physical Properties, Water Content and Water Potential for Samples from Lower GS960808312231.004 Depths in Boreholes USW SD- 7 and USW SD-12. Submittal date: 08/30/1996. Water Permeability and Relative Humidity Calculated Porosity for Samples from GS960808312231.005 Boreholes USW SD-7, USW SD- 9, USW SD-12 AND USW UZ-14. Submittal date: 08/30/1996. Relative Humidity, Temperature, Wind Speed, Wind Direction, Net Solar Radiation GS960908312111.004 and Precipitation Data from Five Weather Stations in the Yucca Mountain Area for 1995 Water Year. Submittal date: 09/12/96. Surface-Water Discharge Data for the Yucca Mountain Area, Southern Nevada and GS960908312121.001 Southern California, 1995 Water Year. Submittal date: 10/10/1996. FY95 Laboratory Measurements of Physical Properties of Surficial Material at Yucca GS960108312211.001 Mountain, Part II. Submittal date: 01/04/1996. Gravimetric and Volumetric Water Content and Rock Fragment Content of 31 GS960108312211.002 Selected Sites at Yucca Mountain, Part III. Submittal date: 01/08/1996 Conceptual and Numerical Model of Infiltration at Yucca Mountain, Nevada. Submittal GS960908312211.003 date: 09/12/1996. Heat Dissipation Probe Data: Bleach Bone Ridge 3/95 - 11/95. Submittal date: GS960908312211.004 09/19/1996. FY96 Site Meteorology Data: Relative Humidity, Temperature, Wind Speed, Wind GS970108312111.001 Direction, Net Solar Radiation and Barometric Pressure from Two Weather Stations in the Yucca Mountain Area, Oct. 1 - Dec. 3, 1995. Submittal date: 01/15/1997. Revised Bedrock Geologic Map of the Central Block Area, Yucca Mountain, Nevada. GS971208314221.003 Submittal date: 12/30/1997. Physical Properties and Hydraulic Conductivity Measurements of Lexan-Sealed GS980708312242.011 Samples from USW WT-24. Submittal date: 07/30/1998. Unsaturated Hydraulic Properties of Lexan-Sealed Samples From USW WT-24, GS980808312242.012 Measured Using a Centrifuge. Submittal date: 08/05/1998. Physical Properties and Saturated Hydraulic Conductivity Measurements of Lexan-GS980908312242.038 Sealed Samples from USW SD-6. Submittal date: 09/22/1998. Unsaturated Water Retention Data for Lexan-Sealed Samples from USW SD-6. GS980908312242.039 Submittal date: 09/22/1998. Saturated Hydraulic Conductivity of Core from SD-9, 2/27 - 3/27/95. Submittal date: GS990408312231.001 04/27/1999. Coverage: Scotbons. Submittal date: 03/01/2000. Submit to RPC MO0003COV00095.000 Flow Calculations for Yucca Mountain Groundwater Travel Time (GWTT-95). SNSAND96081900.000. Submittal date: 12/17/1996. Precipitation records used for developing 100-year stochastic models of daily climate input Table 6-1. Stations And Precipitation Records Used to Develop the 1980–95 Daily Climate Input Files Used for Model Calibration and for Modern Climate Scenarios [UTM, Universal Transverse Mercator; m, meters; mm, millimeters] Precipitation records used for developing 1980–95 daily climate input used for model calibration Station name Data source UTM easting (m) UTM northing (m) Station elevation (m) Record starting date Record ending date 07/17/87– 09/30/94 Average annual Precipitation (mm) Beatty 8 N NCDC: GS000100001221.001 525,211 4,094,707 1,082 12/01/72 12/31/94 133 Amargosa Farms NCDC: GS000100001221.001 547,723 4,046,733 747 12/01/65 12/31/94 107 4JA NTS: GS000200001221.002 563,949 4,070,874 1,043 12/01/57 09/30/94 154 40MN NTS: GS000200001221.002 563,726 4,100,456 1,469 02/15/60 09/30/94 201 Rock Valley NTS: GS000200001221.002 571,477 4,059,840 1,036 02/01/63 09/30/94 155 Cane Spring NTS: GS000200001221.002 580,273 4,074,710 1,219 09/01/64 09/30/94 202 Mid Valley NTS: GS000200001221.002 574,182 4,091,296 1,420 09/01/64 09/30/94 195 Tippipah Spring #2 NTS: GS000200001221.002 572,619 4,100,528 1,518 09/01/64 09/30/94 206 Weather station #1 USGS GS000208312111.001 GS000208312111.003 550,424 4,071,986 1,163 04/27/87 09/30/95 157 Weather station #3 USGS GS000208312111.001 GS000208312111.003 548,038 4,080,316 1,351 06/06/87 09/30/95 179 Station name Data source UTM easting (m) UTM northing (m) Station elevation (m) Record starting date Record ending date Complete Record Average annual precipitation (mm) 4JA NTS: GS000200001221.002 563,949 4,070,874 1,043 12/01/57 09/30/94 131 Area 12 Mesa NTS: GS000200001221.002 569,533 4,115,294 2,283 03/11/59 10/04/94 315 Table 6-2. Comparison of measured versus simulated daily mean discharge at stream-gaging sites for streamflow events in 1995 [cfs, cubic feet per second] (data source:GS941208312121.001; GS960908312121.001) 1995 Stream flow events (Daily Mean Discharge, in cfs) NWIS Database ATS#YD-200000269 Calibration watershed Date 01/25/95 01/26/95 03/10/95 03/11/95 Lower Pagany Wash Measured 0.00 0.01 0.00 8.60 Simulated 0.00 0.00 0.00 7.23 Upper Pagany Wash Measured 0.00 1.70 0.00 12.00 Simulated 0.34 0.00 0.13 9.46 Upper Drillhole Wash Measured 0.00 0.00 0.00 5.00 Simulated 1.55 0.00 0.00 9.33 Upper Split Wash Measured 0.10 1.50 0.00 3.00 Simulated 0.07 0.02 0.28 3.69 Wren Wash Measured 0.66 0.96 0.00 2.60 Simulated 0.71 0.19 0.70 3.92 Table 6-3. Summary of developed daily climate input files used for modern climate scenarios [mm, millimeters] (data source: GS000208311221.001) Yucca Mountain calibrationdaily climate input 4JAstochastic simulation Area 12 MesaStochastic simulation Filename Mod3-ppt.dat 4JA.s01 Area12.s01 Beginning of record 01/01/1980 n/a n/a Ending of record 10/01/1995 n/a n/a Total number of years for simulation 15.75 100 100 Mean annual precipitation (mm) 181 140 328 Maximum daily precipitation (mm) 58 82 76 Table 6-4. Summary of analog climate records used to develop the daily climate input for the upper bound monsoon climate scenario (data source: GS000100001221.001). Monsoon upper bound #1(MU1) Monsoon upper bound #2(MU2) Source filename Nogales.dat Hobbs.dat Approximate Station Location Nogales, AZ Hobbs, NM NCDC Station Code AZ 5921 NM 4026 Elevation (m) 1162 1102 Latitude (deg, min, sec) 31, 21, 00 32, 42, 00 Longitude (deg, min, sec) 110, 55, 00 103, 08, 00 Beginning of record July, 1948 January, 1948 Ending of record June, 1983 December, 1997 Number of complete years of record 33 50 Mean annual precip. (mm) 414.0 417.6 Mean January - March precip. (mm) 70.6 36.8 Mean April - June precip. (mm) 20.3 120.9 Mean July - September precip. (mm) 251.5 191.3 Mean October - December precip. (mm) 78.5 140.2 Maximum daily precip. (mm) 77.7 190.5 Mean annual snow (mm) 7.5 13.2 Mean October - March snow fall (mm) 6.8 13.1 Mean April - September snow fall (mm) 0.6 0.6 Maximum daily snow fall (mm) 30.5 25.4 Mean daily air temperature (Celsius) 15.8 16.8 Mean October - March daily air temperature (Celsius) 10.5 10.2 Mean April - September daily air temperature (Celsius) 21.2 23.2 Table 6-5. Summary of analog climate records used to develop the daily climate input for the lower bound glacial transition climate scenario (data source: GS000100001221.001). Glacial transition lower bound #1 (GL1) Glacial transition lower bound #2 (GL2) Source filename Beowawe.dat Delta.dat Approximate Station Location Beowawe, Nevada Delta, Utah NCDC Station Code NV 795 UT 2090 Elevation (m) 1432 1409 Latitude (deg, min, sec) 40, 35, 25 39, 20, 22 Longitude (deg, min, sec) 116, 28, 29 112, 35, 45 Beginning of record July, 1949 June, 1938 Ending of record December, 1997 December, 1997 Number of complete years of record 42 52 Mean annual precip. (mm) 219.5 197.9 Mean January - March precip. (mm) 53.6 50.3 Mean April - June precip. (mm) 71.9 55.6 Mean July - September precip. (mm) 31.0 40.4 Mean October - December precip. (mm) 70.1 67.8 Maximum daily precip. (mm) 43.2 65.8 Mean annual snow fall (mm) 36.6 63.9 Mean October - March snow fall (mm) 29.7 57.3 Mean April - September snow fall (mm) 1.7 5.2 Maximum daily snow fall (mm) 25.4 40.6 Mean air temperature ( Celsius) 8.8 10.1 Mean October - March air temperature (Celsius) 1.9 2.1 Mean April - September air temperature (Celsius) 15.7 18.0 Table 6-6. Summary of analog climate records used to develop the daily climate input for the upper bound glacial transition climate scenario (data source: GS000100001221.001). Glacial transition upper bound #1 (GU1) Glacial transition upper bound #2 (GU2) Glacial transition upper bound #2 (GU3) Source filename Rosalia.dat Spokane.dat Stjohn.dat Approximate Station Location Rosalia, WA Spokane, WA St John, WA NCDC Station Code WA 7180 WA 7938 WA 7267 Elevation (m) 731 718 593 Latitude (deg, min, sec) 47, 14, 00 47, 38, 00 47, 06, 00 Longitude (deg, min, sec) 117, 22, 00 117, 32, 00 117, 35, 00 Beginning of record 06/1948 08/1889 08/1963 Ending of record 12/1997 12/1997 12/1997 Number of complete years of record 43 108 33 Mean annual precip. (mm) 459.7 410.2 433.3 Mean January - March precip. (mm) 138.7 125.5 125.2 Mean April - June precip. (mm) 109.7 94.0 104.6 Mean July - September precip. (mm) 56.9 51.3 56.1 Mean October - December precip. (mm) 172.7 160.0 165.4 Maximum daily precip. (mm) 36.8 42.2 41.1 Mean annual snow fall (mm) 61.8 107.0 65.5 Mean October - March snow fall (mm) 60.9 105.7 59.8 Mean April - September snow fall (mm) 0.5 1.4 0.8 Maximum daily snow fall (mm) 27.9 32.3 30.2 Mean daily air temperature (Celsius) 8.4 8.9 9.1 Mean October - March daily air temperature (Celsius) 2.0 1.9 2.9 Mean April - September daily air temperature ( Celsius) 14.5 15.8 15.1 Table 6-7. Summary of INFIL simulation results used to develop spatially distributed net-infiltration estimates for modern climate scenarios [mm, millimeters] (GS000308311221.005) INFIL simulation results for the 123.7-km2 area of the net infiltration model domain INFIL simulation ID used for developing the modern climate scenario YM1-4ex 4JA1-4ex 4JA1-4ex A121-4ex Daily climate input filename Mod3-ppt.dat 4JA.s01 4JA.s01 Area12.s01 Simulation period (year number) 1980 – 1995 0 - 100 80 - 90 0 - 100 Simulation time (years) 16 100 10 100 Average annual precipitation (mm/year) Mean 189.3 187.7 182.8 342.8 Maximum 282.9 280.6 273.3 512.4 Minimum 148.0 146.8 143.0 268.1 Average annual evapotranspiration (mm/year) Mean 182.7 185.5 181.8 326.8 Maximum 571.9 652.3 689.1 788.8 Minimum 61.9 51.1 50.6 83.4 Average annual infiltrated surface water run-on (mm/year) Mean 6.0 2.7 1.6 15.1 Maximum 1,514.4 669.6 599.7 4,343.8 Minimum 0.0 0.0 0.0 0.0 Average annual outflow (mm/year) 0.3 0.1 0.0 1.5 Average annual net infiltration (mm/year) Mean 5.1 2.2 1.3 14.0 Maximum 1,486.2 574.4 252.0 4,354.3 Minimum 0.0 0.0 0.0 0.0 Table 6-8. Estimation results for modern climate scenarios over the 123.7- km2 area of the infiltration model domain [mm, millimeters] [GS000308311221.005] Estimation results for modern climate scenarios for total area of infiltration model domain Modern climate scenario Lower bound Mean Upper bound Filename for spatial distribution results Modernl.dat Modernm.dat Modernu.dat Average annual precipitation (mm/year) Mean 185.8 188.5 265.6 Maximum 282.2 281.8 397.1 Minimum 148.0 147.4 207.8 Average annual evapotranspiration (mm/year) Mean 184.8 184.1 255.5 Maximum 571.9 612.1 700.5 Minimum 54.7 56.5 71.5 Average annual infiltrated surface water run-on (mm/year) Mean 2.1 4.4 9.7 Maximum 474.2 994.1 2,669.0 Minimum 0.0 0.0 0.0 Average annual outflow (mm/year) 0.2 0.2 0.9 Average annual net infiltration (mm/year) Mean 1.2 3.6 8.8 Maximum 252.0 958.9 2,656.6 Minimum 0.0 0.0 0.0 Table 6-9. Estimation results for modern climate scenarios over the 38.7- km2 area of the 1999 UZ flow and transport model domain [mm, millimeters] [GS000308311221.005] Estimation results for modern climate scenarios for area of UZ flow and transport model domain Modern climate scenario Lower bound Mean Upper bound Filename for spatial distribution results Modernl.dat Modernm.dat Modernu.dat Average annual precipitation (mm/year) Mean 186.8 190.6 268.6 Maximum 246.3 246.5 347.4 Minimum 162.7 167.1 235.5 Average annual evapotranspiration (mm/year) Mean 186.2 185.3 257.1 Maximum 367.9 348.2 485.6 Minimum 62.2 59.7 77.2 Average annual infiltrated surface water run-on (mm/year) Mean 1.9 4.1 10.1 Maximum 194.9 277.0 802.9 Minimum 0.0 0.0 0.0 Average annual outflow (mm/year) -0.7 -0.2 -0.3 Average annual net infiltration (mm/year) Mean 1.3 4.6 11.1 Maximum 218.8 263.6 784.9 Minimum 0.0 0.0 0.0 Table 6-10. Estimation results for modern climate scenarios over the 4.7- km2 area of the 1999 design potential repository area [mm, millimeters] [GS000308311221.005] Estimation results for modern climate scenarios for area of potential repository Modern climate scenario Lower bound Mean Upper bound Filename for spatial distribution results Modernl.dat Modernm.dat Modernu.dat Average annual precipitation (mm/year) Mean 191.6 196.9 277.5 Maximum 204.1 209.9 295.8 Minimum 178.2 183.4 258.5 Average annual evapotranspiration (mm/year) Mean 191.7 189.9 260.4 Maximum 252.9 273.3 423.0 Minimum 155.0 154.7 203.0 Average annual infiltrated surface water run-on (mm/year) Mean 1.0 3.4 8.1 Maximum 59.8 161.1 454.8 Minimum 0.0 0.0 0.0 Average annual outflow (mm/year) -0.3 1.4 4.9 Average annual net infiltration (mm/year) Mean 0.4 4.7 11.6 Maximum 26.6 120.1 387.4 Minimum 0.0 0.0 0.0 Table 6-11. Summary of INFIL simulation results used to develop spatially distributed net-infiltration estimates for the upper bound monsoon climate scenarios [mm, millimeters] [GS000308311221.005] INFIL simulation results for the 123.7-km2 area of the net infiltration model domain INFIL simulation ID used for developing the upper bound monsoon climate scenario MU1-5oh MU2-5oh Daily climate input filename Nogales.inp Hobbs.inp Simulation period (begin date – end date) 1/1/49 - 12/31/82 1/1/48 - 12/31/97 Air temperature (Celsius) Mean annual 16.6 17.5 Maximum daily 33.2 34.0 Minimum daily -8.5 -13.7 Average annual precipitation (mm/year) Mean 410.5 414.4 Maximum 511.2 516.0 Minimum 366.2 369.7 Average annual snow fall (mm/year) Mean 1.3 12.2 Maximum 33.7 44.9 Minimum 0.0 2.4 Average annual evapotranspiration (mm/year) Mean 386.3 386.3 Maximum 814.7 818.8 Minimum 107.9 90.8 Average annual infiltrated surface water run-on (mm/year) Mean 19.9 16.3 Maximum 2,884.9 2,306.4 Minimum 0.0 0.0 Average annual outflow (mm/year) 5.8 14.3 Average annual net infiltration (mm/year) Mean 15.1 12.1 Maximum 2,900.6 2,330.0 Minimum 0.0 0.0 Table 6-12. Estimation results for the monsoon climate scenarios over the 123.7- km2 area of the infiltration model domain [mm, millimeters] [GS000308311221.005] Estimation results for monsoon climate scenarios for total area of infiltration model domain Monsoon climate scenario Lower bound Mean Upper bound Filename for spatial distribution results Monsoonl.dat Monsoonm.dat Monsoonu.dat Mean annual air temperature (Celsius) 17.3 17.2 17.0 Average annual precipitation (mm/year) Mean 188.5 300.5 412.5 Maximum 281.8 397.7 513.6 Minimum 147.4 257.7 368.0 Average annual snow fall (mm/year) Mean n/a n/a 6.8 Maximum n/a n/a 39.3 Minimum n/a n/a 1.2 Average annual evapotranspiration (mm/year) Mean 184.1 285.2 386.3 Maximum 612.1 714.4 816.7 Minimum 56.5 77.9 99.3 Average annual infiltrated surface-water run-on (mm/year) Mean 4.4 11.2 18.1 Maximum 994.1 1,794.9 2,595.7 Minimum 0.0 0.0 0.0 Average annual outflow (mm/year) 0.2 5.1 10.0 Average annual net infiltration (mm/year) Mean 3.6 8.6 13.6 Maximum 958.9 1,787.1 2,615.3 Minimum 0.0 0.0 0.0 Table 6-13. Estimation results for the monsoon climate scenarios over the 38.7-km2 area of the UZ flow and transport model domain [mm, millimeters] [GS000308311221.005] Estimation results for monsoon climate scenarios for area of UZ flow and transport model Monsoon climate scenario Lower bound Mean Upper bound Filename for spatial distribution results Monsoonl.dat Monsoonm.dat Monsoonu.dat Average annual precipitation (mm/year) Mean 190.6 302.7 414.8 Maximum 246.5 360.9 475.4 Minimum 167.1 278.2 389.3 Average annual snow fall (mm/year) Mean n/a n/a 6.8 Maximum n/a n/a 18.8 Minimum n/a n/a 3.0 Average annual evapotranspiration (mm/year) Mean 185.3 284.0 382.8 Maximum 348.2 509.9 684.7 Minimum 59.7 81.7 103.7 Average annual infiltrated surface-water run-on (mm/year) Mean 4.1 12.2 20.4 Maximum 277.0 642.7 1,018.2 Minimum 0.0 0.0 0.0 Average annual outflow (mm/year) -0.2 4.6 9.5 Average annual net infiltration (mm/year) Mean 4.6 12.2 19.8 Maximum 263.6 629.0 1,016.2 Minimum 0.0 0.0 0.0 Table 6-14. Estimation results for the monsoon climate scenarios over the 4.7-km2 area of the 1999 design potential repository area [mm, millimeters] [GS000308311221.005] Estimation results for monsoon climate scenarios for area of potential repository Monsoon climate scenario Lower bound Mean Upper bound Filename for spatial distribution results Monsoonl.dat Monsoonm.dat Monsoonu.dat Average annual precipitation (mm/year) Mean 196.9 309.3 421.6 Maximum 209.9 322.8 435.7 Minimum 183.4 295.2 407.0 Average annual snow fall (mm/year) Mean n/a n/a 7.7 Maximum n/a n/a 10.9 Minimum n/a n/a 5.3 Average annual evapotranspiration (mm/year) Mean 189.9 281.7 373.5 Maximum 273.3 466.4 666.0 Minimum 154.7 217.8 277.1 Average annual infiltrated surface-water run-on (mm/year) Mean 3.4 9.1 14.8 Maximum 161.1 348.6 536.1 Minimum 0.0 0.0 0.0 Average annual outflow (mm/year) 1.4 13.2 25.1 Average annual net infiltration (mm/year) Mean 4.7 12.5 20.3 Maximum 120.1 267.0 413.8 Minimum 0.0 0.0 0.0 Table 6-15. INFIL simulation results used to develop spatially distributed net-infiltration estimates for the lower bound glacial transition climate scenario [mm, millimeters] [GS000308311221.005] INFIL simulation results for the 123.7-km2 area of the net infiltration model domain INFIL simulation ID used for developing the lower bound glacial transition climate scenario GL1-5od GL2-5od Daily climate input filename Beowawe.inp Delta.inp Simulation period (begin date – end date) 01/1/51 - 12/31/97 01/1/48 - 12/31/97 Air temperature (Celsius) Mean annual 9.6 10.8 Maximum daily 31.0 31.5 Minimum daily -31.2 -24.9 Average annual precipitation (mm/year) Mean 208.4 193.7 Maximum 259.5 241.1 Minimum 185.9 172.8 Average annual snow fall (mm/year) Mean 30.7 27.6 Maximum 118.8 100.0 Minimum 8.5 9.9 Average annual evapotranspiration (mm/year) Mean 201.1 188.1 Maximum 542.6 508.9 Minimum 68.1 79.0 Average annual infiltrated surface-water run-on (mm/year) Mean 2.9 1.4 Maximum 735.4 351.2 Minimum 0.0 0.0 Average annual mean outflow (mm/year) 0.0 0.0 Average annual net infiltration (mm/year) Mean 2.9 1.4 Maximum 559.7 228.0 Minimum 0.0 0.0 Table 6-16. INFIL simulation results used to develop spatially distributed net-infiltration estimates for the upper bound glacial transition climate scenario [mm, millimeters] [GS000308311221.005] INFIL simulation results for the 123.7-km2 area of the net infiltration model domain INFIL simulation ID used for developing the upper bound glacial transition climate scenario Gu1-5os Gu2-5os Gu3-5os Daily climate input filename Rosalia.inp Spokane.inp Stjohn.inp Simulation period (begin date – end date) 01/1/51- 12/31/97 01/1/48- 12/31/97 01/1/64- 12/31/97 Air temperature (Celsius) Mean annual 9.0 9.2 9.9 Maximum daily 33.5 31.8 30.1 Minimum daily -25.4 -26.2 -26.0 Average annual precipitation (mm/year) Mean 454.9 406.2 432.1 Maximum 566.4 505.8 538.0 Minimum 405.8 362.4 385.5 Average annual snow fall (mm/year) Mean 67.5 74.3 44.0 Maximum 288.0 265.9 209.5 Minimum 19.1 25.6 13.7 Average annual evapotranspiration (mm/year) Mean 411.5 374.4 399.0 Maximum 773.8 770.4 751.0 Minimum 122.2 113.8 112.9 Average annual infiltrated surface- water run-on (mm/year) Mean 31.4 24.2 25.3 Maximum 9,092.6 7,044.8 6,308.7 Minimum 0.0 0.0 0.0 Average annual mean outflow (mm/year) 3.7 1.8 3.2 Average annual net infiltration (mm/year) Mean 29.7 21.2 23.0 Maximum 9,126.2 7,033.7 6,308.1 Minimum 0.0 0.0 0.0 Table 6-17. Estimation results for the glacial transition climate scenarios over the 123.7-km2 area of the infiltration model domain [mm, millimeters] [GS000308311221.005] Estimation results for glacial transition climate scenarios for total area of infiltration model domain Glacial transition climate scenario Lower bound Mean Upper bound Filename for spatial distribution results Glacialll.dat Glacialm.dat Glacialu.dat Mean annual air temperature (Celsius) 10.2 9.8 9.4 Average annual precipitation (mm/year) Mean 201.0 316.1 431.1 Maximum 250.3 393.5 536.8 Minimum 179.4 282.0 384.6 Average annual snow fall (mm/year) Mean 29.1 45.5 61.9 Maximum 109.4 181.9 254.5 Minimum 9.2 14.3 19.5 Average annual evapotranspiration (mm/year) Mean 194.6 294.8 395.0 Maximum 525.7 600.7 751.2 Minimum 73.6 94.9 116.3 Average annual infiltrated surface-water run-on (mm/year) Mean 2.2 14.6 27.0 Maximum 524.3 3,913.2 7,482.0 Minimum 0.0 0.0 0.0 Average annual outflow (mm/year) 0.0 1.5 2.9 Average annual net infiltration (mm/year) Mean 2.2 13.4 24.6 Maximum 370.3 3,902.5 7,489.3 Minimum 0.0 0.0 0.0 Table 6-18. Estimation results for the glacial transition climate scenarios over the 38.7-km2 area of the UZ flow and transport model domain [mm, millimeters] [GS000308311221.005] Estimation results for glacial transition climate scenarios for area of UZ flow and transport model domain Glacial transition climate scenario Lower bound Mean Upper bound Filename for spatial distribution results Glacialll.dat Glacialm.dat Glacialu.dat Average annual precipitation (mm/year) Mean 202.2 317.8 433.5 Maximum 231.7 364.3 496.8 Minimum 189.8 298.3 406.9 Average annual snow fall (mm/year) Mean 29.1 45.1 61.1 Maximum 75.1 122.0 168.9 Minimum 16.3 25.3 34.2 Average annual evapotranspiration (mm/year) Mean 195.2 293.5 391.8 Maximum 343.3 502.3 733.9 Minimum 76.9 99.4 121.9 Average annual infiltrated surface-water run-on (mm/year) Mean 1.7 15.6 29.6 Maximum 193.1 1,301.1 2,586.2 Minimum 0.0 0.0 0.0 Average annual outflow (mm/year) -0.1 -0.2 -0.3 Average annual net infiltration (mm/year) Mean 2.5 17.8 33.0 Maximum 219.2 1,282.9 2,555.0 Minimum 0.0 0.0 0.0 Table 6-19. Estimation results for the glacial transition climate scenarios for the 4.7-km2 area of the 1999 design potential repository area [mm, millimeters] [GS000308311221.005] Estimation results for glacial transition climate scenarios for area of potential repository Glacial transition climate scenario Lower bound Mean Upper bound Filename for spatial distribution results Glacialll.dat Glacialm.dat Glacialu.dat Average annual precipitation (mm/year) Mean 205.5 323.1 440.6 Maximum 212.4 333.8 455.3 Minimum 198.4 311.8 425.3 Average annual snow fall (mm/year) Mean 32.5 50.3 68.1 Maximum 42.0 65.2 88.3 Minimum 24.9 37.8 50.7 Average annual evapotranspiration (mm/year) Mean 197.5 287.8 378.1 Maximum 279.4 477.8 688.6 Minimum 171.0 219.3 265.3 Average annual infiltrated surface-water run-on (mm/year) Mean 1.4 12.0 22.5 Maximum 100.5 676.6 1,334.8 Minimum 0.0 0.0 0.0 Average annual outflow (mm/year) 0.3 8.0 15.6 Average annual net infiltration (mm/year) Mean 2.2 19.8 37.3 Maximum 116.3 591.0 1,181.4 Minimum 0.0 0.0 0.0 Table 7-1. Output Data Sets Generated in the Development and Application of the Net Infiltration Model Description Data Tracking Number Preliminary Estimates of Input Parameter Distributions Used for Infiltration Uncertainty GS000308311221.008 Analysis Preliminary Net Infiltration Modeling Results for 3 Climate Scenarios for FY99 GS000308311221.005 Template files for Uncertainty Analysis GS000308311221.011 Preliminary Developed Daily Climate Data from Tule Lake, California, Used for GS000308311221.010 Infiltration Uncertainty Analysis Rainfall/Runoff/Run-on 1999 Simulations GS000399991221.002 Preliminary Geospatial Input Data for INFIL V2.0 FY99 GS000308311221.004 Merged USGS Digital Elevation Model from Topopah Spring West and Busted Butte GS000308311221.006 7.5’ DEMs Yucca Mountain 1980-1995 Developed Daily Precipitation Record GS000208311221.001 Preliminary Developed Daily Climate Data for Potential Future Monsoon and Glacial GS000208311221.002 Transition Climates Using Records from Selected Analog Sites. Developed Matrix Hydrologic Properties Information MO0109HYMXPROP.001 ATTACHMENT IIFIGURES TOTAL PAGES : 43 Percolation Unsaturated Zone Recharge Saturated Zone / Net Transpiration Evaporation Precipitation Drainage Change in Storage Bedrock Soil Infiltration Run-onrunoff Redistribution Infiltration Boundary Figure 6-1. Field-scale water balance and processes controlling net infiltration (from Flint et al., 1996, Figure 3). Sublimation Net Infiltration Change in Root-Zone Water Content: If water content < water content at field capacity, change in water content = Rain + Run-on + Snowmelt - Evapotranspiration If water content < porosity > water content at field capacity, change in water content = Rain + Run-on + Snowmelt – Evapotranspiration - Net Infiltration Figure 6-2. The daily root-zone water-balance used to model net infiltration. Snowpack Run-on Snow Runoff Evapotranspiration Water Content Root-Zone Water Content Rain Snowmelt Geospatial Input Climate Input Location Root Zone Depth Initial Precipitation Elevation Vegetation Type Air Temperature Conditions Cloud Cover Geology Vegetation Cover Soil Type Stream Channels Water Content Day Number Input Potential Spatial- Temporal Estimation Evapo- Distribution transpiration Model Model Parameter Table Output Porosity Water Water Content Field Capacity Evapotranspiration Balance Residual Water Content Streamflow Soil Permeability Model Net Infiltration Bedrock Permeability Root Zone Coefficients Figure 6-3. Major components of the net-infiltration modeling process. 15.0 1993 1994 1995 2.5 5.0 7.5 DEPTH, INMETERS 0.05 0.10 0.15 0.20 0.25 0.30 WATER CONTENT, IN METERS PER METER Figure 6-4. Measured water-content profiles at borehole UZN-15 for 1993-95 (DTN: GS940708312212.011, GS941208312212.017, GS950808312212.001, GS960108312212.001). 10.0 12.5 alluv bedrock cccccrrssscstsrssrrrrtttstcctctct ttcctcccctcc ccccr rssssrct rrssrssrctcccccct tcccccccccctcct BOREHOLE TOPOGRAPHIC POSITION Figure 6-5. Estimates of average net-infiltration rates at Yucca Mountain calculated using changes in measured water-content profiles obtained for the period 1989–95 from a network of monitoring boreholes (DTN: GS960508312212.008), compared to depth of alluvium at each borehole (DTN: GS960508312212.007). 0 20 40 60 80 0 5 10 15 20 ium lll;;il;iDepth of alluvCacuated flux DOWNWARD FLUX, IN MILLIMETERS PER YEAR DEPTH OF ALLUVIUM, IN METERS BELOW LAND SURFACE c, Channe t, Terrace s, Sdesope r, Rdgetop (A) FEB MAR APR MAY JUN JUL AUG SEP (B) FEB MAR APR MAY JUN JUL AUG SEP ANL-NBS-HS-000032 REV 00 ICN 02 II–7 October 2001 0.01 1 10 ii0.1 100 1,000 WATER POTENTIAL, IN -BARS 7.0 cm 15.0 cm 36.5 cm 73.7 cm Probe depth s from ground surface Depth to bedrock is 73.7 centmeters 0 0 2 4 6 8 10 12 0.05 0.1 0.15 0.2 0.25 0.3 WATER CONTENT, IN METERS PER METER Selected Data Change in Water Content 24-hr Data CHANGE IN WATER CONTENT, IN MILLIMETERS PER DAY Figure 6-6. Graphs of water-potential measurements near borehole USW UZ-N15 using heat dissipation probes, (DTN: GS960908312211.004), (A) measured at four depths for 1995 and (B) used to calculate flux. Open input/output files Provides daily values of turbidity, Call Atmospheric Input File circumsolar radiation, precipitable water, ozone, and albedo Day Loop Read Location File Call Energy Balance Subroutine Radiation, air temperature, energy load Call Precipitation Distribution Calculates precipitation for Subroutine elevation of grid location if precipitation, adjust energy balance based on volume of precipitation Call Snow Subroutine If air temperature < 0 C then add If air temperature > 0 C precipitation to snowpack and snowpack > 0 C then generate snowmelt and sublimation Call Root-Zone Water Storage Subroutine if precipitation > bulk permeability of soil then add excess to runoff storage Soil Layer Water Redistribution Loop Calculate soil water content for the soil layer If precipitation > 0 or snowmelt > 0, add to soil water content If soil water content > field capacity, add excess to next layer Last soil layer? No Yes If total soil water content > porosity, add excess to runoff storage If total soil water content > total field capacity, add excess to storage term and excess > 40 mm drains into bedrock Subtract evapotranspiration from soil water content of all layers, storage term, and bedrock If soil water content > bedrock storage Drain as net infiltration at bulk permeability of bedrock No End of Locations? Yes Runoff routing of runoff storage terms for all grid locations, recalculate soil water content and storage terms. Calculate total water balance No End of Days? Yes Average results, send output to files, close all files Figure 6-7. Flow chart of the model algorithm used for simulating net infiltration. Iinitializaton Control File leLocation Input Fi 0.3 0.4 0.5 0.6 0.7 0.8 0.9 -10 0 10 l (1977) s/(Ss+gamma) Sss+gamma) 20 30 40 Air Temperature (Celsius) Table A.3, CampbelModeled S/(S Figure 6-8. Relative effect of air temperature change on the modeled s/(s+.) term of the Priestley- Taylor equation used for estimating potential evapotranspiration. (DTN: GS000300001221.009) Explanation Potential repository boundary ExploratoryStudies Facility main drift UZ flow and transport model area 100 meter elevation contour neutronS logging boreholes # #S #S#S#S#S#S#S#S#S#S #S #S #S#S#S#S#S#S #S#S#S#S#S#S#S#S #S #S#S# S #S#S#S#S#S #S #S#S #S#S#S#S#S#S#S# S#S#S#S#S#S#S# S# S#S #S#S#S#S #S#S #S#S #S#S #S#S#S #S #S#S#S#S#S#S#S #S# S#S#S#S #S#S#S#S#S#S#S #S#SPagany Wash Forty-MileWash YuccaWash Drill Hole Wash SolitarioCanyon JetRidge PlugHillDuneWash Borehole N15 Borehole N63 Borehole N50 Figure 6-9. Yucca Mountain DEM used to define the geospatial-input parameters and watershed modeling domains (DTN: GS000308311221.006). Flow la tio n f l c ells) 0 < 2 2 - 5 5 - 10 10 -2 0 20 -5 0 5 0 -100 1 00 -1,000 1 ,00 0 -10,00 0 1 0 ,0 00 - 50 0,00 0 ( Ac c u m u n um be r o up s t r e a m m ode Figure 6-10. Number of upstream cells indicating the numerical channel network. (see Attachment XI) 546,000 548,000 550,000 552,000 554,000 UTM Easting (meters) elevation contour interval = 50 meters 0 200 400 600 800 111114,072,000 4,074,000 4,076,000 4,078,000 4,080,000 4,082,000 4,084,000 4,086,000 UTM Northing (meters) ,000 ,200 ,400 ,600 ,800 2,000 Number of upstream model cells Figure 6-11. Isolation of the drainage networks overlying the area of the UZ flow and transport model. (see Attachment XI) Watershed modeling domains Yucca Wash Drill Hole Wash Dune Wash Solitario Canyon #1 Plug Hill Jet Ridge #1 Jet Ridge #2 Jet Ridge #3 Solitario Canyon #2 4,072,000 4,074,000 4,076,000 4,078,000 4,080,000 4,082,000 4,084,000 4,086,000 UTM Northing (meters) Figure 6-12. Location of 10 watershed model domains included in the composite watershed model area overlying the area of the UZ flow and transport model. (see Attachment XIII) 546,000 548,000 550,000 552,000 554,000 Solitario UTM Easting (meters) Canyon #4 elevation contour interval = 50 meters la s s id s ic H a plo c alcids ic H a plo c am bi ds ic T o rrio rthent s ic H a pl oca m bids ic T o rrip sa m m e n ts ic H a pl a rgi ds ic C a lcia r g id s D iSo i l C Ty pic A rgidur Ty p Ty p Ty p Lit h Ty p Lit h Ty p Ro c k s t u rbe d G rou nd Figure 6-13. Recombined soil classes used in the 1996 net-infiltration model (from Flint et al., 1996, Figure 14; DTN: GS000308311221.004). lil iScott and Bonk (1984) Sawyer et a. (1995) Day et al. (1998) GIS coverages of geology used to defne modenput parameters Figure 6-14. Overlay of the three geologic maps used to define rock types underlying the root zone and included in the bottom root-zone layer (Day et al., 1998, DTN: GS971208314221.003; Scott and Bonk, 1984, DTN: MO0003COV00095.000; Sawyer et al., 1995, DTN: GS000300001221.010) / <10 10 -20 20 -50 50 -100 100 -200 200 -500 500 -1,000 1,000 -5,000 5,000 -100,000 >100,000 Field-scale saturated permeability underlying the root zone (mmyear) Figure 6-15. Estimated field-scale saturated hydraulic conductivity of bedrock or soils underlying the root zone (DTN: MO0109HYMXPROP.001 ). 0.01 -0.1 0.1 -0.2 0.2 -0.3 0.3 -0.4 0.4 -0.5 0.5 -1.0 1.0 -3.0 3.0 -6.0 >6.0 Estimated soil depth (meters) Figure 6-16. Estimated soil depth (DTN: GS960508312212.007) using the 1996 soil-depth class map and calculated land-surface slope (DTN: GS000308311221.004). ANL-NBS-HS-000032 REV 00 ICN 02 II–18 October 2001 40 -100 100 -200 200 -1,600 1,600 -1,700 1,700 -1,800 1,800 -1,900 1,900 -2,000 Root-zone water-storage capacity (mm) Figure 6-17. Total water-storage capacity of the modeled root zone, including bedrock and soil layers (DTN: GS000308311221.004). 0 10 20 30 40 50 60 1 /1 //1 //2 //2 //3 //3 //4 //4 /9480 1 82 1 84 1 86 1 88 1 90 1 92 1 Da te Figure 6-18. Developed 1980–95 daily precipitation record used as input for model calibration (DTN: GS000208311221.001). Calibration and testing watershed UTM Northing (meters) 4,072,000 4,074,000 4,076,000 4,078,000 4,080,000 4,082,000 4,084,000 4,086,000 models Wren Wash Upper Drill Hole Wash Upper Pagany Wash Lower Pagany Wash Split Wash T1 Wash Stream- flow 546,000 548,000 550,000 552,000 554,000 gages UTM Easting (meters) Figure 6-19. Location of stream-gaging sites and calibration watersheds defined by the gaging sites (DTN: GS960908312121.001, GS941208312121.001). 1984 1986 1988 1990 1992 1994 (B)0.25 0.2 0.15 0.1 0.05 0 1991 1992 1993 1994 1995 (A) USW UZ-N50 and (B) UE-25 UZN #63 (DTN: GS940708312212.011, GS941208312212.017, GS950808312212.001, GS960108312212.001). ANL-NBS-HS-000032 REV 00 ICN 02 II–21 October 2001 0.05 0.1 0.15 0.2 0.25 VOLUMETRIC WATER CONTENT Simulated MeasuredUSW UZ-N50 (A) VOLUMETRIC WATER CONTENT Simulated MeasuredUE-25 UZN #63 Figure 6-20. Graphs of comparisons of simulated net infiltration using water content in neutron boreholes 500 Simulated Simulated Measured at (no enhancement) (30-percent enhancement)weather stations400 300 200 100AVERAGE ANNUAL PRECIPITATION, IN MILLIMETERS0 1984 1986 1988 1990 1992 1994 1996 Figure 6-21. Graph of average annual precipitation simulated at each borehole using precipitation record for 1980-95 (DTN: GS000208311221.001), and simulated with a 30-percent enhancement in the channel grid blocks only, compared to developed precipitation record distributed geostatistically to each borehole. Title: Simulation of Net Infiltration for Modern and Potential Future Climates ANL-NBS-HS-000032 REV 00 ICN 02II–23October 200130501002003000.010.11101001,000PRECIPITATION, IN MILLIMETERSNET NFILTRATION, IN MILLIMETERS PER YEAREXPLANATIONMean annual net infiltration (measured) Simulated (no enhancement) Simulated (30-percent enhancement) Regression (measured) Regression (no enhancement) Regression (30-percent enhancement) Figure 6-22.Graph of precipitation (DTN: GS000208311221.002) relative to infiltration simulated for eachborehole with no channel-enhancement factor and with 30-percent channel-enhancementfactor, and mean annual infiltration (DTN: GS960508312212.008) for all boreholes. / Average precipitation rate (mmyear) 140 -160 160 -180 180 -200 200 -220 220 -240 240 -260 > 260 Figure 6-23. Estimated precipitation (mm/year) for the mean modern climate scenario (DTN: GS000208311221.001). / Evapotranspiration rate (mmyear) 0 -140 140 - 160 160 - 170 170 - 180 180 - 190 190 - 200 200 - 220 220 - 240 240 - 300 300 - 400 400 - 700 Figure 6-24. Estimated evapotranspiration (mm/year) for the mean modern climate scenario (DTN: GS000308311221.005). If/) 0 nfiltrated surace-w ater run-on (m m year0-1 1 -5 5 -10 10 - 2 0 20 - 5 0 50 - 1 0 0 10 0 -50 0 50 0 -1, 000 > 1 ,0 0 0 Figure 6-25. Estimated surface-water run-on depth (mm/year) for the mean modern climate scenario (DTN: GS000308311221.005). li/ ) 0 < 1 10 20 20 50 50 100 Me a n mo d e rn c m a te ne t In filt r a tio n (m m y e a r 1 -5 5 -1 0 10 0 -50 0 50 0 -1, 000 > 1 ,0 0 0 Figure 6-26. Estimated net infiltration (mm/year) for the mean modern climate scenario (DTN: GS000308311221.005). ANL-NBS-HS-000032 REV 00 ICN 02 II–28 October 2001 0 0 -1 1 -5 5 -10 10 - 20 20 - 50 50 - 100 100 - 500 500 - 1,000 > 1,000 Lower bound modern climate net infiltration (mm/year) Figure 6-27. Estimated net infiltration (mm/year) for the lower bound modern climate scenario (DTN: GS000308311221.005). l0 Upper bound modern cimate net Infiltration (mm/year) 0 -1 1 -5 5 -10 10 - 20 20 - 50 50 - 100 100 -500 500 -1,000 > 1,000 Figure 6-28. Estimated net infiltration (mm/year) for the upper bound modern climate scenario (DTN: GS000308311221.005). ANL-NBS-HS-000032 REV 00 ICN 02 II–30 October 2001 0 cli/ 0 -1 1 -5 5 -10 10 -20 20 -50 50 -100 100 -500 500 -1,000 > 1,000 Mean monsoon mate net infiltration (mmyear) Figure 6-29. Estimated net infiltration (mm/year) for the mean monsoon climate scenario (DTN: GS000308311221.005). net iilion /) 0 Upper bound monsoon climate nftrat(mmyear0 -1 1 -5 5 -10 10 -20 20 -50 50 -100 100 -500 500 -1,000 > 1,000 Figure 6-30. Estimated net infiltration (mm/year) for the upper bound monsoon climate scenario (DTN: GS000308311221.005). iin f t f t / ) 0 U ppe r b o u n d m ons o o n clm at e ilt r a e d su r ac e-w a e r r u n-on (m m y e a r 0 -1 1 -5 5 -10 10 - 20 20 - 50 50 - 100 100 -50 0 500 -1, 000 > 1 ,0 0 0 Figure 6-31. Infiltrated surface-water run-on depth (mm/year) for the upper bound monsoon climate scenario (DTN: GS000308311221.005). ial itilii(mm/) 280 -290 290 -300 300 -310 310 -320 320 -330 330 -340 340 -360 360 -380 380 -400 Mean glactranson cmate precipitaton year Figure 6-32. Precipitation (mm/year) for the mean glacial transition climate scenario (DTN: GS000208311221.002). 20 - 40 40 - 60 60 - 80 80 - 100 l ilt e tit f a ll /) 0 -2 0 100 -12 0 120 -14 0 140 -19 0 M e an glacia tra n s tio n c im a w a e r equ v ale n sn o w (m m y e a r Figure 6-33. Water-equivalent snowfall depth (mm/year) for the mean glacial transition climate scenario (DTN: GS000308311221.005). lac ia l tition c littira te /) 0 -2 0 0 20 0 -2 6 0 26 0 -2 8 0 28 0 -2 9 0 29 0 -3 0 0 30 0 -3 2 0 32 0 -3 4 0 34 0 -4 0 0 40 0 -6 0 0 M e an g ra n s m ate e v ap o r a ns pir a o n (m m y e a r Figure 6-34. Evapotranspiration (mm/year) for the mean glacial transition climate scenario (DTN: GS000308311221.005). 0 10 20 20 50 50 100 In ff t/) 0 -1 1 -5 5 -1 0 10 0 -50 0 50 0 -1, 00 0 > 1 ,0 0 0 iltr a te d su r ac e -w a e r r u n-on (m m y e a r Figure 6-35. Estimated infiltrated surface-water run-on depth (mm/year) for the mean glacial transition climate scenario (DTN: GS000308311221.005). 0 102050ia l itt in filt/) 0 -1 1 -5 5 -1 0 -2 0 -5 0 -1 00 10 0 -5 0 0 50 0 -1 , 00 0 > 1 ,0 0 0 M ean glac tr a n s tio n c lim a e n e ra tio n (m m y e a r Figure 6-36. Estimated net infiltration (mm/year) for the mean glacial transition climate scenario (DTN: GS000308311221.005). 0 10 20 20 50 50 g lia l tition clitt ti/) 0 -1 1 -5 5 -10 10 0 10 0 -5 0 0 50 0 -1 , 00 0 > 1 ,0 0 0 Lo w e r bo un d a c ran s m a e n e in filtra o n (m m y e a r Figure 6-37. Estimated net infiltration (mm/year) for the lower bound glacial transition climate scenario (DTN: GS000308311221.005). 0 10 20 50 g liiit sur f t/) 0 -1 1 -5 5 -1 0 2 0 5 0 1 0 0 1 00 - 500 > 5 0 0 Lo w e r b o un d a c a l tr a n s tio n n filr a te d ace w a e r r u n-on (m m y e a r Figure 6-38. Estimated infiltrated surface-water run-on depth (mm/year) for the lower bound glacial transition climate scenario (DTN: GS000308311221.005). 0 glaciiclion /) 0 -1 1 -5 5 -10 10 - 20 20 - 50 50 - 100 100 -500 500 -1,000 > 1,000 Upper bound al transtion imate net infiltrat(mmyear Figure 6-39. Estimated net infiltration (mm/year) for the upper bound glacial transition climate scenario (DTN: GS000308311221.005). 0 glial iticliil/ 0 -1 1 -5 5 -10 10 -20 20 -50 50 -100 100 -500 500 -1,000 > 1,000 Upper bound actranson mate Inftrated surface water run-on (mmyear) Figure 6-40. Estimated infiltrated surface-water run-on depth (mm/year) for the upper bound glacial transition climate scenario (DTN: GS000308311221.005). Figure 6-41. Comparison of INFIL V2.0 simulated average net-infiltration rates (DTN: GS000308311221.005) at Yucca Mountain (upper bound, lower bound, and mean for three climates) with an estimate of the average Holocene recharge rate for the saturated zone at Yucca Mountain [CRWMS M&O, 2000c] and with estimates of recharge in the southern Great Basin obtained using alternative methods (Maxey and Eakin, 1950; Lichty and McKinley, 1995; Winograd, 1981). Model Comparison 0.1 1 10 100 1000 150 200 250 300 350 400 450 500 550 600 650 Precipitation (mm/year) Maxey and Eakin (estimated recharge) Modern (INFIL simulated net infiltration) Monsoon (INFIL simulated net infiltration) Glacial Transition (INFIL simulated net infiltration) Lichty and McKinley (estimated recharge) Winograd (estimated recharge) CRWMS M&O 2000c (chloride mass balance) 1.E+03 1.E+05 1.E+07 1.E+09 1.E+04 1.E+06 1.E+08 1.E+10 Average Annual Precipitation, in m3 Maxey-Eakin INFIL 1980-1995 Calibration Record Input INFIL Rosalia Analog Climate Record Input Chloride Mass Balance Figure 6-42. Comparison of various methods to estimate recharge in the Death Valley region and Yucca Mountain with model results from INFIL V2.0 (DTN: GS000308311221.005), as a function of average annual precipitation. ATTACHMENT III YUCCA MOUNTAIN 1980-95 DEVELOPED DAILY PRECIPITATION RECORD TOTAL PAGES: 30 Yucca Mountain 1980-95 Developed Daily Precipitation Record 1. Statement of Intended Use for the Data The purpose of these data is to provide a temporal record of precipitation at one point on Yucca Mountain for the time period 1980 through 1995. These data represent a point near the center of Yucca Mountain approximately 1400 m in elevation and will be used to spatially distribute precipitation over the site area using correlations with elevation in order to (1) calibrate the net infiltration model, and (2) develop net infiltration results for the modern climate scenarios, which are used as input for UZ ground-water flow and transport models for TSPA. 2. General Information Pertaining to the Data Set The climate input file used for model calibration, MOD3-PPT.DAT, is the same developed daily precipitation record that was used for calibration of the original 1996 (INFIL V1.0) net infiltration model for Yucca Mountain (Flint et al., 1996, Figure 19, DTN: GS960908312211.003). The file MOD3-PPT.DAT consists of daily precipitation estimates only and was developed using source data of daily precipitation records from 1980 through 1995. A. Source data (all data used is shown in Excel file MOD3-PPT.xls) USGS Yucca Mountain precipitation data from weatherstations WX1 and WX3. GS960908312111.004 (1995 water year) GS970108312111.001 (Oct. 1- Dec. 3, 1995) GS000208312111.003 (1987-1989, non-Q) GS000208312111.001 (1989-1994) Nevada Test Site (NTS) precipitation data for stations 4JA, 40MN, Rock Valley, Cane Spring, Mid Valley and Tippipah Spring #2. These data are available in DTN: GS000200001221.002. National Weather Service (NWS) stations at Beatty 8N and Amargosa Farms, from the National Climate Data Center and available through EarthInfo (see information provided in DTN: GS000100001221.001). B. Development of daily precipitation record The developed record of daily precipitation is only an approximate representation of actual conditions over the general location and ground surface elevation of the potential repository area. Daily precipitation estimates for 1988 through 1995 were developed using the mean of the data from the Yucca Mountain weatherstations. For 1980 through 1987, daily precipitation was estimated using a linear interpolation model and available precipitation records from the six Nevada Test Site (NTS) monitoring sites and the two National Weather Service (NWS) monitoring sites located near Yucca Mountain. The model was developed using linear regression of a weighted mean daily precipitation calculated from the eight stations against the mean calculated from the two USGS weather stations for the period July 17, 1987 through September 30, 1994 (this is the period for which the two sets of records overlapped). Table III-1 is the developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0. There is an EXCEL spreadsheet used to generate the developed data that is available in DTN: GS000208311221.001, and an identical spreadsheet formatted to display the formulas that can be printed out as hard copies. Mod3-ppt1.xls: EXCEL spreadsheet used to perform calculations for developing mod3- ppt.dat, with values in cells shown. Mod3-ppt2.xls: EXCEL spreadsheet used to perform calculations for developing mod3- ppt.dat, with formulas in cells shown. 3. Spreadsheet calculations Calculations in the spreadsheet MOD3-PPT.xls are done following a series of steps outlined in the first sheet of the file, and reiterated here. Step 1: average daily precipitation is calculated for USGS weather stations WX1 and WX3 for the period July 17, 1987 through September 30, 1994. For gaps in the record, a value of zero is estimated. Step 2: Average annual precipitation is calculated for the six NTS stations and two NWS stations for all records beginning on July 17, 1987 and ending on September 30, 1994. This period of time coincides with the period for which precipitation data is available for USGS weather stations WX1 and WX3 (either stations). For all eight stations, the ratio Bi =AAPo/AAPi is calculated, where AAPi = average annual precipitation for the period July 17, 1987 – July 30, 1994 for station i, and AAPo = mean average annual precipitation for USGS weather stations WX1 and WX3 (calculated in step 1), rounded to the nearest millimeter. The ratio is then used to scale the daily precipitation records for all eight stations using PPTi * = Bi(PPTi), where Bi is the scaling factor, PPTi is the original daily precipitation record for station i, and PPTi is the adjusted daily precipitation record. The scaling function is applied to all eight stations for 1/1/80 through 12/31/94. Step 3: An inverse-distance-squared interpolation is performed to estimate the mean daily precipitation for WX1 and WX3 for the period July 17, 1987 – July 30, 1994. The inverse distance squared interpolation involves the calculation of a linear weighting factor based on the distance between locations. A central location on Yucca Mountain used with UTM coordinates of 548,553 m easting, 4,078,230 m northing. The equation is: Weighting factori = (1/di2)/(Si (1/(di i2)) where di is the distance of station i from the central location having the indicated coordinates. Station coordinates, calculated distances, and calculated weighting factors are listed in the spreadsheet. Step 4: The inverse distance squared model defined in step 3 is used to calculate the daily precipitation for the location defined in step 3. Step 5: A linear model, based on a regression of measured precipitation vs. the adjusted daily precipitation record (the inverse-distance-squared interpolated precipitation), is applied to the results of the inverse-distance-squared interpolation for the period January 1, 1980 through September 30, 1994 using: PPTYM = 0.946546 * ([(1/di2)/Si (1/(di2))] PPTi*)+0.0821 where PPTYM is the estimated daily precipitation amount (to the nearest millimeter only) for the central location defined by the coordinates in step 3, and PPTi* is the scaled daily precipitation amount for station i. The results of the linear model are used to define the Yucca Mountain daily precipitation estimates for January 1, 1980 through May 11, 1989 (file mod3-ppt.day). The results of step 1 (to the nearest millimeter only) are used to define the Yucca Mountain daily precipitation estimates for May 11, 1989 through October 1, 1995 (file mod3-ppt.dat). Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0. (data source: GS000208311221.001) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 80 1 0 80 74 0 80 147 0 80 220 0 80 293 0 80 2 0 80 75 0 80 148 0 80 221 0 80 294 0 80 3 0 80 76 0 80 149 0 80 222 0 80 295 0 80 4 0 80 77 0 80 150 0 80 223 0 80 296 0 80 5 0 80 78 0 80 151 0 80 224 0 80 297 0 80 6 0 80 79 0 80 152 0 80 225 0 80 298 0 80 7 0 80 80 0 80 153 0 80 226 0 80 299 0 80 8 0 80 81 0 80 154 0 80 227 0 80 300 0 80 9 13 80 82 0 80 155 0 80 228 0 80 301 0 80 10 0 80 83 0 80 156 0 80 229 0 80 302 0 80 11 8 80 84 1 80 157 0 80 230 0 80 303 0 80 12 0 80 85 0 80 158 0 80 231 0 80 304 0 80 13 1 80 86 0 80 159 0 80 232 0 80 305 0 80 14 0 80 87 0 80 160 0 80 233 0 80 306 0 80 15 0 80 88 0 80 161 0 80 234 0 80 307 0 80 16 0 80 89 0 80 162 0 80 235 0 80 308 0 80 17 0 80 90 0 80 163 0 80 236 0 80 309 0 80 18 6 80 91 0 80 164 0 80 237 0 80 310 0 80 19 2 80 92 0 80 165 0 80 238 1 80 311 0 80 20 0 80 93 0 80 166 0 80 239 0 80 312 0 80 21 0 80 94 0 80 167 0 80 240 0 80 313 0 80 22 0 80 95 0 80 168 0 80 241 0 80 314 0 80 23 0 80 96 0 80 169 0 80 242 0 80 315 0 80 24 0 80 97 0 80 170 0 80 243 0 80 316 0 80 25 0 80 98 0 80 171 0 80 244 0 80 317 1 80 26 0 80 99 0 80 172 0 80 245 0 80 318 0 80 27 0 80 100 0 80 173 0 80 246 0 80 319 0 80 28 2 80 101 0 80 174 0 80 247 0 80 320 0 80 29 11 80 102 0 80 175 0 80 248 0 80 321 0 80 30 1 80 103 0 80 176 0 80 249 0 80 322 0 80 31 0 80 104 0 80 177 0 80 250 0 80 323 0 80 32 0 80 105 0 80 178 0 80 251 3 80 324 0 80 33 0 80 106 0 80 179 0 80 252 4 80 325 0 80 34 0 80 107 0 80 180 0 80 253 3 80 326 0 80 35 0 80 108 0 80 181 0 80 254 0 80 327 0 80 36 0 80 109 0 80 182 3 80 255 0 80 328 0 80 37 0 80 110 0 80 183 6 80 256 0 80 329 0 80 38 0 80 111 0 80 184 0 80 257 0 80 330 0 80 39 0 80 112 0 80 185 0 80 258 0 80 331 0 80 40 0 80 113 0 80 186 0 80 259 0 80 332 0 80 41 0 80 114 1 80 187 0 80 260 0 80 333 0 80 42 0 80 115 0 80 188 0 80 261 0 80 334 0 80 43 0 80 116 0 80 189 0 80 262 0 80 335 0 80 44 2 80 117 0 80 190 0 80 263 0 80 336 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 80 45 12 80 118 0 80 191 0 80 264 0 80 337 0 80 46 0 80 119 1 80 192 0 80 265 0 80 338 0 80 47 8 80 120 3 80 193 0 80 266 0 80 339 0 80 48 5 80 121 3 80 194 0 80 267 0 80 340 0 80 49 1 80 122 8 80 195 0 80 268 0 80 341 0 80 50 7 80 123 0 80 196 0 80 269 0 80 342 0 80 51 0 80 124 0 80 197 0 80 270 0 80 343 0 80 52 0 80 125 0 80 198 0 80 271 0 80 344 0 80 53 0 80 126 0 80 199 0 80 272 0 80 345 0 80 54 0 80 127 0 80 200 0 80 273 0 80 346 0 80 55 0 80 128 0 80 201 0 80 274 0 80 347 0 80 56 0 80 129 0 80 202 0 80 275 0 80 348 0 80 57 0 80 130 0 80 203 0 80 276 0 80 349 0 80 58 0 80 131 0 80 204 0 80 277 0 80 350 0 80 59 0 80 132 0 80 205 2 80 278 0 80 351 0 80 60 0 80 133 0 80 206 0 80 279 0 80 352 0 80 61 0 80 134 0 80 207 0 80 280 0 80 353 0 80 62 13 80 135 3 80 208 1 80 281 0 80 354 0 80 63 10 80 136 0 80 209 0 80 282 0 80 355 0 80 64 0 80 137 0 80 210 0 80 283 0 80 356 0 80 65 2 80 138 0 80 211 0 80 284 0 80 357 0 80 66 8 80 139 0 80 212 1 80 285 0 80 358 0 80 67 5 80 140 0 80 213 0 80 286 0 80 359 0 80 68 0 80 141 0 80 214 0 80 287 0 80 360 0 80 69 0 80 142 0 80 215 0 80 288 0 80 361 0 80 70 0 80 143 0 80 216 0 80 289 0 80 362 0 80 71 0 80 144 1 80 217 0 80 290 0 80 363 0 80 72 0 80 145 0 80 218 0 80 291 0 80 364 0 80 73 0 80 146 0 80 219 0 80 292 0 80 365 0 80 366 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 81 1 0 81 74 0 81 147 12 81 220 0 81 293 0 81 2 0 81 75 0 81 148 0 81 221 0 81 294 0 81 3 0 81 76 0 81 149 0 81 222 0 81 295 0 81 4 0 81 77 0 81 150 0 81 223 1 81 296 0 81 5 0 81 78 5 81 151 0 81 224 1 81 297 0 81 6 0 81 79 2 81 152 0 81 225 0 81 298 0 81 7 0 81 80 0 81 153 0 81 226 1 81 299 0 81 8 0 81 81 0 81 154 0 81 227 0 81 300 0 81 9 0 81 82 0 81 155 0 81 228 0 81 301 0 81 10 0 81 83 0 81 156 0 81 229 0 81 302 0 81 11 0 81 84 0 81 157 0 81 230 0 81 303 0 81 12 0 81 85 2 81 158 0 81 231 0 81 304 0 81 13 0 81 86 0 81 159 0 81 232 0 81 305 0 81 14 0 81 87 0 81 160 0 81 233 0 81 306 0 81 15 0 81 88 0 81 161 0 81 234 0 81 307 0 81 16 0 81 89 0 81 162 0 81 235 0 81 308 0 81 17 0 81 90 0 81 163 0 81 236 0 81 309 0 81 18 0 81 91 0 81 164 0 81 237 0 81 310 0 81 19 0 81 92 0 81 165 0 81 238 0 81 311 0 81 20 0 81 93 0 81 166 0 81 239 0 81 312 0 81 21 0 81 94 0 81 167 0 81 240 0 81 313 0 81 22 0 81 95 0 81 168 0 81 241 0 81 314 0 81 23 0 81 96 0 81 169 0 81 242 0 81 315 0 81 24 0 81 97 0 81 170 0 81 243 0 81 316 0 81 25 0 81 98 0 81 171 0 81 244 0 81 317 0 81 26 0 81 99 0 81 172 0 81 245 0 81 318 0 81 27 0 81 100 0 81 173 0 81 246 0 81 319 0 81 28 5 81 101 0 81 174 0 81 247 0 81 320 0 81 29 6 81 102 0 81 175 0 81 248 0 81 321 0 81 30 0 81 103 0 81 176 0 81 249 1 81 322 0 81 31 0 81 104 0 81 177 0 81 250 2 81 323 0 81 32 0 81 105 0 81 178 0 81 251 5 81 324 0 81 33 0 81 106 0 81 179 0 81 252 2 81 325 0 81 34 0 81 107 0 81 180 0 81 253 0 81 326 0 81 35 0 81 108 2 81 181 0 81 254 0 81 327 0 81 36 0 81 109 0 81 182 0 81 255 1 81 328 0 81 37 0 81 110 0 81 183 0 81 256 0 81 329 0 81 38 0 81 111 0 81 184 0 81 257 0 81 330 2 81 39 1 81 112 0 81 185 0 81 258 0 81 331 2 81 40 1 81 113 0 81 186 0 81 259 0 81 332 9 81 41 0 81 114 0 81 187 0 81 260 0 81 333 3 81 42 0 81 115 0 81 188 0 81 261 0 81 334 0 81 43 0 81 116 0 81 189 0 81 262 0 81 335 0 81 44 0 81 117 0 81 190 0 81 263 0 81 336 0 81 45 0 81 118 0 81 191 0 81 264 0 81 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 81 46 0 81 119 0 81 192 0 81 265 0 81 338 0 81 47 0 81 120 0 81 193 0 81 266 0 81 339 0 81 48 0 81 121 0 81 194 0 81 267 0 81 340 0 81 49 0 81 122 0 81 195 0 81 268 0 81 341 0 81 50 0 81 123 0 81 196 0 81 269 0 81 342 0 81 51 0 81 124 0 81 197 0 81 270 0 81 343 0 81 52 0 81 125 0 81 198 0 81 271 0 81 344 0 81 53 0 81 126 0 81 199 0 81 272 0 81 345 0 81 54 0 81 127 0 81 200 0 81 273 0 81 346 0 81 55 0 81 128 0 81 201 0 81 274 0 81 347 0 81 56 0 81 129 0 81 202 0 81 275 2 81 348 0 81 57 2 81 130 0 81 203 0 81 276 0 81 349 0 81 58 0 81 131 0 81 204 0 81 277 0 81 350 0 81 59 0 81 132 0 81 205 0 81 278 0 81 351 0 81 60 16 81 133 0 81 206 0 81 279 0 81 352 0 81 61 5 81 134 1 81 207 0 81 280 0 81 353 0 81 62 0 81 135 1 81 208 0 81 281 0 81 354 0 81 63 0 81 136 0 81 209 0 81 282 0 81 355 0 81 64 8 81 137 0 81 210 0 81 283 0 81 356 0 81 65 2 81 138 0 81 211 0 81 284 0 81 357 0 81 66 0 81 139 0 81 212 0 81 285 0 81 358 0 81 67 0 81 140 0 81 213 0 81 286 0 81 359 0 81 68 0 81 141 0 81 214 0 81 287 0 81 360 0 81 69 0 81 142 0 81 215 0 81 288 0 81 361 0 81 70 0 81 143 0 81 216 0 81 289 0 81 362 0 81 71 0 81 144 0 81 217 0 81 290 0 81 363 0 81 72 0 81 145 0 81 218 0 81 291 0 81 364 0 81 73 0 81 146 1 81 219 0 81 292 0 81 365 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 82 1 1 82 74 2 82 147 0 82 220 0 82 293 0 82 2 0 82 75 0 82 148 0 82 221 0 82 294 0 82 3 0 82 76 30 82 149 0 82 222 0 82 295 0 82 4 0 82 77 7 82 150 0 82 223 0 82 296 0 82 5 2 82 78 1 82 151 0 82 224 2 82 297 0 82 6 0 82 79 0 82 152 0 82 225 0 82 298 0 82 7 0 82 80 0 82 153 0 82 226 0 82 299 1 82 8 0 82 81 0 82 154 0 82 227 0 82 300 0 82 9 0 82 82 0 82 155 0 82 228 0 82 301 0 82 10 0 82 83 0 82 156 0 82 229 0 82 302 0 82 11 0 82 84 0 82 157 0 82 230 2 82 303 1 82 12 0 82 85 1 82 158 0 82 231 0 82 304 0 82 13 0 82 86 0 82 159 0 82 232 0 82 305 0 82 14 0 82 87 0 82 160 0 82 233 0 82 306 0 82 15 0 82 88 0 82 161 0 82 234 3 82 307 0 82 16 0 82 89 0 82 162 0 82 235 3 82 308 0 82 17 0 82 90 0 82 163 0 82 236 1 82 309 0 82 18 0 82 91 7 82 164 0 82 237 0 82 310 0 82 19 0 82 92 0 82 165 0 82 238 0 82 311 0 82 20 5 82 93 0 82 166 0 82 239 0 82 312 0 82 21 1 82 94 0 82 167 0 82 240 0 82 313 7 82 22 0 82 95 0 82 168 0 82 241 0 82 314 6 82 23 0 82 96 0 82 169 2 82 242 0 82 315 0 82 24 0 82 97 0 82 170 0 82 243 0 82 316 0 82 25 0 82 98 0 82 171 0 82 244 0 82 317 0 82 26 0 82 99 0 82 172 0 82 245 0 82 318 0 82 27 0 82 100 0 82 173 0 82 246 0 82 319 0 82 28 0 82 101 3 82 174 0 82 247 0 82 320 0 82 29 0 82 102 0 82 175 0 82 248 0 82 321 0 82 30 0 82 103 0 82 176 0 82 249 0 82 322 0 82 31 0 82 104 0 82 177 0 82 250 0 82 323 0 82 32 0 82 105 0 82 178 0 82 251 0 82 324 0 82 33 0 82 106 0 82 179 0 82 252 1 82 325 0 82 34 0 82 107 0 82 180 0 82 253 3 82 326 1 82 35 0 82 108 0 82 181 0 82 254 1 82 327 1 82 36 0 82 109 0 82 182 0 82 255 0 82 328 0 82 37 0 82 110 0 82 183 0 82 256 0 82 329 0 82 38 0 82 111 0 82 184 0 82 257 0 82 330 0 82 39 0 82 112 0 82 185 0 82 258 0 82 331 0 82 40 0 82 113 0 82 186 0 82 259 0 82 332 0 82 41 5 82 114 0 82 187 0 82 260 0 82 333 0 82 42 1 82 115 0 82 188 0 82 261 0 82 334 10 82 43 0 82 116 0 82 189 0 82 262 0 82 335 0 82 44 0 82 117 0 82 190 0 82 263 0 82 336 0 82 45 0 82 118 0 82 191 0 82 264 0 82 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 82 46 0 82 119 0 82 192 0 82 265 0 82 338 0 82 47 0 82 120 0 82 193 0 82 266 0 82 339 0 82 48 0 82 121 0 82 194 0 82 267 3 82 340 0 82 49 0 82 122 3 82 195 0 82 268 6 82 341 0 82 50 0 82 123 2 82 196 0 82 269 2 82 342 0 82 51 0 82 124 2 82 197 0 82 270 3 82 343 2 82 52 0 82 125 0 82 198 0 82 271 0 82 344 1 82 53 0 82 126 0 82 199 0 82 272 1 82 345 0 82 54 0 82 127 0 82 200 0 82 273 0 82 346 0 82 55 0 82 128 0 82 201 0 82 274 0 82 347 0 82 56 0 82 129 5 82 202 0 82 275 0 82 348 0 82 57 0 82 130 1 82 203 0 82 276 0 82 349 0 82 58 0 82 131 0 82 204 0 82 277 0 82 350 0 82 59 0 82 132 0 82 205 3 82 278 0 82 351 0 82 60 0 82 133 0 82 206 0 82 279 0 82 352 0 82 61 1 82 134 0 82 207 2 82 280 0 82 353 0 82 62 0 82 135 0 82 208 6 82 281 0 82 354 0 82 63 0 82 136 0 82 209 0 82 282 0 82 355 0 82 64 0 82 137 0 82 210 0 82 283 0 82 356 6 82 65 0 82 138 0 82 211 0 82 284 0 82 357 2 82 66 0 82 139 0 82 212 0 82 285 0 82 358 0 82 67 0 82 140 0 82 213 0 82 286 0 82 359 0 82 68 0 82 141 0 82 214 0 82 287 0 82 360 0 82 69 0 82 142 0 82 215 0 82 288 0 82 361 0 82 70 0 82 143 0 82 216 0 82 289 0 82 362 0 82 71 0 82 144 0 82 217 0 82 290 0 82 363 0 82 72 0 82 145 0 82 218 0 82 291 0 82 364 0 82 73 7 82 146 0 82 219 0 82 292 0 82 365 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 83 1 0 83 74 0 83 147 0 83 220 0 83 293 0 83 2 0 83 75 0 83 148 0 83 221 3 83 294 0 83 3 0 83 76 0 83 149 0 83 222 5 83 295 0 83 4 0 83 77 6 83 150 0 83 223 0 83 296 0 83 5 0 83 78 0 83 151 0 83 224 0 83 297 0 83 6 0 83 79 0 83 152 0 83 225 0 83 298 0 83 7 0 83 80 15 83 153 0 83 226 0 83 299 0 83 8 0 83 81 0 83 154 0 83 227 3 83 300 0 83 9 0 83 82 0 83 155 0 83 228 8 83 301 0 83 10 0 83 83 2 83 156 0 83 229 4 83 302 0 83 11 0 83 84 0 83 157 0 83 230 58 83 303 0 83 12 0 83 85 0 83 158 0 83 231 5 83 304 0 83 13 0 83 86 0 83 159 0 83 232 0 83 305 0 83 14 0 83 87 0 83 160 0 83 233 0 83 306 0 83 15 0 83 88 0 83 161 0 83 234 0 83 307 0 83 16 2 83 89 0 83 162 0 83 235 0 83 308 0 83 17 1 83 90 0 83 163 0 83 236 0 83 309 0 83 18 0 83 91 0 83 164 0 83 237 0 83 310 0 83 19 3 83 92 2 83 165 0 83 238 0 83 311 0 83 20 0 83 93 2 83 166 0 83 239 0 83 312 0 83 21 0 83 94 2 83 167 0 83 240 0 83 313 0 83 22 2 83 95 0 83 168 0 83 241 0 83 314 0 83 23 1 83 96 0 83 169 0 83 242 0 83 315 0 83 24 6 83 97 0 83 170 0 83 243 0 83 316 0 83 25 0 83 98 0 83 171 0 83 244 0 83 317 0 83 26 0 83 99 0 83 172 0 83 245 0 83 318 0 83 27 6 83 100 0 83 173 0 83 246 0 83 319 0 83 28 0 83 101 3 83 174 0 83 247 0 83 320 0 83 29 14 83 102 2 83 175 0 83 248 0 83 321 0 83 30 0 83 103 0 83 176 0 83 249 0 83 322 0 83 31 0 83 104 0 83 177 0 83 250 0 83 323 0 83 32 0 83 105 0 83 178 0 83 251 0 83 324 1 83 33 0 83 106 0 83 179 0 83 252 0 83 325 0 83 34 1 83 107 0 83 180 0 83 253 0 83 326 0 83 35 0 83 108 3 83 181 0 83 254 0 83 327 0 83 36 3 83 109 0 83 182 0 83 255 0 83 328 8 83 37 3 83 110 0 83 183 0 83 256 0 83 329 5 83 38 1 83 111 1 83 184 0 83 257 0 83 330 0 83 39 2 83 112 0 83 185 0 83 258 0 83 331 0 83 40 0 83 113 0 83 186 0 83 259 0 83 332 0 83 41 0 83 114 0 83 187 0 83 260 0 83 333 0 83 42 0 83 115 0 83 188 0 83 261 0 83 334 0 83 43 0 83 116 0 83 189 0 83 262 0 83 335 0 83 44 1 83 117 0 83 190 0 83 263 0 83 336 0 83 45 0 83 118 0 83 191 0 83 264 0 83 337 3 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 83 46 0 83 119 0 83 192 0 83 265 0 83 338 0 83 47 0 83 120 1 83 193 0 83 266 0 83 339 0 83 48 0 83 121 2 83 194 0 83 267 0 83 340 0 83 49 0 83 122 0 83 195 0 83 268 1 83 341 0 83 50 0 83 123 0 83 196 0 83 269 9 83 342 0 83 51 0 83 124 0 83 197 0 83 270 1 83 343 0 83 52 0 83 125 0 83 198 0 83 271 0 83 344 0 83 53 0 83 126 0 83 199 0 83 272 0 83 345 0 83 54 0 83 127 0 83 200 0 83 273 1 83 346 0 83 55 1 83 128 0 83 201 0 83 274 4 83 347 0 83 56 1 83 129 0 83 202 0 83 275 0 83 348 0 83 57 0 83 130 0 83 203 0 83 276 0 83 349 0 83 58 5 83 131 0 83 204 0 83 277 0 83 350 0 83 59 0 83 132 0 83 205 0 83 278 0 83 351 0 83 60 16 83 133 0 83 206 0 83 279 0 83 352 0 83 61 14 83 134 0 83 207 0 83 280 0 83 353 0 83 62 23 83 135 0 83 208 0 83 281 0 83 354 0 83 63 0 83 136 0 83 209 0 83 282 0 83 355 0 83 64 0 83 137 0 83 210 0 83 283 0 83 356 0 83 65 0 83 138 0 83 211 0 83 284 0 83 357 0 83 66 0 83 139 0 83 212 0 83 285 0 83 358 6 83 67 0 83 140 0 83 213 0 83 286 0 83 359 15 83 68 0 83 141 0 83 214 0 83 287 0 83 360 1 83 69 0 83 142 0 83 215 0 83 288 0 83 361 0 83 70 0 83 143 0 83 216 0 83 289 0 83 362 0 83 71 0 83 144 0 83 217 0 83 290 0 83 363 0 83 72 0 83 145 0 83 218 4 83 291 0 83 364 0 83 73 0 83 146 0 83 219 2 83 292 0 83 365 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 84 1 0 84 74 0 84 147 0 84 220 0 84 293 0 84 2 0 84 75 0 84 148 0 84 221 0 84 294 0 84 3 0 84 76 0 84 149 0 84 222 0 84 295 0 84 4 0 84 77 0 84 150 0 84 223 0 84 296 0 84 5 0 84 78 0 84 151 0 84 224 0 84 297 0 84 6 0 84 79 0 84 152 0 84 225 0 84 298 0 84 7 0 84 80 0 84 153 0 84 226 0 84 299 0 84 8 0 84 81 0 84 154 0 84 227 15 84 300 0 84 9 0 84 82 0 84 155 0 84 228 8 84 301 0 84 10 0 84 83 0 84 156 0 84 229 0 84 302 0 84 11 0 84 84 0 84 157 0 84 230 0 84 303 0 84 12 0 84 85 0 84 158 0 84 231 5 84 304 0 84 13 0 84 86 0 84 159 0 84 232 16 84 305 0 84 14 0 84 87 0 84 160 0 84 233 0 84 306 0 84 15 0 84 88 0 84 161 0 84 234 0 84 307 0 84 16 0 84 89 0 84 162 0 84 235 0 84 308 0 84 17 0 84 90 0 84 163 0 84 236 0 84 309 0 84 18 0 84 91 0 84 164 0 84 237 0 84 310 0 84 19 0 84 92 0 84 165 0 84 238 0 84 311 0 84 20 0 84 93 0 84 166 0 84 239 0 84 312 0 84 21 0 84 94 0 84 167 0 84 240 0 84 313 0 84 22 0 84 95 0 84 168 0 84 241 0 84 314 0 84 23 0 84 96 0 84 169 0 84 242 0 84 315 0 84 24 0 84 97 1 84 170 0 84 243 0 84 316 0 84 25 0 84 98 0 84 171 0 84 244 0 84 317 0 84 26 0 84 99 0 84 172 0 84 245 0 84 318 0 84 27 0 84 100 0 84 173 0 84 246 0 84 319 0 84 28 0 84 101 0 84 174 0 84 247 0 84 320 0 84 29 0 84 102 0 84 175 0 84 248 0 84 321 0 84 30 0 84 103 0 84 176 0 84 249 0 84 322 0 84 31 0 84 104 0 84 177 0 84 250 0 84 323 0 84 32 0 84 105 0 84 178 0 84 251 0 84 324 0 84 33 0 84 106 0 84 179 0 84 252 0 84 325 0 84 34 0 84 107 0 84 180 0 84 253 0 84 326 2 84 35 0 84 108 0 84 181 0 84 254 0 84 327 18 84 36 0 84 109 0 84 182 0 84 255 0 84 328 4 84 37 0 84 110 0 84 183 0 84 256 0 84 329 3 84 38 0 84 111 0 84 184 0 84 257 0 84 330 0 84 39 0 84 112 0 84 185 1 84 258 0 84 331 0 84 40 0 84 113 0 84 186 0 84 259 0 84 332 0 84 41 2 84 114 0 84 187 0 84 260 4 84 333 0 84 42 0 84 115 0 84 188 0 84 261 1 84 334 0 84 43 0 84 116 0 84 189 0 84 262 0 84 335 0 84 44 0 84 117 0 84 190 0 84 263 0 84 336 0 84 45 1 84 118 0 84 191 0 84 264 1 84 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 84 46 0 84 119 0 84 192 0 84 265 0 84 338 0 84 47 0 84 120 0 84 193 0 84 266 0 84 339 0 84 48 0 84 121 0 84 194 1 84 267 0 84 340 0 84 49 0 84 122 0 84 195 1 84 268 0 84 341 0 84 50 0 84 123 0 84 196 0 84 269 0 84 342 0 84 51 0 84 124 0 84 197 0 84 270 0 84 343 2 84 52 0 84 125 0 84 198 0 84 271 0 84 344 0 84 53 0 84 126 0 84 199 0 84 272 0 84 345 1 84 54 0 84 127 0 84 200 0 84 273 0 84 346 2 84 55 0 84 128 0 84 201 1 84 274 0 84 347 1 84 56 0 84 129 0 84 202 0 84 275 1 84 348 0 84 57 0 84 130 0 84 203 11 84 276 2 84 349 0 84 58 0 84 131 0 84 204 38 84 277 0 84 350 1 84 59 0 84 132 0 84 205 1 84 278 0 84 351 6 84 60 0 84 133 0 84 206 0 84 279 0 84 352 0 84 61 0 84 134 0 84 207 0 84 280 0 84 353 10 84 62 0 84 135 0 84 208 0 84 281 0 84 354 23 84 63 0 84 136 0 84 209 1 84 282 0 84 355 1 84 64 0 84 137 0 84 210 3 84 283 0 84 356 0 84 65 0 84 138 0 84 211 2 84 284 0 84 357 0 84 66 0 84 139 0 84 212 1 84 285 0 84 358 0 84 67 0 84 140 0 84 213 11 84 286 0 84 359 0 84 68 0 84 141 0 84 214 0 84 287 0 84 360 0 84 69 0 84 142 0 84 215 0 84 288 0 84 361 3 84 70 0 84 143 0 84 216 0 84 289 0 84 362 8 84 71 0 84 144 0 84 217 0 84 290 0 84 363 5 84 72 0 84 145 0 84 218 0 84 291 0 84 364 0 84 73 0 84 146 0 84 219 0 84 292 0 84 365 0 84 366 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 85 1 0 85 74 0 85 147 0 85 220 0 85 293 0 85 2 0 85 75 0 85 148 0 85 221 0 85 294 0 85 3 0 85 76 0 85 149 0 85 222 0 85 295 0 85 4 0 85 77 1 85 150 0 85 223 0 85 296 0 85 5 0 85 78 0 85 151 0 85 224 0 85 297 0 85 6 0 85 79 0 85 152 0 85 225 0 85 298 0 85 7 5 85 80 0 85 153 0 85 226 0 85 299 0 85 8 2 85 81 0 85 154 1 85 227 0 85 300 0 85 9 0 85 82 0 85 155 0 85 228 0 85 301 0 85 10 0 85 83 0 85 156 0 85 229 0 85 302 0 85 11 0 85 84 0 85 157 0 85 230 0 85 303 0 85 12 0 85 85 0 85 158 0 85 231 0 85 304 0 85 13 0 85 86 0 85 159 0 85 232 0 85 305 0 85 14 0 85 87 1 85 160 0 85 233 0 85 306 0 85 15 0 85 88 0 85 161 0 85 234 0 85 307 0 85 16 0 85 89 0 85 162 0 85 235 0 85 308 0 85 17 0 85 90 0 85 163 0 85 236 0 85 309 0 85 18 0 85 91 0 85 164 0 85 237 0 85 310 0 85 19 0 85 92 0 85 165 0 85 238 0 85 311 0 85 20 0 85 93 0 85 166 0 85 239 0 85 312 0 85 21 0 85 94 0 85 167 0 85 240 0 85 313 0 85 22 0 85 95 0 85 168 0 85 241 0 85 314 0 85 23 0 85 96 0 85 169 0 85 242 0 85 315 16 85 24 0 85 97 0 85 170 0 85 243 0 85 316 6 85 25 0 85 98 0 85 171 0 85 244 0 85 317 0 85 26 2 85 99 0 85 172 0 85 245 0 85 318 0 85 27 1 85 100 0 85 173 0 85 246 0 85 319 0 85 28 0 85 101 0 85 174 0 85 247 0 85 320 0 85 29 0 85 102 0 85 175 0 85 248 0 85 321 0 85 30 0 85 103 0 85 176 0 85 249 0 85 322 0 85 31 0 85 104 0 85 177 0 85 250 0 85 323 0 85 32 0 85 105 0 85 178 0 85 251 0 85 324 0 85 33 0 85 106 0 85 179 0 85 252 0 85 325 0 85 34 0 85 107 0 85 180 0 85 253 0 85 326 0 85 35 0 85 108 0 85 181 0 85 254 0 85 327 0 85 36 0 85 109 0 85 182 0 85 255 0 85 328 2 85 37 0 85 110 0 85 183 0 85 256 0 85 329 2 85 38 0 85 111 0 85 184 0 85 257 0 85 330 0 85 39 0 85 112 0 85 185 0 85 258 0 85 331 0 85 40 1 85 113 0 85 186 0 85 259 0 85 332 0 85 41 1 85 114 0 85 187 0 85 260 0 85 333 4 85 42 0 85 115 0 85 188 0 85 261 9 85 334 0 85 43 0 85 116 0 85 189 0 85 262 0 85 335 0 85 44 0 85 117 0 85 190 0 85 263 0 85 336 5 85 45 0 85 118 0 85 191 0 85 264 0 85 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 85 46 0 85 119 0 85 192 0 85 265 0 85 338 0 85 47 0 85 120 0 85 193 0 85 266 0 85 339 0 85 48 0 85 121 0 85 194 0 85 267 0 85 340 0 85 49 0 85 122 0 85 195 0 85 268 0 85 341 0 85 50 0 85 123 0 85 196 0 85 269 0 85 342 0 85 51 0 85 124 0 85 197 0 85 270 1 85 343 0 85 52 0 85 125 0 85 198 1 85 271 0 85 344 0 85 53 0 85 126 0 85 199 6 85 272 0 85 345 0 85 54 0 85 127 0 85 200 2 85 273 0 85 346 0 85 55 0 85 128 0 85 201 7 85 274 0 85 347 0 85 56 0 85 129 1 85 202 1 85 275 0 85 348 0 85 57 0 85 130 5 85 203 0 85 276 0 85 349 0 85 58 0 85 131 0 85 204 0 85 277 0 85 350 0 85 59 0 85 132 0 85 205 0 85 278 0 85 351 0 85 60 0 85 133 0 85 206 0 85 279 0 85 352 0 85 61 0 85 134 0 85 207 0 85 280 1 85 353 0 85 62 0 85 135 0 85 208 0 85 281 1 85 354 0 85 63 0 85 136 0 85 209 0 85 282 0 85 355 0 85 64 0 85 137 0 85 210 0 85 283 0 85 356 0 85 65 0 85 138 0 85 211 0 85 284 0 85 357 0 85 66 0 85 139 0 85 212 0 85 285 0 85 358 0 85 67 0 85 140 0 85 213 0 85 286 0 85 359 0 85 68 0 85 141 0 85 214 0 85 287 0 85 360 0 85 69 0 85 142 0 85 215 0 85 288 0 85 361 0 85 70 0 85 143 0 85 216 0 85 289 0 85 362 0 85 71 0 85 144 0 85 217 0 85 290 0 85 363 0 85 72 0 85 145 0 85 218 0 85 291 0 85 364 0 85 73 0 85 146 0 85 219 0 85 292 0 85 365 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 86 1 0 86 74 4 86 147 0 86 220 0 86 293 2 86 2 0 86 75 1 86 148 0 86 221 0 86 294 0 86 3 0 86 76 0 86 149 0 86 222 2 86 295 0 86 4 0 86 77 0 86 150 0 86 223 0 86 296 0 86 5 4 86 78 0 86 151 0 86 224 0 86 297 0 86 6 0 86 79 0 86 152 0 86 225 0 86 298 0 86 7 0 86 80 0 86 153 0 86 226 0 86 299 0 86 8 0 86 81 0 86 154 0 86 227 0 86 300 0 86 9 0 86 82 0 86 155 0 86 228 0 86 301 0 86 10 0 86 83 0 86 156 0 86 229 0 86 302 0 86 11 0 86 84 0 86 157 0 86 230 1 86 303 0 86 12 0 86 85 0 86 158 0 86 231 0 86 304 0 86 13 0 86 86 0 86 159 0 86 232 0 86 305 0 86 14 0 86 87 0 86 160 0 86 233 0 86 306 0 86 15 0 86 88 0 86 161 0 86 234 0 86 307 0 86 16 0 86 89 0 86 162 0 86 235 0 86 308 0 86 17 0 86 90 0 86 163 0 86 236 0 86 309 0 86 18 0 86 91 0 86 164 0 86 237 5 86 310 0 86 19 0 86 92 0 86 165 0 86 238 3 86 311 0 86 20 0 86 93 0 86 166 0 86 239 4 86 312 0 86 21 0 86 94 0 86 167 0 86 240 0 86 313 0 86 22 0 86 95 1 86 168 0 86 241 0 86 314 0 86 23 0 86 96 4 86 169 0 86 242 0 86 315 0 86 24 0 86 97 0 86 170 0 86 243 0 86 316 0 86 25 0 86 98 0 86 171 0 86 244 0 86 317 0 86 26 0 86 99 0 86 172 0 86 245 0 86 318 0 86 27 0 86 100 0 86 173 0 86 246 0 86 319 0 86 28 0 86 101 0 86 174 0 86 247 0 86 320 0 86 29 0 86 102 0 86 175 0 86 248 0 86 321 0 86 30 21 86 103 0 86 176 0 86 249 0 86 322 15 86 31 2 86 104 0 86 177 0 86 250 0 86 323 0 86 32 0 86 105 0 86 178 0 86 251 0 86 324 0 86 33 0 86 106 0 86 179 0 86 252 0 86 325 0 86 34 0 86 107 0 86 180 0 86 253 0 86 326 0 86 35 1 86 108 0 86 181 0 86 254 0 86 327 0 86 36 0 86 109 0 86 182 0 86 255 0 86 328 0 86 37 0 86 110 0 86 183 0 86 256 0 86 329 0 86 38 0 86 111 0 86 184 0 86 257 0 86 330 0 86 39 0 86 112 0 86 185 0 86 258 0 86 331 0 86 40 0 86 113 0 86 186 0 86 259 0 86 332 0 86 41 0 86 114 0 86 187 0 86 260 0 86 333 0 86 42 0 86 115 0 86 188 0 86 261 0 86 334 0 86 43 0 86 116 0 86 189 0 86 262 0 86 335 0 86 44 1 86 117 0 86 190 0 86 263 0 86 336 0 86 45 7 86 118 0 86 191 0 86 264 0 86 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 86 46 6 86 119 0 86 192 0 86 265 0 86 338 0 86 47 0 86 120 0 86 193 0 86 266 1 86 339 0 86 48 0 86 121 0 86 194 0 86 267 0 86 340 4 86 49 0 86 122 0 86 195 0 86 268 0 86 341 2 86 50 0 86 123 0 86 196 3 86 269 0 86 342 0 86 51 0 86 124 0 86 197 0 86 270 0 86 343 0 86 52 0 86 125 0 86 198 0 86 271 0 86 344 0 86 53 0 86 126 4 86 199 0 86 272 0 86 345 0 86 54 0 86 127 0 86 200 0 86 273 0 86 346 0 86 55 0 86 128 0 86 201 0 86 274 1 86 347 0 86 56 0 86 129 0 86 202 4 86 275 8 86 348 0 86 57 0 86 130 0 86 203 0 86 276 0 86 349 0 86 58 0 86 131 0 86 204 2 86 277 0 86 350 0 86 59 0 86 132 0 86 205 0 86 278 0 86 351 0 86 60 0 86 133 0 86 206 0 86 279 0 86 352 0 86 61 0 86 134 0 86 207 0 86 280 0 86 353 2 86 62 0 86 135 0 86 208 0 86 281 0 86 354 10 86 63 0 86 136 0 86 209 0 86 282 0 86 355 0 86 64 0 86 137 0 86 210 0 86 283 0 86 356 0 86 65 0 86 138 0 86 211 0 86 284 0 86 357 0 86 66 0 86 139 0 86 212 0 86 285 0 86 358 0 86 67 2 86 140 0 86 213 0 86 286 0 86 359 0 86 68 0 86 141 0 86 214 0 86 287 0 86 360 0 86 69 7 86 142 0 86 215 0 86 288 0 86 361 0 86 70 0 86 143 0 86 216 0 86 289 0 86 362 0 86 71 1 86 144 0 86 217 0 86 290 0 86 363 0 86 72 4 86 145 0 86 218 0 86 291 0 86 364 0 86 73 2 86 146 0 86 219 0 86 292 6 86 365 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 87 1 0 87 74 8 87 147 0 87 220 0 87 293 0 87 2 0 87 75 0 87 148 2 87 221 0 87 294 0 87 3 0 87 76 0 87 149 0 87 222 0 87 295 4 87 4 13 87 77 0 87 150 0 87 223 0 87 296 0 87 5 7 87 78 0 87 151 0 87 224 0 87 297 7 87 6 2 87 79 0 87 152 0 87 225 0 87 298 0 87 7 2 87 80 2 87 153 0 87 226 0 87 299 0 87 8 0 87 81 1 87 154 0 87 227 0 87 300 0 87 9 0 87 82 0 87 155 0 87 228 0 87 301 0 87 10 0 87 83 0 87 156 0 87 229 0 87 302 2 87 11 0 87 84 0 87 157 1 87 230 0 87 303 0 87 12 0 87 85 0 87 158 0 87 231 0 87 304 10 87 13 0 87 86 0 87 159 1 87 232 0 87 305 6 87 14 0 87 87 0 87 160 0 87 233 0 87 306 1 87 15 0 87 88 0 87 161 0 87 234 0 87 307 0 87 16 0 87 89 0 87 162 0 87 235 0 87 308 0 87 17 0 87 90 0 87 163 0 87 236 0 87 309 15 87 18 0 87 91 0 87 164 0 87 237 0 87 310 6 87 19 0 87 92 0 87 165 0 87 238 0 87 311 0 87 20 0 87 93 0 87 166 0 87 239 0 87 312 0 87 21 0 87 94 3 87 167 0 87 240 0 87 313 0 87 22 0 87 95 0 87 168 0 87 241 0 87 314 0 87 23 0 87 96 0 87 169 0 87 242 0 87 315 0 87 24 0 87 97 0 87 170 0 87 243 0 87 316 0 87 25 0 87 98 0 87 171 0 87 244 0 87 317 0 87 26 0 87 99 0 87 172 0 87 245 0 87 318 0 87 27 0 87 100 0 87 173 0 87 246 0 87 319 0 87 28 0 87 101 0 87 174 0 87 247 0 87 320 0 87 29 0 87 102 0 87 175 0 87 248 0 87 321 0 87 30 0 87 103 0 87 176 0 87 249 0 87 322 0 87 31 0 87 104 0 87 177 0 87 250 0 87 323 0 87 32 0 87 105 0 87 178 0 87 251 0 87 324 0 87 33 0 87 106 0 87 179 0 87 252 0 87 325 0 87 34 0 87 107 0 87 180 0 87 253 0 87 326 0 87 35 0 87 108 0 87 181 0 87 254 0 87 327 0 87 36 0 87 109 0 87 182 0 87 255 0 87 328 0 87 37 0 87 110 0 87 183 0 87 256 0 87 329 0 87 38 0 87 111 0 87 184 0 87 257 0 87 330 0 87 39 0 87 112 0 87 185 0 87 258 0 87 331 0 87 40 0 87 113 0 87 186 0 87 259 0 87 332 0 87 41 0 87 114 0 87 187 0 87 260 0 87 333 0 87 42 0 87 115 0 87 188 0 87 261 0 87 334 0 87 43 0 87 116 0 87 189 0 87 262 0 87 335 0 87 44 0 87 117 0 87 190 0 87 263 0 87 336 0 87 45 0 87 118 0 87 191 0 87 264 0 87 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 87 46 1 87 119 3 87 192 0 87 265 0 87 338 4 87 47 0 87 120 0 87 193 0 87 266 0 87 339 2 87 48 0 87 121 0 87 194 0 87 267 0 87 340 0 87 49 0 87 122 0 87 195 0 87 268 0 87 341 0 87 50 0 87 123 0 87 196 0 87 269 0 87 342 0 87 51 0 87 124 0 87 197 5 87 270 0 87 343 0 87 52 0 87 125 0 87 198 0 87 271 0 87 344 0 87 53 0 87 126 0 87 199 0 87 272 0 87 345 0 87 54 3 87 127 2 87 200 0 87 273 0 87 346 0 87 55 1 87 128 1 87 201 32 87 274 0 87 347 0 87 56 5 87 129 0 87 202 5 87 275 0 87 348 0 87 57 0 87 130 0 87 203 0 87 276 0 87 349 0 87 58 0 87 131 0 87 204 0 87 277 0 87 350 0 87 59 0 87 132 2 87 205 0 87 278 0 87 351 8 87 60 0 87 133 0 87 206 0 87 279 0 87 352 0 87 61 0 87 134 0 87 207 0 87 280 0 87 353 1 87 62 0 87 135 2 87 208 0 87 281 0 87 354 0 87 63 0 87 136 11 87 209 0 87 282 0 87 355 0 87 64 3 87 137 1 87 210 0 87 283 0 87 356 2 87 65 5 87 138 0 87 211 0 87 284 0 87 357 1 87 66 2 87 139 0 87 212 0 87 285 2 87 358 0 87 67 0 87 140 0 87 213 0 87 286 6 87 359 0 87 68 0 87 141 0 87 214 0 87 287 0 87 360 0 87 69 0 87 142 0 87 215 0 87 288 0 87 361 0 87 70 0 87 143 0 87 216 1 87 289 0 87 362 0 87 71 0 87 144 0 87 217 3 87 290 0 87 363 0 87 72 0 87 145 0 87 218 0 87 291 0 87 364 0 87 73 0 87 146 0 87 219 0 87 292 0 87 365 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 88 1 0 88 74 0 88 147 0 88 220 0 88 293 0 88 2 0 88 75 0 88 148 0 88 221 0 88 294 0 88 3 0 88 76 0 88 149 0 88 222 0 88 295 0 88 4 1 88 77 0 88 150 3 88 223 0 88 296 0 88 5 6 88 78 0 88 151 0 88 224 0 88 297 0 88 6 0 88 79 0 88 152 0 88 225 0 88 298 0 88 7 0 88 80 0 88 153 0 88 226 0 88 299 0 88 8 0 88 81 0 88 154 0 88 227 0 88 300 0 88 9 0 88 82 0 88 155 0 88 228 0 88 301 0 88 10 0 88 83 0 88 156 0 88 229 0 88 302 0 88 11 0 88 84 0 88 157 0 88 230 0 88 303 0 88 12 0 88 85 0 88 158 0 88 231 0 88 304 0 88 13 0 88 86 0 88 159 0 88 232 0 88 305 0 88 14 0 88 87 0 88 160 0 88 233 0 88 306 0 88 15 0 88 88 0 88 161 0 88 234 0 88 307 0 88 16 0 88 89 0 88 162 0 88 235 0 88 308 0 88 17 19 88 90 0 88 163 0 88 236 3 88 309 0 88 18 4 88 91 0 88 164 0 88 237 1 88 310 0 88 19 0 88 92 0 88 165 0 88 238 3 88 311 0 88 20 0 88 93 0 88 166 0 88 239 6 88 312 0 88 21 0 88 94 0 88 167 0 88 240 2 88 313 0 88 22 0 88 95 0 88 168 0 88 241 4 88 314 0 88 23 0 88 96 0 88 169 0 88 242 0 88 315 0 88 24 0 88 97 0 88 170 0 88 243 1 88 316 0 88 25 0 88 98 0 88 171 0 88 244 0 88 317 0 88 26 0 88 99 0 88 172 1 88 245 0 88 318 0 88 27 0 88 100 0 88 173 1 88 246 0 88 319 2 88 28 0 88 101 0 88 174 2 88 247 0 88 320 0 88 29 0 88 102 0 88 175 0 88 248 0 88 321 0 88 30 0 88 103 0 88 176 0 88 249 0 88 322 0 88 31 0 88 104 1 88 177 0 88 250 0 88 323 0 88 32 0 88 105 7 88 178 0 88 251 0 88 324 0 88 33 2 88 106 26 88 179 0 88 252 0 88 325 0 88 34 0 88 107 1 88 180 0 88 253 0 88 326 0 88 35 0 88 108 0 88 181 0 88 254 0 88 327 0 88 36 0 88 109 0 88 182 0 88 255 0 88 328 0 88 37 0 88 110 0 88 183 0 88 256 0 88 329 0 88 38 0 88 111 7 88 184 0 88 257 0 88 330 0 88 39 0 88 112 2 88 185 0 88 258 0 88 331 0 88 40 0 88 113 1 88 186 0 88 259 0 88 332 0 88 41 0 88 114 0 88 187 0 88 260 0 88 333 0 88 42 0 88 115 0 88 188 0 88 261 0 88 334 0 88 43 0 88 116 0 88 189 0 88 262 0 88 335 0 88 44 0 88 117 0 88 190 0 88 263 0 88 336 0 88 45 0 88 118 0 88 191 0 88 264 1 88 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 88 46 0 88 119 0 88 192 0 88 265 3 88 338 0 88 47 0 88 120 0 88 193 0 88 266 1 88 339 0 88 48 0 88 121 0 88 194 0 88 267 0 88 340 0 88 49 0 88 122 0 88 195 0 88 268 0 88 341 0 88 50 0 88 123 0 88 196 0 88 269 0 88 342 0 88 51 0 88 124 0 88 197 0 88 270 0 88 343 0 88 52 0 88 125 0 88 198 0 88 271 0 88 344 0 88 53 0 88 126 1 88 199 0 88 272 0 88 345 0 88 54 0 88 127 2 88 200 0 88 273 0 88 346 0 88 55 0 88 128 0 88 201 0 88 274 0 88 347 0 88 56 0 88 129 0 88 202 0 88 275 0 88 348 0 88 57 0 88 130 0 88 203 0 88 276 0 88 349 0 88 58 5 88 131 0 88 204 1 88 277 0 88 350 0 88 59 1 88 132 0 88 205 0 88 278 0 88 351 0 88 60 3 88 133 0 88 206 0 88 279 0 88 352 0 88 61 2 88 134 0 88 207 0 88 280 0 88 353 1 88 62 0 88 135 0 88 208 0 88 281 0 88 354 0 88 63 0 88 136 0 88 209 0 88 282 0 88 355 0 88 64 0 88 137 0 88 210 0 88 283 0 88 356 1 88 65 0 88 138 0 88 211 2 88 284 0 88 357 0 88 66 0 88 139 0 88 212 6 88 285 0 88 358 0 88 67 0 88 140 0 88 213 1 88 286 0 88 359 0 88 68 0 88 141 0 88 214 5 88 287 0 88 360 0 88 69 0 88 142 0 88 215 0 88 288 0 88 361 0 88 70 0 88 143 0 88 216 0 88 289 0 88 362 0 88 71 0 88 144 0 88 217 0 88 290 0 88 363 0 88 72 0 88 145 0 88 218 0 88 291 0 88 364 0 88 73 0 88 146 0 88 219 0 88 292 0 88 365 0 88 366 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 89 1 0 89 74 0 89 147 0 89 220 2 89 293 0 89 2 0 89 75 0 89 148 0 89 221 1 89 294 0 89 3 0 89 76 0 89 149 0 89 222 0 89 295 0 89 4 2 89 77 0 89 150 0 89 223 10 89 296 0 89 5 0 89 78 0 89 151 0 89 224 0 89 297 0 89 6 0 89 79 0 89 152 0 89 225 0 89 298 1 89 7 0 89 80 0 89 153 0 89 226 0 89 299 0 89 8 0 89 81 0 89 154 0 89 227 0 89 300 0 89 9 0 89 82 0 89 155 0 89 228 0 89 301 0 89 10 0 89 83 0 89 156 0 89 229 0 89 302 0 89 11 0 89 84 3 89 157 0 89 230 0 89 303 0 89 12 0 89 85 1 89 158 0 89 231 0 89 304 0 89 13 0 89 86 0 89 159 0 89 232 0 89 305 0 89 14 0 89 87 0 89 160 0 89 233 0 89 306 0 89 15 0 89 88 0 89 161 0 89 234 0 89 307 0 89 16 0 89 89 0 89 162 0 89 235 0 89 308 0 89 17 0 89 90 0 89 163 0 89 236 0 89 309 0 89 18 0 89 91 0 89 164 0 89 237 0 89 310 0 89 19 0 89 92 0 89 165 0 89 238 0 89 311 0 89 20 0 89 93 0 89 166 0 89 239 0 89 312 0 89 21 0 89 94 0 89 167 0 89 240 0 89 313 0 89 22 0 89 95 0 89 168 0 89 241 0 89 314 0 89 23 0 89 96 0 89 169 0 89 242 0 89 315 0 89 24 0 89 97 0 89 170 0 89 243 0 89 316 0 89 25 0 89 98 0 89 171 0 89 244 0 89 317 0 89 26 0 89 99 0 89 172 0 89 245 0 89 318 0 89 27 0 89 100 0 89 173 0 89 246 0 89 319 0 89 28 0 89 101 0 89 174 0 89 247 0 89 320 0 89 29 0 89 102 0 89 175 0 89 248 0 89 321 0 89 30 0 89 103 0 89 176 0 89 249 0 89 322 0 89 31 0 89 104 0 89 177 0 89 250 0 89 323 0 89 32 0 89 105 0 89 178 0 89 251 0 89 324 0 89 33 0 89 106 0 89 179 0 89 252 0 89 325 0 89 34 0 89 107 0 89 180 0 89 253 0 89 326 0 89 35 2 89 108 0 89 181 0 89 254 0 89 327 0 89 36 0 89 109 0 89 182 0 89 255 0 89 328 0 89 37 0 89 110 0 89 183 0 89 256 0 89 329 0 89 38 0 89 111 0 89 184 0 89 257 0 89 330 0 89 39 1 89 112 0 89 185 0 89 258 0 89 331 0 89 40 3 89 113 0 89 186 0 89 259 0 89 332 0 89 41 1 89 114 0 89 187 0 89 260 0 89 333 0 89 42 0 89 115 0 89 188 0 89 261 0 89 334 0 89 43 0 89 116 0 89 189 0 89 262 3 89 335 0 89 44 0 89 117 0 89 190 0 89 263 0 89 336 0 89 45 0 89 118 0 89 191 0 89 264 0 89 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 89 46 0 89 119 0 89 192 0 89 265 0 89 338 0 89 47 0 89 120 0 89 193 0 89 266 0 89 339 0 89 48 0 89 121 0 89 194 0 89 267 0 89 340 0 89 49 0 89 122 0 89 195 0 89 268 0 89 341 0 89 50 0 89 123 0 89 196 0 89 269 0 89 342 0 89 51 0 89 124 0 89 197 0 89 270 0 89 343 0 89 52 0 89 125 0 89 198 0 89 271 0 89 344 0 89 53 0 89 126 0 89 199 0 89 272 0 89 345 0 89 54 0 89 127 0 89 200 0 89 273 0 89 346 0 89 55 0 89 128 0 89 201 0 89 274 0 89 347 0 89 56 0 89 129 0 89 202 0 89 275 0 89 348 0 89 57 0 89 130 0 89 203 0 89 276 0 89 349 0 89 58 0 89 131 3 89 204 0 89 277 0 89 350 0 89 59 0 89 132 0 89 205 0 89 278 0 89 351 0 89 60 0 89 133 1 89 206 0 89 279 0 89 352 0 89 61 0 89 134 0 89 207 0 89 280 0 89 353 0 89 62 0 89 135 1 89 208 0 89 281 0 89 354 0 89 63 0 89 136 0 89 209 0 89 282 0 89 355 1 89 64 0 89 137 0 89 210 0 89 283 0 89 356 0 89 65 0 89 138 0 89 211 0 89 284 0 89 357 0 89 66 0 89 139 0 89 212 0 89 285 0 89 358 0 89 67 0 89 140 0 89 213 0 89 286 0 89 359 0 89 68 0 89 141 0 89 214 0 89 287 0 89 360 0 89 69 0 89 142 0 89 215 0 89 288 0 89 361 0 89 70 0 89 143 0 89 216 0 89 289 0 89 362 0 89 71 0 89 144 0 89 217 0 89 290 0 89 363 0 89 72 0 89 145 0 89 218 0 89 291 0 89 364 0 89 73 0 89 146 0 89 219 1 89 292 0 89 365 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 90 1 0 90 74 0 90 147 3 90 220 0 90 293 0 90 2 1 90 75 0 90 148 11 90 221 0 90 294 0 90 3 0 90 76 0 90 149 0 90 222 0 90 295 0 90 4 0 90 77 0 90 150 0 90 223 0 90 296 0 90 5 0 90 78 0 90 151 0 90 224 1 90 297 0 90 6 0 90 79 0 90 152 0 90 225 0 90 298 0 90 7 0 90 80 0 90 153 0 90 226 0 90 299 0 90 8 0 90 81 0 90 154 0 90 227 8 90 300 0 90 9 0 90 82 0 90 155 0 90 228 0 90 301 0 90 10 0 90 83 0 90 156 0 90 229 0 90 302 0 90 11 0 90 84 0 90 157 0 90 230 0 90 303 0 90 12 0 90 85 0 90 158 0 90 231 0 90 304 0 90 13 0 90 86 0 90 159 0 90 232 0 90 305 0 90 14 3 90 87 0 90 160 1 90 233 0 90 306 0 90 15 0 90 88 0 90 161 2 90 234 0 90 307 0 90 16 2 90 89 0 90 162 0 90 235 0 90 308 0 90 17 6 90 90 0 90 163 0 90 236 0 90 309 0 90 18 0 90 91 0 90 164 0 90 237 0 90 310 0 90 19 0 90 92 0 90 165 0 90 238 0 90 311 0 90 20 0 90 93 0 90 166 0 90 239 0 90 312 0 90 21 0 90 94 0 90 167 0 90 240 0 90 313 0 90 22 0 90 95 0 90 168 0 90 241 0 90 314 0 90 23 0 90 96 0 90 169 0 90 242 0 90 315 0 90 24 0 90 97 0 90 170 0 90 243 0 90 316 0 90 25 0 90 98 0 90 171 0 90 244 0 90 317 0 90 26 0 90 99 0 90 172 0 90 245 0 90 318 0 90 27 0 90 100 0 90 173 0 90 246 0 90 319 0 90 28 0 90 101 0 90 174 0 90 247 0 90 320 0 90 29 0 90 102 0 90 175 0 90 248 0 90 321 0 90 30 0 90 103 0 90 176 0 90 249 0 90 322 0 90 31 0 90 104 0 90 177 0 90 250 0 90 323 1 90 32 3 90 105 0 90 178 0 90 251 0 90 324 3 90 33 0 90 106 0 90 179 0 90 252 0 90 325 0 90 34 0 90 107 0 90 180 0 90 253 0 90 326 0 90 35 0 90 108 0 90 181 0 90 254 0 90 327 0 90 36 0 90 109 0 90 182 0 90 255 0 90 328 0 90 37 0 90 110 5 90 183 0 90 256 0 90 329 0 90 38 0 90 111 0 90 184 0 90 257 0 90 330 0 90 39 0 90 112 0 90 185 0 90 258 0 90 331 0 90 40 0 90 113 1 90 186 0 90 259 0 90 332 0 90 41 0 90 114 0 90 187 0 90 260 0 90 333 0 90 42 0 90 115 0 90 188 0 90 261 0 90 334 0 90 43 0 90 116 0 90 189 0 90 262 0 90 335 0 90 44 0 90 117 0 90 190 0 90 263 0 90 336 0 90 45 0 90 118 0 90 191 0 90 264 0 90 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 90 46 0 90 119 0 90 192 0 90 265 0 90 338 0 90 47 0 90 120 0 90 193 0 90 266 10 90 339 0 90 48 0 90 121 0 90 194 0 90 267 0 90 340 0 90 49 0 90 122 0 90 195 9 90 268 0 90 341 0 90 50 0 90 123 0 90 196 0 90 269 0 90 342 0 90 51 0 90 124 0 90 197 7 90 270 0 90 343 0 90 52 0 90 125 0 90 198 0 90 271 1 90 344 0 90 53 0 90 126 0 90 199 0 90 272 0 90 345 0 90 54 0 90 127 0 90 200 0 90 273 0 90 346 0 90 55 0 90 128 0 90 201 0 90 274 0 90 347 0 90 56 0 90 129 0 90 202 0 90 275 0 90 348 0 90 57 0 90 130 0 90 203 0 90 276 0 90 349 0 90 58 0 90 131 0 90 204 0 90 277 0 90 350 0 90 59 0 90 132 0 90 205 0 90 278 0 90 351 0 90 60 0 90 133 0 90 206 0 90 279 0 90 352 0 90 61 0 90 134 0 90 207 0 90 280 0 90 353 0 90 62 0 90 135 0 90 208 0 90 281 0 90 354 0 90 63 0 90 136 0 90 209 0 90 282 0 90 355 0 90 64 1 90 137 0 90 210 0 90 283 0 90 356 0 90 65 0 90 138 0 90 211 0 90 284 0 90 357 0 90 66 0 90 139 0 90 212 0 90 285 0 90 358 0 90 67 0 90 140 0 90 213 0 90 286 0 90 359 0 90 68 0 90 141 0 90 214 0 90 287 0 90 360 0 90 69 0 90 142 0 90 215 0 90 288 0 90 361 0 90 70 0 90 143 0 90 216 0 90 289 0 90 362 0 90 71 0 90 144 0 90 217 0 90 290 0 90 363 0 90 72 0 90 145 0 90 218 0 90 291 0 90 364 0 90 73 0 90 146 0 90 219 0 90 292 0 90 365 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 91 1 0 91 74 0 91 147 0 91 220 0 91 293 0 91 2 0 91 75 0 91 148 0 91 221 0 91 294 0 91 3 2 91 76 0 91 149 0 91 222 4 91 295 0 91 4 1 91 77 0 91 150 0 91 223 1 91 296 0 91 5 0 91 78 11 91 151 0 91 224 9 91 297 0 91 6 0 91 79 4 91 152 2 91 225 0 91 298 0 91 7 0 91 80 19 91 153 0 91 226 0 91 299 2 91 8 0 91 81 1 91 154 0 91 227 0 91 300 0 91 9 0 91 82 0 91 155 0 91 228 0 91 301 0 91 10 0 91 83 0 91 156 0 91 229 0 91 302 0 91 11 0 91 84 0 91 157 0 91 230 0 91 303 0 91 12 0 91 85 3 91 158 0 91 231 0 91 304 0 91 13 0 91 86 19 91 159 0 91 232 0 91 305 0 91 14 0 91 87 0 91 160 0 91 233 0 91 306 0 91 15 0 91 88 0 91 161 0 91 234 0 91 307 0 91 16 0 91 89 0 91 162 0 91 235 0 91 308 0 91 17 0 91 90 0 91 163 0 91 236 0 91 309 0 91 18 0 91 91 0 91 164 0 91 237 0 91 310 0 91 19 0 91 92 0 91 165 0 91 238 0 91 311 0 91 20 0 91 93 0 91 166 0 91 239 0 91 312 0 91 21 0 91 94 0 91 167 0 91 240 0 91 313 0 91 22 0 91 95 0 91 168 0 91 241 0 91 314 0 91 23 0 91 96 0 91 169 0 91 242 0 91 315 0 91 24 0 91 97 0 91 170 0 91 243 13 91 316 0 91 25 0 91 98 0 91 171 0 91 244 0 91 317 0 91 26 0 91 99 0 91 172 0 91 245 0 91 318 0 91 27 0 91 100 0 91 173 0 91 246 0 91 319 0 91 28 0 91 101 0 91 174 0 91 247 0 91 320 0 91 29 0 91 102 0 91 175 0 91 248 2 91 321 0 91 30 0 91 103 0 91 176 0 91 249 2 91 322 0 91 31 0 91 104 0 91 177 0 91 250 0 91 323 0 91 32 0 91 105 0 91 178 0 91 251 0 91 324 0 91 33 0 91 106 0 91 179 0 91 252 0 91 325 0 91 34 0 91 107 0 91 180 0 91 253 0 91 326 0 91 35 0 91 108 0 91 181 0 91 254 0 91 327 0 91 36 0 91 109 0 91 182 0 91 255 0 91 328 0 91 37 0 91 110 0 91 183 0 91 256 0 91 329 0 91 38 0 91 111 0 91 184 0 91 257 0 91 330 0 91 39 0 91 112 0 91 185 0 91 258 0 91 331 0 91 40 0 91 113 0 91 186 0 91 259 0 91 332 0 91 41 0 91 114 0 91 187 0 91 260 0 91 333 0 91 42 0 91 115 0 91 188 1 91 261 0 91 334 0 91 43 0 91 116 0 91 189 0 91 262 0 91 335 0 91 44 0 91 117 0 91 190 0 91 263 0 91 336 0 91 45 0 91 118 0 91 191 0 91 264 0 91 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 91 46 0 91 119 0 91 192 0 91 265 0 91 338 0 91 47 0 91 120 0 91 193 0 91 266 0 91 339 0 91 48 0 91 121 0 91 194 0 91 267 0 91 340 0 91 49 0 91 122 11 91 195 0 91 268 0 91 341 2 91 50 0 91 123 1 91 196 0 91 269 0 91 342 3 91 51 0 91 124 0 91 197 0 91 270 0 91 343 0 91 52 0 91 125 0 91 198 0 91 271 6 91 344 1 91 53 0 91 126 0 91 199 0 91 272 0 91 345 0 91 54 0 91 127 0 91 200 0 91 273 0 91 346 0 91 55 0 91 128 0 91 201 0 91 274 0 91 347 0 91 56 0 91 129 0 91 202 0 91 275 0 91 348 0 91 57 0 91 130 0 91 203 0 91 276 0 91 349 0 91 58 8 91 131 0 91 204 0 91 277 0 91 350 0 91 59 16 91 132 0 91 205 0 91 278 0 91 351 0 91 60 9 91 133 1 91 206 0 91 279 0 91 352 0 91 61 0 91 134 0 91 207 0 91 280 0 91 353 4 91 62 0 91 135 0 91 208 0 91 281 0 91 354 0 91 63 0 91 136 0 91 209 0 91 282 0 91 355 0 91 64 0 91 137 0 91 210 0 91 283 0 91 356 0 91 65 0 91 138 0 91 211 0 91 284 0 91 357 0 91 66 0 91 139 0 91 212 0 91 285 0 91 358 0 91 67 0 91 140 0 91 213 15 91 286 0 91 359 0 91 68 0 91 141 0 91 214 1 91 287 0 91 360 0 91 69 0 91 142 0 91 215 0 91 288 0 91 361 0 91 70 0 91 143 0 91 216 0 91 289 0 91 362 0 91 71 0 91 144 0 91 217 0 91 290 0 91 363 5 91 72 1 91 145 0 91 218 0 91 291 0 91 364 12 91 73 2 91 146 0 91 219 0 91 292 0 91 365 0 Table III-1. Developed data precipitation record for Yucca Mountain that was used directly as input for INFIL V2.0 (cont.) Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 92 1 0 92 74 0 92 147 0 92 220 0 92 293 0 92 2 0 92 75 0 92 148 0 92 221 0 92 294 0 92 3 3 92 76 0 92 149 0 92 222 0 92 295 0 92 4 5 92 77 0 92 150 1 92 223 0 92 296 0 92 5 22 92 78 0 92 151 0 92 224 1 92 297 0 92 6 8 92 79 0 92 152 0 92 225 0 92 298 8 92 7 0 92 80 4 92 153 0 92 226 0 92 299 0 92 8 0 92 81 10 92 154 0 92 227 0 92 300 0 92 9 0 92 82 2 92 155 0 92 228 0 92 301 7 92 10 0 92 83 3 92 156 0 92 229 0 92 302 0 92 11 0 92 84 0 92 157 0 92 230 0 92 303 0 92 12 0 92 85 0 92 158 0 92 231 0 92 304 1 92 13 0 92 86 0 92 159 0 92 232 0 92 305 0 92 14 0 92 87 5 92 160 0 92 233 0 92 306 0 92 15 0 92 88 0 92 161 0 92 234 0 92 307 0 92 16 0 92 89 5 92 162 0 92 235 0 92 308 0 92 17 0 92 90 15 92 163 0 92 236 0 92 309 0 92 18 0 92 91 6 92 164 0 92 237 0 92 310 0 92 19 0 92 92 0 92 165 0 92 238 0 92 311 0 92 20 0 92 93 0 92 166 0 92 239 0 92 312 0 92 21 0 92 94 0 92 167 0 92 240 0 92 313 0 92 22 0 92 95 0 92 168 0 92 241 0 92 314 0 92 23 0 92 96 0 92 169 0 92 242 0 92 315 0 92 24 0 92 97 0 92 170 0 92 243 0 92 316 0 92 25 0 92 98 0 92 171 0 92 244 0 92 317 0 92 26 0 92 99 0 92 172 0 92 245 0 92 318 0 92 27 0 92 100 0 92 173 0 92 246 0 92 319 0 92 28 0 92 101 0 92 174 0 92 247 0 92 320 0 92 29 0 92 102 0 92 175 0 92 248 0 92 321 0 92 30 0 92 103 0 92 176 0 92 249 0 92 322 0 92 31 0 92 104 0 92 177 0 92 250 0 92 323 0 92 32 0 92 105 0 92 178 0 92 251 0 92 324 0 92 33 0 92 106 0 92 179 0 92 252 0 92 325 0 92 34 0 92 107 0 92 180 0 92 253 0 92 326 0 92 35 0 92 108 0 92 181 0 92 254 0 92 327 0 92 36 0 92 109 0 92 182 0 92 255 0 92 328 0 92 37 15 92 110 0 92 183 0 92 256 0 92 329 0 92 38 12 92 111 0 92 184 0 92 257 0 92 330 0 92 39 0 92 112 0 92 185 0 92 258 0 92 331 0 92 40 3 92 113 0 92 186 0 92 259 0 92 332 0 92 41 17 92 114 0 92 187 0 92 260 2 92 333 0 92 42 7 92 115 0 92 188 0 92 261 0 92 334 0 92 43 22 92 116 0 92 189 0 92 262 2 92 335 0 92 44 9 92 117 0 92 190 0 92 263 0 92 336 0 92 45 0 92 118 0 92 191 0 92 264 0 92 337 0 Daily Daily Daily Daily Daily Day Precip-Day Precip-Day Precip-Day Precip-Day Precip- of itation of itation of itation of itation of itation Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) Year Year (mm) 92 46 9 92 119 0 92 192 0 92 265 0 92 338 0 92 47 0 92 120 0 92 193 0 92 266 1 92 339 0 92 48 0 92 121 0 92 194 0 92 267 0 92 340 1 92 49 0 92 122 0 92 195 0 92 268 2 92 341 0 92 50 0 92 123 0 92 196 0 92 269 0 92 342 41 92 51 0 92 124 0 92 197 0 92 270 0 92 343 19 92 52 0 92 125 0 92 198 0 92 271 3 92 344 0 92 53 0 92 126 0 92 199 0 92 272 0 92 345 0 92 54 0 92 127 0 92 200 0 92 273 0 92 346 2 92 55 0 92 128 0 92 201 0 92 274 0 92 347 0 92 56 0 92 129 3 92 202 0 92 275 0 92 348 0 92 57 0 92 130 0 92 203 0 92 276 0 92 349 0 92 58 0 92 131 0 92 204 0 92 277 0 92 350 0 92 59 0 92 132 0 92 205 0 92 278 0 92 351 0 92 60 0 92 133 0 92 206 0 92 279 0 92 352 0 92 61 0 92 134 0 92 207 0 92 280 0 92 353 1 92 62 23 92 135 0 92 208 0 92 281 0 92 354 0 92 63 3 92 136 0 92 209 0 92 282 0 92 355 0 92 64 0 92 137 0 92 210 0 92 283 0 92 356 0 92 65 0 92 138 0 92 211 0 92 284 0 92 357 1 92 66 2 92 139 0 92 212 0 92 285 0 92 358 1 92 67 5 92 140 0 92 213 2 92 286 0 92 359 0 92 68 1 92 141 0 92 214 0 92 287 0 92 360 0 92 69 0 92 142 1 92 215 0 92 288 0 92 361 0 92 70 0 92 143 0 92 216 0 92 289 0 92 362 1 92 71 0 92 144 0 92 217 0 92 290 0 92 363 7 92 72 0 92 145 0 92 218 0 92 291 0 92 364 1 92 73 0 92 146 0 92 219 0 92 292 0 92 365 0 92 366 0 ATTACHMENT IV GEOSPATIAL INPUT DATA FOR INFIL V2.0 FY99 TOTAL PAGES: 16 Geospatial Input Data for INFIL V2.0 FY99 1. Statement of Intended Use for the Data The purpose of these data is to provide spatial information and properties for each grid block necessary to calculate net infiltration at each location for the Yucca Mountain site using the model INFIL V2.0. 2. General Information Pertaining to the Data Set Source data software used for development of geospatial input data are as follows: (1) Elevation, northing and easting: USGS Digital Elevation Model (DEM) from Topopah Spring West and Busted Butte 7.5-minute quadrangles: DTN: GS000308311221.006, ARCINFO, to produce ASCII file 30MSITE.INP (DTN: GS000308311221.006) (2) Downstream grid cell: 30MSITE.INP, SORTGRD1 V1.0, CHNNET16 V1.0 (DTN: GS000308311221.006) (3) Number of upstream cells: 30MSITE.INP, SORTGRD1 V1.0, CHNNET16 V1.0 (DTN: GS000308311221.006) (4) Slope: 30MSITE.INP, ARCINFO (DTN: GS000308311221.006) (5) Aspect: 30MSITE.INP, ARCINFO (DTN: GS000308311221.006) (6) Soil-type: INFIL V2.0 control file INFILS5o.CTL and 30MSITE.INF (DTN: GS960508312212.007, GS000308311221.006) (7) Soil depth class: soil depth map (DTN: GS960508312212.007), INFIL V2.0 control file INFILS5o.CTL, and 30MSITE.INP (DTN: GS000308311221.006) (8) Modeled soil depth: soil depth class (DTN: GS960508312212.007), GEOMAP7 V1.0, GEOMOD4 V1.0, and SOILMAP6 V1.0 (9) Rock type: INFIL V2.0 control file INFILS5o.CTL, and README2.DAY [coverage explanations for Day et al. (1998)], (DTN: GS971208314221.003) (10) Topographic position: INFIL V2.0 control file INFILS5o.CTL (11) Blocking ridges: 30MSITE.INP (DTN: GS000308311221.006), BLOCKR7 V1.0 This data set consists of three parts. One is a set of 10 files consisting of grid blocks within individual watershed modeling domains and all associated geospatial input listed above. The 10 modeling domains are illustrated in Figure 6-12 (Attachment II). These files are in EXCEL worksheets formatted with descriptive column headers and are available in DTN: GS000308311221.004: YuccaWash.xls DuneWash.xls DrillHole.xls Solitario1.xls Solitario2.xls Solitario4.xls PlugHill.xls JetRidge1.xls JetRidge2.xls JetRidge3.xls. The parameters included in each file are grid cell identifier number, UTM easting, UTM northing (m), latitude, longitude (decimal degrees), grid cell row index, grid cell column index, downstream grid cell identifier (used for surface water routing), number of upstream grid cells, elevation (m), slope (degrees inclination from horizontal), aspect (degrees from north), soil-type identifier, soil depth class identifier, modeled soil depth (m), rock-type identifier, topographic position, 36 blocking ridge angles (decimal degrees, inclination above horizontal) (see Table IV-1). An abbreviated example of the files is shown in Table IV-2. The second part is the lookup table providing properties for each grid. It consists of a spreadsheet called GeoK.xls and consists of rock-type identifier, source, geologic description, hydrogeologic identifier, and bulk bedrock permeability (Table IV-3). Part 3 is the soil properties (Table IV-4). These are measured and calculated properties. Measured properties are bulk density, porosity, and rock fragment content. Saturated hydraulic conductivity, moisture retention curve fit parameters alpha and n, water content at –0.1 bar water potential, and water content at –60 bars water potential were estimated using empirical equations from Campbell (1985). Part 1: Geospatial input for each of 10 drainages This input is primarily based on the USGS Digital Elevation Model (DEM) from Topopah Spring West and Busted Butte 7.5-minute quadrangles. The base grid (DTN: GS000308311221.006) was used to define location coordinates for the geospatial parameter input files for the 1996 version of the net infiltration model (Flint et al., 1996). The DEM is a regular 2-dimensional grid of 253,597 cells having dimensions of 30 x 30 meters and elevations to the nearest meter. The 30-meter grid is based on a Universal Transverse Mercator (UTM), zone 11, NAD 1927 projection, consists of 691 northing “rows” (grid cell row index) and 367 easting “columns” (grid cell column index) aligned orthogonal to the UTM coordinate axis, and has a lower left corner coordinate of 544,661 meters easting and 4,067,133 meters northing. Grid locations are also defined using geographic coordinates, latitude and longitude in decimal degrees, which were calculated in ARCINFO and used as input for the SOLRAD sub-model in INFIL V2.0. The row and column location indices are used in the flow routing module in INFIL in the calculation of the surface water run-on term. Downstream grid cell identifer is the flow routing parameter and determines which of eight surrounding grid cells is the lowest in elevation. A value of –3 indicates the downstream grid cell is a drainage boundary. Flow directions were calculated for each grid cell using a two-step process. For the first step, the entire base-grid is sorted by elevation using the routine SORTGRD V1.0. In the second step, flow routing directions are calculated based on a standard D8 routing algorithm using the routine CHNNET16 V1.0. CHNNET16 V1.0 is a convergent flow routing algorithm; multiple cells are allowed to route to a single cell, but any given cell can route to only one downstream grid cell (as opposed to two in cases of flow dispersion). The CHNNET16 V1.0 algorithm provides a method for routing through surface depressions in the DEM. The number of upstream grid cells is included in each file. Elevation from mean sea level in meters is included in each file. Slope is a required input parameter for estimating soil depths. Slope and aspect were calculated for the net infiltration model from the DEM (DTN: GS000308311221.006) using standard GIS applications in ARCINFO. Soil type is indicated by values of between 1 and 10 (Flint et al., 1996, Table 3, DTN: GS960908312211.003). When encountered in INFIL it uses a lookup table (INFILS5o.CTL) that has all hydrologic parameters for each soil type as listed in Flint et al. (1996). Depth class identifier is a value between 1 and 6 and is used in the preprocessing routine SOILMAP6 V1.0 with depth to bedrock map (DTN: GS960508312212.007, Estimated distribution of geomorphic surfaces and depth to bedrock for the southern half of the Topopah Spring NW 7.5 minute quadrangle and the entire Busted Butte 7.5 minute quadrangle), and slope to calculate soil depth at all grid block locations. Soil depth is estimated using a combination of the soil depth class map and an estimated linear relation between soil depth and slope within each depth class (GEOMAP7 V1.0 and GEOMOD4 V1.0). Soil depth classes represent different ranges in actual soil depths that were estimated using a combination of Quaternary geologic maps, field observations, and soil depth recorded at borehole sites (Flint and Flint, 1995, Table 2). Depth class #1 identifies locations with soil depths ranging from 0 to 0.5 meters and primarily occurs in rugged upland areas. Depth class #2 identifies deeper soils ranging from 0.5 to 3.0 meters occurring at mid to lower side-slope locations in upland areas affected by slumps, slides, and other mass-wasting processes. Depth class #3 identifies locations in the transition zone between upland areas and alluvial fans or basins with intermediate soil depths ranging from 3 to 6 meters. Depth class #4 identifies deep soils with depths of 6 meters or greater. Depth class #5 is an intermediate depth zone equivalent to Depth class #3, however #3 did not represent field conditions well when the Day et al. (1998) map was incorporated into the model. Depth class #5 is therefore an adjusted version of Depth class #3 where the geology is represented by Day et al. (1998) . Depth class #6 occurs where Scott and Bonk (1984) mapped bedrock and Day et al. (1998) mapped deep alluvium. A compromise for this depth class was chosen as 3-6 m. The soil depth classes were used to estimate soil depths based on calculated slope and an empirical soil-depth model (modeled soil depth, in meters). This model is based on an assumed soil depth – slope correlation within the soil depth classes defined for the 1996 version of the net infiltration model (Flint et al., 1996). The conceptual soil depth model for depth class 1 assumes that soils are thinnest at summit and ridge-crest areas as well as steep side slopes. Deeper soils are assumed to occur at the relatively gently sloping shoulder areas that define the transition between summit or ridge crest areas and steep side slope areas. Deeper soils are also assumed to occur for more gently sloping foot-slope locations. The model for soil depth class 1 is defined by: D = 0.03 * S + 0.1, S £ 10 D = 0.013 * (10 - S) + 0.4, 10 < S < 40 D = 0.01, S ‡ 40 where D = soil depth (in meters), and S = slope (degrees). The model for depth class #2 is defined by: D = 2 – (0.05 * S), S < 32 D = 0.4, S ‡ 32 and the model for depth class # 3 is defined by: D = 6 - (0.16 * S), S £ 25 D = 2.0 For depth class #4, soil depth is set to a uniform depth of 6 meters. Rock-type identifier defines the rock type for each grid cell so that the corresponding bulk bedrock permeability can be found in the look up table shown in Table IV-3. Bedrock geology was defined for each grid element using three ARCINFO map coverages and a vector to raster conversion performed by ARCINFO. The three maps used for the bedrock determinations are the 1:6000 scale Bedrock Geologic Map of the Central block area by Day et al. (1998), the Preliminary Geologic Map of Yucca Mountain by Scott and Bonk (1984), and the Geologic Map of the Topopah Spring Northwest Quadrangle by Sawyer et al. (1995) . Within the UZ flow and transport model area, bedrock geology for the net infiltration model (which is defined as a unique integer identifier for each rock-type in the geospatial parameter input file) is primarily defined by Day et al. (1998). Bedrock geology for the northern and southern perimeter sections of the UZ flow and transport model area is defined by Scott and Bonk (1984). Bedrock geology is represented in the geospatial parameter input file using a unique integer identifier for each rock-type. The identifier is linked to a bulk (field-scale) saturated permeability in the model control file (represented in GeoK.xls). Multiple rock-types can be assigned the same bulk permeability value in the model control file. Topographic position is indicated by values ranging from 1 to 4, corresponding to the classification ridgetop, sideslope, alluvial terrace, and channel discussed in Section 6.1.2 of this AMR. This information was used in INFIL V1.0 to identify channel locations, but as routing is done in version 2.0 this parameter is not used. It is however maintained as a placeholder. The 36 blocking ridge angles (degrees inclination above horizontal) are calculated at each 10degree horizontal arc (with the azimuth aligned in the UTM northing direction) for each grid cell using the routine BLOCKR7. Calculations were performed using the DEM as input and a technique for approximating the 10-degree horizontal angles based on grid cell distances. The blocking ridge parameters cannot account for topographic influences outside of the DEM, and thus the blocking ridge effect is only partly accounted for along the perimeter of the DEM. Part 2: Geologic unit identifier and associated bulk bedrock saturated hydraulic conductivity The second part includes only the file GeoK.xls (Table IV-3). The geologic identifier in the first column is a value that allows each grid cell to use this file as a lookup table to identify rock type. The source is the map the rock type was taken from using ARCINFO coverages. The next two columns are geologic descriptions extracted from the sources that, when combined with map location, allow for the interpretation of corresponding lithostratigraphic unit shown in the next column which is represented by nomenclature from Buesch et al. (1996). The determination of corresponding lithostratigraphic unit is typically straightforward based on description. The column with corresponding hydrogeologic unit is based on Flint (1998 Table 1 and DTN: MO0109HYMXPROP.001 ) and incorporates data from analyses of samples of most of the rock types for saturated hydraulic conductivity (DTN: MO0109HYMXPROP.001 ). Saturated hydraulic conductivity (Ks) on individual core samples was determined on subsamples from several boreholes (DTN: GS990408312231.001, GS960808312231.001, GS960808312231.005). Cores were vacuum saturated, and Ks was measured using a steady-state permeameter that forces water through the core at a measured pressure while weighing the outflow over time. Ks was calculated using Darcy’s law. Mean values of saturated hydraulic conductivity for each hydrogeologic unit were determined by using a geometric mean calculation for Ks values found in DTN: MO0109HYMXPROP.001. The bulk bedrock hydraulic conductivity represents the combined matrix and fracture saturated hydraulic conductivity of each rock-type. Bulk bedrock hydraulic conductivity was calculated using measured saturated hydraulic conductivity of fracture fill material. A value of 43.2 mm/day was selected and used as a preliminary value. However, a value of 46.7 mm/day is the average value calculated from all measurements in DTN: GS950708312211.003, Fracture/Fault Properties For Fast Pathways Model; the difference in calculated bulk hydraulic conductivity between these values is insignificant and results in bulk hydraulic conductivities that are less than 1% different. Additional values used to calculate bulk bedrock hydraulic conductivity included an estimate of the percent area occupied by 250 micron fractures (the assumption of this size fracture is discussed in Flint et al., 1996) and the mean saturated hydraulic conductivity of the bedrock matrix for that rock type (Flint, 1998, Table 7; DTN: MO0109HYMXPROP.001 ). The percent area occupied by fractures of 250-microns aperture is equal to 250 microns divided by 1,000,000 microns per meter, multiplied by the fracture densities in fractures per meter. The fracture desities for each rock type that were used to calculate the bulk bedrock hydraulic conductivities were estimated from field observations and, subsequently, were corroborated by the fracture density data from boreholes NRG-4, NRG-5, NRG-6, NRG-7, SD-9 and SD-12 reported in Altman et al. (1996, Table 3-6, DTN: SNSAND96081900.000). For the development of hydrogeologic units, the data originally collected from laboratory measurements on all samples from 31 surface-based boreholes drilled from 1995 through 1997, GS950608312231.008, GS960808312231.005, GS960808312231.003, MO0109HYMXPROP.001, GS990408312231.001, GS000408312231.003, GS000508312231.005, and GS000508312231.006. These are also included in Section 8.4. Outliers and inappropriate data have been removed to allow for a better representation of the hydrogeologic units. Physical properties of bulk density, porosity, and particle density; flow properties of saturated hydraulic conductivity and moisture-retention characteristics; and the state variables (variables describing the current state of field conditions) of saturation and water potential were determined for each unit. Units were defined using the data base of physical and hydrologic properties, described lithostratigraphic boundaries and corresponding relations to porosity, recognition of transition zones with pronounced changes in properties over short vertical distances, characterization of the influence of mineral alteration on hydrologic properties such as permeability and moisture-retention characteristics, and a statistical analysis to evaluate where boundaries should be adjusted to minimize the variance within layers. Additional data packages referred to in this attachment pertaining to the development of parameters for geospatial input for the net-infiltration model are also included in Section 8.4. were analysed and data were submitted in the following data packages: DTN: GS920508312231.012, GS930108312231.006, GS940408312231.004, GS000408312231.004, GS940508312231.006, GS950408312231.004, GS950408312231.005, GS950308312231.003, GS951108312231.009, GS951108312231.011, GS951108312231.010, GS950308312231.002, GS960808312231.004, GS950608312231.006, GS960808312231.002, GS960808312231.001, Part 3: Properties for 10 soil units The properties in Table IV-4 represent soils located around Yucca Mountain, Nevada. Bulk density, porosity, and rock fragment content were measured using laboratory analyses described in Flint and others (1996, p. 41). The source data for these measured properties were submitted under the following DTNs: GS950708312211.002 -“FY94 and FY95 Laboratory Measurements of Physical Properties of Surficial Materials at Yucca Mountain, Nevada.” GS960108312211.001 - “FY95 Lab Measurements of Physical Properties of Surficial Material, at Yucca Mountain, NV PART II” GS960108312211.002 - “Gravimetric and Volumetric Water Content and Rock Fragment Content of 31 Selected Sites at Yucca Mountain, NV: FY95 Laboratory Measurements of Physical Properties of Surficial Material at Yucca Mountain, Part III” Field and laboratory analyses were conducted on the soils around Yucca Mountain. Large-volume, field bulk-density samples were collected from the surface to 0.3 m by using an irregular-hole, bulk-density device called a bead cone. Bulk density, porosity, rock fragment content, and sand, silt, and clay percentages were determined. Saturated hydraulic conductivity was measured using a double-ring infiltrometer on soils in locations where it could be measured and then compared to conductivity simulated using textural data for the fine-soil fraction (<2 mm) by using Equation 6.12 of Campbell (1985). Log-log water-characteristic curves were determined using Equations 2.15, 2.16, 2.17, 2.18, 5.10, and 5.11 of Campbell (1985) and were converted to van Genuchten curves in Excel. Soil-water contents at -0.1 bar and -60 bars water potential were used as field capacity and residual water content, the difference of which is plant available water content. The soil properties are summarized in Table IV-4, where the parameters defining the van Genuchten curves (conductivity, alpha, and n) are simulated from texture, rock fragment content, and bulk density measured in the field. Also listed in Table IV-4 are the soil-water contents corresponding to -0.1 and -60 bars water potential for each soil type, calculated using the fitted water-retention van Genuchten curve for each soil type. To test the validity of using textural analysis as a surrogate for measurements of soil properties, field-measured hydraulic conductivities were compared with the geometric-mean particle diameter using a method discussed in Campbell (1985, eq. 2.15) and with the model predictions of hydraulic properties made using Campbell (1985, eqs. 5.10 and 5.11), which is developed for <2-mm particle sizes. The results indicated an adequate correlation to use textural data for particle sizes < 0.3 mm; however, the presence of rock fragments has a substantial effect on soil properties. To account for the presence of rock fragments, the log of simulated hydraulic conductivity from Campbell (1985) and the gravimetric rock-fragment content were regressed against the log of the measured values of hydraulic conductivity to produce a modified Campbell equation with an r2 of 0.85. The equation was then applied to each unit in Table IV-4 to determine the saturated hydraulic conductivity. This analysis assumes that textural changes with depth are insignificant and that properties determined from textural sampling from the top 0.3 m of soil represents the entire soil profile. A large percentage of the surficial deposits in the study area are < 0.5 m deep (Flint et al., 1996, Figure 13) and the application of these data for these shallow soils is considered appropriate. Textural data also were used for the calculation of moisture-retention curves for the surficial soils using Campbell (1985). Six moisture-retention curves were measured in the laboratory on soil units 1, 2, and 4 using tempe cells, pressure pots, and chilled-mirror psychrometers to measure water potential over a full range of saturations (Flint et al., 1996, Figures 16A, 16B, and 16C). Curves were fit to the combined data sets for each soil unit. Curves calculated from the average textural data for the soil units are very similar to the curves from the measured data for the three units. It was considered, therefore, that texture could be used to calculate curves and associated parameters for the remaining five soil units, and all curves are illustrated in Flint et al. (1996, Figure 16D). These parameters are those listed in Table IV-4. Table IV-1. Description of columns in output files with geospatial input for INFIL V2.0. Column Description 1 Grid cell identifier number 2 UTM easting (m) 3 UTM northing (m) 4 Latitude (decimal degrees) 5 Longitude (decimal degrees) 6 Grid cell row index 7 Grid cell column index 8 Downstream grid cell identifier number (used for surface water routing) 9 Number of upstream grid cells 10 Elevation (m) 11 Slope (degrees inclination from horizontal) 12 Aspect (degrees azimuth from the UTM northing axis, in the horizontal plane) 13 Soil type identifier 14 Depth class identifier 15 Modeled soil depth (m) 16 Rock type identifier 17 Topographic position 18 1st of 36 blocking ridge angles (inclination above horizontal, decimal degrees) - - - - 54 Last of 36 blocking ridge angles Table IV-2. Example of output found in files used as geospatial input for INFIL V2.0. (DTN: GS000308311221.004) Slope Aspect Modeled Blocking Blocking Grid cell (degrees (degrees Soil type Depth class soil depth Rock type Topographic inclination position ridge angle ridge angle identifier from identifier identifier identifier 59985 9 197 5 60288 9 199 5 60879 8 201 5 61172 10 109 5 61179 8 196 5 61794 20 259 5 61795 10 108 5 62076 10 108 5 62077 9 193 5 62706 19 259 5 62707 19 263 5 62708 10 108 5 62711 12 197 5 63010 18 258 5 63011 10 112 5 63573 18 248 5 63574 9 125 5 10.4817 4 21 10.4817 4 21 10.4617 5 21 10.517 4 21 10.4617 5 21 10.3318 4 35 10.517 4 21 10.517 4 21 10.4817 4 21 10.3518 4 59 10.3518 4 67 10.517 4 21 10.4717 4 21 10.3618 4 56 10.517 5 21 10.3618 4 56 10.4817 5 21 Grid cell identifier UTM Easting (m) UTM Northing (m) Latitude (degrees) Longitude (degrees) Grid cell row index Grid cell column index Downstream grid cell identifier Number of upstream grid cells Elevation (m) 59985 545681 4076613 36.8361 116.4877 375 35 -3 0 1393 60288 545681 4076583 36.8359 116.4877 376 35 62707 0 1392 60879 545681 4076553 36.8356 116.4877 377 35 63010 0 1390 61172 545711 4076613 36.8361 116.4874 375 36 -3 0 1389 61179 545681 4076523 36.8353 116.4877 378 35 63573 0 1389 61794 545651 4076613 36.8361 116.488 375 34 -3 0 1387 61795 545711 4076583 36.8359 116.4874 376 36 -3 0 1387 62076 545711 4076553 36.8356 116.4874 377 36 -3 0 1386 62077 545681 4076493 36.835 116.4877 379 35 65103 0 1386 62706 545651 4076583 36.8359 116.488 376 34 -3 1 1384 62707 545651 4076553 36.8356 116.488 377 34 66960 1 1384 62708 545711 4076523 36.8353 116.4874 378 36 -3 0 1384 62711 545681 4076463 36.8348 116.4877 380 35 67273 0 1384 63010 545651 4076523 36.8353 116.4881 378 34 67584 1 1383 63011 545711 4076493 36.835 116.4874 379 36 -3 0 1383 63573 545651 4076493 36.835 116.4881 379 34 68785 1 1381 63574 545711 4076463 36.8348 116.4874 380 36 -3 0 1381 from 12 horizontal) northing) (m) Table IV-3. Lookup table in INFIL V2.0 providing properties for each grid block, consisting of rock-type identifier, source, geologic description (formation and lithology), corresponding lithostratigraphic unit and hydrogeologic identifier, and estimated fracture density and bulk bedrock saturated hydraulic conductivity based on filled 250-um fractures.[F/m, fractures per meter; mm/d, millimeters per day.] (DTN: GS000308311221.004) Geologic descriptions from sources Bulk Bedrock Saturated Geologic Identifier Source Formation Lithology Corresponding lithostratigr aphic unit Corresponding hydrogeolo gic unit Estimated Fracture density (F/m) Hydraulic Conductivity w/filled 250um fractures (mm/d) Rhyolite of 2 Scott and Bonk (1984) Pinnacles Ridge Lava flows Tptrv1 TC 25.0 0.41 Rhyolite of 3 Scott and Bonk (1984) Pinnacles Ridge Pyroclastic rocks Tpbt2 BT3 0.5 46.66 Rhyolite of Comb 4 Scott and Bonk (1984) Peak Lava flows Tpcpll CW 7.0 0.09 Rhyolite of Comb 5 Scott and Bonk (1984) Peak Pyroclastic rocks Tpbt3 BT3 0.5 46.66 Rhyolite of Vent 6 Scott and Bonk (1984) Pass Lava flows Tptrv1 TC 25.0 0.41 Rhyolite of Vent 7 Scott and Bonk (1984) Pass Pyroclastic rocks Tpbt3 BT3 0.5 46.66 Rhyolite of Black 8 Scott and Bonk (1984) Glass Canyon Lava flows Tpcpll CW 7.0 0.09 Rhyolite of Black 9 Scott and Bonk (1984) Glass Canyon Pyroclastic rocks Tpbt3 BT3 0.5 46.66 Basalt Dikes of 10 Scott and Bonk (1984) Yucca Mountain Welded Tpcplnc CW 7.0 0.09 Timber Mountain Welded ash-flow 11 Scott and Bonk (1984) Tuff-Rainier Mesa tuff Tptpmn TMN 5.0 0.06 Timber Mountain Nonwelded ash12 Scott and Bonk (1984) Tuff-Rainier Mesa flow tuff Tpcpv1 CNW 6.0 2.74 13 Scott and Bonk (1984) Bedded Tuff Bedded Tuff Tpbt4 BT4 0.5 13.83 Rhyolite of Windy 14 Scott and Bonk (1984) Wash Lava flows Tpcpll CW 7.0 0.09 Rhyolite of Windy 15 Scott and Bonk (1984) Wash Pyroclastic rocks Tpbt3 BT3 0.5 46.66 16 Scott and Bonk (1984) Tiva Canyon Tuff Undifferentiated Tpcpll CW 7.0 0.09 17 Scott and Bonk (1984) Tiva Canyon Tuff Caprock Tpcrv TC 20.0 0.35 18 Scott and Bonk (1984) Tiva Canyon Tuff Upper cliff Tpcrn CUC 5.0 3.34 19 Scott and Bonk (1984) Tiva Canyon Tuff Upper lithophysal Tpcpul CUL 5.0 1.13 20 Scott and Bonk (1984) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 21 Scott and Bonk (1984) Tiva Canyon Tuff Lower cliff Tpcpmn CW 5.0 0.06 22 Scott and Bonk (1984) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 23 Scott and Bonk (1984) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 24 Scott and Bonk (1984) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 25 Scott and Bonk (1984) Tiva Canyon Tuff Middle lithophysal Tpcpmn CW 5.0 0.06 26 Scott and Bonk (1984) Tiva Canyon Tuff Clinkstone Tpcpmn CW 5.0 0.06 27 Scott and Bonk (1984) Tiva Canyon Tuff Rounded step Tpcpmn CW 5.0 0.06 28 Scott and Bonk (1984) Tiva Canyon Tuff Lower Lithophysal Tpcpll CW 5.0 0.06 Geologic descriptions from sources Bulk Bedrock Saturated Geologic Identifier Source Formation Lithology Corresponding lithostratigr aphic unit Corresponding hydrogeolo gic unit Estimated Fracture density (F/m) Hydraulic Conductivity w/filled 250um fractures (mm/d) 29 Scott and Bonk (1984) Tiva Canyon Tuff Hackly zone Tpcplnh CW 5.0 0.06 30 Scott and Bonk (1984) Tiva Canyon Tuff Hackly zone Tpcplnh CW 5.0 0.06 31 Scott and Bonk (1984) Tiva Canyon Tuff Columnar Tpcplnc CW 5.0 0.06 32 Scott and Bonk (1984) Tiva Canyon Tuff Bedded Tuff Tpbt4 BT4 0.5 13.83 Yucca Mountain 33 Scott and Bonk (1984) Tuff Undifferentiated Tpbt4 BT4 0.5 13.83 Yucca Mountain 34 Scott and Bonk (1984) Tuff Upper Tpbt4 BT4 0.5 13.83 Yucca Mountain 35 Scott and Bonk (1984) Tuff Middle Tpy CW 5.0 0.06 Yucca Mountain 36 Scott and Bonk (1984) Tuff Lower Tpy BT3 0.5 46.66 Yucca Mountain 37 Scott and Bonk (1984) Tuff Rhyolite Flows Tpcpll CW 7.0 0.09 Yucca Mountain 38 Scott and Bonk (1984) Tuff Bedded Tuff Tpbt3 BT3 0.5 46.66 39 Scott and Bonk (1984) Pah Canyon Tuff Undifferentiated Tpp TPP 1.0 75.62 40 Scott and Bonk (1984) Pah Canyon Tuff Upper Tpp TPP 1.0 75.62 41 Scott and Bonk (1984) Pah Canyon Tuff Middle Tpp CW 5.0 0.06 42 Scott and Bonk (1984) Pah Canyon Tuff Lower Tpbt2 BT2 0.5 276.49 43 Scott and Bonk (1984) Pah Canyon Tuff Bedded Tuff Tpbt2 BT2 0.5 276.49 Topopah Spring 44 Scott and Bonk (1984) Tuff Undifferentiated Tptpll CW 7.0 0.09 Topopah Spring 45 Scott and Bonk (1984) Tuff Caprock Tptrv1 TC 25.0 0.41 Topopah Spring 99 Scott and Bonk (1984) Tuff Caprock/rounded Tptrn TC 10.0 0.25 Topopah Spring 46 Scott and Bonk (1984) Tuff Rounded Tptrn TR 5.0 0.20 Topopah Spring 47 Scott and Bonk (1984) Tuff Thin lithophysal Tptpul TUL 3.0 0.05 Topopah Spring 48 Scott and Bonk (1984) Tuff Red lithophysal Tptpul TUL 3.0 0.05 Topopah Spring 49 Scott and Bonk (1984) Tuff Upper lithophysal Tptpul TUL 3.0 0.05 Topopah Spring 50 Scott and Bonk (1984) Tuff Lower lithophysal Tptpul TUL 3.0 0.05 Topopah Spring 51 Scott and Bonk (1984) Tuff Lithophysal Tptpul TUL 3.0 0.05 Topopah Spring 52 Scott and Bonk (1984) Tuff Nonlithophysal Tptpmn TMN 7.0 0.09 Topopah Spring Gray 53 Scott and Bonk (1984) Tuff nonlithophysal Tptpmn TMN 7.0 0.09 Topopah Spring 54 Scott and Bonk (1984) Tuff Nonlithophysal Tptpmn TMN 7.0 0.09 Topopah Spring 55 Scott and Bonk (1984) Tuff Brick Tptpmn TMN 7.0 0.09 Geologic descriptions from sources Bulk Bedrock Saturated Corres-Corres-Estimated Hydraulic Geologic ponding ponding Fracture Conductivity Source Identifier Lithology lithostratigr hydrogeolo density w/filled 250Formation aphic unit gic unit (F/m) um fractures (mm/d) Topopah Spring Middle 56 Scott and Bonk (1984) Tuff nonlithophysal Tptpmn TMN 7.0 0.09 Topopah Spring Orange brick 57 Scott and Bonk (1984) Tuff lithophysal Tptpmn TMN 7.0 0.09 Topopah Spring 58 Scott and Bonk (1984) Tuff Orange brick Tptpmn TMN 7.0 0.09 Topopah Spring 59 Scott and Bonk (1984) Tuff Tptpmn TMN 7.0 0.09 Topopah Spring 60 Scott and Bonk (1984) Tuff Tptpmn TMN 7.0 0.09 Topopah Spring 61 Scott and Bonk (1984) Tuff Tptpmn TMN 7.0 0.09 Topopah Spring 62 Scott and Bonk (1984) Tuff Mottled lithophysal Tptpll TLL 5.0 0.07 Topopah Spring 63 Scott and Bonk (1984) Tuff Lower Lithophysal Tptpll TLL 5.0 0.07 Topopah Spring 64 Scott and Bonk (1984) Tuff Lower Lithophysal Tptpll TLL 5.0 0.07 Topopah Spring 65 Scott and Bonk (1984) Tuff Lower Lithophysal Tptpll TLL 5.0 0.07 Topopah Spring 66 Scott and Bonk (1984) Tuff Mottled Tptpln TM1 12.0 0.14 Topopah Spring 67 Scott and Bonk (1984) Tuff Vitrophyre Tptpv3 PV3 15.0 0.17 Topopah Spring 68 Scott and Bonk (1984) Tuff Partially welded Tptpv2,1 PV2 0.5 0.07 Calico Hills 69 Scott and Bonk (1984) Formation Pyroclastic rocks Tac CHZ 0.5 0.02 Calico Hills 70 Scott and Bonk (1984) Formation Lava flows Tptpln TM1 12.0 0.14 Calico Hills Autobrecciated 71 Scott and Bonk (1984) Formation lavas Tac CHZ 0.5 0.01 72 Scott and Bonk (1984) Prow Pass Tuff Partially welded Tcp, unit3 PP3 1.0 1.65 73 Scott and Bonk (1984) Prow Pass Tuff Moderately welded Tcp, unit2 PP2 2.0 0.05 74 Scott and Bonk (1984) Prow Pass Tuff Undifferentiated Tcp, unit2 PP2 2.0 0.05 75 Scott and Bonk (1984) Prow Pass Tuff Bedded Tuffs Tcp, unit1 PP1 1.0 0.02 76 Scott and Bonk (1984) Bullfrog Tuff Ash-flow tuff Tcb, unit3 BF3 1.0 0.09 77 Scott and Bonk (1984) Disturbed ground 0.25 Sawyer et al. 201 (1995) Tiva Canyon Tuff Undifferentiated Tpcpll CW 1.0 0.09 Sawyer et al. Timber Mountain Welded ash-flow 202 (1995) Tuff-Rainier Mesa tuff Tptpmn TMN 5.0 0.06 Sawyer et al. Rhyolite of Windy 203 (1995) Wash Lava flows Tpcpll CW 1.0 0.09 Sawyer et al. 204 (1995) Alluvium 500.00 Sawyer et al. Rhyolite of Vent 205 (1995) Pass Lava flows Tptrv1 TC 25.0 0.41 Geologic descriptions from sources Bulk Bedrock Saturated Alluvial & Colluvial Alluvial & Colluvial 301 Day et al. (1998) deposits deposits QTac QTac 500.00 302 Day et al. (1998) Colluvial deposits Colluvial deposits Qtc QTac 500.00 303 Day et al. (1998) Miocene Intrusives basalt dike Td CW 5.0 0.06 Timber Mountain Rainier Mesa Tuff, 304 Day et al. (1998) Group welded Tmrw TMN 1.0 0.09 Timber Mountain Rainier Mesa Tuff, 305 Day et al. (1998) Group nonwelded Tmr CNW 6.0 2.74 Rhyolite of Comb 306 Day et al. (1998) Peak Rhyolite lava flow Tpkl BT3 0.5 46.66 Rhyolite of Comb 307 Day et al. (1998) Peak Ash-flow tuff Tpkt BT3 0.5 46.66 Rhyolite of Comb 308 Day et al. (1998) Peak bedded tuff Tbt5 BT3 0.5 46.66 Rhyolite of Comb 309 Day et al. (1998) Peak undivided Tpu CW 5.0 0.06 310 Day et al. (1998) Tiva Canyon Tuff undivided Tcu CW 5.0 0.06 crystal rich vitric 311 Day et al. (1998) Tiva Canyon Tuff zone Tcrv TC 20.0 0.35 subvitric transition 312 Day et al. (1998) Tiva Canyon Tuff zone Tcrn4 TC 20.0 0.35 313 Day et al. (1998) Tiva Canyon Tuff pumice-poor zone Tcrn3 CUC 5.0 3.34 314 Day et al. (1998) Tiva Canyon Tuff mixed-pumice zone Tcr2 CUC 5.0 3.34 crystal transition 315 Day et al. (1998) Tiva Canyon Tuff zone Tcr1 CW 5.0 0.06 316 Day et al. (1998) Tiva Canyon Tuff upper lithophysal Tcpul CUL 5.0 1.13 upper 317 Day et al. (1998) Tiva Canyon Tuff nonlithophysal Tcpun CW 5.0 0.06 middle 318 Day et al. (1998) Tiva Canyon Tuff nonlithophysal Tcpmn CW 5.0 0.06 Geologic Identifier Source Formation Lithology Corresponding lithostratigr aphic unit Corresponding hydrogeolo gic unit Estimated Fracture density (F/m) Hydraulic Conductivity w/filled 250um fractures (mm/d) Sawyer et al. Rhyolite of 206 (1995) Pinnacles Ridge Lava flows Tptrv1 TC 25.0 0.41 Sawyer et al. Rhyolite of 207 (1995) Pinnacles Ridge Pyroclastic rocks Tpbt2 BT3 0.5 46.66 Sawyer et al. Calico Hills 208 (1995) Formation Lava flows Tptpln TM1 12.0 0.14 Sawyer et al. Yucca Mountain 209 (1995) Tuff Middle Tpy CW 5.0 0.06 Sawyer et al. Rhyolite of Comb 210 (1995) Peak Lava flows Tpcpll CW 1.0 0.09 Sawyer et al. 211 (1995) Bullfrog Tuff Ash-flow tuff Tcb, unit3 BF3 1.0 0.09 Sawyer et al. 212 (1995) Bullfrog Tuff Ash-flow tuff Tcb, unit3 BF3 1.0 0.09 Sawyer et al. Topopah Spring 213 (1995) Tuff Nonlithophysal Tptpmn TMN 1.0 0.09 Sawyer et al. 214 (1995) Prow Pass Tuff Moderately welded Tcp, unit2 PP2 2.0 0.05 Geologic Identifier Source Geologic descriptions from sources Formation Lithology Corresponding lithostratigr aphic unit Corresponding hydrogeolo gic unit Estimated Fracture density (F/m) Bulk Bedrock Saturated Hydraulic Conductivity w/filled 250um fractures (mm/d) upper & middle 319 Day et al. (1998) Tiva Canyon Tuff nonlith, undivided Tcpum CW 5.0 0.06 320 Day et al. (1998) Tiva Canyon Tuff lower lith Tcpll CW 5.0 0.06 321 Day et al. (1998) Tiva Canyon Tuff lower nonlith Tcpln CW 5.0 0.06 322 Day et al. (1998) Tiva Canyon Tuff columnar subzone Tcplnc CW 5.0 0.06 323 Day et al. (1998) Tiva Canyon Tuff crystal poor vitric Tcplncv CNW 6.0 2.74 324 Day et al. (1998) Yucca Mt. Tuff Yucca Mt. Tuff Tpy BT4 0.5 13.83 Pah Canyon Tuff, 325 Day et al. (1998) Pah Canyon Tuff nonwelded Tpp TPP 1.0 75.62 Pah Canyon Tuff, 326 Day et al. (1998) Pah Canyon Tuff welded Tppw CW 5.0 0.06 pre-Pah Canyon pre-Pah Canyon 327 Day et al. (1998) Tuff Tuff Tpbt2 BT2 0.5 276.49 Topopah Spring 328 Day et al. (1998) Tuff undifferentiated Tptu TR 5.0 0.20 crystal rich crystal rich vitric, 329 Day et al. (1998) member undivided Tptrv TC 20.0 0.35 crystal rich densely welded 330 Day et al. (1998) member zone Tptrn3 TC 20.0 0.35 crystal rich 331 Day et al. (1998) member pumice-rich zone Tptrn2 TR 5.0 0.20 crystal rich crystal transition 332 Day et al. (1998) member zone Tptr1 TUL 3.0 0.05 crystal poor 333 Day et al. (1998) member upper lith Tptpul TUL 3.0 0.05 crystal poor 334 Day et al. (1998) member middle nonlith Tptpmn TMN 7.0 0.09 crystal poor lithophysal bearing 335 Day et al. (1998) member subzone Tptmnl TMN 7.0 0.09 crystal poor 336 Day et al. (1998) member lower lith Tptpll TLL 7.0 0.09 Topopah Spring 345 Day et al. (1998) Tuff undivided Tptrn TR 10.0 0.24 Table IV-4. Summary of soil properties used as input for INFIL V2.0. [m/s, meters per second; Pa, pascals; %, percent; g/cm3, grams per cubic centimeter; ------, not applicable] (DTN: GS000308311221.004) Saturated Water Water Soil unit hydraulic conductivity (simulated, alpha (1/Pa) n Porosity (%) Rock fragmen ts(%) Bulk Density (g/cm3) content at -0.1 bar water potential content at -60 bars water m/s) (%) potential (%) 1 5.6x10-6 0.00052 1.24 36.6 10.5 1.60 24.2 5.4 2 1.2x10-5 0.00062 1.31 31.5 11.6 1.73 17.3 2.3 3 1.3x10-5 0.00066 1.36 32.5 18.7 1.70 16.3 1.7 4 3.8x10-5 0.00087 1.62 28.1 21.9 1.81 7.3 0.2 5 6.7x10-6 0.00056 1.28 33.0 15.2 1.69 20.0 3.5 6 2.7x10-5 0.00074 1.40 33.9 11.7 1.66 15.0 1.1 7 5.6x10-6 0.00055 1.26 37.0 17.1 1.58 23.4 4.6 9 5.7x10-6 0.00055 1.30 32.2 19.1 1.72 18.9 2.8 ATTACHMENT V DEVELOPMENT OF DAILY CLIMATE INPUT USING DAILY09 V1.0 TOTAL PAGES: 30 Development of Daily Climate Input using DAILY09 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: DAILY09 V1.0 OS and hardware environment: Windows NT 4.0, Pentium Pro PC Computer Identification: SM321276 with a USGS specific host-name P720dcasr Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for DAILY09 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, v. 5.0. 3. General Description of routine/macro: DAILY09 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically for the analysis/model activity documented in this AMR. The routine source code (DAILY09.FOR), compiled executable file (DAILY09.EXE), routine control file (DAILY09.CTL), input and output files used for routine validation, supplemental files created as part of validation testing, and a copy of this attachment, are located under the directory DAILY09 on a CD-ROM labeled DAYINPUT-1. The routine source code, control file, and the input and output files are ASCII text files that can be read using any standard ASCII text editor and can be imported into standard word processing applications such as Microsoft Word. The executable file can be used to run DAILY09 V1.0 on any PC with an INTEL processor (with adequate RAM). 4. Test plan for the software routine DAILY09 V1.0: • Explain whether this is a routine or macro and describe what it does: DAILY09 V1.0 is a routine that creates a daily climate input file for INFIL. It reformats EARTHINFO precipitation and air temperature files into a format that can be used as input to INFIL V2.0. Daily climate records from the analog precipitation sites were exported from the EARTHINFO database (using the NCDC format option), and the exported files (Nogales.dat and Hobbs.dat) were provided as input to the program DAILY09, which reformats the NCDC format into the xyz column format required by INFIL V2.0. In addition to reformatting, DAILY09 also identifies gaps in the precipitation and the maximum and minimum air temperature records. Minor gaps (10 days or less for precipitation and 20 days or less for air temperature) are filled using an estimate of zero for precipitation and linear interpolation (arithmetic mean) between the days having records on either side of the gap for air temperature. Years having major gaps in the record are identified and omitted from the reformatted output. Average daily air temperature is estimated as the mean of the recorded maximum and minimum daily air temperatures. Output from DAILY09, which includes the average daily air temperature estimate, is provided directly as input to INFIL V2.0. • Listing of FORTRAN77 Source code: A listing of the FORTRAN77 source code for the routine DAILY09 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: To evaluate the accuracy of the functions performed by the routine, the test plan utilizes the auxiliary output files created by DAILY09 so that the individual functions can be tested separately. The primary function performed by the routine is the re-formatting of the EARTHINFO export file (exported using the NCDC export format option) consisting of the daily climate record for a selected monitoring site. The EARTHINFO exported file consists of measured daily precipitation (in hundredths of inches), daily maximum air temperature (in degrees Fahrenheit), daily minimum air temperature (in degrees Fahrenheit), and daily snowfall depth (in tenths of inches). It is an ASCII file with the data organized in a pseudo- matrix format. There are 4 test cases used to evaluate the accuracy of DAILY09 in performing its expected calculations and formatting: (1) A visual inspection to ascertain that the reformatting of the data from the pseudo-matrix (EARTHINFO) into the column format required for input into INFIL doesn’t change the values, (2) a visual inspection of the identification of gaps that eliminate years with gaps in precipitation > 10 days and air temperature > 20 days, (3) an arithmetic check to ensure that the mean of the maximum and minimum air temperature is correctly calculated for the day, and (4) a visual inspection of gaps in the record that identify gaps in precipitation < 10 days and insert zeros, and a visual and arithmetic check to ensure that gaps in air temperature < 20 days calculate a linear interpolation between the number preceding the gap and the number at the end of the gap. • Specify the range of input values to be used and why the range is valid: An example input is used for each test case that represents a random selection of values from the EARTHINFO output file that is transformed into the INFIL daily precipitation input file. A matching output file is used to determine if the transformation is accurate. 5. Test Results. • Output from test (explain difference between input range used and possible input): The output must provide, for each of the 4 test cases: (1) an accurate representation of the values reformatted, (2) the omission of years with gaps that exceed those number of days specified, (3) the correct averaging of minimum and maximum air temperatures for a given day to no greater accuracy than zero decimal places, and (4) the insertion of zeros into precipitation records that have gaps for < 10 days and the correct interpolation of air temperatures for gaps < 20 days, to no greater accuracy than zero decimal places. • Description of how the testing shows that the results are correct for the specified input: If the testing results in output that conforms to the above criteria then the results are correct for the specified input. • List limitations or assumptions to this test case and code in general: Limitations to the developed test case consist of the selection only of a small number of values that are assumed to be representative of the entire file. • Electronic files identified by name and location: The following electronic files including DAILY09 V1.0 and selected analog input and output files are provided: DAILY09.CTL: input file consisting of the input and output file names for BLOCKR7, along with parameters needed to perform the 36 blocking ridge angle calculations. DAILY09.FOR: FORTRAN source code listing for the routine BLOCKR7. A printout of the source code is included as part of this attachment. DAILY09.EXE: Executable file for the routine BLOCKR7, compiled for INTEL processors. ROSALIA.DAT: ASCII text file exported from the EARTHINFO NOAA daily climate records WEST2 database. This file is the input file to DAILY09 V1.0. ROSALIA.DAY: Auxiliary output file created by DAILY09 V1.0. The file contains all daily climate data provided by ROSALIA.DAT and is used to test for the proper re-formatting. The calculated average daily air temperature is included. This file is used only as part of the validation test for DAILY09. ROSALIA.INP: Primary output file created by DAILY09 V1.0. This file is used directly as input to INFIL V2.0 for defining the daily climate input parameters needed for simulating net infiltration. 6. Supporting Information. (Include background information, such as revision to a previous routine or macro, or explanation of the steps performed to run the software. Include listings of all electronic files and codes used). • Procedure for running routine: To run the routine DAILY09, an executable version of the code and all input files must be placed in the same directory. The routine is executed by typing DAILY09 in a DOS window or by double clicking on the file DAILY09.EXE in Windows NT. The input and output file names and the parameters used for the blocking ridge calculations must be in the correct sequential order as specified in the routine control file DAILY09.CTL (see example listing in this section) • Example listing of ROSALIA.DAT. This ASCII file is exported from EARTHINFO using the NCDC export format option. The data shown in this subset is for maximum daily air temperature (TMAX), followed by precipitation (PRCP), with the record starting in May (5) of 1948, continuing through November (11) of 1948. On the first 2 monthly records it is noted just above the top line how to read the file. Month 5 has no data (99999) for temperature, month 6 has data in degrees Fahrenheit. Tmax 1948 5 (May) 1 (Day) 2 (Day) 3 (Day) DLY45718002TMAX F19480599990310198-99999M10298-99999M10398-99999M10498-99999M10598- 99999M10698-99999M10798-99999M10898-99999M10998-99999M11098-99999M11198-99999M11298- 99999M11398-99999M11498-99999M11598-99999M11698-99999M11798-99999M11898-99999M11998- 99999M12098-99999M12198-99999M12298-99999M12398-99999M12498-99999M12598-99999M12698- 99999M12798-99999M12898-99999M12998-99999M13098-99999M13198-99999M1 Tmax 1948 6 (June) 1 77 (F) 2 81 (F) 3 67 (F) DLY45718002TMAX F19480699990310198 00077 10298 00081 10398 00067 10498 00066 10598 00079 10698 00084 10798 00088 10898 00086 10998 00087 11098 00077 11198 00069 11298 00074 11398 00071 11498 00076 11598 00071 11698 00066 11798 00069 11898 00073 11998 00077 12098 00065 12198 00061 12298 00069 12398 00075 12498 00069 12598 00077 12698 00077 12798 00081 12898 00086 12998 00091 13098 00083 13198-99999M1 DLY45718002PRCPHI19480599990310198-99999M10298-99999M10398-99999M10498-99999M10598- 99999M10698-99999M10798-99999M10898-99999M10998-99999M11098-99999M11198-99999M11298- 99999M11398-99999M11498-99999M11598-99999M11698-99999M11798-99999M11898-99999M11998- 99999M12098-99999M12198-99999M12298-99999M12398-99999M12498-99999M12598-99999M12698- 99999M12798-99999M12898-99999M12998-99999M13098-99999M13198-99999M1 DLY45718002PRCPHI19480699990310198 00000 10298 00000 10398 00000 10498 00017 10598 00001 10698 00000 10798 00000 10898 00000 10998 00000 11098 00040 11198 00000 11298 00057 11398 00005 11498 00002 11598 00000 11698 00046 11798 00012 11898 00000 11998 00000 12098 00000 12198 00034 12298 00005 12398 00004 12498 00000 12598 00005 12698 00005 12798 00000 12898 00000 12998 00000 13098 00002 13198-99999M1 • Example listing of ROSALIA.DAY. DAILY09 uses the EARTHINO data to reformat into *.DAY format prior to identification of gaps, conversions and averaging. When compared to the above EARTHINFO file it indicates that the reformatting done in DAILY09 is correct. This file also includes the conversion of air temperature from Fahrenheit to Celsius. June 1, 1948 in the EARTHINFO file above is 77 (F), June 2 is 81 (F). In file below the conversion results in June 1 = 25(C) and June 2 = 27.2(C), calculated as degrees C = (degrees F – 32) * (5/9). Output file generated using program DAILY09.FOR Output file = Rosalia.day Daily climate record for Rosalia, Washington GU1 Upper bound glacial transition climate analog (4/12/1999) Station ID = 457180 Dy = day Mo = month Yr = year Max = maximum Min = minimum Precip = total daily precipitation Temp = daily air temperature mm = millimeters deg C = degrees Celsius Data Flags: -999.9 = missing data value M = missing data flag A = accumulated measurement (multiple days) T = trace amount (less than measurement resolution) Record Dy Dy Max Min Snow Day of of Precip Temp Temp Fall Number Year Mo Mo Yr mm deg C deg C mm 54177 1948 5 1 122 -999.9 M -999.9 M -999.9 M -999.9 M 54178 1948 5 2 123 -999.9 M -999.9 M -999.9 M -999.9 M 54179 1948 5 3 124 -999.9 M -999.9 M -999.9 M -999.9 M 54180 1948 5 4 125 -999.9 M -999.9 M -999.9 M -999.9 M 54181 1948 5 5 126 -999.9 M -999.9 M -999.9 M -999.9 M 54182 1948 5 6 127 -999.9 M -999.9 M -999.9 M -999.9 M 54183 1948 5 7 128 -999.9 M -999.9 M -999.9 M -999.9 M 54184 1948 5 8 129 -999.9 M -999.9 M -999.9 M -999.9 M 54185 1948 5 9 130 -999.9 M -999.9 M -999.9 M -999.9 M 54186 1948 5 10 131 -999.9 M -999.9 M -999.9 M -999.9 M 54187 1948 5 11 132 -999.9 M -999.9 M -999.9 M -999.9 M 54188 1948 5 12 133 -999.9 M -999.9 M -999.9 M -999.9 M 54189 1948 5 13 134 -999.9 M -999.9 M -999.9 M -999.9 M 54190 1948 5 14 135 -999.9 M -999.9 M -999.9 M -999.9 M 54191 1948 5 15 136 -999.9 M -999.9 M -999.9 M -999.9 M 54192 1948 5 16 137 -999.9 M -999.9 M -999.9 M -999.9 M 54193 1948 5 17 138 -999.9 M -999.9 M -999.9 M -999.9 M 54194 1948 5 18 139 -999.9 M -999.9 M -999.9 M -999.9 M 54195 1948 5 19 140 -999.9 M -999.9 M -999.9 M -999.9 M 54196 1948 5 20 141 -999.9 M -999.9 M -999.9 M -999.9 M 54197 1948 5 21 142 -999.9 M -999.9 M -999.9 M -999.9 M 54198 1948 5 22 143 -999.9 M -999.9 M -999.9 M -999.9 M 54199 1948 5 23 144 -999.9 M -999.9 M -999.9 M -999.9 M 54200 1948 5 24 145 -999.9 M -999.9 M -999.9 M -999.9 M 54201 1948 5 25 146 -999.9 M -999.9 M -999.9 M -999.9 M 54202 1948 5 26 147 -999.9 M -999.9 M -999.9 M -999.9 M 54203 1948 5 27 148 -999.9 M -999.9 M -999.9 M -999.9 M 54204 1948 5 28 149 -999.9 M -999.9 M -999.9 M -999.9 M 54205 1948 5 29 150 -999.9 M -999.9 M -999.9 M -999.9 M • Example listing of ROSALIA.DAY. DAILY09 uses the EARTHINO data to reformat into *.DAY format prior to identification of gaps and averaging, but following conversion from Fahrenheit to Celsius. The file below is precipitation for 1971 (Dec), 1972 (all) and 1973 (Jan and Feb only), following the reformatting and conversion to Celsius. The year 1972 has large gaps and when compared to the final input file will be omitted. Output file generated using program DAILY09.FOR Output file = Rosalia.day Daily climate record for Rosalia, Washington GU1 Upper bound glacial transition climate analog (4/12/1999) Station ID = 457180 Dy = day Mo = month Yr = year Max = maximum Min = minimum Precip = total daily precipitation Temp = daily air temperature mm = millimeters deg C = degrees Celsius Data Flags: -999.9 = missing data value M = missing data flag A = accumulated measurement (multiple days) T = trace amount (less than measurement resolution) Record Dy Dy Max Min Snow Day of of Precip Temp Temp Fall Number Year Mo Mo Yr mm deg C deg C mm 54206 1948 5 30 151 -999.9 M -999.9 M -999.9 M -999.9 M 54207 1948 5 31 152 -999.9 M -999.9 M -999.9 M -999.9 M 54208 1948 6 1 153 0.0 25.0 7.8 0.0 54209 1948 6 2 154 0.0 27.2 7.2 0.0 54210 1948 6 3 155 0.0 19.4 10.0 0.0 54211 1948 6 4 156 4.3 18.9 8.9 0.0 54212 1948 6 5 157 0.3 26.1 7.2 0.0 54213 1948 6 6 158 0.0 28.9 8.9 0.0 54214 1948 6 7 159 0.0 31.1 8.9 0.0 54215 1948 6 8 160 0.0 30.0 10.6 0.0 54216 1948 6 9 161 0.0 30.6 15.0 0.0 54217 1948 6 10 162 10.2 25.0 9.4 0.0 54218 1948 6 11 163 0.0 20.6 10.6 0.0 54219 1948 6 12 164 14.5 23.3 7.2 0.0 54220 1948 6 13 165 1.3 21.7 11.7 0.0 54221 1948 6 14 166 0.5 24.4 7.2 0.0 54222 1948 6 15 167 0.0 21.7 10.6 0.0 54223 1948 6 16 168 11.7 18.9 10.0 0.0 54224 1948 6 17 169 3.0 20.6 7.2 0.0 54225 1948 6 18 170 0.0 22.8 6.7 0.0 54226 1948 6 19 171 0.0 25.0 7.2 0.0 54227 1948 6 20 172 0.0 18.3 8.3 0.0 54228 1948 6 21 173 8.6 16.1 8.3 0.0 54229 1948 6 22 174 1.3 20.6 6.7 0.0 54230 1948 6 23 175 1.0 23.9 7.2 0.0 54231 1948 6 24 176 0.0 20.6 7.8 0.0 54232 1948 6 25 177 1.3 25.0 5.6 0.0 54233 1948 6 26 178 1.3 25.0 6.7 0.0 54234 1948 6 27 179 0.0 27.2 6.7 0.0 54235 1948 6 28 180 0.0 30.0 8.9 0.0 54236 1948 6 29 181 0.0 32.8 9.4 0.0 54237 1948 6 30 182 0.5 28.3 14.4 0.0 Record Dy Dy Max Min Snow Day of of Precip Temp Temp Fall Number Year Mo Mo Yr mm deg C deg C mm 62791 1971 12 1 335 0.0 1.1 -3.9 0.0 62792 1971 12 2 336 0.0 3.9 -2.8 0.0 62793 1971 12 3 337 0.0 T 2.8 -4.4 0.0 T 62794 1971 12 4 338 0.0 1.7 -6.1 0.0 62795 1971 12 5 339 5.1 2.2 -1.7 63.5 62796 1971 12 6 340 0.0 2.8 -5.0 0.0 62797 1971 12 7 341 0.0 -2.8 -16.1 0.0 62798 1971 12 8 342 0.0 -6.7 -15.6 0.0 62799 1971 12 9 343 0.0 2.8 -7.8 0.0 62800 1971 12 10 344 0.0 2.2 -2.2 0.0 62801 1971 12 11 345 7.6 0.0 -8.9 50.8 62802 1971 12 12 346 2.0 1.1 -8.9 25.4 62803 1971 12 13 347 0.0 0.0 -9.4 0.0 62804 1971 12 14 348 0.0 0.6 -7.8 0.0 62805 1971 12 15 349 0.0 1.1 -7.2 0.0 62806 1971 12 16 350 3.6 -1.7 -13.3 76.2 62807 1971 12 17 351 0.0 4.4 -1.7 0.0 62808 1971 12 18 352 0.3 5.0 0.6 0.0 62809 1971 12 19 353 0.0 3.3 -3.3 0.0 62810 1971 12 20 354 0.0 0.6 -1.1 0.0 62811 1971 12 21 355 3.0 2.2 -0.6 12.7 62812 1971 12 22 356 2.0 3.9 0.0 0.0 62813 1971 12 23 357 0.3 5.6 -1.7 0.0 62814 1971 12 24 358 0.3 3.9 0.0 0.0 62815 1971 12 25 359 0.0 6.1 -0.6 0.0 62816 1971 12 26 360 0.0 3.3 -4.4 0.0 62817 1971 12 27 361 0.0 -3.3 -10.0 0.0 62818 1971 12 28 362 0.0 -1.7 -10.6 0.0 62819 1971 12 29 363 3.0 -4.4 -8.9 25.4 62820 1971 12 30 364 0.0 -5.0 -16.1 0.0 62821 1971 12 31 365 0.8 0.6 -9.4 25.4 62822 1972 1 1 1 0.0 0.6 -5.0 0.0 62823 1972 1 2 2 0.0 2.8 -2.8 0.0 62824 1972 1 3 3 0.0 -1.1 -12.8 0.0 62825 1972 1 4 4 0.0 -3.9 -12.2 0.0 62826 1972 1 5 5 1.3 -1.1 -6.7 2.5 62827 1972 1 6 6 0.0 2.2 -1.7 0.0 62828 1972 1 7 7 0.0 3.3 0.6 0.0 62829 1972 1 8 8 0.5 3.9 -3.3 12.7 62830 1972 1 9 9 0.0 2.8 -2.8 0.0 62831 1972 1 10 10 0.0 2.2 -5.0 0.0 62832 1972 1 11 11 1.8 1.7 -3.9 12.7 62833 1972 1 12 12 0.0 4.4 -3.9 0.0 62834 1972 1 13 13 0.0 -1.7 -11.7 0.0 62835 1972 1 14 14 0.0 -5.0 -12.2 0.0 62836 1972 1 15 15 0.0 -0.6 -6.7 0.0 62837 1972 1 16 16 0.0 2.8 -1.7 0.0 62838 1972 1 17 17 0.0 5.0 0.6 0.0 62839 1972 1 18 18 1.3 4.4 -2.8 12.7 62840 1972 1 19 19 7.6 3.9 -2.8 12.7 62841 1972 1 20 20 14.7 6.7 2.8 0.0 62842 1972 1 21 21 9.9 8.3 2.2 0.0 62843 1972 1 22 22 0.0 7.2 1.1 0.0 62844 1972 1 23 23 1.5 5.0 0.0 2.5 62845 1972 1 24 24 0.0 1.7 -4.4 0.0 62846 1972 1 25 25 8.9 -0.6 -7.2 101.6 62847 1972 1 26 26 5.6 -6.1 -16.7 76.2 62848 1972 1 27 27 0.0 -13.9 -18.9 0.0 62849 1972 1 28 28 0.0 -12.2 -18.9 0.0 62850 1972 1 29 29 2.0 -10.0 -18.3 12.7 62851 1972 1 30 30 0.0 -6.7 -18.9 0.0 62852 1972 1 31 31 0.0 -5.6 -16.1 0.0 62853 1972 2 1 32 2.3 -8.9 -20.6 38.1 62854 1972 2 2 33 0.0 -8.9 -23.3 0.0 62855 1972 2 3 34 0.0 -6.7 -23.9 0.0 62856 1972 2 4 35 0.0 -3.9 -21.1 0.0 Record Dy Dy Max Min Snow Day of of Precip Temp Temp Fall Number Year Mo Mo Yr mm deg C deg C mm 62857 1972 2 5 36 3.8 -3.3 -16.1 50.8 62858 1972 2 6 37 5.3 0.6 -7.8 76.2 62859 1972 2 7 38 0.0 1.7 -2.8 0.0 62860 1972 2 8 39 0.0 3.3 -2.8 0.0 62861 1972 2 9 40 0.0 2.8 -3.9 0.0 62862 1972 2 10 41 0.0 1.1 -6.7 0.0 62863 1972 2 11 42 0.0 1.7 -6.1 0.0 62864 1972 2 12 43 0.0 3.9 0.0 0.0 62865 1972 2 13 44 3.6 6.7 0.0 0.0 62866 1972 2 14 45 0.0 3.3 -1.7 0.0 62867 1972 2 15 46 5.1 2.2 -1.7 0.0 T 62868 1972 2 16 47 0.0 8.3 1.7 0.0 62869 1972 2 17 48 0.0 9.4 -2.2 0.0 62870 1972 2 18 49 4.1 2.8 -1.7 0.0 62871 1972 2 19 50 0.0 12.8 2.2 0.0 62872 1972 2 20 51 4.1 13.3 1.1 0.0 62873 1972 2 21 52 0.0 6.7 -1.1 0.0 62874 1972 2 22 53 1.8 8.3 0.0 0.0 62875 1972 2 23 54 0.0 6.1 -1.7 0.0 62876 1972 2 24 55 6.6 5.0 -1.1 50.8 62877 1972 2 25 56 0.0 6.1 -2.2 0.0 62878 1972 2 26 57 0.0 3.9 -2.8 0.0 62879 1972 2 27 58 7.6 11.1 0.6 0.0 62880 1972 2 28 59 0.0 12.8 7.2 0.0 62881 1972 2 29 60 0.0 13.9 0.0 0.0 62882 1972 3 1 61 0.0 5.0 -3.3 0.0 62883 1972 3 2 62 4.1 1.7 -2.2 25.4 62884 1972 3 3 63 0.0 5.0 -2.8 0.0 62885 1972 3 4 64 0.0 4.4 -2.8 0.0 62886 1972 3 5 65 2.0 9.4 -2.2 0.0 62887 1972 3 6 66 0.0 12.2 1.1 0.0 62888 1972 3 7 67 0.0 4.4 -3.9 0.0 62889 1972 3 8 68 0.0 4.4 -3.3 0.0 62890 1972 3 9 69 0.0 12.2 0.6 0.0 62891 1972 3 10 70 0.3 18.9 2.2 0.0 62892 1972 3 11 71 4.6 13.9 5.6 0.0 62893 1972 3 12 72 5.6 12.8 3.9 0.0 62894 1972 3 13 73 7.9 10.0 6.7 0.0 62895 1972 3 14 74 0.0 12.8 1.7 0.0 62896 1972 3 15 75 0.0 10.6 2.2 0.0 62897 1972 3 16 76 0.0 14.4 4.4 0.0 62898 1972 3 17 77 0.0 18.3 5.6 0.0 62899 1972 3 18 78 0.0 20.6 6.7 0.0 62900 1972 3 19 79 0.8 11.7 2.8 0.0 62901 1972 3 20 80 0.0 10.0 2.2 0.0 62902 1972 3 21 81 0.0 12.8 1.7 0.0 62903 1972 3 22 82 0.0 15.6 4.4 0.0 62904 1972 3 23 83 0.0 14.4 0.0 0.0 62905 1972 3 24 84 0.0 7.2 -0.6 0.0 62906 1972 3 25 85 2.3 8.9 -3.9 0.0 62907 1972 3 26 86 0.0 5.6 -3.9 0.0 62908 1972 3 27 87 0.0 5.0 -1.7 0.0 62909 1972 3 28 88 1.5 6.1 -1.1 25.4 62910 1972 3 29 89 0.0 7.2 -2.8 0.0 62911 1972 3 30 90 0.0 11.7 0.0 0.0 62912 1972 3 31 91 0.0 13.3 0.6 0.0 62913 1972 4 1 92 3.3 16.1 5.6 0.0 62914 1972 4 2 93 0.0 14.4 -3.9 0.0 62915 1972 4 3 94 0.0 10.0 -3.3 0.0 62916 1972 4 4 95 0.0 12.2 0.6 0.0 62917 1972 4 5 96 0.5 12.8 5.6 0.0 62918 1972 4 6 97 2.3 13.9 3.9 0.0 62919 1972 4 7 98 1.5 11.7 0.0 0.0 62920 1972 4 8 99 0.0 8.3 -0.6 0.0 62921 1972 4 9 100 1.5 8.9 -1.7 0.0 62922 1972 4 10 101 0.0 8.3 -3.3 0.0 Record Dy Dy Day of of Precip Number Year Mo Mo Yr mm Max Min Snow Temp Temp Fall deg C deg C mm 62923 1972 4 11 102 62924 1972 4 12 103 62925 1972 4 13 104 62926 1972 4 14 105 62927 1972 4 15 106 62928 1972 4 16 107 62929 1972 4 17 108 62930 1972 4 18 109 62931 1972 4 19 110 62932 1972 4 20 111 62933 1972 4 21 112 62934 1972 4 22 113 62935 1972 4 23 114 62936 1972 4 24 115 62937 1972 4 25 116 62938 1972 4 26 117 62939 1972 4 27 118 62940 1972 4 28 119 62941 1972 4 29 120 62942 1972 4 30 121 62943 1972 5 1 122 62944 1972 5 2 123 62945 1972 5 3 124 62946 1972 5 4 125 62947 1972 5 5 126 62948 1972 5 6 127 62949 1972 5 7 128 62950 1972 5 8 129 62951 1972 5 9 130 62952 1972 5 10 131 62953 1972 5 11 132 62954 1972 5 12 133 62955 1972 5 13 134 62956 1972 5 14 135 62957 1972 5 15 136 62958 1972 5 16 137 62959 1972 5 17 138 62960 1972 5 18 139 62961 1972 5 19 140 62962 1972 5 20 141 62963 1972 5 21 142 62964 1972 5 22 143 62965 1972 5 23 144 62966 1972 5 24 145 62967 1972 5 25 146 62968 1972 5 26 147 62969 1972 5 27 148 62970 1972 5 28 149 62971 1972 5 29 150 62972 1972 5 30 151 62973 1972 5 31 152 62974 1972 6 1 153 62975 1972 6 2 154 62976 1972 6 3 155 62977 1972 6 4 156 62978 1972 6 5 157 62979 1972 6 6 158 62980 1972 6 7 159 62981 1972 6 8 160 62982 1972 6 9 161 62983 1972 6 10 162 62984 1972 6 11 163 62985 1972 6 12 164 62986 1972 6 13 165 62987 1972 6 14 166 62988 1972 6 15 167 1.3 10.0 1.7 0.0 3.3 6.7 1.7 0.0 1.3 5.6 -2.2 0.0 0.0 8.3 -2.2 0.0 0.0 12.2 2.2 0.0 0.0 11.7 0.6 0.0 0.0 7.8 -2.8 0.0 0.0 5.6 -5.0 0.0 0.0 8.9 -3.9 0.0 0.0 12.8 0.0 0.0 0.0 12.8 3.3 0.0 0.0 9.4 -5.0 0.0 0.0 8.9 -1.1 0.0 0.0 21.1 7.2 0.0 0.0 13.3 0.6 0.0 0.0 11.7 -1.7 0.0 0.0 15.0 0.6 0.0 0.0 23.3 5.6 0.0 0.0 8.3 -3.3 0.0 0.0 10.6 -3.9 0.0 0.0 11.7 -3.3 0.0 0.0 16.7 0.6 0.0 0.0 20.6 2.8 0.0 0.0 22.2 4.4 0.0 0.0 23.3 4.4 0.0 0.0 22.2 8.3 0.0 0.0 18.9 5.6 0.0 16.8 15.6 4.4 0.0 24.4 6.7 2.8 0.0 1.8 8.9 4.4 0.0 0.0 15.6 5.6 0.0 0.0 17.8 6.7 0.0 0.0 21.7 8.3 0.0 0.0 25.0 7.2 0.0 0.0 23.9 10.0 0.0 0.0 21.1 8.3 0.0 0.0 22.2 9.4 0.0 2.3 15.0 2.2 0.0 0.0 14.4 3.9 0.0 0.0 25.0 8.9 0.0 0.0 22.2 8.3 0.0 5.6 9.4 6.1 0.0 0.0 15.6 3.3 0.0 0.0 14.4 3.3 0.0 0.0 13.9 0.6 0.0 0.0 18.3 3.9 0.0 0.0 22.8 8.3 0.0 0.0 27.2 12.2 0.0 0.0 28.3 12.2 0.0 0.0 31.1 13.3 0.0 0.0 29.4 13.9 0.0 -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M Record Dy Dy Day of of Precip Number Year Mo Mo Yr mm Max Min Snow Temp Temp Fall deg C deg C mm 62989 1972 6 16 168 62990 1972 6 17 169 62991 1972 6 18 170 62992 1972 6 19 171 62993 1972 6 20 172 62994 1972 6 21 173 62995 1972 6 22 174 62996 1972 6 23 175 62997 1972 6 24 176 62998 1972 6 25 177 62999 1972 6 26 178 63000 1972 6 27 179 63001 1972 6 28 180 63002 1972 6 29 181 63003 1972 6 30 182 63004 1972 7 1 183 63005 1972 7 2 184 63006 1972 7 3 185 63007 1972 7 4 186 63008 1972 7 5 187 63009 1972 7 6 188 63010 1972 7 7 189 63011 1972 7 8 190 63012 1972 7 9 191 63013 1972 7 10 192 63014 1972 7 11 193 63015 1972 7 12 194 63016 1972 7 13 195 63017 1972 7 14 196 63018 1972 7 15 197 63019 1972 7 16 198 63020 1972 7 17 199 63021 1972 7 18 200 63022 1972 7 19 201 63023 1972 7 20 202 63024 1972 7 21 203 63025 1972 7 22 204 63026 1972 7 23 205 63027 1972 7 24 206 63028 1972 7 25 207 63029 1972 7 26 208 63030 1972 7 27 209 63031 1972 7 28 210 63032 1972 7 29 211 63033 1972 7 30 212 63034 1972 7 31 213 63035 1972 8 1 214 63036 1972 8 2 215 63037 1972 8 3 216 63038 1972 8 4 217 63039 1972 8 5 218 63040 1972 8 6 219 63041 1972 8 7 220 63042 1972 8 8 221 63043 1972 8 9 222 63044 1972 8 10 223 63045 1972 8 11 224 63046 1972 8 12 225 63047 1972 8 13 226 63048 1972 8 14 227 63049 1972 8 15 228 63050 1972 8 16 229 63051 1972 8 17 230 63052 1972 8 18 231 63053 1972 8 19 232 63054 1972 8 20 233 -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M -999.9 M 0.0 27.8 6.1 0.0 0.0 23.3 7.8 0.0 0.0 23.9 8.3 0.0 0.0 26.7 7.8 0.0 0.0 31.1 6.7 0.0 0.0 32.2 16.1 0.0 5.8 33.3 10.6 0.0 0.0 27.8 11.1 0.0 1.5 25.6 8.9 0.0 0.0 20.0 3.3 0.0 3.0 21.1 9.4 0.0 0.0 20.0 10.6 0.0 0.0 29.4 15.6 0.0 0.0 26.7 8.3 0.0 0.0 27.2 6.1 0.0 0.0 27.8 7.2 0.0 0.0 29.4 10.6 0.0 0.0 28.3 10.0 0.0 0.0 26.7 9.4 0.0 0.0 20.6 10.6 0.0 5.6 21.7 8.9 0.0 0.5 18.3 8.9 0.0 0.0 27.2 10.6 0.0 0.0 28.9 9.4 0.0 0.0 24.4 10.0 0.0 0.0 28.9 7.2 0.0 0.0 30.6 8.3 0.0 0.0 29.4 8.9 0.0 0.0 33.9 10.0 0.0 0.0 35.0 12.8 0.0 0.0 33.9 11.1 0.0 0.0 33.3 11.7 0.0 0.0 30.0 7.8 0.0 0.0 28.3 8.9 0.0 0.0 30.6 7.8 0.0 0.0 32.8 8.9 0.0 0.0 35.0 10.0 0.0 0.0 37.2 10.6 0.0 0.0 38.3 14.4 0.0 0.0 39.4 18.3 0.0 0.0 35.0 12.8 0.0 0.0 32.8 11.7 0.0 0.0 29.4 12.2 0.0 0.0 27.2 11.7 0.0 0.0 26.7 7.8 0.0 0.0 32.2 13.3 0.0 21.6 A 23.3 7.8 0.0 0.5 23.9 10.0 0.0 0.0 20.0 5.0 0.0 0.0 26.7 6.7 0.0 0.0 25.6 10.0 0.0 Record Dy Dy Max Min Snow Day of of Precip Temp Temp Fall Number Year Mo Mo Yr mm deg C deg C mm 63055 1972 8 21 234 0.0 31.7 12.2 0.0 63056 1972 8 22 235 0.8 29.4 9.4 0.0 63057 1972 8 23 236 2.3 23.3 4.4 0.0 63058 1972 8 24 237 0.0 23.9 7.2 0.0 63059 1972 8 25 238 0.0 26.1 8.9 0.0 63060 1972 8 26 239 0.0 31.1 11.7 0.0 63061 1972 8 27 240 0.0 32.8 11.7 0.0 63062 1972 8 28 241 0.0 35.0 13.3 0.0 63063 1972 8 29 242 0.0 36.7 11.7 0.0 63064 1972 8 30 243 0.0 33.3 10.0 0.0 63065 1972 8 31 244 0.0 25.6 2.2 0.0 63066 1972 9 1 245 0.0 26.1 4.4 0.0 63067 1972 9 2 246 0.0 26.7 2.8 0.0 63068 1972 9 3 247 0.0 29.4 5.6 0.0 63069 1972 9 4 248 0.0 30.0 5.0 0.0 63070 1972 9 5 249 0.0 31.1 9.4 0.0 63071 1972 9 6 250 0.0 22.2 5.6 0.0 63072 1972 9 7 251 0.0 19.4 3.3 0.0 63073 1972 9 8 252 0.0 22.2 7.2 0.0 63074 1972 9 9 253 0.5 23.9 5.6 0.0 63075 1972 9 10 254 0.0 18.3 0.6 0.0 63076 1972 9 11 255 0.0 20.6 1.1 0.0 63077 1972 9 12 256 6.6 21.1 6.7 0.0 63078 1972 9 13 257 0.3 13.3 1.7 0.0 63079 1972 9 14 258 0.0 22.2 3.3 0.0 63080 1972 9 15 259 0.0 25.0 4.4 0.0 63081 1972 9 16 260 0.0 25.6 6.7 0.0 63082 1972 9 17 261 0.0 25.0 10.6 0.0 63083 1972 9 18 262 0.0 20.6 2.2 0.0 63084 1972 9 19 263 0.0 22.2 6.7 0.0 63085 1972 9 20 264 0.3 14.4 3.9 0.0 63086 1972 9 21 265 0.0 15.0 3.3 0.0 63087 1972 9 22 266 7.6 19.4 1.1 0.0 63088 1972 9 23 267 5.1 14.4 2.2 0.0 63089 1972 9 24 268 3.0 12.8 0.6 0.0 63090 1972 9 25 269 0.0 10.6 -2.2 0.0 63091 1972 9 26 270 0.0 12.2 -0.6 0.0 63092 1972 9 27 271 0.0 13.9 -3.3 0.0 63093 1972 9 28 272 0.0 11.7 -1.7 0.0 63094 1972 9 29 273 0.0 14.4 -0.6 0.0 63095 1972 9 30 274 0.0 18.3 0.0 0.0 63096 1972 10 1 275 0.0 23.3 1.1 0.0 63097 1972 10 2 276 0.0 22.8 4.4 0.0 63098 1972 10 3 277 0.0 23.9 2.8 0.0 63099 1972 10 4 278 0.0 23.3 3.3 0.0 63100 1972 10 5 279 0.0 19.4 2.8 0.0 63101 1972 10 6 280 0.0 20.0 -3.9 0.0 63102 1972 10 7 281 0.0 20.0 -2.8 0.0 63103 1972 10 8 282 0.0 21.7 -1.7 0.0 63104 1972 10 9 283 0.0 23.9 3.9 0.0 63105 1972 10 10 284 0.0 18.3 5.6 0.0 63106 1972 10 11 285 4.8 14.4 3.9 0.0 63107 1972 10 12 286 0.0 15.0 1.7 0.0 63108 1972 10 13 287 0.0 18.3 1.7 0.0 63109 1972 10 14 288 0.0 11.1 3.9 0.0 63110 1972 10 15 289 0.0 18.3 -1.7 0.0 63111 1972 10 16 290 0.0 16.7 -1.1 0.0 63112 1972 10 17 291 0.0 17.8 0.0 0.0 63113 1972 10 18 292 0.0 17.2 -1.7 0.0 63114 1972 10 19 293 0.0 18.3 -2.8 0.0 63115 1972 10 20 294 0.0 17.2 -3.3 0.0 63116 1972 10 21 295 0.0 17.2 -1.1 0.0 63117 1972 10 22 296 0.0 17.8 1.1 0.0 63118 1972 10 23 297 0.0 18.9 2.8 0.0 63119 1972 10 24 298 0.0 13.9 -4.4 0.0 63120 1972 10 25 299 0.0 12.8 -2.2 0.0 Record Dy Dy Max Min Snow Day of of Precip Temp Temp Fall Number Year Mo Mo Yr mm deg C deg C mm 63121 1972 10 26 300 0.5 17.2 -0.6 0.0 63122 1972 10 27 301 0.3 9.4 -3.3 0.0 63123 1972 10 28 302 0.0 T 7.2 -3.9 0.0 T 63124 1972 10 29 303 8.6 3.9 -3.9 0.0 63125 1972 10 30 304 0.0 3.3 -5.0 0.0 63126 1972 10 31 305 0.0 2.2 -3.3 0.0 63127 1972 11 1 306 0.0 4.4 -1.1 0.0 63128 1972 11 2 307 3.8 5.0 1.1 0.0 63129 1972 11 3 308 0.0 11.1 3.9 0.0 63130 1972 11 4 309 6.4 11.1 4.4 0.0 63131 1972 11 5 310 2.3 12.2 2.8 0.0 63132 1972 11 6 311 0.0 9.4 0.0 0.0 63133 1972 11 7 312 0.0 10.0 2.8 0.0 63134 1972 11 8 313 0.0 11.7 3.3 0.0 63135 1972 11 9 314 0.0 4.4 0.6 0.0 63136 1972 11 10 315 0.0 10.0 1.7 0.0 63137 1972 11 11 316 0.0 11.7 1.1 0.0 63138 1972 11 12 317 0.0 11.1 2.8 0.0 63139 1972 11 13 318 0.0 5.6 -1.1 0.0 63140 1972 11 14 319 0.0 11.1 0.0 0.0 63141 1972 11 15 320 0.5 10.6 0.6 0.0 63142 1972 11 16 321 0.0 10.0 0.6 0.0 63143 1972 11 17 322 0.0 13.3 1.1 0.0 63144 1972 11 18 323 0.0 6.1 2.2 0.0 63145 1972 11 19 324 1.5 7.8 1.1 0.0 63146 1972 11 20 325 0.0 7.2 -1.1 0.0 63147 1972 11 21 326 0.0 4.4 -2.8 0.0 63148 1972 11 22 327 0.0 6.1 -3.3 0.0 63149 1972 11 23 328 0.0 6.1 -2.8 0.0 63150 1972 11 24 329 0.0 2.8 -1.7 0.0 63151 1972 11 25 330 0.0 3.9 -1.7 0.0 63152 1972 11 26 331 5.8 3.9 -1.7 0.0 63153 1972 11 27 332 0.0 5.6 -5.6 0.0 63154 1972 11 28 333 0.0 3.9 -5.0 0.0 63155 1972 11 29 334 0.0 3.3 -5.0 0.0 63156 1972 11 30 335 0.0 2.8 -0.6 0.0 63157 1972 12 1 336 0.0 4.4 1.1 0.0 63158 1972 12 2 337 1.8 8.9 -0.6 0.0 63159 1972 12 3 338 0.0 5.0 -8.9 0.0 63160 1972 12 4 339 0.0 -5.6 -15.0 0.0 63161 1972 12 5 340 0.0 -7.8 -16.7 0.0 63162 1972 12 6 341 0.0 -7.8 -14.4 0.0 63163 1972 12 7 342 0.0 -10.6 -15.6 0.0 63164 1972 12 8 343 0.0 -11.1 -21.7 0.0 63165 1972 12 9 344 0.0 -12.2 -23.3 0.0 63166 1972 12 10 345 0.0 -10.0 -23.9 0.0 63167 1972 12 11 346 0.0 -11.1 -17.8 0.0 63168 1972 12 12 347 2.5 -7.2 -12.2 50.8 63169 1972 12 13 348 1.8 -6.1 -21.1 63.5 63170 1972 12 14 349 0.0 -8.3 -19.4 0.0 63171 1972 12 15 350 0.0 -2.8 -12.2 0.0 63172 1972 12 16 351 0.0 0.6 -8.9 0.0 63173 1972 12 17 352 6.6 3.3 0.0 0.0 63174 1972 12 18 353 6.6 4.4 1.1 0.0 63175 1972 12 19 354 3.8 7.2 1.7 0.0 63176 1972 12 20 355 0.0 7.8 3.3 0.0 63177 1972 12 21 356 6.9 9.4 3.3 0.0 63178 1972 12 22 357 13.0 10.6 3.3 0.0 63179 1972 12 23 358 0.0 7.2 2.8 0.0 63180 1972 12 24 359 13.2 6.1 1.1 0.0 63181 1972 12 25 360 0.0 5.0 0.6 0.0 63182 1972 12 26 361 0.0 9.4 2.2 0.0 63183 1972 12 27 362 1.3 8.3 3.3 0.0 63184 1972 12 28 363 1.8 8.9 -0.6 0.0 63185 1972 12 29 364 0.0 3.9 -4.4 0.0 63186 1972 12 30 365 0.0 1.7 -4.4 0.0 • Example listing of ROSALIA.INP. This is the main output file from DAILY09 V1.0, generated using the exported EARTHINFO record for Rosalia, WA. The file is used directly as input to INFIL V2.0. The file includes 1971 and 1973. As the data from the entire month of June in 1972 was missing in the above file, it is omitted from the final file indicated below. This verifies the omission of years when the gap identified is large (> 10 days for precipitation and > 20 for air temperature). In addition, the following file illustrates the additional column of mean air temperature calculated as (TMAX+TMIN)/2. Output file generated using program DAILY09.FOR Output file = Rosalia.inp Daily climate record for Rosalia, Washington GU1 Upper bound glacial transition climate analog (4/12/1999) Station ID = 457180 Dy = day Mo = month Yr = year Max = maximum Record Dy Dy Max Min Snow Day of of Precip Temp Temp Fall Number Year Mo Mo Yr mm deg C deg C mm 63187 1972 12 31 366 0.0 0.6 -4.4 0.0 63188 1973 1 1 1 0.0 1.1 -3.9 0.0 63189 1973 1 2 2 0.0 3.9 -5.0 0.0 63190 1973 1 3 3 0.0 2.2 -8.9 0.0 63191 1973 1 4 4 0.0 -1.7 -13.9 0.0 63192 1973 1 5 5 0.0 -5.6 -12.8 0.0 63193 1973 1 6 6 0.0 -7.8 -16.7 0.0 63194 1973 1 7 7 0.0 -6.7 -17.2 0.0 63195 1973 1 8 8 0.0 -9.4 -16.1 0.0 63196 1973 1 9 9 0.0 -7.8 -15.6 0.0 63197 1973 1 10 10 0.0 -5.0 -16.1 0.0 63198 1973 1 11 11 5.6 -2.8 -15.6 25.4 63199 1973 1 12 12 8.4 2.8 -6.7 0.0 T 63200 1973 1 13 13 13.5 6.1 -3.9 0.0 63201 1973 1 14 14 1.3 8.9 4.4 0.0 63202 1973 1 15 15 0.0 11.1 4.4 0.0 63203 1973 1 16 16 5.6 10.6 3.9 0.0 63204 1973 1 17 17 4.3 7.2 0.6 0.0 63205 1973 1 18 18 0.0 7.2 0.0 0.0 63206 1973 1 19 19 0.0 5.0 -1.7 0.0 63207 1973 1 20 20 0.0 1.7 -2.8 0.0 63208 1973 1 21 21 2.5 0.6 -4.4 12.7 63209 1973 1 22 22 0.0 2.8 -5.0 0.0 63210 1973 1 23 23 0.0 1.7 -5.6 0.0 63211 1973 1 24 24 0.0 5.6 -1.1 0.0 63212 1973 1 25 25 0.0 4.4 0.0 0.0 63213 1973 1 26 26 0.0 4.4 -6.1 0.0 63214 1973 1 27 27 0.0 2.8 -6.7 0.0 63215 1973 1 28 28 0.0 3.9 -6.1 0.0 63216 1973 1 29 29 0.0 6.1 -3.3 0.0 63217 1973 1 30 30 3.0 2.8 -3.3 12.7 63218 1973 1 31 31 4.1 4.4 -1.7 25.4 63219 1973 2 1 32 0.0 2.2 -3.9 0.0 63220 1973 2 2 33 0.0 5.0 -3.9 0.0 63221 1973 2 3 34 0.0 6.1 0.6 0.0 63222 1973 2 4 35 0.0 5.6 -1.7 0.0 63223 1973 2 5 36 0.0 3.9 -3.9 0.0 63224 1973 2 6 37 0.0 2.8 -5.6 0.0 63225 1973 2 7 38 0.0 0.0 -6.7 0.0 63226 1973 2 8 39 0.0 3.9 -8.9 0.0 63227 1973 2 9 40 0.0 4.4 -8.9 0.0 63228 1973 2 10 41 0.0 2.2 -5.0 0.0 Min = minimum Precip = total daily precipitation Temp = daily air temperature mm = millimeters deg C = degrees Celsius Data Flags: -999.9 = missing data M = missing data flag A = accumulated measurement (multiple days) T = trace amount (less than measurement resolution) C1 = calculated value (type 1 calculation) E1 = estimated value (type 1 estimation) E2 = estimated value (type 2 estimation) E3 = estimated value (type 3 estimation) Record Dy Dy Max Min Mean Snow Day of of Precip Temp Temp Temp Fall Number Year Mo Mo Yr mm deg C deg C deg C mm 62791 1971 12 1 335 0.0 1.1 -3.9 -1.4 C1 0.0 62792 1971 12 2 336 0.0 3.9 -2.8 0.6 C1 0.0 62793 1971 12 3 337 0.0 T 2.8 -4.4 -0.8 C1 0.0 T 62794 1971 12 4 338 0.0 1.7 -6.1 -2.2 C1 0.0 62795 1971 12 5 339 5.1 2.2 -1.7 0.3 C1 63.5 62796 1971 12 6 340 0.0 2.8 -5.0 -1.1 C1 0.0 62797 1971 12 7 341 0.0 -2.8 -16.1 -9.4 C1 0.0 62798 1971 12 8 342 0.0 -6.7 -15.6 -11.1 C1 0.0 62799 1971 12 9 343 0.0 2.8 -7.8 -2.5 C1 0.0 62800 1971 12 10 344 0.0 2.2 -2.2 0.0 C1 0.0 62801 1971 12 11 345 7.6 0.0 -8.9 -4.4 C1 50.8 62802 1971 12 12 346 2.0 1.1 -8.9 -3.9 C1 25.4 62803 1971 12 13 347 0.0 0.0 -9.4 -4.7 C1 0.0 62804 1971 12 14 348 0.0 0.6 -7.8 -3.6 C1 0.0 Record Dy Dy Max Min Mean Snow Day of of Precip Temp Temp Temp Fall Number Year Mo Mo Yr mm deg C deg C deg C mm 62805 1971 12 15 349 0.0 1.1 -7.2 -3.1 C1 0.0 62806 1971 12 16 350 3.6 -1.7 -13.3 -7.5 C1 76.2 62807 1971 12 17 351 0.0 4.4 -1.7 1.4 C1 0.0 62808 1971 12 18 352 0.3 5.0 0.6 2.8 C1 0.0 62809 1971 12 19 353 0.0 3.3 -3.3 0.0 C1 0.0 62810 1971 12 20 354 0.0 0.6 -1.1 -0.3 C1 0.0 62811 1971 12 21 355 3.0 2.2 -0.6 0.8 C1 12.7 62812 1971 12 22 356 2.0 3.9 0.0 1.9 C1 0.0 62813 1971 12 23 357 0.3 5.6 -1.7 1.9 C1 0.0 62814 1971 12 24 358 0.3 3.9 0.0 1.9 C1 0.0 62815 1971 12 25 359 0.0 6.1 -0.6 2.8 C1 0.0 62816 1971 12 26 360 0.0 3.3 -4.4 -0.6 C1 0.0 62817 1971 12 27 361 0.0 -3.3 -10.0 -6.7 C1 0.0 62818 1971 12 28 362 0.0 -1.7 -10.6 -6.1 C1 0.0 62819 1971 12 29 363 3.0 -4.4 -8.9 -6.7 C1 25.4 62820 1971 12 30 364 0.0 -5.0 -16.1 -10.6 C1 0.0 62821 1971 12 31 365 0.8 0.6 -9.4 -4.4 C1 25.4 63188 1973 1 1 1 0.0 1.1 -3.9 -1.4 C1 0.0 63189 1973 1 2 2 0.0 3.9 -5.0 -0.6 C1 0.0 63190 1973 1 3 3 0.0 2.2 -8.9 -3.3 C1 0.0 63191 1973 1 4 4 0.0 -1.7 -13.9 -7.8 C1 0.0 63192 1973 1 5 5 0.0 -5.6 -12.8 -9.2 C1 0.0 63193 1973 1 6 6 0.0 -7.8 -16.7 -12.2 C1 0.0 63194 1973 1 7 7 0.0 -6.7 -17.2 -11.9 C1 0.0 63195 1973 1 8 8 0.0 -9.4 -16.1 -12.8 C1 0.0 63196 1973 1 9 9 0.0 -7.8 -15.6 -11.7 C1 0.0 63197 1973 1 10 10 0.0 -5.0 -16.1 -10.6 C1 0.0 63198 1973 1 11 11 5.6 -2.8 -15.6 -9.2 C1 25.4 63199 1973 1 12 12 8.4 2.8 -6.7 -1.9 C1 0.0 T 63200 1973 1 13 13 13.5 6.1 -3.9 1.1 C1 0.0 63201 1973 1 14 14 1.3 8.9 4.4 6.7 C1 0.0 63202 1973 1 15 15 0.0 11.1 4.4 7.8 C1 0.0 63203 1973 1 16 16 5.6 10.6 3.9 7.2 C1 0.0 63204 1973 1 17 17 4.3 7.2 0.6 3.9 C1 0.0 63205 1973 1 18 18 0.0 7.2 0.0 3.6 C1 0.0 63206 1973 1 19 19 0.0 5.0 -1.7 1.7 C1 0.0 63207 1973 1 20 20 0.0 1.7 -2.8 -0.6 C1 0.0 63208 1973 1 21 21 2.5 0.6 -4.4 -1.9 C1 12.7 63209 1973 1 22 22 0.0 2.8 -5.0 -1.1 C1 0.0 63210 1973 1 23 23 0.0 1.7 -5.6 -1.9 C1 0.0 63211 1973 1 24 24 0.0 5.6 -1.1 2.2 C1 0.0 63212 1973 1 25 25 0.0 4.4 0.0 2.2 C1 0.0 63213 1973 1 26 26 0.0 4.4 -6.1 -0.8 C1 0.0 63214 1973 1 27 27 0.0 2.8 -6.7 -1.9 C1 0.0 63215 1973 1 28 28 0.0 3.9 -6.1 -1.1 C1 0.0 63216 1973 1 29 29 0.0 6.1 -3.3 1.4 C1 0.0 63217 1973 1 30 30 3.0 2.8 -3.3 -0.3 C1 12.7 63218 1973 1 31 31 4.1 4.4 -1.7 1.4 C1 25.4 63219 1973 2 1 32 0.0 2.2 -3.9 -0.8 C1 0.0 63220 1973 2 2 33 0.0 5.0 -3.9 0.6 C1 0.0 63221 1973 2 3 34 0.0 6.1 0.6 3.3 C1 0.0 63222 1973 2 4 35 0.0 5.6 -1.7 1.9 C1 0.0 63223 1973 2 5 36 0.0 3.9 -3.9 0.0 C1 0.0 63224 1973 2 6 37 0.0 2.8 -5.6 -1.4 C1 0.0 63225 1973 2 7 38 0.0 0.0 -6.7 -3.3 C1 0.0 63226 1973 2 8 39 0.0 3.9 -8.9 -2.5 C1 0.0 63227 1973 2 9 40 0.0 4.4 -8.9 -2.2 C1 0.0 63228 1973 2 10 41 0.0 2.2 -5.0 -1.4 C1 0.0 • Example listing of ROSALIA.DAY indicating small gaps in precipitation and air temperature data. Output file generated using program DAILY09.FOR Output file = Rosalia.day Daily climate record for Rosalia, Washington GU1 Upper bound glacial transition climate analog (4/12/1999) Station ID = 457180 Dy = day Mo = month Yr = year Max = maximum Min = minimum Precip = total daily precipitation Temp = daily air temperature mm = millimeters deg C = degrees Celsius Data Flags: -999.9 = missing data value M = missing data flag A = accumulated measurement (multiple days) T = trace amount (less than measurement resolution) • Example listing of ROSALIA.INP illustrating that the gap in precipitation is replaced by a zero, and the gap in air temperature is replaced with a linear interpolation between the numbers on either side of the gap. Output file generated using program DAILY09.FOR Output file = Rosalia.inp Daily climate record for Rosalia, Washington GU1 Upper bound glacial transition climate analog (4/12/1999) Station ID = 457180 Dy = day Mo = month Yr = year Max = maximum Min = minimum Precip = total daily precipitation Temp = daily air temperature mm = millimeters deg C = degrees Celsius Record Dy Dy Max Min Snow Day of of Precip Temp Temp Fall Number Year Mo Mo Yr mm deg C deg C mm 71263 1995 2 10 41 0.0 8.3 -1.7 0.0 71264 1995 2 11 42 0.0 6.1 -2.8 0.0 71265 1995 2 12 43 0.0 1.1 -8.9 0.0 71266 1995 2 13 44 -999.9 M -6.7 -12.2 -999.9 M 71267 1995 2 14 45 0.8 -7.2 -12.2 12.7 71268 1995 2 15 46 0.0 -6.7 -11.7 0.0 71269 1995 2 16 47 3.8 2.2 -999.9 M 50.8 71270 1995 2 17 48 13.7 4.4 0.0 0.0 71271 1995 2 18 49 0.0 7.8 1.1 0.0 71272 1995 2 19 50 8.9 11.1 2.8 0.0 71273 1995 2 20 51 5.8 13.3 8.3 0.0 Data Flags: -999.9 = missing data M = missing data flag A = accumulated measurement (multiple days) T = trace amount (less than measurement resolution) C1 = calculated value (type 1 calculation) E1 = estimated value (type 1 estimation) E2 = estimated value (type 2 estimation) E3 = estimated value (type 3 estimation) Record Dy Dy Day of of Precip Number Year Mo Mo Yr mm Max Min Mean Snow Temp Temp Temp Fall deg C deg C deg C mm 71263 1995 2 10 41 0.0 71264 1995 2 11 42 0.0 71265 1995 2 12 43 0.0 71266 1995 2 13 44 0.0 E1 71267 1995 2 14 45 0.8 71268 1995 2 15 46 0.0 71269 1995 2 16 47 3.8 71270 1995 2 17 48 13.7 71271 1995 2 18 49 0.0 71272 1995 2 19 50 8.9 71273 1995 2 20 51 5.8 8.3 -1.7 3.3 C1 0.0 6.1 -2.8 1.7 C1 0.0 1.1 -8.9 -3.9 C1 0.0 -6.7 -12.2 -9.4 C1 -999.9 M -7.2 -12.2 -9.7 C1 12.7 -6.7 -11.7 -9.2 C1 0.0 2.2 -5.8 E2 -1.8 C1 50.8 4.4 0.0 2.2 C1 0.0 7.8 1.1 4.4 C1 0.0 11.1 2.8 6.9 C1 0.0 13.3 8.3 10.8 C1 0.0 • Listing of source code for routine DAILY09 V1.0: program daily09 c version 1.0 c c c---- This routine is used to compile and re-format c EarthInfo NCDC (cr/lf) format export files c (daily NOAA climate data) into a single c ASCII (column format) daily climate input file used as c input to INFIL version 2.0. c c The routine also estimates data values in cases of missing data, c or skips years if record is too incomplete. Criteria for c skipping years due to excessive data gaps is currently c hard-wired into the code: c c current settings allow for daily precip gaps of 10 days or less c and daily air temperature gaps of 20 days or less. c If gaps are exceeded the entire year is excluded from c the developed daily climate file. Gaps in the snowfall c record are allowed because this parameter is c not used directly as input by INFIL version 2.0. c c program written by Joe Hevesi, U.S. Geological Survey, WRD c c c---- NCDC export format input variables (NCDCfile) character*20 NCDCfile character*3 dly character*6 statid,station character*2 code1 character*4 dtype character*2 dunit integer*4 dyear integer*2 dmonth character*6 df1 character*1 df2(31) integer dday(31) integer df3(31) real ddat(31) character*1 dflag(31) c c----calendar variables (good for dates 01/01/1800 - 12/31/2000) integer yr(100000),mo(100000),dy(100000) integer lpyr(1800:2000) integer ndmon(12) integer ndmonth(1800:2000,12) integer modays integer iday(1800:2000,12,31) integer nday,iprcp,itmax,itmin,isnow integer nend,nbeg,n10,n20,n30,n40 c c----precip data variables real ppt(100000) character*2 pflg(100000) real moppt,yrppt,aappt integer ndmoppt,n1 integer imisppt(1800:2000) c c----max air temp data variables real tmax(100000) character*2 tmaxflg(100000) real motmax,yrtmax,tmax0,tmax1,tmax2,aatmax integer ndmotmax,nmistmax,n2 integer imistmax(1800:2000) c c----min air temp data variables real tmin(100000) character*2 tminflg(100000) real motmin,yrtmin,tmin0,tmin1,tmin2,aatmin integer ndmotmin,nmistmin,n3 integer imistmin(1800:2000) c c----average air temp data variables real tavg(100000) character*2 tavgflg(100000) real yrtavg,aatavg c c----snow fall data variables real snow(100000) character*2 snowflg(100000) real mosnow,yrsnow integer ndmosnow,n4 c c----output variables character*20 outfile,outfil2,monthfil,yearfile character*120 header,headout1,headout2 integer iout(100000) real maxppt c c c---- start program c==== Import EARTH-INFO NCDC export files c ----------------------------------c---- open EARTH-INFO NCDC export files open(unit=8,file=NCDCfile) c c---- open output files c outfile (unit 18) = compiled NCDC data output c outfil2 (unit 19) = daily climate input file for infil model c monthfil (unit 20) = monthly summary file c yearfile (unit 21) = yearly summary file open(unit=18,file=outfile) open(unit=19,file=outfil2) open(unit=20,file=monthfil) open(unit=21,file=yearfile) c write(18,11) write(18,21) outfile write(18,1) headout1 write(18,1) headout2 write(19,11) write(19,21) outfil2 write(19,1) headout1 write(19,1) headout2 write(20,11) write(20,21) monthfil write(20,1) headout1 write(20,1) headout2 write(21,11) write(21,21) yearfile write(21,1) headout1 write(21,1) headout2 c C---- Set up months and leap years for up to 200 years starting at 1800 c 1 format(a) 11 format('Output file generated using program DAILY09.FOR') 21 format('Output file = ',a20) open(unit=7,file='daily09.ctl') read(7,1) header read(7,1) headout1 read(7,1) headout2 read(7,1) NCDCfile read(7,1) outfile read(7,1) outfil2 read(7,1) monthfil read(7,1) yearfile c c c---- set up calendar counters for checking NCDC input c and initialize record input arrays c date 01/01/1800 = day 1 for input record array c this algorithm works only for dates 01/01/1800 through 12/31/2000 c nday = 0 do 50 i = 1800,2000 do 50 j = 1,12 ndmon2 = ndmon(j) if((j.eq.2).and.(lpyr(i).eq.1)) ndmon2 = 29 ndmonth(i,j) = ndmon2 do 50 k = 1,ndmon2 nday = nday + 1 iday(i,j,k) = nday ppt(nday) = -999.9 tmax(nday) = -999.9 tmin(nday) = -999.9 snow(nday) = -999.0 c pflg(nday) = 'M' tmaxflg(nday) = 'M' tminflg(nday) = 'M' snowflg(nday) = 'M' 50 continue nbeg = iday(2000,12,31) nend = 1 c c initialize array counters iprcp = 0 itmax = 0 itmin = 0 isnow = 0 c c initialize monthly statistics moppt = 0. maxppt = -999. maxflg = '-9' nmpflg = 0 napflg = 0 ntpflg = 0 nmtmxflg = 0 natmxflg = 0 nttmxflg = 0 c initialize flags for identifying incomplete years do i2 = 1800,2000 lpyr(i2) = 0 imisppt(i2) = 0 imistmax(i2) = 0 imistmin(i2) = 0 enddo do i2 = 1800,2000,4 lpyr(i2) = 1 enddo lpyr(1800) = 0 lpyr(1900) = 0 C ndmon(1) = 31 ndmon(2) = 28 ndmon(3) = 31 ndmon(4) = 30 ndmon(5) = 31 ndmon(6) = 30 ndmon(7) = 31 ndmon(8) = 31 ndmon(9) = 30 ndmon(10) = 31 ndmon(11) = 30 ndmon(12) = 31 C C nmtmnflg = 0 natmnflg = 0 nttmnflg = 0 nmsnoflg = 0 nasnoflg = 0 ntsnoflg = 0 ndaymo = 0 n1 = 0 n2 = 0 n3 = 0 n4 = 0 c c---- Read in NCDC format daily data by month (each line = 31 days) c ndat = 1 200 read(8,101,end=900) dly,statid,code1,dtype,dunit, c------- check station id if(ndat.eq.1) then station = statid ndat = 0 else if(statid.ne.station) stop endif c c-------import daily precip data if(dtype.eq.'PRCP') then if(iprcp.eq.0) then n10 = iday(dyear,dmonth,dday(1)) n1 = n10 - 1 iprcp = 1 if(n10.lt.nbeg) nbeg = n10 endif moppt = 0. motmax = 0. motmin = 0. mosnow = 0. c c read-in daily precip data for each month do 300 j = 1,ndmonth(dyear,dmonth) n1 = n1 + 1 ndaymo = ndaymo + 1 yr(n1) = dyear mo(n1) = dmonth dy(n1) = dday(j) c c get precip data (convert HIN to mm) if(ddat(j).ne.-99999.) then ppt(n1) = 0.254*ddat(j) moppt = moppt + ppt(n1) if(ppt(n1).gt.maxppt) maxppt = ppt(n1) else ppt(n1) = -999.9 endif pflg(n1) = dflag(j) if(pflg(n1).eq.'M') nmpflg = nmpflg + 1 if(pflg(n1).eq.'A') napflg = napflg + 1 if(pflg(n1).eq.'T') ntpflg = ntpflg + 1 c 300 continue c 1 dyear,dmonth,df1, 2 (df2(i),dday(i),df3(i),ddat(i),dflag(i),i=1,31) c 101 format(a3,a6,a2,a4,a2, 1 i4,i2,a6, 2 31(a1,i2,i2,f6.0,a1)) c c------- c c c c c c 310 c c------- c c c c c c 320 c c------- import maximum daily air temp data else if(dtype.eq.'TMAX') then if(itmax.eq.0) then n20 = iday(dyear,dmonth,dday(1)) n2 = n20 - 1 itmax= 1 if(n20.lt.nbeg) nbeg = n20 endif motmax = 0. read-in maximum daily air temp data for each month do 310 j = 1,ndmonth(dyear,dmonth) n2 = n2 + 1 ndaymo = ndaymo + 1 get air temp data (convert deg F to deg C) if(ddat(j).ne.-99999.) then tmax(n2) = (ddat(j)-32.)*5/9 motmax = motmax + tmax(n2) if(tmax(n2).gt.maxtmax) maxtmax = tmax(n2) else tmax(n2) = -999.9 endif tmaxflg(n2) = dflag(j) if(tmaxflg(n2).eq.'M') nmtmxflg = nmtmxflg + 1 if(tmaxflg(n2).eq.'A') natmxflg = natmxflg + 1 if(tmaxflg(n2).eq.'T') nttmxflg = nttmxflg + 1 continue import minimum daily air temp data else if(dtype.eq.'TMIN') then if(itmin.eq.0) then n30 = iday(dyear,dmonth,dday(1)) n3 = n30 - 1 itmin = 1 if(n30.lt.nbeg) nbeg = n30 endif motmin = 0. read-in minimum daily air temp data for each month do 320 j = 1,ndmonth(dyear,dmonth) n3 = n3 + 1 ndaymo = ndaymo + 1 get air temp data (convert deg F to deg C) if(ddat(j).ne.-99999.) then tmin(n3) = (ddat(j)-32.)*5/9 motmin = motmin + tmin(n3) if(tmin(n3).gt.maxtmin) maxtmin = tmin(n3) else tmin(n3) = -999.9 endif tminflg(n3) = dflag(j) if(tminflg(n3).eq.'M') nmtmnflg = nmtmnflg + 1 if(tminflg(n3).eq.'A') natmnflg = natmnflg + 1 if(tminflg(n3).eq.'T') nttmnflg = nttmnflg + 1 continue import daily snow fall data else if(dtype.eq.'SNOW') then if(isnow.eq.0) then n40 = iday(dyear,dmonth,dday(1)) n4 = n40 - 1 isnow = 1 if(n40.lt.nbeg) nbeg = n40 endif mosnow = 0. c c read-in daily snow fall data for each month do 330 j = 1,ndmonth(dyear,dmonth) n4 = n4 + 1 ndaymo = ndaymo + 1 c c get snow fall data (convert deg F to deg C) if(ddat(j).ne.-99999.) then snow(n4) = 2.54*ddat(j) mosnow = mosnow + snow(n4) if(snow(n4).gt.maxsnow) maxsnow = snow(n4) else snow(n4) = -999.9 endif snowflg(n4) = dflag(j) if(snowflg(n4).eq.'M') nmsnoflg = nmsnoflg + 1 if(snowflg(n4).eq.'A') nasnoflg = nasnoflg + 1 if(snowflg(n4).eq.'T') ntsnoflg = ntsnoflg + 1 c c 330 continue c endif goto 200 c c 900 continue c c find ending array indices if(n1.gt.nend) nend = n1 if(n2.gt.nend) nend = n2 if(n3.gt.nend) nend = n3 if(n4.gt.nend) nend = n4 c c==== Process Results c --------------c---- output to 1st output file (data file) c write header info 1st c unit 18 = data output file c write(18,8111) station 8111 format(/,'Station ID = 'a6) write(18,8001) 8001 format(/,'Dy = day', 1 /,'Mo = month', 2 /,'Yr = year', 3 /,'Max = maximum', 4 /,'Min = minimum', 5 /,'Precip = total daily precipitation', 6 /,'Temp = daily air temperature', 7 /,'mm = millimeters', 8 /,'deg C = degrees Celsius', 9 //,'Data Flags:', 1 //,'-999.9 = missing data value', 1 /,'M = missing data flag', 2 /,'A = accumulated measurement (multiple days)', 3 /,'T = trace amount ', 4 '(less than measurement resolution)') c write(18,8011) 8011 format( /' Record',1x,' ',1x,' ',1x,'Dy',1x,' Dy', 1 2x,' ',3x,' Max',3x,' Min',3x,' Snow', 2 /' Day',1x,' ',1x,' ',1x,'of',1x,' of', 3 2x,'Precip',3x,' Temp',3x,' Temp',3x,' Fall', 4 /' Number',1x,'Year',1x,'Mo',1x,'Mo',1x,' Yr', 5 2x,' mm',3x,' deg C',3x,' deg C',3x,' mm', 6 /'--------',1x,'----',1x,'--',1x,'--',1x,'---', 7 2x,'------',3x,'-------',3x,'-------',3x,'-------',/) c c c---- write header info to monthly summary file c write(20,8801) station 8801 format(/,'Station ID = 'a6) write(20,8901) 8901 format('Monthly summary of input record', 1 /' ',1x,' ',1x,' ',1x,'Dy',1x,' Dy',2x, 1 ' #',1x,' Total',2x,' #', 2 1x,' Max',2x,' #',1x,' Min',2x,' #',1x,' Snow', 3 /' Day',1x,' ',1x,' ',1x,'of',1x,' of',2x, 4 ' of',1x,'Precip',2x,' of', 5 1x,' Temp',2x,' of',1x,' Temp',2x,' of',1x,' Fall', 6 /' Number',1x,'Year',1x,'Mo',1x,'Mo',1x,' Yr',2x, 7 'Rec',1x,' mm',2x,'Rec', 8 1x,' deg C',2x,'Rec',1x,' deg C',2x,'Rec',1x,' mm', 9 /'--------',1x,'----',1x,'--',1x,'--',1x,'---',2x, 1 '---',1x,'------',2x,'---', 2 1x,'------',2x,'---',1x,'------',2x,'---',1x,'------',/) c c c---- initialize monthly stats moppt = 0. motmax = 0. motmin = 0. mosnow = 0. modays = 0 c ndmoppt = 0 ndmotmax = 0 ndmotmin = 0 ndmosnow = 0 c istart = 0 ndyear = 0 nmisppt = 0 nmisppt2 = 0 nmistmax = 0 nmistmx2 = 0 nmistmin = 0 nmistmn2 = 0 c do 8000 i = nbeg,nend c c set up annual counters ndyear = ndyear + 1 if(i.gt.1) then if(yr(i).ne.yrold) ndyear = 1 endif if(ndyear.eq.1) then nmisppt2 = 0 nmistmx2 = 0 nmistmn2 = 0 endif yrold = yr(i) c c c flag missing data at beginning and of record if((ppt(i).eq.-999.9).and.(istart.eq.0)) then iout(i) = 0 else if((tmax(i).eq.-999.9).and.(istart.eq.0)) then iout(i) = 0 else if((tmin(i).eq.-999.9).and.(istart.eq.0)) then iout(i) = 0 else if((snow(i).eq.-999.9).and.(istart.eq.0)) then iout(i) = 0 1 /'no data flag = -999.9',/) write(20,8921) 8921 format( /' ',1x,' ',1x,' ',1x,' ',1x,' ',2x, 1 ' ',1x,' ',2x,' ', 2 1x,' Mean',2x,' ',1x,' Mean',2x,' ',1x,' Total', c======== Create developed data file c (fill in minor gaps, flag years with large gaps) c c-------- estimate precip for gaps of 10 days or less c E1 = type 1 estimation (assume no precip) c E3 - type 3 estimation (assume snow fall density = 0.1) else istart = 1 iout(i) = 1 endif c c c write output to intermediate file for checking write(18,111) i,yr(i),mo(i),dy(i),ndyear, 1 ppt(i),pflg(i), 2 tmax(i),tmaxflg(i), 3 tmin(i),tminflg(i), 4 snow(i),snowflg(i) c 111 format(1x,i7,1x,i4,1x,i2,1x,i2,1x,i3,1x, 1 4(1x,f6.1,1x,a2)) c c collect monthly statistics prior to filling gaps modays = modays + 1 if(ppt(i).ne.-999.9) then ndmoppt = ndmoppt + 1 moppt = moppt + ppt(i) endif if(tmax(i).ne.-999.9) then ndmotmax = ndmotmax + 1 motmax = motmax + tmax(i) endif if(tmin(i).ne.-999.9) then ndmotmin = ndmotmin + 1 motmin = motmin + tmin(i) endif if(snow(i).ne.-999.9) then ndmosnow = ndmosnow + 1 mosnow = mosnow + snow(i) endif c c write output to monthly summary file if(dy(i).eq.ndmonth(yr(i),mo(i))) then if(ndmoppt.eq.0) moppt = -999.9 if(ndmosnow.eq.0) mosnow = -999.9 if(ndmotmax.eq.0) then motmax = -999.9 else motmax = motmax/ndmotmax endif if(ndmotmin.eq.0) then motmin = -999.9 else motmin = motmin/ndmotmin endif write(20,8911) i,yr(i),mo(i),dy(i),ndyear, 1 ndmoppt,moppt,ndmotmax,motmax, 2 ndmotmin,motmin,ndmosnow,mosnow 8911 format(1x,i7,1x,i4,1x,i2,1x,i2,1x,i3, 1 4(3x,i2,1x,f6.1)) moppt = 0. motmax = 0. motmin = 0. mosnow = 0. ndmoppt = 0 ndmotmax = 0 ndmotmin = 0 ndmosnow = 0 endif c c c-------- estimate max air temp for gaps less than 20 days c (type 2 estimation) nmistmax = 0 if((tmax(i).eq.-999.9).and.(tmaxflg(i-1).ne.'E2')) then nmistmax = 1 tmax0 = tmax(i-1) nmistmx2 = nmistmx2 + 1 8550 if(i+nmistmax.gt.n1) then tmax2 = tmax0 else if((tmax(i+nmistmax).eq.-999.9).and. 1 (i+nmistmax.lt.n1)) then nmistmax = nmistmax + 1 goto 8550 endif tmax2 = tmax(i+nmistmax) tmax(i) = (tmax0 + tmax2)/2. tmaxflg(i) = 'E2' tmax1 = tmax(i) else if((tmax(i).eq.-999.9).and.(tmaxflg(i-1).eq.'E2')) then tmax(i) = tmax1 tmaxflg(i) = 'E2' nmistmx2 = nmistmx2 + 1 endif if(nmistmax.gt.20) imistmax(yr(i)) = 1 if(nmistmx2.gt.40) imistmax(yr(i)) = 1 c c c-------- estimate min air temp for gaps less than 20 days c (type 2 estimation) nmistmin = 0 if((tmin(i).eq.-999.9).and.(tminflg(i-1).ne.'E2')) then nmistmin = 1 tmin0 = tmin(i-1) nmistmn2 = nmistmn2 + 1 8560 if(i+nmistmin.gt.n1) then tmin2 = tmin0 else if((tmin(i+nmistmin).eq.-999.9).and. 1 (i+nmistmin.lt.n1)) then nmistmin = nmistmin + 1 goto 8560 endif tmin2 = tmin(i+nmistmin) tmin(i) = (tmin0 + tmin2)/2. tminflg(i) = 'E2' tmin1 = tmin(i) else if((tmin(i).eq.-999.9).and.(tminflg(i-1).eq.'E2')) then tmin(i) = tmin1 tminflg(i) = 'E2' nmistmn2 = nmistmn2 + 1 nmisppt = 0 if(ppt(i).eq.-999.9) then if(snow(i).le.0.) then ppt(i) = 0. pflg(i) = 'E1' else ppt(i) = snow(i)/10 pflg(i) = 'E3' endif nmisppt = 1 nmisppt2 = nmisppt2 + 1 8540 if(((i+nmisppt).le.n1).or.(nmisppt.le.10)) then if(ppt(i+nmisppt).eq.-999.9) then nmisppt = nmisppt + 1 goto 8540 endif endif if(nmisppt.gt.10) imisppt(yr(i)) = 1 if(nmisppt2.gt.20) imisppt(yr(i)) = 1 endif c c endif if(nmistmin.gt.20) imistmin(yr(i)) = 1 if(nmistmn2.gt.40) imistmin(yr(i)) = 1 c c 8000 continue c c c---- output to 2nd output file (infil model input file) c write header info 1st c unit 19 = model input file c write(19,9111) station 9111 format(/,'Station ID = 'a6) write(19,9001) 9001 format(/,'Dy = day', 1 /,'Mo = month', 2 /,'Yr = year', 3 /,'Max = maximum', 4 /,'Min = minimum', 5 /,'Precip = total daily precipitation', 6 /,'Temp = daily air temperature', 7 /,'mm = millimeters', 8 /,'deg C = degrees Celsius', 9 //,'Data Flags:', c 1 //,'r = measured (recorded) data', 1 //,'-999.9 = missing data', 1 /,'M = missing data flag', 2 /,'A = accumulated measurement (multiple days)', 3 /,'T = trace amount ', 4 '(less than measurement resolution)', 5 /,'C1 = calculated value (type 1 calculation)', 6 /,'E1 = estimated value (type 1 estimation)', 7 /,'E2 = estimated value (type 2 estimation)', 8 /,'E3 = estimated value (type 3 estimation)') c c write(19,9011) 9011 format( /' Record',1x,' ',1x,' ',1x,'Dy',1x,' Dy', 1 2x,' ',3x,' Max',3x,' Min',3x,' Mean', 2 3x,' Snow', 2 /' Day',1x,' ',1x,' ',1x,'of',1x,' of', 3 2x,'Precip',3x,' Temp',3x,' Temp',3x,' Temp', 3 3x,' Fall', 4 /' Number',1x,'Year',1x,'Mo',1x,'Mo',1x,' Yr', 5 2x,' mm',3x,' deg C',3x,' deg C',3x,' deg C', 5 3x,' mm', 6 /'--------',1x,'----',1x,'--',1x,'--',1x,'---', 7 2x,'------',3x,'-------',3x,'-------',3x,'-------', 7 3x,'-------',/) c c c---- output to yearly summary file (unit 21) c write header info 1st c write(21,9501) station 9501 format(/,'Station ID = 'a6) write(21,9511) 9511 format('Annual summary of input record',/) c write(21,9521) 9521 format(' ',3x,' ',2x,' ',3x,' Total',3x,' Mean', 1 3x,' Mean',3x,' Mean', 2 /'Number',3x,' ',2x,'Days',3x,' Annual',3x,' Annual', 2 3x,' Annual',3x,' Annual', 3 /' of',3x,' ',2x,' in',3x,' Precip',3x,' Tmax', 3 3x,' Tmin',3x,' Tavg', 4 /' Years',3x,'Year',2x,'Year',3x,' (mm)',3x,'(deg C)', 4 3x,'(deg C)',3x,'(deg C)', 5 /'------',3x,'----',2x,'----',3x,'-------',3x,'-------', 5 3x,'-------',3x,'-------') c c yrppt = 0. yrtmax = 0. yrtmin = 0. yrtavg = 0. yrsnow = 0. c aappt = 0. aatmax = 0. aatmin = 0. aatavg = 0. c istart = 0 ndyear = 0 do 9000 i = nbeg,nend ndyear = ndyear + 1 if(i.gt.1) then if(yr(i).ne.yrold) ndyear = 1 endif yrold = yr(i) c c calculate mean daily air temperature tavg(i) = (tmax(i) + tmin(i))/2. tavgflg(i) = 'C1' c c c bypass gaps in record if(iout(i).eq.0) goto 9000 if(imisppt(yr(i)).eq.1) goto 9000 if(imistmax(yr(i)).eq.1) goto 9000 if(imistmin(yr(i)).eq.1) goto 9000 c yrppt = yrppt + ppt(i) yrtmax = yrtmax + tmax(i) yrtmin = yrtmin + tmin(i) yrtavg = yrtavg + tavg(i) if((i.gt.1).and.(yr(i+1).ne.yrold)) then nyr = nyr + 1 yrtmax = yrtmax/ndyear yrtmin = yrtmin/ndyear yrtavg = yrtavg/ndyear write(*,9301) nyr,yr(i),ndyear,yrppt,yrtmax, 1 yrtmin,yrtavg write(21,9301) nyr,yr(i),ndyear,yrppt,yrtmax, 1 yrtmin,yrtavg 9301 format(i6,3x,i4,3x,i3,4(3x,f7.1)) aappt = aappt + yrppt aatmax = aatmax + yrtmax aatmin = aatmin + yrtmin aatavg = aatavg + yrtavg yrppt = 0. yrtmax = 0. yrtmin = 0. yrtavg = 0. endif c c write(19,1111) i,yr(i),mo(i),dy(i),ndyear, 1 ppt(i),pflg(i), 2 tmax(i),tmaxflg(i), 3 tmin(i),tminflg(i), 4 tavg(i),tavgflg(i), 5 snow(i),snowflg(i) c 1111 format(1x,i7,1x,i4,1x,i2,1x,i2,1x,i3,1x, 1 5(1x,f6.1,1x,a2)) c c 9000 continue c c calculate and print annual averages aappt = aappt/nyr aatmax = aatmax/nyr aatmin = aatmin/nyr aatavg = aatavg/nyr write(*,9311) aappt,aatmax,aatmin,aatavg write(21,9311) aappt,aatmax,aatmin,aatavg 9311 format(/,4x,'Averages:',6x,4(3x,f7.1)) c c close(18) close(19) close(20) close(21) stop end ATTACHMENT VI CALCULATION OF BLOCKING RIDGES USING BLOCKR7 V1.0 TOTAL PAGES: 40 Calculation of Blocking Ridges using BLOCKR7 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: BLOCKR7 V1.0, OS and hardware environment: Windows NT 4.0, Pentium Pro PC Computer Identification: SM321276 with a USGS specific host-name P720dcasr Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for BLOCKR7 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual FORTRAN with Microsoft Developer Studio, V. 5.0. 3. General Description of routine/macro: BLOCKR7 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically for the analysis/model activity documented in this AMR. The routine source code (BLOCKR7.FOR), compiled executable file (BLOCKR7.EXE), routine control file (BLOCKR7.CTL), input and output files, validation test files, and a copy of this attachment, are located under the directory BLOCKR7 on a CD-ROM labeled GEOINPUT-1. The routine source code, control file, and the input and output files are ASCII text files that can be read using any standard ASCII text editor and can be imported into standard word processing applications such as Microsoft Word. The executable file can be used to run BLOCKR7 V1.0 on any PC with an INTEL processor (with adequate RAM). All parameters included in the output file developed by BLOCKR7 V1.0 are used for the development of the geospatial parameter input file for INFIL V2.0. The parameters used and developed by BLOCKR7 V1.0 are equivalent to the parameters used in the input file for INFIL V1.0 (Flint and others, 1996). 4. Test plan for the software routine BLOCKR7 V1.0: • Explain whether this is a routine or macro and describe what it does: BLOCKR7 V1.0 is the first routine in a sequence of developed FORTRAN77 routines that are used in the development of the geospatial parameter input files for INFIL V2.0. The routine performs two functions required as part of the development of the geospatial parameter input files for INFIL V2.0. The first function consists of assembling nine individual ASCII matrix grid files developed in ARCINFO (corresponding to 9 separate input parameters) into a single column formatted ASCII output file. The second function consists of the calculation of 36 blocking ridge angles for each grid location defined by the ASCII matrix grids. The blocking ridge angles are defined by the angle of inclination above the horizontal plane that the surrounding topography obstructs a location’s “view” of the sky and potential direct beam solar radiation. The 36 blocking ridge angles are calculated at each 10-degree horizontal arc (with the azimuth aligned in the UTM northing direction) for each grid cell. The input and output files used by the routine are defined in the routine control file BLOCKR7.CTL that is itself an input file for the routine. The input files defined in BLOCKR7.CTL consist of the 9 ASCII matrix grid files (one file for each parameter defined above). The output files defined in BLOCKR7.CTL consist of 30MSITE.INP which is the main output file (this file is used as input by GEOMAP7 V1.0) and two auxiliary output files, 30MSITE.SKY and SKYVIEW.ASC, consisting of the calculated sky-view factor for each grid location. Also included in BLOCKR7.CTL are parameters used as input for the calculation of the 36 approximate 10-degree azimuth angles based on the input grid geometry. The calculated sky-view factor that included as output in the two auxiliary output files is the percentage of sky viewed from the ground surface, relative to the sky-view for an infinite horizontal plane, and is calculated for each grid cell location using the 36 blocking ridge angles generated by BLOCKR7. The two auxiliary output files provide the sky-view factor in two different output formats (ASCII column and ASCII matrix) and are used as a part of the test plan for BLOCKR7. • Listing of FORTRAN77 Source code: A listing of the FORTRAN77 source code for the routine BLOCKR7 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: To determine that the two functions performed by the routine are operating correctly, two separate test plans are applied. The first test case involves a visual inspection of the column- formatted ASCII output file 30MSITE.INP to confirm that the file format is correct and that there are a total of 253,597 rows and 48 columns. The testing procedure consists of a direct comparison of parameter values in the input files to the ordering and values of parameters in the corresponding line of the output file. This provides a validation check of the first function performed by BLOCKR7 V1.0, which is the assembling of individual ASCII matrix grids for each of the input parameters into a single column formatted ASCII output file. For example, the parameter value of the first column of the first line of the input matrix for the first input parameter (latitude) must correspond to the parameter value located in the third column of the first line of the output file. The parameter value of the first column of the first line of the input matrix for the second input parameter (longitude) must correspond to the parameter value located in the fourth column of the first line of the output file, and so-on for all parameters assembled into the output file. The second test consists of a visual evaluation of the second function performed by BLOCKR7 that consists of the calculation of the 36 blocking ridge angles and the output of these values as 36 separate columns that are included in the output file. To test this function, a visual test is conducted in ARCVIEW by a comparison of the map image obtained using the input elevation grid with the map image obtained using the sky-view values that are included in the auxiliary output file created by BLOCKR7. The sky-view values are calculated using the same 36 blocking ridge values that are included in the main output file. The testing criteria used in this test are based on the following known conditions: 1. Grid locations that are not surrounded by ridges blocking incoming solar radiation will result in a calculation of approximately 100 percent of the sky viewed (the sky-view value is the percentage of the sky viewed). 2. Grid locations in deep valleys and washes where there is blockage of solar radiation by ridges will result in the maximum reduction in sky-view within the model domain of approximately 25 to 30 percent. For the hypothetical upper bound case of an infinite horizontal plane, the calculated sky-view factor is 100 percent (no reduction in the percentage of sky viewed). In the case of mountainous terrain such as the Yucca Mountain site and the area of the net infiltration model, the occurrence of rugged topography including steep ridges with significant relief of 100 meters and greater should result in an appropriate reduction of the percent of sky viewed. The testing is performed in ARCVIEW by a visual comparison of both a shaded-relief and a contoured representation of the DEM to map images generated using the sky-view factor obtained from the auxiliary output file SKYVIEW.ASC. The test criteria are subjectively based on the determination that the sky-view factor provides a reasonable representation of the percentage of sky viewed relative to expected reductions in sky view based on the known topography surrounding a given grid cell. For ridge-top locations and flat or gently sloping terrain where there are no ridges blocking sky-view, expected reductions in sky-view should be minimal (from 90 to 100 percent sky- view). In comparison, for steep side-slopes and deep washes or valleys characterized by more rugged terrain, larger reductions in sky-view are expected (less than 80 percent sky- view). The subjective acceptance criteria used in the test plan for the calculation of blocking ridges are based on the sensitivity of estimated net infiltration to the inclusion of blocking ridges in the calculation of available energy to drive potential evapotranspiration. The inclusion of the reduction in sky-view for locations with surrounding ridges provides a slight increase in the accuracy of estimated net infiltration. For example, the impact of excluding the reduction in sky-view from the estimation of net infiltration is a maximum reduction in net infiltration estimates of approximately two to three percent as compared to estimates obtained if the reduction in sky-view is included. • Specify the range of input values to be used and why the range is valid: All 9 ASCII matrix grid files used as input by BLOCKR7 V1.0 consist of six standard ARCINFO and ARCVIEW header lines specifying the dimensions of the input grid (copies of the first nine lines of these input files are included at the end of this attachment). The header lines are followed by a matrix of 691 rows by 367 columns for a total of 253,597 input values for each input file. The matrix consists of the parameter values for a specific parameter (one file per parameter) and is the standard raster-data format that can be exported or imported by ARCINFO or ARCVIEW. The nine ASCII matrix grid files listed below consist of one file for each input parameter and must be listed in the same order in the routine control file BLOCKR7.CTL. The range of input values specified in the listing below is valid because these values were obtained from ARCINFO using the source data as input. 1. 30MLAT.ASC: Latitude coordinate input file (in decimal degrees from 36.7501 to 36.9373) for each grid location. 2. 30MLONG.ASC: Absolute-value longitude coordinate input file (in decimal degrees from 116.3752 to 116.4997) for each grid cell location. 3. 30MSLOPE.ASC: Ground surface slope input file (in degrees from 0 to 47). 4. 30MASPCT.ASC: Ground surface aspect input file (in degrees from –1 to 358). 5. 30MELEV.ASC: Ground surface elevation (in meters from 918 to 1969) 6. 30MSOIL.ASC: Soil type identification number (an integer value from 1 to 10) 7. 30MDEPTH.ASC: Soil depth class number (an integer value from 1 to 4) 8. 30MROCK.ASC: Rock type identification number (an integer value from 1 to 214) 9. 30MTOPO.ASC: Topographic location number (an integer value from 1 to 6) 5. Test Results. • Output from test (explain difference between input range used and possible input): The output for the first part of the test (input parameters from ARCINFO are properly combined into a single column formatted ASCII text file) is the main output file 30MSITE.INP generated by BLOCKR7 V1.0 and the nine ASCII matrix input files (see listing of files below). The output for the second part of the test (qualitative evaluation of blocking ridge angles using sky-view) is the value of calculated percent sky-view for every grid cell and is included in the two auxiliary output files created by BLOCKR7 (30MSITE.SKY and SKYVIEW.ASC). • Description of how the testing shows that the results are correct for the specified input: A visual inspection of the input and output files indicates that the test criteria for the first part of the test plan is satisfied. Comparison of input and output parameter values shows that all input parameters have been assembled into the correct order and line of the output file, and thus the first function of the routine is being correctly executed. The test results are reproduced in this attachment by including a partial print-out of the input and output files. Inspection of the file copies indicates that the parameter value in the first grid cell position of each matrix (hi-lighted in red) is in the correct column position of the corresponding grid cell location of the output file (first line of the output file, hi-lighted in red), the parameter value in the second grid cell position of the of each matrix (hi-lighted in blue) is in the correct column position of the corresponding grid cell location of the output file (second line of file, hi-lighted in blue), and so on. Inspection of the complete output file indicates 253,597 rows and 48 columns, with the columns ordered according to the following sequence: Column number Parameter description The second part of the test consists of a visual evaluation of the sky-view factor calculated using the blocking ridge angles generated by BLOCKR7. Comparison of Figures VI-1 through VI-3 indicates that the test criteria for the second part of the test are satisfied. The elevation values in the main output file are used in ARCVIEW to develop Figure VI-1, which is a shaded relief map of the Yucca Mountain site. Both the elevation values in the main output file and the sky-view values provided in the auxiliary output file 30MSITE.SKY are used in ARCVIEW to develop Figures VI-2 and VI-3. Overlaying the sky view factor and topography into a combined map image allows for a visual evaluation that the test criteria are satisfied. Visual inspection of Figures VI-2 and VI-3 indicates a high percentage of sky-view (90 percent and higher) for ridge-top and flat, open area locations, and a low percentage of 1 Grid cell location number 2 UTM easting coordinate , in meters 3 UTM northing coordinate, in meters 4 Latitude coordinate, in decimal degrees 5 Longitude coordinate, in decimal degrees 6 Ground surface slope, in degrees 7 Ground surface aspect, in degrees 8 Ground surface elevation, in meters 9 Soil type identification number, integer value 10 Soil depth class number, integer value 11 Rock type Identification number, integer value 12 Topographic identification number, integer value 13 First of 36 blocking ridge angles, in degrees 14 Second of 36 blocking ridge angles, in degrees 15 Third of 36 blocking ridge angles, in degrees 16-47 blocking ridge angles 4 through 35 48 Last blocking ridge angle, in degrees. sky-view (80 percent and lower) for steep side-slope locations and for deep, narrow washes. These test results indicate that the routine is functioning properly for the intended use. • List limitations or assumptions to this test case and code in general: Limitations are only those inherent in the DEM, and in the ability of the reviewer to discern topography from the shaded relief representation of the DEM. To provide an enhanced test result, the visual test is performed in ARCVIEW, allowing for the map of calculated sky- view to be draped over the shaded relief map and overlain with elevation contours generated from the DEM. • Electronic files identified by name and location: Electronic files are located on CD-ROM labeled GEOINPUT-1, under the directory BLOCKR7, included as an attachment to the AMR. The following electronic files are provided: BLOCKR7.CTL: input file consisting of the input and output file names for BLOCKR7, along with parameters needed to perform the 36 blocking ridge angle calculations. BLOCKR7.FOR: FORTRAN source code listing for the routine BLOCKR7. A printout of the source code is included as part of this attachment. BLOCKR7.EXE: Executable file for the routine BLOCKR7, compiled for INTEL processors. 30MLAT.ASC: input file consisting of the grid cell latitude coordinates (in decimal degrees) for all 253,597 grid cell locations of the base grid, developed using ARCINFO and exported as a standard ARCINFO format ASCII matrix grid file. A partial printout of the first part of this file is included as part of this attachment. 30MLONG.ASC: input file consisting of the grid cell longitude coordinates (in decimal degrees) for all 253,597 grid cell locations of the base grid, developed using ARCINFO and exported as a standard ARCINFO format ASCII matrix grid file. A partial printout of the first part of this file is included as part of this attachment. 30MSLOPE.ASC: input file consisting of ground surface slope (in degrees) for all 253,597 grid cell locations of the base grid, calculated from the DEM using ARCINFO and exported as a standard ARCINFO format ASCII matrix grid file. A partial printout of the first part of this file is included as part of this attachment. 30MASPCT.ASC: 30MELEV.ASC: 30MSOIL.ASC: 30MDEPTH.ASC: 30MROCK.ASC: 30MTOPO.ASC: input file consisting of ground surface aspect (in degrees) for all 253,597 grid cell locations of the base grid, calculated from the DEM using ARCINFO and exported as a standard ARCINFO format ASCII matrix grid file. A partial printout of the first part of this file is included as part of this attachment. input file consisting of ground surface elevation (in meters) for all 253,597 grid cell locations of the base grid. The source data consists of two standard 7.5 minute USGS 30-meter digital elevation models (DEMs), which are merged into a single composite DEM using ARCINFO, and exported as a standard ARCINFO format ASCII matrix grid file. A partial printout of the first part of this file is included as part of this attachment. input file consisting of the soil type identification number (an integer value from 1 to 10) for all 253,597 grid cell locations of the base grid. The source data consists of a standard ARCINFO vector coverage that is rasterized onto the cell locations of the base grid using ARCINFO and exported as a standard ARCINFO format ASCII matrix grid file. A partial printout of the first part of this file is included as part of this attachment. input file consisting of the soil depth class identification number (an integer value from 1 to 4) for all 253,597 grid cell locations of the base grid. The source data consists of a standard ARCINFO vector coverage that is rasterized onto the cell locations of the base grid using ARCINFO and exported as a standard ARCINFO format ASCII matrix grid file. A partial printout of the first part of this file is included as part of this attachment. input file consisting of the rock type identification number (an integer value from 1 to 214) for all 253,597 grid cell locations of the base grid. The source data consists of a standard ARCINFO vector coverage that is rasterized onto the cell locations of the base grid using ARCINFO and exported as a standard ARCINFO format ASCII matrix grid file. A partial printout of the first part of this file is included as part of this attachment. input file consisting of the topographic position identification number (an integer value from 1 to 6) for all 253,597 grid cell locations of the base grid. The parameter is generated in ARCINFO using the source DEM as input, rasterized onto the cell locations of the base grid and exported as a standard ARCINFO format ASCII matrix grid file. A partial printout of the first part of this file is included as part of this attachment. SKYVIEW.ASC: auxiliary output file consisting of the 253,597 sky-view values in the ASCII grid matrix format that is imported directly into ARCVIEW. This file is used only as part of the test plan. It is not required for the intended application of the routine. 6. Supporting Information. (Include background information, such as revision to a previous routine or macro, or explanation of the steps performed to run the software. Include listings of all electronic files and codes used). • Procedure for running routine: To run the routine BLOCKR7, an executable version of the code and all input files must be placed in the same directory. The routine is executed by typing BLOCKR7 in a DOS window, by double clicking on the file BLOCKR7.EXE in the Microsoft Windows OS, or by typing in the path and filename in the RUN window of the Windows NT or Windows 98 start menu. The input and output file names and the parameters used for the blocking ridge calculations must be in the correct sequential order as specified in the routine control file BLOCKR7.CTL (see example printouts provided below). • Example printout of routine control file BLOCKR7.CTL blockr7.ctl INFIL v2.0 geospatial parameter pre-processing, step 1, routine BLOCKR7 v1.0 30mlat.asc 30mlong.asc 30mslope.asc 30maspct.asc 30melev.asc 30msoil.asc 30mdepth.asc 30mrock.asc 30mtopo.asc 30msite.xyz 30msite.sky skyview.asc blockr7.sum 32 11 3 21 2 30MSITE.INP: main output file consisting of 253,597 rows and 48 columns (see section 5 above for column ordering and descriptions. This file includes 36 columns that are the 36 blocking ridge angles calculated by BLOCKR7 for each grid location. A partial printout of the first part of this file is included as part of this attachment. 30MSITE.SKY: auxiliary output file consisting of 253,597 rows and 3 columns. The first two columns are the UTM coordinates and the third column is the calculated sky-view factor (in percent). This file is used only as part of the test plan. It is not required for the intended application of the routine. 32 3 41 1 53 2 62 1 73 1 81 0 93 -1 102 -1 113 -2 121 -1 132 -3 141 -2 151 -3 160 -1 17-1 -3 18-1 -2 19-2 -3 20-1 -1 21-3 -2 22-2 -1 23-3 -1 24-1 0 25-3 1 26-2 1 27-3 2 28-1 1 29-2 3 30-1 2 31-1 3 320 1 • Example printout of 30MLAT.ASC: ARCINFO ASCII grid format input file for latitude, in decimal degrees (only the 6 header lines and the first 3 lines of the input matrix are listed). ncols 367 nrows 691 xllcorner 544661.000000 yllcorner 4067133.000000 cellsize 30.000000 NODATA_value -9999.000000 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9373 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 36.9372 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116.3974 116.3971 116.3968 116.3964 116.3961 116.3957 116.3954 116.3951 116.3947 116.3944 116.3941 116.3937 116.3934 116.3931 116.3927 116.3924 116.3920 116.3917 116.3914 116.3910 116.3907 116.3904 116.3900 116.3897 116.3893 116.3890 116.3887 116.3883 116.3880 116.3877 116.3873 116.3870 116.3867 116.3863 116.3860 116.3856 116.3853 116.3850 116.3846 116.3843 116.3840 116.3836 116.3833 116.3829 116.3826 116.3823 116.3819 116.3816 116.3813 116.3809 116.3806 116.3803 116.3799 116.3796 116.3792 116.3789 116.3786 116.3782 116.3779 116.3776 116.3772 116.3769 116.3765 116.3762 116.3759 116.3755 116.3752 • Example listing of 30MSLOPE.ASC: ARCINFO ASCII grid format input file for ground surface slope, in degrees (only the 6 header lines and the first 3 lines of the input matrix are listed). ncols 367 nrows 691 xllcorner 544661.000000 yllcorner 4067133.000000 cellsize 30.000000 NODATA_value -9999 21 25 26 24 25 28 28 24 16 13 21 20 16 19 22 20 20 21 23 23 22 16 10 18 27 27 25 23 15 9 14 19 21 23 24 23 23 24 26 27 23 19 21 24 25 26 30 36 37 33 30 25 28 36 34 32 31 29 24 20 21 28 34 35 33 32 30 27 25 23 22 20 17 15 15 16 14 13 13 11 14 17 16 11 13 20 22 22 19 16 15 16 18 20 18 16 17 19 21 22 20 19 20 22 21 18 16 18 22 26 30 29 28 30 29 21 19 23 24 24 23 23 26 26 26 28 30 28 26 25 26 26 27 30 33 32 32 30 30 34 37 35 33 32 32 32 32 32 33 35 38 38 36 32 26 23 26 27 25 24 28 33 33 29 25 23 20 17 15 16 17 17 18 18 16 11 12 19 18 16 16 19 22 20 11 8 18 27 32 36 39 40 41 40 32 17 14 24 28 28 32 37 33 19 18 26 26 25 27 30 26 18 19 24 22 18 22 26 28 29 31 31 31 32 29 24 21 22 25 29 32 37 38 34 31 31 31 32 30 26 19 18 29 35 35 31 28 30 33 35 36 32 19 11 18 22 23 21 17 18 20 18 14 15 19 25 27 26 26 25 17 13 21 28 30 35 43 46 42 39 35 25 14 12 12 12 12 13 12 11 10 11 12 13 14 16 13 10 12 15 16 14 13 15 17 17 15 14 14 15 16 16 15 13 11 10 11 15 17 19 18 18 19 20 19 16 15 14 15 16 16 17 21 23 22 19 16 13 14 16 17 18 21 19 15 12 9 8 7 11 15 15 16 16 17 16 16 14 12 13 18 18 7 1 1 2 2 24 28 28 26 27 28 26 19 11 14 20 18 15 17 22 20 21 22 23 24 21 13 8 15 27 28 27 25 18 10 12 17 20 22 24 21 20 24 26 25 19 17 23 25 25 26 30 35 37 33 27 23 28 35 35 33 30 28 24 16 12 19 32 36 35 33 31 28 25 25 25 22 17 14 15 17 15 12 12 12 14 18 15 11 14 20 21 21 18 16 15 16 17 17 14 15 17 18 22 23 20 17 17 17 17 15 15 19 21 25 30 30 27 27 28 24 23 24 23 21 21 21 24 25 28 30 31 28 24 23 25 22 21 26 27 28 28 27 26 29 33 32 31 30 30 30 30 31 32 34 38 39 35 29 24 26 31 31 30 28 26 28 30 28 25 23 20 15 12 14 18 22 25 26 28 28 23 17 14 15 17 18 14 12 17 22 18 15 27 35 40 42 43 44 41 32 19 13 20 25 28 35 38 31 18 13 19 23 28 31 29 24 21 23 23 21 21 25 26 29 31 31 32 32 29 23 20 22 29 34 38 40 38 33 32 32 32 32 30 28 22 18 28 33 33 30 • Example listing of 30MASPCT.ASC: ARCINFO ASCII grid format input file for ground surface aspect, in degrees (only the 6 header lines and the first 3 lines of the input matrix are listed). ncols 367 nrows 691 xllcorner 544661.000000 yllcorner 4067133.000000 cellsize 30.000000 NODATA_value -9999 238 259 269 277 284 286 284 277 241 169 127 128 166 220 232 224 204 188 178 162 141 136 122 88 85 86 88 93 117 174 218 225 225 224 218 202 204 226 246 253 244 220 193 180 187 208 229 242 247 247 241 206 147 125 130 143 149 139 118 92 66 57 62 70 76 80 82 84 84 87 98 113 128 137 128 116 129 177 206 166 120 120 120 167 251 262 263 259 249 229 203 179 161 152 170 205 229 228 223 220 209 192 189 192 184 180 206 244 255 257 258 257 255 251 243 205 153 148 166 185 179 160 159 169 158 132 122 136 160 188 208 203 181 159 146 141 141 149 176 204 207 196 186 191 201 206 211 223 232 238 245 251 253 246 221 28 29 33 36 40 38 28 17 13 21 26 22 15 15 21 24 26 29 31 32 34 32 27 23 24 28 27 26 28 34 44 46 41 39 36 25 14 14 12 11 11 11 11 9 9 10 13 13 12 13 12 9 10 14 16 15 15 16 17 16 15 14 15 14 14 14 14 12 9 9 12 15 14 14 14 15 16 17 17 16 16 15 14 15 15 16 18 18 18 17 15 13 13 16 16 18 22 22 17 11 8 7 7 7 11 12 12 12 12 12 11 9 5 9 20 21 9 1 1 1 1 26 28 27 26 28 28 24 14 8 17 20 17 13 14 20 20 21 21 22 21 16 12 12 15 27 28 27 26 21 13 10 15 17 19 20 19 21 26 25 21 19 22 25 24 23 26 31 35 37 33 24 20 28 34 35 33 30 30 29 25 18 16 27 36 37 35 32 28 25 26 26 23 19 15 14 15 13 11 12 13 14 18 14 10 15 19 19 20 18 15 14 15 16 16 14 15 17 19 23 25 23 18 16 15 14 15 18 20 20 22 26 28 27 25 24 22 21 23 22 21 21 19 22 24 26 28 28 26 22 21 26 25 23 25 25 25 25 25 23 23 28 27 26 26 27 29 30 31 33 35 39 40 35 27 25 32 34 33 31 29 27 25 26 26 26 26 24 20 15 9 7 16 25 29 30 33 33 31 29 28 29 27 24 27 29 30 29 22 20 32 40 41 41 43 42 39 33 20 12 20 26 30 35 37 33 25 15 12 24 31 30 27 24 24 26 23 19 22 24 27 30 31 32 32 29 22 21 27 34 38 39 38 34 31 30 30 31 31 32 31 24 21 29 32 33 31 28 29 32 36 40 41 35 24 14 17 25 22 13 9 13 18 25 31 35 36 36 38 36 30 25 30 38 41 40 36 40 44 40 38 34 23 19 19 17 14 9 8 8 8 9 11 14 14 13 12 12 9 7 11 16 16 16 14 12 12 13 16 16 14 11 11 11 12 10 9 12 13 12 12 13 13 13 14 16 16 16 15 14 14 14 15 15 14 14 16 17 15 13 14 15 17 24 24 18 12 8 7 7 8 8 10 9 9 8 8 9 9 8 10 18 23 11 2 1 2 2 274 281 283 285 288 290 289 284 228 137 125 128 160 219 231 212 192 182 177 168 159 181 167 74 80 80 81 84 94 142 206 221 220 218 214 209 227 255 264 261 238 199 177 176 193 219 240 249 252 252 241 199 140 124 125 135 149 153 150 145 115 74 72 75 78 81 83 83 82 83 87 94 107 127 136 130 130 168 219 181 117 115 126 177 250 259 257 250 236 215 192 175 160 149 174 218 224 214 215 219 210 190 186 195 191 200 235 255 257 256 255 253 250 245 233 198 155 144 160 186 186 158 147 161 166 148 130 130 151 189 215 204 171 151 142 135 133 139 165 201 209 197 190 196 205 212 222 234 242 248 254 257 256 243 210 170 157 158 164 164 140 109 91 82 78 79 81 82 75 58 42 35 35 30 27 35 44 42 36 40 69 102 113 72 20 34 77 145 205 213 219 211 205 213 216 205 182 125 61 58 62 63 60 61 87 137 173 197 221 227 221 195 150 120 116 142 190 211 210 215 220 221 223 224 222 205 178 155 140 143 145 139 134 137 139 134 130 125 118 118 145 208 251 255 250 240 228 224 226 229 233 231 217 182 123 78 75 72 61 50 49 37 28 34 42 48 54 63 87 129 169 170 157 137 115 104 95 92 90 91 93 88 77 76 92 119 144 152 154 158 151 140 150 169 157 117 110 140 184 217 220 200 183 179 184 195 186 167 160 163 178 192 196 201 203 181 150 142 152 167 178 178 180 200 203 182 171 169 154 134 127 132 139 142 134 129 137 142 126 105 97 92 93 102 115 125 117 95 105 157 201 194 173 158 150 148 146 150 218 223 67 78 81 104 174 239 240 287 283 280 279 280 282 283 275 210 119 121 129 163 220 224 200 187 181 175 171 189 242 195 61 79 79 79 78 81 110 176 219 219 219 224 239 261 271 267 248 210 176 169 180 207 235 250 256 257 254 237 188 134 123 122 128 141 154 166 179 178 137 88 80 79 79 80 80 80 83 85 87 90 100 113 121 127 161 212 189 125 107 121 183 256 259 251 239 226 210 187 172 160 154 179 214 211 201 208 217 211 193 189 197 204 235 269 280 279 273 262 253 247 240 227 196 158 142 155 185 192 162 135 143 159 153 137 128 140 180 215 202 167 148 144 134 127 129 153 197 213 200 194 202 211 222 234 242 247 252 257 257 251 231 190 160 159 161 167 173 162 136 112 100 100 105 113 126 139 138 85 18 23 20 19 27 28 20 12 20 46 52 147 323 205 29 59 97 160 203 211 206 208 220 219 212 211 194 133 71 66 63 57 50 48 56 86 156 219 225 217 199 168 138 126 140 182 210 209 215 180 155 153 155 144 117 101 96 94 92 87 78 66 60 63 65 64 63 59 59 99 162 164 153 148 148 142 124 103 100 133 183 202 212 218 224 222 214 210 203 158 82 48 46 47 53 60 68 114 181 186 179 193 221 233 225 188 132 113 120 158 200 212 212 215 220 221 224 225 216 199 175 154 145 145 139 129 129 133 132 126 118 110 106 111 140 202 244 248 248 243 236 232 231 233 239 240 210 134 81 81 96 109 108 91 80 77 83 98 107 108 113 128 146 156 145 93 45 41 51 65 78 85 85 82 82 88 100 118 136 151 158 156 151 154 150 149 167 168 140 114 130 169 192 217 224 206 189 185 187 188 180 165 159 167 180 189 188 185 191 183 158 153 164 172 179 181 182 196 198 180 167 162 145 132 136 152 156 147 135 132 131 118 99 92 91 91 94 100 106 107 102 110 151 200 206 193 176 163 157 157 147 118 73 43 60 77 126 184 184 238 245 • Example listing of 30MELEV.ASC: ARCINFO ASCII grid format input file for ground surface elevation, in meters (only the 6 header lines and the first 3 lines of the input matrix are listed). ncols 367 nrows 691 xllcorner 544661.000000 yllcorner 4067133.000000 cellsize 30.000000 NODATA_value -9999 1739 1750 1767 1781 1794 1807 1824 1838 1851 1854 1846 1836 1829 1833 1843 1852 1858 1861 1862 1861 1854 1846 1841 1836 1821 1805 1791 1777 1765 1763 1766 1772 1781 1789 1799 1805 1807 1814 1825 1840 1854 1863 1868 1868 1867 1871 1881 1898 1920 1939 1955 1969 1969 1950 1932 1919 1910 1900 1889 1878 1869 1857 1841 1821 1803 1784 1766 1750 1734 1722 1708 1697 1689 1684 1680 1673 1664 1659 1663 1666 1660 1653 1646 1638 1641 1652 1663 1676 1688 1696 1700 1701 1699 1693 1689 1690 1696 1704 1711 1719 1727 1730 1730 1733 1735 1735 1735 1742 1753 1766 1783 1800 1815 1831 1848 1861 1858 1850 1844 1843 1845 1843 1836 1833 1832 1825 1809 1793 1786 1785 1790 1797 1799 1796 1787 1776 1764 1752 1744 1750 1763 1772 1774 1776 1782 1790 1797 1807 1822 1838 1859 1881 1904 1924 1939 1944 1939 1932 1926 1922 1911 1892 1871 1852 1838 1824 1812 1803 1796 1788 1778 1770 1762 1754 1745 1739 1738 1737 1734 1729 1725 1722 1716 1704 1692 1688 1688 1694 1704 1714 1731 1751 1766 1778 1792 1802 1797 1788 1775 1764 1752 1733 1710 1695 1695 1699 1700 1699 1705 1719 1732 1740 1736 1724 1710 1702 1705 1711 1720 1728 1740 1752 1763 1777 1791 1798 1799 1796 1789 1780 1771 1756 1735 1719 1707 1693 1678 1661 1642 1626 1614 1611 1623 1641 1662 1681 1695 1708 1722 1738 1756 1776 1791 1793 1781 1770 1755 1741 1733 1725 1714 1704 1696 1689 1681 1670 1655 1643 1637 1635 1635 1631 1623 1611 1600 1585 1563 1529 1499 1475 1454 1434 1423 1416 1412 1409 1407 1405 1401 1398 1396 1392 1390 1390 1388 1380 1372 1370 1370 1373 1380 1385 1387 1388 1389 1390 1391 1390 1387 1384 1383 1384 1386 1386 1387 1388 1388 1384 1380 1378 1377 1378 1378 1379 1384 1386 1384 1383 1379 1373 1366 1361 1358 1353 1344 1335 1329 1323 1316 1309 1299 1290 1279 1268 1259 1252 1246 1241 1238 1240 1243 1246 1247 1245 1241 1237 1234 1229 1223 1218 1214 1201 1194 1195 1194 1195 1196 1738 1754 1770 1785 1800 1815 1830 1843 1850 1848 1839 1830 1823 1824 1836 1845 1848 1848 1848 1847 1843 1838 1839 1839 1824 1808 1793 1778 1764 1759 1760 1765 1771 1779 1787 1793 1796 1807 1823 1838 1851 1856 1856 1855 1854 1859 1871 1889 1911 1933 1949 1959 1955 1938 1921 1905 1893 1888 1881 1876 1873 1866 1852 1829 1807 1786 1768 1751 1736 1723 1709 1695 1684 1677 1673 1667 1660 1654 1657 1663 1658 1648 1640 1635 1639 1649 1661 1672 1682 1689 1692 1692 1690 1685 1680 1683 1691 1696 1702 1710 1718 1721 1721 1723 1726 1726 1730 1740 1750 1762 1778 1796 1811 1825 1839 1850 1848 1839 1831 1830 1834 1833 1825 1819 1817 1812 1799 1783 1772 220 223 225 231 232 208 173 155 140 138 143 144 139 135 136 134 130 129 128 128 157 219 247 245 238 229 221 220 223 225 228 225 220 220 172 85 80 79 78 73 54 24 10 22 34 41 48 58 68 85 122 161 171 166 155 138 110 95 92 90 81 60 47 59 69 81 97 116 135 152 153 138 135 160 176 147 116 119 161 210 212 193 181 182 196 204 183 167 163 168 183 196 204 216 209 171 141 135 142 160 174 174 180 203 203 180 173 175 165 143 125 118 120 126 126 122 130 152 150 117 101 96 93 99 113 135 152 134 103 122 176 197 174 153 142 134 131 159 223 191 81 81 78 97 169 234 246 1770 1777 1787 1788 1782 1774 1763 1750 1739 1732 1733 1743 1751 1755 1758 1764 1772 1783 1797 1813 1829 1850 1876 1899 1917 1929 1931 1924 1916 1910 1907 1902 1889 1871 1853 1839 1827 1816 1808 1801 1794 1787 1780 1771 1763 1757 1749 1738 1733 1730 1728 1724 1715 1706 1701 1697 1696 1688 1682 1690 1700 1714 1732 1741 1755 1773 1785 1794 1793 1784 1773 1761 1744 1723 1701 1686 1684 1683 1685 1694 1708 1721 1731 1730 1719 1707 1696 1692 1699 1707 1714 1726 1737 1750 1763 1775 1785 1787 1785 1777 1765 1754 1739 1719 1703 1692 1680 1665 1652 1637 1622 1608 1605 1617 1635 1655 1672 1685 1696 1708 1723 1744 1765 1779 1784 1783 1773 1759 1745 1736 1733 1726 1714 1707 1700 1690 1678 1664 1647 1631 1617 1617 1622 1624 1621 1608 1588 1563 1526 1500 1476 1452 1431 1422 1416 1409 1403 1400 1397 1395 1393 1392 1389 1385 1382 1382 1378 1369 1365 1364 1367 1374 1379 1379 1379 1378 1379 1383 1382 1380 1377 1375 1376 1378 1380 1382 1384 1383 1377 1372 1370 1369 1370 1369 1370 1375 1378 1376 1375 1374 1369 1361 1355 1347 1341 1336 1329 1323 1319 1316 1307 1298 1289 1277 1264 1255 1249 1246 1242 1237 1234 1236 1239 1239 1237 1234 1231 1228 1225 1224 1224 1218 1203 1194 1194 1194 1194 1195 1742 1758 1774 1788 1803 1820 1834 1845 1849 1843 1832 1824 1818 1819 1828 1834 1836 1836 1836 1834 1831 1833 1841 1840 1827 1811 1795 1780 1766 1757 1753 1759 1764 1770 1776 1783 1793 1808 1823 1837 1846 1846 1842 1838 1840 1850 1865 1884 1905 1927 1943 1951 1944 1928 1910 1891 1879 1870 1865 1864 1866 1865 1854 1834 1811 1789 1770 1753 1739 1726 1710 1696 1684 1675 1668 1660 1655 1651 1652 1658 1655 1645 1635 1631 1637 1648 1658 1669 1677 1682 1684 1683 1682 1678 1675 1679 1684 1688 1691 1699 1708 1712 1712 1714 1717 1719 1728 1737 1748 1760 1774 1790 1806 1819 1830 1837 1836 1828 1821 1819 1823 1823 1816 1805 1800 1796 1787 1775 1764 1760 1767 1777 1778 1770 1763 1754 1742 1730 1720 1718 1729 1736 1739 1743 1750 1760 1771 1786 1804 1824 1845 1870 1894 1911 1918 1913 1904 1898 1892 1889 1889 1883 1872 1858 1844 1829 1815 1804 1798 1795 1794 1791 1786 1779 1775 1768 1758 1748 1743 1742 1734 1716 1705 1706 1713 1712 1699 1681 1674 1679 1692 1705 1713 1728 1751 1766 1778 1788 1789 1779 1766 1752 1736 1718 1701 1686 1677 1675 1681 1694 1707 1716 1719 1712 1701 1687 1681 1689 1694 1702 1712 1723 1736 1749 1765 1777 1778 1775 1765 1747 1730 1716 1704 1691 1678 1667 1653 1639 1626 1612 1598 1598 1614 1631 1649 1663 1674 1683 1695 1709 1725 1746 1764 1774 1780 1776 1763 1749 1739 1734 1729 1724 1724 1719 1708 1695 1681 1664 1642 1620 1605 1598 1596 1593 1587 1576 1560 1527 1500 1475 1450 1432 1429 1421 1412 1403 1397 1394 1391 1389 1388 1385 1379 1374 1376 1376 1370 1363 1359 1361 1367 1370 1370 1370 1370 1373 1376 1375 1372 1369 1369 1369 1371 1375 1379 1380 1377 1372 1367 1364 1363 1362 1361 1362 1367 1369 1367 1367 1365 1363 1357 1350 1343 1337 1331 1325 1316 1311 1310 1304 1297 1290 1279 1263 1251 1244 1242 1241 1238 1234 1231 1233 1234 1232 1230 1227 1224 1220 1222 1228 1222 1206 1196 1194 1194 1194 1195 • Example listing of 30MSOIL.ASC: ARCINFO ASCII grid format input file for soil type identification (only the 6 header lines and the first 3 lines of the input matrix are listed). ncols 367 nrows 691 xllcorner 544661.000000 yllcorner 4067133.000000 cellsize 30.000000 NODATA_value -9999 55 5 5 5 5 5 5 5 5 5 5 5 5 5 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 4 9 5 5 5 5 5 5 5 5 5 5 5 5 9 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 2 2 2 2 2 5 5 5 5 5 5 9 9 9 9 5 5 5 5 5 5 5 5 5 5 5 5 5 5 1 1 1 1 1 1 4 4 3 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 9 9 9 5 5 5 9 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 3 2 2 2 2 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 9 9 5 5 5 5 5 5 5 5 5 5 5 5 5 5 9 9 9 9 9 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 3 3 2 5 5 5 5 5 5 5 5 5 2 5 9 9 5 5 5 5 9 9 5 5 5 5 5 5 5 5 5 1 1 1 2 5 1 5 5 5 5 5 3 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 9 9 9 5 5 5 5 5 5 5 5 5 5 5 5 5 9 9 9 9 9 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 3 3 2 5 5 5 5 5 5 5 5 5 2 5 9 9 9 9 9 9 5 5 5 5 5 5 5 5 5 5 5 1 1 1 1 1 4 3 3 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 9 9 9 5 5 9 9 9 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 3 3 3 2 5 5 5 5 5 9 9 9 5 5 5 5 5 5 5 5 5 5 5 5 1 1 1 1 1 4 3 3 3 5 5 5 9 9 9 9 9 5 5 5 5 5 5 5 5 5 5 9 1 1 1 2 3 1 1 5 5 5 5 5 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 9 9 9 5 5 5 5 5 5 5 5 5 5 5 5 5 9 9 9 9 9 9 5 5 5 5 5 5 9 9 9 9 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 2 2 2 5 5 5 5 5 5 5 5 5 2 5 3 9 5 5 5 9 9 9 9 9 5 5 5 5 5 5 5 5 5 9 9 9 1 1 1 2 1 1 1 5 5 5 5 4 • Example listing of 30MSOIL.ASC: ARCINFO ASCII grid format input file for soil type identification (only the 6 header lines and the first 3 lines of the input matrix are listed). ncols 367 nrows 691 xllcorner 544661.000000 yllcorner 4067133.000000 cellsize 30.000000 NODATA_value -9999 11 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 4 4 4 4 1 1 1 1 1 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 3 3 3 3 3 4 4 4 4 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 4 4 4 4 1 1 1 1 1 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 4 4 4 4 4 4 4 4 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 4 4 3 3 1 1 1 1 1 1 1 1 1 1 3 1 2 2 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 1 3 4 4 3 1 1 3 1 1 1 1 1 3 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 4 3 1 1 1 1 1 1 1 1 1 1 3 1 2 2 1 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 2 3 4 4 3 3 4 3 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 1 1 1 1 1 1 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 4 4 4 1 1 1 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 4 4 4 4 4 4 4 4 4 4 4 3 1 1 1 1 1 1 1 1 1 3 1 3 2 1 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 1 2 2 2 3 4 4 4 4 4 3 1 1 1 1 3 • Example listing of 30MDEPTH.ASC: ARCINFO ASCII grid format input file for soil depth class identification (only the 6 header lines and the first 3 lines of the input matrix are listed). ncols 367 nrows 691 xllcorner 544661.000000 yllcorner 4067133.000000 cellsize 30.000000 NODATA_value -9999 11 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 4 4 4 4 3 1 1 1 1 1 1 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 3 3 3 4 4 4 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 4 4 3 1 1 1 1 1 1 1 1 1 3 1 2 2 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 3 4 4 3 1 1 1 1 1 1 1 3 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 4 4 4 4 1 1 1 1 1 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 4 4 4 4 4 4 4 4 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 4 4 4 1 1 1 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 4 4 4 4 4 4 4 4 4 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 4 3 1 1 1 1 1 1 1 1 1 1 3 1 2 2 1 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 2 3 4 4 3 3 4 3 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 1 1 1 1 1 1 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 4 3 1 1 1 1 1 1 1 1 1 3 1 3 2 1 1 1 2 2 2 2 2 1 1 1 1 1 1 1 1 1 2 2 2 3 4 4 4 4 4 3 1 1 1 1 3 • Example listing of 30MROCK.ASC: ARCINFO ASCII grid format input file for rock type identification number (only the 6 header lines and the first 3 lines of the input matrix are listed). ncols 367 nrows 691 xllcorner 544661.000000 yllcorner 4067133.000000 cellsize 30.000000 NODATA_value -9999 201 201 201 201 201 201 201 201 201 202 202 202 202 202 201 201 201 201 201 201 201 201 201 201 201 201 203 203 203 203 203 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 204 204 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 203 203 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 205 205 205 205 205 205 205 205 205 205 205 205 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 204 204 204 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 207 207 207 207 207 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 208 208 208 205 205 205 205 205 205 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 204 204 204 204 204 204 204 204 202 202 202 202 204 204 204 202 202 202 202 202 202 202 202 202 202 202 204 204 204 202 202 202 202 202 202 202 202 202 202 202 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 204 204 204 204 204 204 204 204 205 205 205 205 205 205 205 205 205 209 209 204 204 204 204 204 201 201 201 201 201 201 201 201 201 201 202 202 202 202 201 201 201 201 201 201 201 201 201 201 201 201 203 203 203 203 203 203 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 204 204 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 203 203 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 205 205 205 205 205 205 205 205 205 205 205 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 204 204 204 204 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 207 207 207 207 207 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 202 202 202 202 208 208 208 205 205 205 205 205 205 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 204 204 204 204 204 204 204 204 204 202 202 202 202 204 204 204 202 202 202 202 202 202 202 202 202 204 204 204 204 202 202 202 202 202 202 202 202 202 202 202 202 205 205 205 205 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207 207 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 206 202 202 202 202 202 202 202 202 208 208 208 205 205 205 205 205 205 205 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 204 204 204 204 204 204 204 204 204 204 204 204 204 204 204 202 202 202 202 202 202 202 202 202 204 204 204 202 202 202 202 202 202 202 202 202 202 202 202 202 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 204 204 204 204 204 204 204 204 204 204 204 205 205 205 205 205 209 209 209 204 204 204 204 204 • Example listing of 30MTOPO.ASC: ARCINFO ASCII grid format input file for topographic location number (only the 6 header lines and the first 3 lines of the input matrix are listed). ncols 367 nrows 691 xllcorner 544661.000000 yllcorner 4067133.000000 cellsize 30.000000 NODATA_value -9999 44 4 4 4 4 4 4 4 4 4 4 4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 1 1 3 4 4 5 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 2 2 2 2 2 4 4 4 4 4 4 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 1 2 2 4 4 4 4 4 4 4 4 4 2 4 3 3 2 2 2 2 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 5 4 4 4 4 4 4 2 2 4 4 4 4 4 4 4 4 4 4 4 5 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 1 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 1 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 2 2 2 2 4 4 4 4 4 3 3 3 3 5 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 6 4 4 4 4 4 4 4 4 4 4 4 5 5 4 4 4 4 3 3 3 4 4 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 2 2 2 2 5 5 4 4 4 3 3 3 2 5 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 2 2 2 2 4 4 4 4 4 4 4 4 4 4 2 4 3 3 2 2 2 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 3 2 2 2 2 2 2 2 4 5 5 4 4 2 4 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 4 4 4 4 4 4 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 2 2 4 4 4 4 4 4 4 4 4 2 4 2 3 2 2 2 3 3 3 3 3 2 2 2 2 2 2 2 2 2 3 3 3 2 2 2 2 2 2 2 5 4 4 4 1 • Example listing of 30MSITE.INP: main output file generated by BLOCKR7 V1.0 and supplied as input to GEOMAP7 (only the 6 header lines and the first 3 lines of the input matrix are listed). 1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 0 0 0 0 0 0 0 0 12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 0 0 0 0 0 0 0 0 13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 0 0 0 0 0 0 0 0 14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 0 0 0 0 0 0 0 0 15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 0 0 0 0 0 0 0 0 16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 • Figures used as part of the routine test plan: Figure VI-1. Shaded relief representation of the digital elevation model (DEM) used as input to BLOCKR7 V1.0 for calculating the blocking ridge angles required as input to INFIL V2.0 for the Yucca Mountain model domain. Hill545000 545000 550000 550000 555000 555000 40700004070000 40750004075000 40800004080000 40850004085000 shade 0 -132 133 -152 153 -164 165 -171 172 -175 176 -179 180 -186 187 -201 202 -254 Figure VI-2. Sky-view factor for Yucca Mountain model domain, indicating the percentage of sky viewed from the ground surface relative to the view from an infinite horizontal plane, generated for each model grid cell location using the 36 blocking ridge angles calculated in BLOCKR7 V1.0. i545000 545000 550000 550000 555000 555000 40700004070000 40750004075000 40800004080000 40850004085000 Skyvew 70 -73 73 -76 76 -79 79 -82 82 -85 85 -88 88 -91 91 -94 94 -97 97 -100 Figure VI-3. Sky-view factor for the area of the potential repository, indicating the expected high (> 90%) sky-view percentages for ridge-tops and alluviul fans, and the expected low (<80%) sky- view percentages on steep side-slopes and narrow washes. i545000 545000 550000 550000 555000 555000 40700004070000 40750004075000 40800004080000 40850004085000 Skyvew 70 -73 73 -76 76 -79 79 -82 82 -85 85 -88 88 -91 91 -94 94 -97 97 -100 • Listing of source code for routine BLOCKR7 V1.0: program blockr7 c This routine is a modification of the prototype routine c REGRIDGE, version 1.0 (3/24/98), c developed by Alan Flint, U.S. Geological Survey. c This routine was developed by c Joe Hevesi, U.S. Geological Survey, WRD c Placer Hall, 6000 J Street c Sacramento, CA, c c double precision east(1000,1000),north(1000,1000) double precision xll,yll,cellsize double precision easting,northing double precision dist,agl,dr,rd c real lat(1000,1000),long(1000,1000) real nodata2,x,y real angle(36),ang(36) real EL,EST,NTH,maxelev,initelev,perdone c version 1.0 c c This routine is the first in a sequence of pre-processing c routines used to develop the geospatial input files used c for the net infiltration modleing program, INFIL version 2.0. c c BLOCKR7 performs two functions: The first function is to c assemble the ASCII grid matrices that are exported from c ARCINFO and ARCVIEW using the standard ASCII raster grid c export format. A total of 9 ASCII grid matrices (one file c per parameter) are input to BLOCKR7. The routine combines c the separate parameters into a single xyz column formatted c ASCII output file. c c The second function performed by this routine is a calculation c of 36 blocking ridge angles (one angle for each 10 degree azimuth c direction, starting with 0 degrees for the positive Y direction). c The blocking ridge angles are used as input by INFIL version 2.0 c for the calculation of the reduction in skyview. The skyview factor c is calculated (using the blocking ridge angles) and output to c to 2 files (a column formatted ASCII text file and an ARCINFO c ASCII grid file) that are used to validate the blocking ridge c angles. c c The 9 input parameters, 2 UTM coordinates (easting and northing), c a row counter used as a grid cell identifier, and the 36 c blocking ridge angles are assembled into a single column c formatted ASCII text file with each row corresponding c to a grid cell location and each column corresponding to a c grid cell parameter according to the following column order: c c column 1: LOCID (grid location number) c column 2: X (UTM easting coordinate, in meters) c column 3: Y (UTM northing coordinate, in meters) c column 4: LAT (latitude for X coordinate, in decimal degrees) c column 5: LONG (longitude for Y coordinate, in decimal degress) c column 6: SLOPE (ground surface slope, in degress) c column 7: ASPECT (ground surface aspect, in degrees) c column 8: ELEV (ground surface elevation, in meters) c column 9: SOIL (soil type identification number) c column 10: DEPTH (soil depth class identification number) c column 11: ROCK (rock type identification number) c column 12: TOPOID (topographic position identification number) c column 13: RIDGE(1) (1st blocking ridge angle) c " " c " " c column 48 RIDGE(36) (last blocking risge angle) c c real sl2,aspect,viewf,costheta,theta real ridge2(36) real viewfactor(1000) c integer locid(1000,1000),slope(1000,1000),aspct(1000,1000), 1 elev(1000,1000),soil(1000,1000),dpth(1000,1000), 2 rock(1000,1000),topo(1000,1000) c integer iang integer xang(36),yang(36),ang2(36),anp(36) integer rows,cols,nodata1 integer xx,yy,k,cnt,lp,counter,totcell c character*20 locgrd,latgrd,longgrd,slopgrd,aspgrd,elevgrd, 1 soilgrd,dpthgrd,rockgrd,topogrd,outfile,skyfil1,skyfil2, 2 sumfile character*120 header character*14 ascgrid1,ascgrid2,ascgrid3,ascgrid4, 1 ascgrid5,ascgrid6 c c c---- parameters c---------------------------------------------------------------------72 c---- start routine c----------------------------------------------------------------------- c 5 format(A) open(unit=7,file='blockr7.ctl') read(7,5) header read(7,5) latgrd read(7,5) longgrd read(7,5) slopgrd read(7,5) aspgrd read(7,5) elevgrd read(7,5) soilgrd read(7,5) dpthgrd read(7,5) rockgrd read(7,5) topogrd read(7,5) outfile read(7,5) skyfil1 read(7,5) skyfil2 read(7,5) sumfile c c---- read in parameters used for blocking ridge angles read(7,*) nang do i = 1,nang read(7,*) iang,xang(iang),yang(iang) enddo c c---- open all files c -------------------------- open(unit=9,file=latgrd) open(unit=10,file=longgrd) open(unit=11,file=slopgrd) open(unit=12,file=aspgrd) open(unit=13,file=elevgrd) open(unit=14,file=soilgrd) open(unit=15,file=dpthgrd) open(unit=16,file=rockgrd) open(unit=17,file=topogrd) open(unit=18,file=outfile) open(unit=19,file=skyfil1) open(unit=20,file=sumfile) open(unit=21,file=skyfil2) c write(20,5) header c c dr = 0.0174533 rd = 57.29579 c c---- Begin input of standard ARCINFO ASCII matrix grid files c---- read-in latitude input grid file c and set up header info for skyview ASCII grid matrix c ---------------------------------------------------- read(9,*) ascgrid1,cols read(9,*) ascgrid2,rows read(9,*) ascgrid3,xll read(9,*) ascgrid4,yll read(9,*) ascgrid5,cellsize read(9,*) ascgrid6,nodata2 c write(*,25) write(20,25) 25 format(//,'LAT ASCII matrix grid file..........',/) write(*,77) ascgrid1,cols write(20,77) ascgrid1,cols write(21,77) ascgrid1,cols write(*,77) ascgrid2,rows write(20,77) ascgrid2,rows write(21,77) ascgrid2,rows write(*,66) ascgrid3,xll write(20,66) ascgrid3,xll write(21,66) ascgrid3,xll write(*,66) ascgrid4,yll write(20,66) ascgrid4,yll write(21,66) ascgrid4,yll write(*,66) ascgrid5,cellsize write(20,66) ascgrid5,cellsize write(21,66) ascgrid5, cellsize write(*,66) ascgrid6,nodata2 write(20,66) ascgrid6,nodata2 write(21,66) ascgrid6,nodata2 c do i = 1,rows read(9,*) (lat(i,j), j=1,cols) enddo c c c---- read-in longitude input grid file c --------------------------------- read(10,*) ascgrid1,cols read(10,*) ascgrid2,rows read(10,*) ascgrid3,xll read(10,*) ascgrid4,yll read(10,*) ascgrid5,cellsize read(10,*) ascgrid6,nodata2 c write(*,35) write(20,35) 35 format(//,'LONG ASCII matrix grid file..........',/) write(*,77) ascgrid1,cols write(20,77) ascgrid1,cols write(*,77) ascgrid2,rows write(20,77) ascgrid2,rows write(*,66) ascgrid3,xll write(20,66) ascgrid3,xll write(*,66) ascgrid4,yll write(20,66) ascgrid4,yll write(*,66) ascgrid5,cellsize write(20,66) ascgrid5,cellsize write(*,66) ascgrid6,nodata2 write(20,66) ascgrid6,nodata2 c do i = 1,rows read(10,*) (long(i,j), j=1,cols) enddo c c 77 format(a14,i12) 66 format(a14,f14.4) c c---- read-in slope input grid file c---- read-in aspect input grid file c ------------------------------ read(12,*) ascgrid1,cols read(12,*) ascgrid2,rows read(12,*) ascgrid3,xll read(12,*) ascgrid4,yll read(12,*) ascgrid5,cellsize read(12,*) ascgrid6,nodata1 c write(*,55) write(20,55) 55 format(//,'ASPCT ASCII matrix grid file..........',/) write(*,77) ascgrid1,cols write(20,77) ascgrid1,cols write(*,77) ascgrid2,rows write(20,77) ascgrid2,rows write(*,66) ascgrid3,xll write(20,66) ascgrid3,xll write(*,66) ascgrid4,yll write(20,66) ascgrid4,yll write(*,66) ascgrid5,cellsize write(20,66) ascgrid5,cellsize write(*,77) ascgrid6,nodata1 write(20,77) ascgrid6,nodata1 c do i = 1,rows read(12,*) (aspct(i,j), j=1,cols) enddo c c c---- read-in elevation input grid file c --------------------------------- read(13,*) ascgrid1,cols read(13,*) ascgrid2,rows read(13,*) ascgrid3,xll read(13,*) ascgrid4,yll read(13,*) ascgrid5,cellsize read(13,*) ascgrid6,nodata1 c write(*,65) c read(11,*) ascgrid1,cols read(11,*) ascgrid2,rows read(11,*) ascgrid3,xll read(11,*) ascgrid4,yll read(11,*) ascgrid5,cellsize read(11,*) ascgrid6,nodata1 c write(*,45) write(20,45) 45 format(//,'SLOPE ASCII matrix grid file..........',/) write(*,77) ascgrid1,cols write(20,77) ascgrid1,cols write(*,77) ascgrid2,rows write(20,77) ascgrid2,rows write(*,66) ascgrid3,xll write(20,66) ascgrid3,xll write(*,66) ascgrid4,yll write(20,66) ascgrid4,yll write(*,66) ascgrid5,cellsize write(20,66) ascgrid5,cellsize write(*,77) ascgrid6,nodata1 write(20,77) ascgrid6,nodata1 c do i = 1,rows read(11,*) (slope(i,j), j=1,cols) enddo c c c---- read-in soil type input grid file c --------------------------------- read(14,*) ascgrid1,cols read(14,*) ascgrid2,rows read(14,*) ascgrid3,xll read(14,*) ascgrid4,yll read(14,*) ascgrid5,cellsize read(14,*) ascgrid6,nodata2 c write(*,75) write(20,75) 75 format(//,'SOIL ASCII matrix grid file..........',/) write(*,77) ascgrid1,cols write(20,77) ascgrid1,cols write(*,77) ascgrid2,rows write(20,77) ascgrid2,rows write(*,66) ascgrid3,xll write(20,66) ascgrid3,xll write(*,66) ascgrid4,yll write(20,66) ascgrid4,yll write(*,66) ascgrid5,cellsize write(20,66) ascgrid5,cellsize write(*,77) ascgrid6,nodata1 write(20,77) ascgrid6,nodata1 c do i = 1,rows read(14,*) (soil(i,j), j=1,cols) enddo c c c---- read-in soil depth class input grid file c ---------------------------------------- read(15,*) ascgrid1,cols read(15,*) ascgrid2,rows read(15,*) ascgrid3,xll read(15,*) ascgrid4,yll read(15,*) ascgrid5,cellsize read(15,*) ascgrid6,nodata1 c write(*,85) write(20,85) 85 format(//,'DPTH ASCII matrix grid file..........',/) write(*,77) ascgrid1,cols write(20,77) ascgrid1,cols write(*,77) ascgrid2,rows write(20,77) ascgrid2,rows write(*,66) ascgrid3,xll write(20,66) ascgrid3,xll write(*,66) ascgrid4,yll write(20,66) ascgrid4,yll write(*,66) ascgrid5,cellsize write(20,65) 65 format(//,'ELEV ASCII matrix grid file..........',/) write(*,77) ascgrid1,cols write(20,77) ascgrid1,cols write(*,77) ascgrid2,rows write(20,77) ascgrid2,rows write(*,66) ascgrid3,xll write(20,66) ascgrid3,xll write(*,66) ascgrid4,yll write(20,66) ascgrid4,yll write(*,66) ascgrid5,cellsize write(20,66) ascgrid5,cellsize write(*,77) ascgrid6,nodata1 write(20,77) ascgrid6,nodata1 c do i =1,rows read(13,*) (elev(i,j), j=1,cols) enddo c c write(20,66) ascgrid5,cellsize write(*,77) ascgrid6,nodata1 write(20,77) ascgrid6,nodata1 c do i = 1,rows read(15,*) (dpth(i,j), j=1,cols) enddo c c c---- read-in rock type input grid file c---- read-in topographic ID input grid file c -------------------------------------- read(17,*) ascgrid1,cols read(17,*) ascgrid2,rows read(17,*) ascgrid3,xll read(17,*) ascgrid4,yll read(17,*) ascgrid5,cellsize read(17,*) ascgrid6,nodata1 c write(*,105) write(20,105) 105 format(//,'TOPOID ASCII matrix grid file..........',/) write(*,77) ascgrid1,cols write(20,77) ascgrid1,cols write(*,77) ascgrid2,rows write(20,77) ascgrid2,rows write(*,66) ascgrid3,xll write(20,66) ascgrid3,xll write(*,66) ascgrid4,yll write(20,66) ascgrid4,yll write(*,66) ascgrid5,cellsize write(20,66) ascgrid5,cellsize write(*,77) ascgrid6,nodata1 write(20,77) ascgrid6,nodata1 c do i = 1,rows read(17,*) (topo(i,j), j=1,cols) enddo c c totcell = rows * cols write(*,115) c read(16,*) ascgrid1,cols read(16,*) ascgrid2,rows read(16,*) ascgrid3,xll read(16,*) ascgrid4,yll read(16,*) ascgrid5,cellsize read(16,*) ascgrid6,nodata1 c write(*,95) write(20,95) 95 format(//,'ROCK ASCII matrix grid file..........',/) write(*,77) ascgrid1,cols write(20,77) ascgrid1,cols write(*,77) ascgrid2,rows write(20,77) ascgrid2,rows write(*,66) ascgrid3,xll write(20,66) ascgrid3,xll write(*,66) ascgrid4,yll write(20,66) ascgrid4,yll write(*,66) ascgrid5,cellsize write(20,66) ascgrid5,cellsize write(*,77) ascgrid6,nodata1 write(20,77) ascgrid6,nodata1 c do i = 1,rows read(16,*) (rock(i,j), j=1,cols) enddo c c 115 format(///) c c---------------------------------------------------------------------72 C SET UP THE INITIAL BLOCKING RIDGES AS ZERO'S C START THE LOOP SEARCHING FOR THE BLOCKING ANGLES FOR EACH LOCATION c----------------------------------------------------------------------- c------------search elevation input grid for highest point c for each 10 degree angle do 2000 k = 1,nang c k = ia x = ic y = ir maxelev = elev(ir,ic) do 3000 lp = 1,1000 x = x + xang(k) if((x .gt.cols).or. 1 (x.lt.1)) goto 2000 y = y + yang(k) if((y.gt.rows).or. 1 (y.lt.1)) goto 2000 if(maxelev.lt.elev(y,x)) then maxelev = elev(y,x) dist = sqrt((ic-x)**2+(ir-y)**2)*cellsize endif if(dist.eq.0) dist = 1 agl = atand((maxelev - initelev)/dist) if(agl.gt.angle(k)) angle(k) = agl c 3000 continue 2000 continue c c c------------calculate the 36 blocking ridge angles for each grid cell c --------------------------------------------------------- c------------1st quadrant ANG(1)=(10)/(11.25-0) 1 *(ANGLE(1)-ANGLE(32))+ANGLE(32) ANG(2)=(20-11.25)/(22.5-11.25) 1 *(ANGLE(2)-ANGLE(1))+ANGLE(1) ANG(3)=(30-22.5)/(33.75-22.5) 1 *(ANGLE(3)-ANGLE(2))+ANGLE(2) ANG(4)=(40-33.75)/(45-33.75) 1 *(ANGLE(4)-ANGLE(3))+ANGLE(3) ANG(5)=(50-45)/(56.25-45) 1 *(ANGLE(5)-ANGLE(4))+ANGLE(4) ANG(6)=(60-56.25)/(67.5-56.25) 1 *(ANGLE(6)-ANGLE(5))+ANGLE(5) ANG(7)=(70-67.6)/(78.75-67.5) 1 *(ANGLE(7)-ANGLE(6))+ANGLE(6) ANG(8)=(80-78.75)/(78.75-67.5) c cnt=0 DO 1000 ir = 1,rows DO 1300 ic = 1,cols c east(ir,ic) = xll + ((ic-1)*cellsize) north(ir,ic) = yll + ((rows-ir)*cellsize) sl2 = float(slope(ir,ic)) aspect = float(aspct(ir,ic)) c counter = counter + 1 perdone = float(counter)/float(totcell)*100. if (ic.eq.cols) write (*,1005) counter,ir,perdone 1005 format(i8,i8,f12.1) c do 1500 k = 1,36 angle(k)=0. 1500 continue initelev = elev(ir,ic) maxelev = elev(ir,ic) c 1 *(ANGLE(8)-ANGLE(7))+ANGLE(7) ANG(9)=ANGLE(8) c c------------2nd quadrant ANG(10)=(80-78.75)/(78.75-67.5) 1 *(ANGLE(9)-ANGLE(8))+ANGLE(8) ANG(11)=(70-67.6)/(78.75-67.5) 1 *(ANGLE(10)-ANGLE(9))+ANGLE(9) ANG(12)=(60-56.25)/(67.5-56.25) 1 *(ANGLE(11)-ANGLE(10))+ANGLE(10) ANG(13)=(50-45)/(56.25-45) 1 *(ANGLE(12)-ANGLE(11))+ANGLE(11) ANG(14)=(40-33.75)/(45-33.75) 1 *(ANGLE(13)-ANGLE(12))+ANGLE(12) ANG(15)=(30-22.5)/(33.75-22.5) 1 *(ANGLE(14)-ANGLE(13))+ANGLE(13) ANG(16)=(20-11.25)/(22.5-11.25) 1 *(ANGLE(15)-ANGLE(14))+ANGLE(14) ANG(17)=(10)/(11.25-0) 1 *(ANGLE(16)-ANGLE(15))+ANGLE(15) ANG(18)=ANGLE(16) c c------------3rd quadrant ANG(19)=(10)/(11.25-0) 1 *(ANGLE(17)-ANGLE(16))+ANGLE(16) ANG(20)=(20-11.25)/(22.5-11.25) 1 *(ANGLE(18)-ANGLE(17))+ANGLE(17) ANG(21)=(30-22.5)/(33.75-22.5) 1 *(ANGLE(19)-ANGLE(18))+ANGLE(18) ANG(22)=(40-33.75)/(45-33.75) 1 *(ANGLE(20)-ANGLE(19))+ANGLE(19) ANG(23)=(50-45)/(56.25-45) 1 *(ANGLE(21)-ANGLE(20))+ANGLE(20) ANG(24)=(60-56.25)/(67.5-56.25) 1 *(ANGLE(22)-ANGLE(21))+ANGLE(21) ANG(25)=(70-67.6)/(78.75-67.5) 1 *(ANGLE(23)-ANGLE(22))+ANGLE(22) ANG(26)=(80-78.75)/(78.75-67.5) 1 *(ANGLE(24)-ANGLE(23))+ANGLE(23) ANG(27)=ANGLE(24) c c------------ 4rth quadrant ANG(28)=(80-78.75)/(78.75-67.5) 1 *(ANGLE(25)-ANGLE(24))+ANGLE(24) ANG(29)=(70-67.6)/(78.75-67.5) 1 *(ANGLE(26)-ANGLE(25))+ANGLE(25) ANG(30)=(60-56.25)/(67.5-56.25) 1 *(ANGLE(27)-ANGLE(26))+ANGLE(26) ANG(31)=(50-45)/(56.25-45) 1 *(ANGLE(28)-ANGLE(27))+ANGLE(27) ANG(32)=(40-33.75)/(45-33.75) 1 *(ANGLE(29)-ANGLE(28))+ANGLE(28) ANG(33)=(30-22.5)/(33.75-22.5) 1 *(ANGLE(30)-ANGLE(29))+ANGLE(29) ANG(34)=(20-11.25)/(22.5-11.25) 1 *(ANGLE(31)-ANGLE(30))+ANGLE(30) ANG(35)=(10)/(11.25-0) 1 *(ANGLE(32)-ANGLE(31))+ANGLE(31) ANG(36)=ANGLE(32) c c c------------ calculate viewfactor for validation c ----------------------------------- viewfactor(ic) = 0. do 4000 ii = 1,36 ridge2(ii) = 90.-ang(ii) costheta = cos(sl2*dr)*cos(ridge2(ii)*dr) 1 +sin(sl2*dr)*sin(ridge2(ii)*dr) 2 *cos((ii*10.-aspect)*dr) c theta = -atan(costheta / sqrt(-costheta ** 2. + 1.)) 1 + 90. * dr theta = 90. - theta * rd viewf = 90. - theta if(viewf.ge.90.) viewf = 90. viewfactor(ic) = viewfactor(ic) + viewf 4000 continue viewfactor(ic) = (viewfactor(ic)/(36.*90.))*100. ii = 0. c c c------------set calculated angles to integer values c --------------------------------------do 5000 cnt = 1,36 ang2(cnt) = INT(ang(cnt)) 5000 continue c c c------------assemble all parameters and write to output file, c one line at a time c ------------------------------------------------topo2 = 1 write(18,5005) counter,east(ir,ic),north(ir,ic), 1 lat(ir,ic),long(ir,ic),slope(ir,ic),aspct(ir,ic), 2 elev(ir,ic),soil(ir,ic),dpth(ir,ic),rock(ir,ic), 3 topo(ir,ic),(ang2(cnt),cnt=1,36) c 5005 format(i7,f10.1,f11.1,2f9.4,2i5,i6,i3,i3,i4,i3,36i3) c c write(19,5105) east(ir,ic),north(ir,ic),viewfactor(ic) 5105 format(f10.1,f11.1,f12.6) c 1300 continue c c-------- write skyview results to ARCINFO ASCII grid file write(21,2305) (viewfactor(ic), ic=1,cols) 2305 format(30000f9.2) c 1000 continue c close(18) close(19) close(20) close(21) stop END ATTACHMENT VII INCLUSION OF UPDATED BEDROCK GEOLOGY USING GEOMAP7 V1.0 TOTAL PAGES: 28 Title: Simulation of Net Infiltration for Modern and Potential Future Climates Inclusion Of Updated Bedrock Geology Using GEOMAP7 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: GEOMAP7 V1.0 OS and hardware environment: Windows NT 4.0, Pentium Pro PC Computer Identification: SM321276 with a USGS specific host-name P720dcasr Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for GEOMAP7 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 5.0. 3. General Description of routine/macro: GEOMAP7 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically for the analysis/model activity documented in this AMR. The routine source code (GEOMAP7.FOR), compiled executable file (GEOMAP7.EXE), routine control file (GEOMAP7.CTL), input and output files, validation test files, and a copy of this attachment, are located under the directory GEOMAP7 on a CD-ROM labeled GEOINPUT-1. The routine source code, control file, and the input and output files are ASCII text files that can be read using any standard ASCII text editor and can be imported into standard word processing applications such as Microsoft Word. The executable file can be used to run GEOMAP7 V1.0 on any PC with an INTEL processor (with adequate RAM). All parameters calculated by GEOMAP7 V1.0 that are included in the developed output file GEOMAP7.INP are used for the development of the geospatial parameter input file for INFIL V2.0. The file GEOMAP7.INP is used directly as input to the routine SOILMAP6 V1.0 (see Attachment IX). 4. Test plan for the software routine GEOMAP7 V1.0: • Explain whether this is a routine or macro and describe what it does: GEOMAP7 V1.0 is the second routine in a sequence of developed FORTRAN77 routines that are used in the development of the geospatial parameter input files for INFIL V2.0. The primary function performed by the routine is the inclusion of the updated bedrock geology map for the central block area (source data obtained from Day and others, 1998, (GS971208314221.003) into the original geospatial parameter input file (30MSITE.INP) used as input for INFIL V1.0, the 1996 version of the net infiltration model (Flint and others, 1996). The modified bedrock geology is defined by the rock-type identification Title: Simulation of Net Infiltration for Modern and Potential Future Climates number included in the output file GEOMAP7.INP. The updated bedrock geology map is provided as an ASCII text, column-formatted input file named NEWGEOL.DAT. Using standard ARCINFO applications, NEWGEOL.DAT is developed by rasterizing1 the available source data2 onto the grid geometry defined by 30MSITE.INP and exporting the rasterized data as a column-formatted, xyz ASCII text file. To incorporate the updated bedrock geology, GEOMAP7 scans the input grid defined by the easting and northing coordinate locations in 30MSITE.INP (columns 2 and 3), matches the grid cells with the corresponding locations of NEWGEOL.DAT, and substitutes the existing rock-type identification number in column 11 of 30MSITE.INP with the updated rock-type identification number in NEWGEOL.DAT. To identify the new rock-type identification numbers as separate from the original rock-type identification numbers used in 30MSITE.INP, which are based on the geologic maps developed by Scott and Bonk (1984) (MO0003COV00095.000) and Sawyer et al. (1995) (GS000300001221.010), GEOMAP7 adds 300 to the initial integer values provided by NEWGEOL.DAT. A second function performed by the routine is a back-substitution of the original Scott and Bonk (1984) rock-type identification number (column 11 in 30MSITE.INP) wherever there are locations with soil thickness less than 6 meters as identified by the soil depth class number (column 10 in 30MSITE.INP), and which are associated with an updated rock-type identification number that corresponds to alluvium. The back- substitution is accomplished by excluding the updated rock-type numbers during the scanning of the input grid and is performed only if the original rock-type defined in 30MSITE.INP is associated with a consolidated rock-type. The input and output files used by GEOMAP7 are defined in the routine control file GEOMAP7.CTL that is itself an input file for the routine. The input files defined in GEOMAP7.CTL consist of 30MSITE.INP, NEWGEOL.DAT, and the output file GEOMAP7.INP. Two additional lines following the filenames are a lower and upper bound easting coordinate (5th line in file, two input values) and a lower and upper bound northing coordinate (6th line in file, two input values). These parameters are used only to limit the search area scanned by GEOMAP7 to a rectangular area centered over and fully containing all grid cells in NEWGEOL.DAT associated with rock-type identification numbers from Day and others (1998). The purpose of this function is only to decrease routine run-time, and is not associated with functions used in the development of the output file. 1 Rasterization refers to a standard ARCINFO operation of transferring spatial data defined by points, vector lines, and polygons onto the grid-cell areas of a “raster” grid matrix defined by a fixed square cell dimension, the location coordinates of the lower left grid cell included in the matrix, and the number of rows and columns defining the matrix. 2 The source data consists of an ARCINFO vector-based map coverage (*.e00 file and associated metadata) Title: Simulation of Net Infiltration for Modern and Potential Future Climates • Listing of FORTRAN77 Source code: A listing of the FORTRAN77 source code for the routine GEOMAP7 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: A validation test of the functions performed by the routine was conducted by a visual comparison between the input files (30MSITE.INP and NEWGEOL.DAT) and the output file (GEOMAP7.INP). The test plan for the primary function performed by GEOMAP7 consists of a visual verification that the rock-type identification numbers defining the updated geology (and provided as input by NEWGEOL.DAT) are associated with the correct grid cell locations defined by the new geospatial parameter input file (GEOMAP7.INP). The test plan involves a visual verification that a value of 300 has been added to the updated rock-type identification numbers. The test plan for the additional function performed by GEOMAP7 (exclusion of the updated rock-type based on a comparison against the soil depth map and the updated geology) consists of a visual verification that the rock-type identification numbers defining the original geology (column 11 in 30MSITE.INP) are associated with the correct grid cell locations based on a comparison against both the soil depth map and the updated geology map. The comparison of input and output grid cell values was facilitated using the raster-based grid and map-imaging utilities available in the acquired software program TRANSFORM. The raster-based grid and map-imaging utilities allow for an analysis of the entire raster grid and also a detailed evaluation of grid cell values for specified grid locations. The criteria applied during this phase of the routine test plan was an indication by the map images generated in TRANSFORM that: 1) a value of 300 had been correctly added to the updated geology, 2) that modifications to the rock-type parameter had been performed to the correct grid cell locations, and 3) that the bedrock geology defined by Day and others (1998) had been correctly represented by the modified rock-type parameter. Additional routine validation tests were performed by extracting and comparing identical subsets (in terms of grid cell locations) from the raster images created in TRANSFORM and by importing identical subsets (based on grid cell locations) of the input file 30MSITE.INP and the output file GEOMAP7.INP into an EXCEL worksheet file. This method of testing provided an additional check that the functions performed by GEOMAP7 were operating correctly. The EXCEL worksheet file (GEOMAP7.XLS) was used to perform an inspection of the entire set of geospatial parameters for a selected subset of grid locations. The criteria applied in this method of validation consisted of verifying within the spreadsheet that the intended modification of the geospatial input file had been correctly performed, and that no unintended modifications had occurred during program execution, either to the parameters being modified (in this case, the rock-type identification number) or to any of the other parameters not requiring modification during this stage of the development of the geospatial parameter input files for INFIL V2.0. Title: Simulation of Net Infiltration for Modern and Potential Future Climates • Specify the range of input values to be used and why the range is valid: Two column-formatted ASCII-text files, NEWGEOL.DAT and 30MSITE.INP, are used as input by GEOMAP7 V1.0. Both files consist of a series of rows (one row per grid cell location), two columns defining grid cell locations (NAD27 UTM, zone 11 coordinates, in meters), and additional columns containing the geospatial input parameters associated with each grid cell. The two input files are specified in the routine control file, GEOMAP7.CTL, which is the third input file needed for the execution of GEOMAP7 V1.0. The range of input values specified in the listing below is valid because these values were obtained from ARCINFO using the source data as input and the functions performed by the routine BLOCKR7 V1.0 (see Attachment VI for description of source data used for 30MSITE.INP). The input parameters are identical to the geospatial input parameters used for INFIL V1.0 (Flint and others, 1996). 1. NEWGEOL.DAT: Column-formatted ASCII text file consisting of 4 columns and 57,038 rows. This file is exported from ARCINFO using the Day and others (1998) (DTN: GS971208314221.003) geology map and the merged digital elevation model (DTN: GS000308311221.006) as input. The first column defines the grid cell location number, the next two columns define the UTM easting and northing coordinates (in meters) for each grid cell location, and the fourth column defines the updated rock-type identification number from Day and others (1998) consisting of values ranging from 1 to 45, and a no-data flag of -99. 2. 30MSITE.INP: Column-formatted ASCII text file consisting of 48 columns and 253,597 rows. This file is developed as the output from BLOCKR7. The rock-type identification numbers are located in column 11 and consist of integer values ranging from 1 to 214. The rock-type identification numbers were used as input for INFIL V1.0 (Flint and others, 1996) and are based on the Scott and Bonk (1984) (DTN: MO0003COV00095.000) and the Sawyer et al. (1995) (DTN: GS000300001221.010) geology maps. A more complete description of the parameters included in this file, along with input and output ranges, is provided in Attachment VI. 5. Test Results. • Output from test: The output for the test case is the main output file GEOMAP7.INP generated by GEOMAP7 V1.0. Additional files developed as part of the testing procedure include four TRANSFORM map image files (NEWGEOL.HDF, 30MGEOL.HDF, 30MDPTH.HDF, and GEOMAP7.HDF) that are used to inspect the modified parameters between the input and output files and an EXCEL worksheet (GEOMAP7.XLS) used to perform additional inspections of parameter modifications for a selected subset of grid cell locations. Title: Simulation of Net Infiltration for Modern and Potential Future Climates • Description of how the testing shows that the results are correct for the specified input: The map images developed using TRANSFORM (Figures VII-1 through VII-3) indicate by visual inspection that the integer values defining the updated bedrock geology from Day and others (1998) have been correctly incorporated into the output file GEOMAP7.INP that is created by GEOMAP7. For example, it is verified by visual inspection that the original rock-type identification parameters (Figure VII-2), which range from 1 to 214, have been correctly modified to include the updated rock-types (Figure VII-1), which consist of integer values ranging from 1 to 45, because the rock- type identification numbers of the output file show the correct composite spatial positioning of the three separate geologic maps and the new rock-type identification numbers range from 301 to 345 (Figure VII-3). Visual inspection of the map images indicates that the integer values represented by Figure VII-1 have been correctly overlain onto the original rock-type integer values shown in Figure VII-2 and increased by a value of 300 to produce the final set of rock-type identification numbers represented by Figure VII-3. The test criteria of the correct placement of updated rock-type identification numbers and the correct separation of the updated integer values from the original rock- type identification numbers by adding 300 to the integer values provided by NEWGEOL.DAT is satisfied based on the visual comparison of the map images. Verification that the correct back-substitution of the original rock-type identification numbers for Scott and Bonk (1984) geology for locations where a soil depth of less than 6 meters (soil depth classes less than 4) coincided with mapped alluvium from Day and others (1998) is provided by a comparison of Figures VII-4 (indicating the original rock- type identification numbers defined using Scott and Bonk (1984)) and VII-5 (indicating the new rock-type identification numbers defined using Day and others (1998) with Figure VII-4 (the new rock-type identification numbers) and Figure VII-6 (the soil depth class map). The locations where the Scott and Bonk (1984) rock-types were retained coincide with the locations of upper washes and lower sideslopes where mapping bedrock geology is less certain because of increasing soil thickness, and this is the intended result. Additional validation that the test criteria are satisfied for the two functions performed by GEOMAP7 is provided by Tables VII-1 through VII-6. Tables VII-1 through VII-4 were created by selecting in TRANSFORM a subset of the raster matrix grid defined by 30MSITE.INP from the map images of the Day and others (1998) geology map (NEWGEOL.HDF) for Table VII-1, the soil depth class map (30MDPTH.HDF) for Table VII-2, the original rock-type identification numbers in 30MSITE.INP (30MGEOL.HDF) for Table VII-3, and the new rock-types identification numbers created by GEOMAP7 (GEOMAP7.HDF) for Table VII-4. A comparison of the four tables indicates that the new rock-type numbers were correctly substituted and increased by 300 (validation of test criteria for the first function) and that the original consolidated rock-type number 20 from Scott and Bonk (1984) was retained for three grid locations were the updated rock-types of 301 and 302 indicated unconsolidated rock-types for a location having only 0 to 0.5 meters of soil cover (which is inconsistent). For satisfying the test criteria that no modifications were made to parameters other than rock-type, identical sections of the files 30MSITE.INP and GEOMAP7.INP were extracted into an EXCEL worksheet (GEOMAP7.XLS). Table VII-5 shows the input parameters obtained Title: Simulation of Net Infiltration for Modern and Potential Future Climates from 30MSITE.INP (with the exception of the 36 blocking ridge parameters) and Table VII-6 shows that the only parameter modified in the output file GEOMAP7 is the rock-type identification. • List limitations or assumptions to this test case and code in general: The limitations of the developed test case are based on the practical limitations of verifying modified parameter values for all 253,597 grid cells included in the output file used for the developed test case. Validation of the entire output file used in the test case was performed as a visual evaluation of a map image produced in TRANSFORM. Only a subset of the entire output file could be used for more detailed validation tests that were performed in an EXCEL worksheet. • Electronic files identified by name and location: Electronic files are located on CD-ROM labeled GEOINPUT-1, under the directory GEOMAP7, included as an attachment to the AMR. The following electronic files are provided: GEOMAP7.CTL: Input file consisting of the input and output file names for GEOMAP7 V1.0, along with 4 UTM coordinate parameters that are used to define a rectangular area centered over and containing the updated central block bedrock geology map from Day and others (1998). GEOMAP7.FOR: FORTRAN source code listing for the routine GEOMAP7 V1.0. A printout of the source code is included as part of this attachment. GEOMAP7.EXE: Executable file for the routine GEOMAP7 V1.0, compiled for INTEL processors. NEWGEOL.DAT: Input file consisting of a column-formatted, ASCII text file with 4 columns and 57,038 rows. This file was developed in ARCINFO by a rasterization of the Day and others (1998) map coverage, (DTN: GS971208314221.003) which is an ARCINFO vector- based file (*.e00 file), onto the raster-grid defined by the merged digital elevation model (DTN: GS000308311221.006). The rasterized map was exported from ARCINFO as a column- formatted, ASCII text file. A partial print-out of the first part of this file is included as part of this attachment. 30MSITE.INP: Input file consisting of a column-formatted, ASCII text file with 48 columns and 253,597 rows. Each row corresponds to a grid cell location for the geospatial parameter base grid (the UTM location coordinates are defined by columns 2 and 3). This file is developed as output from BLOCKR7 V1.0 (see Attachment VI of this AMR for more details). A partial print-out of the first part of this file is included as part of this attachment. Title: Simulation of Net Infiltration for Modern and Potential Future Climates GEOMAP7.INP: Output file consisting of a column-formatted, ASCII text file with 48 columns and 253,597 rows. Each row corresponds to a grid cell location for the geospatial parameter base grid (the UTM location coordinates are defined by columns 2 and 3). Column 11 of this file includes the updated rock-type identification numbers as a result of the functions performed by the routine GEOMAP7 V1.0. A partial print-out of the first part of this file is included as part of this attachment. GEOMAP7.XLS: EXCEL worksheet used to perform the software routine validation test, provided only as supporting information for the validation test. This file is not a part of the routine application. GEOMAP7.HDF: TRANSFORM raster-based map image of the updated rock-type identification numbers (created using column 11 in GEOMAP7.INP) used to perform the software routine validation test, provided only as supporting information for the validation test. This file is not a part of the routine application. 30MGEOL.HDF: TRANSFORM raster-based map image of the original rock-type identification numbers (created using column 11 in 30MSITE.INP) used to perform the software routine validation test, provided only as supporting information for the validation test. This file is not a part of the routine application. NEWGEOL.HDF: TRANSFORM raster-based map image of the rasterized central block bedrock geology map from Day and others (1998) (created using column 4 in NEWGEOL.DAT) used to perform the software routine validation test, provided only as supporting information for the validation test. This file is not a part of the routine application. 30MDPTH.HDF: TRANSFORM raster-based map image of the soil depth class number (created using column 10 in 30MSITE.INP) used to perform the software routine validation test, provided only as supporting information for the validation test. This file is not a part of the routine application. 6. Supporting Information. (Include background information, such as revision to a previous routine or macro, or explanation of the steps performed to run the software. Include listings of all electronic files and codes used). • Procedure for running routine: To run the routine GEOMAP7 V1.0, an executable version of the code, the input files NEWGEOL.DAT and 30MSITE.INP, and the routine control file GEOMAP7.CTL must be placed in the same directory. The routine is executed by typing GEOMAP7 in a DOS window, or by double clicking on the file GEOMAP7.EXE in the Microsoft Windows operating system. The input and output file names and the parameters used for the Title: Simulation of Net Infiltration for Modern and Potential Future Climates blocking ridge calculations must be in the correct sequential order as specified in the routine control file GEOMAP7.CTL (see example listing in this section) • Example listing of routine control file GEOMAP7.CTL geomap7.ctl Routine GEOMAP7 to incorporate new bedrock geology map (Day and others, 1998) newgeol.dat 30msite.inp geomap7.inp 545357 551200 4075111 4083269 • Example listing of 30MSITE.INP. This is the main input file used by GEOMAP7 V1.0 (only the first 20 lines of the file are listed) 1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 0 0 0 0 0 0 0 0 12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 0 0 0 0 0 0 0 0 13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 0 0 0 0 0 0 0 0 14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 0 0 0 0 0 0 0 0 15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 0 0 0 0 0 0 0 0 Title: Simulation of Net Infiltration for Modern and Potential Future Climates 16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 • Example listing of NEWGEOL.DAT. This is the ASCII text file exported from ARCINFO and developed as a rasterization of the vector-based bedrock geology map from Day and others (1998). The first column is the grid cell location number, columns 2 and 3 are the NAD27 UTM zone 11 coordinates (in meters), and column 4 is the integer code associated with the Day and others (1998) (DTN: GS971208314221.003) central block geology map (values range from 1 to 45, with a no-data flag of –99). 56812 549971. 4082283. 2 56813 550001. 4082283. 1 56814 550031. 4082283. 1 56815 550061. 4082283. 1 56816 550091. 4082283. 1 56817 550121. 4082283. 1 56818 550151. 4082283. 1 56819 550181. 4082283. 1 56820 550211. 4082283. 1 56821 550241. 4082283. 1 56822 550991. 4082283. 2 56823 551021. 4082283. 2 56824 551051. 4082283. -99 56825 551081. 4082283. -99 56826 551111. 4082283. -99 56827 551141. 4082283. -99 56828 551171. 4082283. -99 56955 545381. 4082253. -99 56956 545411. 4082253. -99 56957 545441. 4082253. -99 56958 545471. 4082253. -99 56959 545501. 4082253. -99 56960 545531. 4082253. -99 56961 545561. 4082253. -99 56962 545591. 4082253. -99 56963 545621. 4082253. -99 56964 545651. 4082253. -99 56965 545681. 4082253. -99 56966 545711. 4082253. -99 56967 545741. 4082253. -99 56968 545771. 4082253. -99 56969 545801. 4082253. -99 56970 545831. 4082253. -99 56971 545861. 4082253. -99 56972 545891. 4082253. -99 56973 545921. 4082253. -99 56974 545951. 4082253. -99 56975 545981. 4082253. -99 56976 546011. 4082253. -99 Title: Simulation of Net Infiltration for Modern and Potential Future Climates 56977 546041. 4082253. -99 56978 546071. 4082253. -99 56979 546101. 4082253. -99 56980 546131. 4082253. -99 56981 546161. 4082253. -99 56982 546191. 4082253. -99 56983 546221. 4082253. -99 56984 546251. 4082253. -99 56985 546281. 4082253. -99 56986 546311. 4082253. -99 56987 546341. 4082253. -99 56988 546371. 4082253. -99 56989 546401. 4082253. -99 56990 546431. 4082253. 12 56991 546461. 4082253. 12 56992 546491. 4082253. 12 56993 546521. 4082253. 12 56994 546551. 4082253. 12 56995 546581. 4082253. 13 56996 546611. 4082253. 13 56997 546641. 4082253. 14 56998 546671. 4082253. 19 56999 546701. 4082253. 19 57000 546731. 4082253. 20 57001 546761. 4082253. 21 57002 546791. 4082253. 21 57003 546821. 4082253. 24 57004 546851. 4082253. 23 57005 546881. 4082253. 22 57006 546911. 4082253. 21 57007 546941. 4082253. 21 57008 546971. 4082253. 21 57009 547001. 4082253. 20 57010 547031. 4082253. 20 57011 547061. 4082253. 19 57012 547091. 4082253. 20 57013 547121. 4082253. 20 57014 547151. 4082253. 20 57015 547181. 4082253. 2 57016 547211. 4082253. 2 57017 547241. 4082253. 20 57018 547271. 4082253. 19 57019 547301. 4082253. 20 57020 547331. 4082253. 21 57021 547361. 4082253. 21 57022 547391. 4082253. 23 57023 547421. 4082253. 24 57024 547451. 4082253. 24 57025 547481. 4082253. 1 57026 547511. 4082253. 1 57027 547541. 4082253. 1 57028 547571. 4082253. 24 57029 547601. 4082253. 22 57030 547631. 4082253. 21 57031 547661. 4082253. 19 57032 547691. 4082253. 14 57033 547721. 4082253. 12 57034 547751. 4082253. 12 57035 547781. 4082253. 12 57036 547811. 4082253. 12 57037 547841. 4082253. 12 57038 547871. 4082253. 12 57039 547901. 4082253. 12 57040 547931. 4082253. 12 57041 547961. 4082253. 13 Title: Simulation of Net Infiltration for Modern and Potential Future Climates 57042 547991. 4082253. 13 57043 548021. 4082253. 12 57044 548051. 4082253. 12 57045 548081. 4082253. 12 57046 548111. 4082253. 12 57047 548141. 4082253. 12 • Example listing of GEOMAP7.INP (only the first 20 lines are included in the printout). This is the output file generated by GEOMAP7 V1.0 and supplied as input to the routine GEOMOD4 V1.0 (See Attachment VIII). 1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 0 0 0 0 0 0 0 0 12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 0 0 0 0 0 0 0 0 13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 0 0 0 0 0 0 0 0 14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 0 0 0 0 0 0 0 0 15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 0 0 0 0 0 0 0 0 16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Title: Simulation of Net Infiltration for Modern and Potential Future Climates 18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 Title: Simulation of Net Infiltration for Modern and Potential Future Climates • Figures used as part of the routine test plan: UTM northing, in meters 4082500 4081250 4080000 4078750 4077500 4076250 546000 547667 549333 551000 UTM easting, in meters 1 612172328333944 Newgeol_dat_4: rock-type ID number Figure VII-1. TRANSFORM map image of the rasterized central block geology map form Day and others (1998) (DTN: GS971208314221.003). The image (file NEWGEOL.HDF) was developed using column 4 of the file NEWGEOL.DAT provided as input for GEOMAP7 V1.0. Black indicates grid locations with no data (identified by values of –99) Title: Simulation of Net Infiltration for Modern and Potential Future Climates UTM northing (meters) 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 550000 554000 UTM easting (meters) 25 50 75 100 125 150 175 200 _30msite_inp_11: bedrock identifier Figure VII-2. TRANSFORM map image of the rock-type identification numbers representing the original bedrock geology input for INFIL V1.0 (Flint and others, 1996). The map image (file 30MSITE.HDF) was developed using column 11 of the file 30MSITE.INP that was provided as input to GEOMAP7 V1.0. Title: Simulation of Net Infiltration for Modern and Potential Future Climates UTM northing (meters) 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 550000 554000 UTM easting (meters) 50 100 150 200 250 300 Geomap7_inp: Bedrock identifier Figure VII-3. TRANSFORM map image of the updated rock-type identification numbers created by GEOMAP7. The map image (GEOMAP7.HDF) was developed using column 11 of the file GEOMAP7.INP generated as output from GEOMAP7 V1.0. Title: Simulation of Net Infiltration for Modern and Potential Future Climates UTM northing (meters) 4082500 4081250 4080000 4078750 4077500 4076250 4075000 546000 547667 549333 551000 UTM easting (meters) 13 25 38 50 63 Geomap7_inp_11_rock-type number Figure VII-4. TRANSFORM map image of the updated rock-type identification numbers created by GEOMAP7. The map image (file GEOMAP7b.hdf) was developed using column 11 from file GEOMAP7.INP and is used to indicate grid cells where the original rock-type numbers from the Scott and Bonk (1984) geology map were left in place. Title: Simulation of Net Infiltration for Modern and Potential Future Climates UTM northing (meters) 4082500 4081250 4080000 4078750 4077500 4076250 4075000 546000 547667 549333 551000 UTM easting (meters) 300 310 320 330 340 Geomap7_inp_11_rock-type number Figure VII-5. TRANSFORM map image of the updated rock-type identification numbers created by GEOMAP7. The map image (file GEOMAP7c.hdf) was developed using column 11 from file GEOMAP7.INP and is used to indicate grid cells where the updated rock-type numbers from the Day and others (1998) geology map were exchanged for the original rock-type numbers of the input file 30MSITE.INP. Title: Simulation of Net Infiltration for Modern and Potential Future Climates UTM northing, in meters 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 550000 554000 UTM easting, in meters 1.0 2.0 3.0 4.0 _30msite_inp_10: soil depth class Figure VII-6. TRANSFORM map image (file 30MDEPTH.HDF) of soil depth class (integer values from 1 to 4) for the area of the Yucca Mountain model domain, generated using column 10 of the file 30MSITE.INP and used as input for GEOMAP7. Title: Simulation of Net Infiltration for Modern and Potential Future Climates • Tables used as part of the routine test plan: Table VII-1. Subset of raster grid matrix from the file NEWGEOL.DAT that is provided as input to GEOMAP7 V1.0. The rock-type identification numbers correspond to the geologic codes provided by Day and others (1998) for the central block geology of Yucca Mountain. Rock-type values of 1 and 2 in NEWGEOL.DAT indicate unconsolidated rocks (alluvium and colluvium). UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547991 548021 548051 4076523 18 16 16 4076493 18 18 18 4076463 18 18 18 4076433 18 18 18 4076403 2 1 1 4076373 2 2 2 Title: Simulation of Net Infiltration for Modern and Potential Future Climates Table VII-2. Subset of raster grid matrix for soil depth class from the file 30MSITE.INP (identical to the grid cell locations used in Table VII-1) that is provided as input to GEOMAP7 V1.0. Soil depth class values are provided in column 10 of 30MSITE.INP, and were used as input for INFIL V1.0 (Flint and others, 1996). The soil depth class values of 1 indicate thin upland soils ranging from 0 to 0.5 meters in thickness for all grid cell locations in the selected subset. UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547991 548021 548051 4076523 1 1 1 4076493 1 1 1 4076463 1 1 1 4076433 1 1 1 4076403 1 1 1 4076373 1 1 1 Title: Simulation of Net Infiltration for Modern and Potential Future Climates Table VII-3. Subset of raster grid matrix from 30MSITE.INP (identical to the grid cell locations used in Table VII-1) showing rock-type identification numbers used in the geospatial parameter input file for INFIL V1.0 (Flint and others, 1996) and provided as input to GEOMAP7. The rock-type identifier codes correspond to the rasterized bedrock geology map of Scott and Bonk (1984). UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547991 548021 548051 4076523 20 20 20 4076493 20 20 20 4076463 20 20 20 4076433 20 20 20 4076403 1 1 1 4076373 20 20 20 Title: Simulation of Net Infiltration for Modern and Potential Future Climates Table VII-4. Subset of raster grid matrix from GEOMAP7.INP (identical to the grid cell locations used in Tables VII-1 and VII-2) showing new rock-type identification numbers (values of 300 and greater) created by GEOMAP7 using updated bedrock geology map from Day and others (1998). Rock-type identification numbers less than 300 indicate locations where the original rock-type used for INFIL V1.0 (Flint and others, 1996) was substituted back because the updated rock-type indicated alluvium or colluvium for locations having less than 6 meters of soil cover, as identified by the soil depth class map. UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547991 548021 548051 4076523 318 316 316 4076493 318 318 318 4076463 318 318 318 4076433 318 318 318 4076403 302 301 301 4076373 20 20 20 Title: Simulation of Net Infiltration for Modern and Potential Future Climates Table VII-5. Extracted section of input file 30MSITE.INP analyzed in the EXCEL spreadsheet GEOMAP7.XLS as part of the test plan for the routine GEOMAP7. The table shows the input file format for the first 11 columns in terms of the separate input parameter sets organized by columns and also in terms of the set of different geospatial input parameters associated with specific grid cell locations and organized by rows. Grid cell sequence number Universal Transverse Mercator Easting (meters) Universal Transverse Mercator Northing (meters) Latitude (decimal degrees) Longitude (decimal degrees) Slope (deg) Aspect (deg) Elevation (meters) Soil Type Code (ID#) Soil Depth class Scott and Bonk (1984) Rock type Map ID 112500 550571 4078653 36.8543 116.4327 5 91 1159 2 4 1 112501 550601 4078653 36.8543 116.4324 4 91 1157 2 4 1 112502 550631 4078653 36.8543 116.4321 3 92 1155 2 4 1 112503 550661 4078653 36.8543 116.4317 3 97 1153 2 4 1 112504 550691 4078653 36.8543 116.4314 3 104 1152 2 4 1 112505 550721 4078653 36.8543 116.4311 2 100 1151 2 4 1 112506 550751 4078653 36.8543 116.4307 2 166 1150 2 3 1 112507 550781 4078653 36.8543 116.4304 6 303 1151 9 2 1 112508 550811 4078653 36.8543 116.43 9 309 1155 9 2 12 112509 550841 4078653 36.8543 116.4297 10 318 1159 5 1 1 112510 550871 4078653 36.8543 116.4294 10 327 1163 5 1 19 112511 550901 4078653 36.8543 116.429 9 224 1165 5 1 19 112512 550931 4078653 36.8543 116.4287 9 49 1163 5 1 17 112513 550961 4078653 36.8542 116.4284 14 88 1158 5 1 17 112514 550991 4078653 36.8542 116.428 17 100 1149 5 1 17 112515 551021 4078653 36.8542 116.4277 14 104 1140 5 1 1 112516 551051 4078653 36.8542 116.4274 10 101 1134 5 1 1 112517 551081 4078653 36.8542 116.427 8 99 1130 9 2 1 112518 551111 4078653 36.8542 116.4267 6 104 1126 9 2 1 112519 551141 4078653 36.8542 116.4263 4 115 1123 9 2 1 112520 551171 4078653 36.8542 116.426 3 124 1122 9 2 1 Title: Simulation of Net Infiltration for Modern and Potential Future Climates Table VII-6. Extracted section of the output file GEOMAP7.INP created by GEOMAP7 V1.0 and analyzed in the EXCEL spreadsheet GEOMAP7.XLS as part of the routine test plan. The grid cell locations are identical to those indicated in Table VII-5. The table indicates that only the rock type map ID number has been modified (values of 300 and greater), and that the original Scott and Bonk (1984) map type ID number has been preserved for grid cell locations were a soil depth class of 3 or less coincided with an unconsolidated rock- type from Day and others (1998). Grid cell sequence number Universal Transverse Mercator Easting (meters) Universal Transverse Mercator Northing (meters) Latitude (decimal degrees) Longitude (decimal degrees) Slope (deg) Aspect (deg) Elevation (meters) Soil Type Code (ID#) Soil Depth class Updated Rock type Map ID # using Day and others (1998) geology 112500 550571 4078653 36.8543 116.4327 5 91 1159 2 4 301 112501 550601 4078653 36.8543 116.4324 4 91 1157 2 4 301 112502 550631 4078653 36.8543 116.4321 3 92 1155 2 4 301 112503 550661 4078653 36.8543 116.4317 3 97 1153 2 4 301 112504 550691 4078653 36.8543 116.4314 3 104 1152 2 4 301 112505 550721 4078653 36.8543 116.4311 2 100 1151 2 4 301 112506 550751 4078653 36.8543 116.4307 2 166 1150 2 3 301 112507 550781 4078653 36.8543 116.4304 6 303 1151 9 2 301 112508 550811 4078653 36.8543 116.43 9 309 1155 9 2 12 112509 550841 4078653 36.8543 116.4297 10 318 1159 5 1 302 112510 550871 4078653 36.8543 116.4294 10 327 1163 5 1 315 112511 550901 4078653 36.8543 116.429 9 224 1165 5 1 315 112512 550931 4078653 36.8543 116.4287 9 49 1163 5 1 314 112513 550961 4078653 36.8542 116.4284 14 88 1158 5 1 313 112514 550991 4078653 36.8542 116.428 17 100 1149 5 1 313 112515 551021 4078653 36.8542 116.4277 14 104 1140 5 1 314 112516 551051 4078653 36.8542 116.4274 10 101 1134 5 1 1 112517 551081 4078653 36.8542 116.427 8 99 1130 9 2 1 112518 551111 4078653 36.8542 116.4267 6 104 1126 9 2 1 112519 551141 4078653 36.8542 116.4263 4 115 1123 9 2 1 112520 551171 4078653 36.8542 116.426 3 124 1122 9 2 1 Title: Simulation of Net Infiltration for Modern and Potential Future Climates • Listing of source code for routine GEOMAP7 V1.0: program geomap7 c version 1.0 c c Routine to include the updated bedrock geology c for the central block area (from Day and others, 1998) c into the geospatial parameter input file for INFIL version 2.0. c c This is the second routine in a sequence of pre-processing c routines used to develop the geospatial input files used c for the net infiltration modeling program, INFIL version 2.0. c c GEOMAP7 performs two functions: c The first function is a modification of the rock-tpye c identification number (column 11 of the input file 30MSITE.INP). c The modification is performed by adding a value of 300 to c the values of the 4th column in the input file NEWGEOL.DAT, c which correspond to the central block area bedrock geology c map from Day and others (1998). The modification is performed c by exchanging (substituting) the old rock-type numbers provided c by the Sawyer et al. (1995) and the Scott and Bonk (1984) c geology maps with the new rock-type numbers for grid cell c locations within the area of the central block geology map. c c The first function also performs a back-substitution of the c rock-type numbers c to the original rock-type numbers within the area of the c central block map. The back-substitution is performed to c utilize the Scott and Bonk (1984) geology map for c providing estimates of rock-type numbers for grid cells with c intermediate soil thickness (between 0.5 and 6 meters). c c The second function consists of a modification of c the original soil depth class parameters to identify areas where c thin soil overlies mapped alluvium and colluvium. c This provides the option to correct (increase) soil depth for these c grid locations, which would otherwise have a strong potential of c being high flux locations. c c c The input and output files are column-formatted c ASCII text files consisting of 253,597 rows (for c 253,597 grid cell locations) and 48 columns where c each column corresponds to a specific geospatial c parameter according to the following order: c c column 1: LOCID (grid location number) c column 2: X2 (UTM easting coordinate, in meters) c column 3: Y2 (UTM northing coordinate, in meters) c column 4: LAT (latitude for X coordinate, in decimal degrees) c column 5: LON (longitude for Y coordinate, in decimal degrees) c column 6: SL (ground surface slope, in degrees) c column 7: ASP (ground surface aspect, in degrees) c column 8: ELEV (ground surface elevation, in meters) c column 9: SOILTYPE (soil type identification number) c column 10: DEPTHCLASS (soil depth class identification number) c column 11: ROCKTYPE (rock type identification number) c column 12: TOPOID (topographic position identification number) c column 13: RIDGE(1) (1st blocking ridge angle) c " " c " " c column 48 RIDGE(36) (last blocking ridge angle) c Title: Simulation of Net Infiltration for Modern and Potential Future Climates c c This routine was written by c Joe Hevesi, U.S. Geological Survey, WRD c Placer Hall, 6000 J Street c Sacramento, CA, c c---------------------------------------------------------------------72 c integer n,geo1,rocktype,soiltype,depthclass,topoid integer sl,asp,elev integer iopt,x1,y1 integer geo(300000) real x3(300000),y3(300000) real lat,lon,x2,y2 integer minx,maxx,miny,maxy integer ridge(40) character*20 geoin,inpfile,newgeo character*80 header character*10,legend 5 format(A) open(unit=7,file='geomap7.ctl') read(7,5) header read(7,5) geoin read(7,5) inpfile read(7,5) newgeo read(7,*) minx,maxx read(7,*) miny,maxy c open(unit=8,file=geoin) open(unit=9,file=inpfile) open(unit=10,file=newgeo) c c c---- read in new geology map c ----------------------n = 1 150read(8,*,end=160) nx,x3(n),y3(n),geo(n) n = n + 1 goto 150 160n = n -1 write(*,*) n pause c c---- read in original INFIL version 1.0 input file c --------------------------------------------- 200read(9,*,END=900) locid,x2,y2,lat,lon, c-------- x2,y2 restrict number of times newgeol file c needs to be sampled if(x2.ge.minx.and.x2.le.maxx.and.y2.ge.miny.and.y2.le.maxy) 1 then c do i = 1,n c c---------------- scan grids for matching cell locations if(x3(i).eq.x2.and.y3(i).eq.y2) then c c c----------------Use Scott & Bonk geology if present, rather c then Day et al alluvium/colluvium. 1 sl,asp,elev,SOILTYPE,depthclass,ROCKTYPE, 2 topoid,(ridge(j), j=1,36) c c Title: Simulation of Net Infiltration for Modern and Potential Future Climates endif c c write(10,205) locid,x2,y2,lat,lon,sl,asp,elev, 1 soiltype,depthclass,rocktype,topoid,(ridge(j), j=1,36) 205 format(i7,f9.0,f10.0,f8.4,f9.4,i4,i4,i6,i3,i3,i4,i3, 1 36i3) write(*,*) locid goto 200 c 900continue close(10) stop end c If soil depth class map indicates that this c is an upland location, change soil depth class c to 2. If soil depth class map indicates thick c soils (value of 4), change to 3 if((geo(i).eq.1.or.geo(i).eq.2).and. 1 ((rocktype.ne.0).and. 2 (rocktype.ne.1).and. 3 (rocktype.ne.204))) then if(depthclass.eq.1) depthclass = 2 if(depthclass.eq.4) depthclass = 3 goto 300 endif c if(geo(i).gt.0) rocktype = geo(i) + 300 c c 300 continue endif enddo ATTACHMENT VIII ADJUSTMENT OF THE SOIL DEPTH CLASS MAP USING GEOMOD4 V1.0 TOTAL PAGES: 20 Adjustment of the Soil Depth Class Map using GEOMOD4 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: GEOMOD4 V1.0 OS and hardware environment: Windows NT 4.0, Pentium Pro PC Computer Identification: SM321276 with a USGS specific host-name P720dcasr Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for GEOMOD4 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 5.0. 3. General Description of routine/macro: GEOMOD4 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically for the analysis/model activity documented in this AMR. The routine source code (GEOMOD4.FOR), compiled executable file (GEOMOD4.EXE), routine control file (GEOMOD4.CTL), input and output files, validation test files, and a copy of this attachment, are located under the directory GEOMOD4 on a CD-ROM labeled GEOINPUT-1. The routine source code, control file, and the input and output files are ASCII text files that can be read using any standard ASCII text editor and can be imported into standard word processing applications such as Microsoft Word. The executable file can be used to run GEOMOD4 V1.0 on any PC with an INTEL processor (with adequate RAM). The parameters calculated by GEOMOD4 that are included in the developed output file, GEOMOD4.INP, are used for the development of the geospatial parameter input file for INFIL V2.0. The file GEOMOD4.INP is used directly as input to the routine SOILMAP6 V1.0 4. Test plan for the software routine GEOMOD4 V1.0: • Explain whether this is a routine or macro and describe what it does: GEOMOD4 V1.0, is the third routine applied in a sequence of FORTRAN 77 routines that are used in the development of the geospatial parameter input file for INFIL V2.0. GEOMOD4 V1.0 uses the input file GEOMAP7.INP (the output file created by GEOMAP7 V1.0) to perform a partial modification of the original soil depth class parameters used as input to INFIL V1.0 (Flint and others, 1996). In addition, GEOMOD4 V1.0 performs an adjustment of the rock-type identification numbers based on the modified soil depth class parameters. The modifications to the soil depth class parameters performed by GEOMOD4 V1.0 are required to maintain consistency with the updated bedrock geology obtained from Day and others (1998) and incorporated into the geospatial parameter input file using GEOMAP7. Two separate modifications to the soil depth class parameters are performed by GEOMOD4. To perform the first modification, the routine systematically scans the entire input grid and identifies all grid cells with unconsolidated rock-types that are adjacent to grid cells with consolidated rock-types (areas with consolidated rock-types are indicative of upland areas with thin soils). The grid cells defining the modified boundary are assigned a new soil depth class number of 5. Soil depth class 5 is used to represent a transitional soil thickness zone between thick soils defined by mapped areas of unconsolidated materials (alluvium and colluvium) and thin soils defined by mapped areas of consolidated bedrock. The original transitional soil depth class 3 was developed in ARCINFO v6.1.2 using a 30-meter buffer zone along the boundary defined by the alluvium-bedrock or colluvium-bedrock contacts. The buffer zone is thus used to define a 30-meter transitional area of intermediate soil depths between locations with thick soils identified by soil depth class 4 and locations with thin soils identified by soil depth classes 1 and 2. Soil depth class 5 is equivalent to soil depth class 3 obtained form the input file, in terms of defining an intermediate range of potential soil thickness. The second soil depth class modification is performed by identifying grid cells having soil depth class 4 (soil thickness of 6 meters and greater) and also a consolidated rock-type number. This combination indicates the possibility of an inconsistency between the soil depth class map and the updated rock-type. The soil depth class is changed to 6 for the purpose of identifying these locations as a part of the intermediate soil thickness zone. Depth class 6 is equivalent to depth classes 5 and 3 in terms of the procedure used for estimating soil thickness in the routine SOILMAP6 (see Attachment IX). The purpose of using three different soil depth class numbers (3, 5, and 6) for representing an equivalent intermediate soil depth classes is to identify the method used to estimate the depth class. This information is used as part of the test plan. The second function performed by GEOMOD4 V1.0 is a modification of rock-type parameters for grid cells having an intermediate or thin soil depth class number. This modification is required to prevent the inconsistency of having locations with thin or intermediate soil thickness assigned an unconsolidated rock-type. The routine identifies grid cells having this inconsistency and a consolidated rock-type is estimated by scanning the eight adjacent grid cell locations and identifying the most prevalent consolidated rock-type map number (or the first consolidated rock-type encountered, if there is no prevalent consolidated rock-type). If all adjacent grid cells are associated with unconsolidated rock- types, the inconsistency is corrected by changing the soil depth class to 4 (for thick soils) and the existing unconsolidated rock-type number is not modified. • Listing of FORTRAN77 Source code: A listing of the FORTRAN77 source code for the routine GEOMAP7 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: A validation test of the functions performed by the routine was conducted by a visual comparison between the input files (GEOMAP7.INP) and the output file (GEOMOD4.INP). The test criteria for the functions performed by GEOMOD4 consists of visual verification that the soil depth class parameters have been correctly modified and that the rock-type identification numbers for grid cells assigned to soil depth class 5 have been correctly estimated based on adjacent grid cells. The test plan consists of a 3-step testing procedure using a combination of a visual inspection of map images and a visual inspection of parameter values in the input and output ASCII test files. The comparison of input and output grid cell values and the generation of map images was facilitated using the raster-based grid and map-imaging applications available in the acquired software program TRANSFORM. The raster-based grid and map-imaging utilities allow for an analysis of the entire raster grid and also a detailed evaluation of grid cell values for specified grid locations. Additional validation tests were also performed by extracting and comparing identical subsets (in terms of grid cell locations) from the raster images created in TRANSFORM and by visually inspecting identical subsets (based on grid cell locations) of the input file GEOMAP7.INP and the output file GEOMOD4.INP. This method of testing allowed for quantitative manual checking of the specific operations performed by GEOMOD4 based on the values of the input and output parameters. The criteria applied in this method of validation consisted of a visual verification that the intended modifications of the geospatial input file had been correctly performed. A final test that the routine had functioned correctly was performed by a comparison of the input and output files to verify that no unintended modifications had occurred during program execution. • Specify the range of input values to be used and why the range is valid: GEOMAP7.INP is the main input file used by GEOMOD4 V1.0. The file is specified in the file GEOMOD4.CTL, which is the routine control file for GEOMOD4 and is required for program execution. GEOMAP7.INP is a column-formatted ASCII file consisting of 253,597 rows and 48 columns (see Attachment VII). Two parameters provided by GEOMAP7.INP are used by GEOMOD4: the soil depth class number (column 10) and the rock-type number (column 11). The input values for soil depth class are integers from 1 to 4 and the input values for rock-type are integers from 1 to 345. This input range is valid because the values were obtained from ARCINFO using the source data as input (see Attachment VI for description of source data used for 30MSITE.INP) and a sequence of applied software routines described in Attachments VI through VII of this AMR. 5. Test Results. • Output from test: The output for the test case is the main output file GEOMOD4.INP generated by GEOMOD4 V1.0. The output file is used to generate raster-format map image files in TRANSFORM which are used only as a part of the validation test plan (the map image files are not required as part of the pre-processing procedure for developing the input used by INFIL V2.0). • Description of how the testing shows that the results are correct for the specified input: The map images (Figures VIII-1 and VIII-2) developed using TRANSFORM indicate by visual inspection that the integer values defining the updated soil depth class parameter have been correctly modified and incorporated into the output file GEOMOD4.INP that is created by GEOMOD4. Figure VIII-1 indicates the original soil depth class parameters consisting of integer values of 1 to 4 provided by column 10 of the input file GEOMAP7.INP. Figure VIII2 indicates the modified soil depth class parameters consisting of integer values of 1 to 6 obtained from the output file GEOMOD4.INP. Visual comparison of the two figures indicates that the intended modification of the soil depth class parameters has been correctly performed. Tables VIII-1 through VIII-4 indicate the subset of grid cell locations (a rectangular area in the upper part of Solitario Canyon) and corresponding input and output parameter values that were used to visually check that the functions performed by the routine had been executed correctly (the intended modifications to the parameters had occurred). Table VIII-1 indicates the integer values of 1 to 4 for soil depth class obtained from column 10 of the input file, and Table VIII-2 indicates integer values of 17 to 325 for rock-type obtained from column 11 of the input file. Inspection of Tables VIII-3 and VIII-4 indicates that the correct modifications were performed to the soil depth class and the rock-type parameters based on the combination of the input soil depth class and rock-type values. For example, the grid cell located at 547241 easting and 4079703 northing has an input soil depth class of 3 and a rock- type of 301. Rock-type values of 301 and 302 indicate unconsolidated material based on the Day and others (1998) updated geology for the central block area, and thus there is an inconsistency between the intermediate soil depth class and the rock-type for this grid cell. Table VIII-3 indicates that GEOMOD4 has correctly changed the soil depth class to 5, and Table VIII-4 indicates that GEOMOD4 has correctly estimated the underlying rock-type to be 19 based on the value for the adjacent grid cell. This comparison between the input and output verifies that the first soil depth class modification and the rock-type estimation function are being properly executed by the routine. For the grid cell located at 547391 easting and 4079253 northing, the input soil depth class is 4 representing locations with thick soils of 6 meters and greater and the input rock-type is 321 which is consolidated bedrock and thus indicates an upland location that should be associated with thin to intermediate soil thickness. Table VIII-3 indicates that GEOMOD4 has correctly identified the inconsistency and has modified the soil depth class to 6 which is equivalent to depth class 3 and 5 in terms of estimating soil thickness. Table VIII-4 indicates that no modifications were made to the rock-type for this location. This comparison between the input and output verifies that the second soil depth class modification is being properly executed by the routine. Comparison of the input and output files indicates that no unintended modifications occurred during program execution (see printouts for input and output files under section 6). Both the input and output files consist of 253,597 rows and 48 columns, and the order and format of the rows and columns has not been modified. With the exception of the intended modifications made to the soil depth and rock-type parameters, the input and output files were found to be equivalent. • List limitations or assumptions to this test case and code in general: The limitations of the developed test case are based on the practical limitations of verifying modified parameter values for all 253, 597 grid cells included in the output file used for the developed test case. Validation of the entire output file used in the test case was performed as a visual evaluation of raster-based map images produced in TRANSFORM. Only a representative subset of the entire output file could be used for a more detailed and quantitative testing of the specific functions performed by the routine. • Electronic files identified by name and location: Electronic files are located on CD-ROM labeled GEOINPUT-1, under the directory GEOMOD4, included as an attachment to the AMR. The following electronic files GEOMOD4.FOR: FORTRAN source code listing for the routine GEOMOD4 V1.0. A printout of the source code is included as part of this attachment. GEOMOD4.EXE: Executable file for the routine GEOMOD4 V1.0, compiled for INTEL processors. GEOMAP7.INP: Input file consisting of a column-formatted, ASCII text file with 253,597 rows and 48 column. This file was developed as the output file from GEOMAP7 version (see Attachment VII). A partial print-out of the first part of this file is included as part of this attachment. are provided: GEOMOD4.CTL: Input file consisting of the input and output file names for GEOMOD4. GEOMOD4.INP: Output file consisting of a column-formatted, ASCII text file with 48 columns and 253,597 rows. Each row corresponds to a grid cell location for the geospatial parameter base grid (the UTM location coordinates are defined by columns 2 and 3). Columns 10 (soil depth class) and 11 (rock-type number) of this file contain the parameters modified by GEOMOD4 V1.0. A partial printout of the first part of this file is included as part of this attachment. GEOMAP7B.HDF: TRANSFORM raster-based map image (Figure VIII-1) of the soil depth class parameters obtained from column 10 of the input file GEOMAP7.INP. The file is used to perform the software routine validation test and is provided as supporting information. This file is not a part of the routine application. GEOMOD4A.HDF: TRANSFORM raster-based map image (Figure VIII-2) of the modified soil depth class parameters obtained from column 10 of the output file GEOMOD4.INP. The file is used to perform the software routine validation test and is provided as supporting information. This file is not a part of the routine application. 6. Supporting Information. (Include background information, such as revision to a previous routine or macro, or explanation of the steps performed to run the software. Include listings of all electronic files and codes used). • Procedure for running routine: To run the routine GEOMOD4 V1.0, the executable file (GEOMOD4.EXE), the routine control file (GEOMOD4.CTL), and the input file specified in the routine control file (GEOMAP7.INP) must be placed in the same directory. The routine is executed by typing GEOMOD4 in a DOS window or by double clicking on the file GEOMOD4.EXE in the Microsoft Windows operating system, or by typing in the path and filename in the RUN window of the Windows NT or Windows 98 start menu. The input and output file names must be in the correct sequential order as specified in the routine control file (see example listing below). • Example listing of routine control file GEOMOD4.CTL geomod4.ctl (header line) geomap7.inp (input file from routine GEOMAP7 version 1.0) geomod4.inp (output file generated by GEOMOD4.ctl) • Example listing of GEOMAP7.INP. This is the output file generated by GEOMAP7 V1.0 and supplied as input to the routine GEOMOD4 V1.0 (only the first 20 lines of the file are listed). 1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 0 0 0 0 0 0 0 0 12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 0 0 0 0 0 0 0 0 13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 0 0 0 0 0 0 0 0 14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 0 0 0 0 0 0 0 0 15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 0 0 0 0 0 0 0 0 16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 • Example listing of GEOMOD4.INP. This is the output file generated by GEOMOD4 V1.0 and supplied as input to the routine SOILMAP6 V1.0 (only the first 20 lines of the file are listed). 1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 0 0 0 0 0 0 0 0 12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 0 0 0 0 0 0 0 0 13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 0 0 0 0 0 0 0 0 14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 0 0 0 0 0 0 0 0 15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 0 0 0 0 0 0 0 0 16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 • Figures used as part of the routine test plan: UTM northing (meters) 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 548667 551333 554000 UTM easting (meters) 1.0 1.5 2.0 2.5 3.0 3.5 Geomap7_inp_10: soil depth class Figure VIII-1. TRANSFORM map image (file GEOMAP7B.HDF) of soil depth class obtained from column 10 of the input file GEOMAP7.INP. UTM northing (meters) 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 548667 551333 554000 UTM easting (meters) 123456 geomod4_inp_10: soil depth class Figure VIII-2. TRANSFORM map image (file GEOMOD4A.HDF) of modified soil depth class parameters obtained from column 10 of the output file GEOMOD4.INP generated by GEOMOD4 V1.0 showing integer values ranging from 1 to 6. • Tables used as part of the routine test plan: Table VIII-1. Soil depth classes obtained from column 10 of the input file GEOMAP7.INP, showing integer values ranging from 1 to 4 for a subset of grid cells located in upper Solitario Canyon. UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547211 547241 547271 547301 547331 547361 547391 547421 4079703 1 3 4 4 3 2 1 1 4079673 2 1 3 4 3 2 1 1 4079643 1 2 3 3 3 2 1 1 4079613 1 1 2 3 3 1 1 1 4079583 1 1 2 3 3 1 1 1 4079553 1 1 2 3 3 1 1 1 4079523 1 1 3 4 3 1 1 1 4079493 1 1 3 3 1 1 1 1 4079463 1 1 3 3 1 1 1 1 4079433 1 3 4 3 1 1 1 1 4079403 1 3 4 3 1 1 1 1 4079373 3 3 4 3 1 1 1 1 4079343 3 4 4 3 1 1 3 3 4079313 4 4 4 4 3 3 3 3 4079283 4 4 4 4 4 4 3 1 4079253 4 4 4 4 4 4 4 3 4079223 4 4 4 4 4 3 3 3 4079193 4 4 4 4 3 1 1 1 4079163 4 4 4 4 3 1 1 1 4079133 4 4 3 3 1 1 1 1 4079103 4 4 3 1 1 1 1 1 4079073 4 4 3 3 1 1 1 1 4079043 4 4 3 3 1 1 1 1 4079013 4 3 1 1 1 1 1 1 4078983 4 3 1 1 1 1 1 1 4078953 3 3 1 1 1 1 1 1 4078923 3 1 2 1 1 1 1 1 4078893 3 1 1 1 1 1 1 1 4078863 3 3 2 1 1 1 1 1 4078833 3 1 2 1 1 1 1 1 4078803 3 1 2 2 1 1 1 1 4078773 3 3 2 2 1 1 1 1 4078743 3 1 2 1 1 1 1 1 Table VIII-2. Rock-type numbers obtained from column 11 of the input file GEOMAP7.INP, showing integer values ranging from 1 to 345 for a subset of grid cells located in upper Solitario Canyon. UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547211 547241 547271 547301 547331 547361 547391 547421 4079703 301 301 301 301 301 31 320 319 4079673 19 301 301 301 301 31 320 319 4079643 314 19 301 301 301 31 320 319 4079613 314 314 18 301 301 321 320 320 4079583 314 314 17 301 301 321 320 320 4079553 314 314 17 301 313 321 321 320 4079523 314 314 17 301 313 321 320 320 4079493 314 314 17 301 313 321 320 320 4079463 314 314 301 313 313 321 320 320 4079433 314 17 301 313 320 321 320 320 4079403 314 17 301 313 320 321 320 320 4079373 17 17 301 313 320 321 320 320 4079343 17 301 301 313 320 321 321 320 4079313 301 301 301 313 320 321 321 320 4079283 301 301 301 313 320 321 321 320 4079253 301 301 301 313 320 321 321 324 4079223 301 301 301 313 320 321 321 324 4079193 301 301 301 313 320 321 321 324 4079163 301 301 301 313 319 321 321 324 4079133 301 301 301 313 314 319 321 324 4079103 301 301 301 313 314 319 319 324 4079073 301 301 313 313 314 319 319 324 4079043 301 301 313 313 314 319 319 324 4079013 301 301 313 313 314 319 319 325 4078983 301 301 313 313 314 314 319 325 4078953 301 301 313 314 314 313 323 325 4078923 301 301 16 314 313 311 323 325 4078893 301 302 313 314 314 313 325 325 4078863 301 302 30 314 314 314 325 324 4078833 301 302 30 314 314 314 325 324 4078803 301 302 30 28 315 315 325 324 4078773 302 302 30 28 315 319 325 324 4078743 302 302 30 314 314 319 325 324 Table VIII-3. Soil depth classes obtained from column 10 of the output file GEOMOD4.INP, showing integer values ranging from 1 to 6 for a subset of grid cells located in upper Solitario Canyon. UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547211 547241 547271 547301 547331 547361 547391 547421 4079703 5 5 4 4 5 2 1 1 4079673 2 5 5 4 5 2 1 1 4079643 1 2 5 5 5 2 1 1 4079613 1 1 2 5 5 1 1 1 4079583 1 1 2 5 5 1 1 1 4079553 1 1 2 5 3 1 1 1 4079523 1 1 3 5 3 1 1 1 4079493 1 1 3 5 1 1 1 1 4079463 1 1 5 3 1 1 1 1 4079433 1 3 5 3 1 1 1 1 4079403 1 3 5 3 1 1 1 1 4079373 3 3 5 3 1 1 1 1 4079343 3 5 5 3 1 1 3 3 4079313 5 5 5 6 3 3 3 3 4079283 5 4 5 6 6 6 3 1 4079253 4 4 5 6 6 6 6 3 4079223 4 4 5 6 6 3 3 3 4079193 4 4 5 6 3 1 1 1 4079163 4 4 5 6 3 1 1 1 4079133 4 4 5 3 1 1 1 1 4079103 4 5 5 1 1 1 1 1 4079073 4 5 3 3 1 1 1 1 4079043 4 5 3 3 1 1 1 1 4079013 4 5 1 1 1 1 1 1 4078983 4 5 1 1 1 1 1 1 4078953 4 5 1 1 1 1 1 1 4078923 4 5 2 1 1 1 1 1 4078893 4 5 1 1 1 1 1 1 4078863 4 5 2 1 1 1 1 1 4078833 4 5 2 1 1 1 1 1 4078803 4 5 2 2 1 1 1 1 4078773 4 5 2 2 1 1 1 1 4078743 5 5 2 1 1 1 1 1 Table VIII-4. Rock-type numbers obtained from column 11 of the output file GEOMOD4.INP, showing integer values ranging from 1 to 345 for a subset of grid cells located in upper Solitario Canyon. UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547211 547241 547271 547301 547331 547361 547391 547421 4079703 319 19 301 301 30 31 320 319 4079673 19 19 19 301 31 31 320 319 4079643 314 19 19 18 31 31 320 319 4079613 314 314 18 18 31 321 320 320 4079583 314 314 17 18 321 321 320 320 4079553 314 314 17 17 313 321 321 320 4079523 314 314 17 17 313 321 320 320 4079493 314 314 17 17 313 321 320 320 4079463 314 314 314 313 313 321 320 320 4079433 314 17 314 313 320 321 320 320 4079403 314 17 17 313 320 321 320 320 4079373 17 17 17 313 320 321 320 320 4079343 17 17 17 313 320 321 321 320 4079313 314 17 313 313 320 321 321 320 4079283 17 301 313 313 320 321 321 320 4079253 301 301 313 313 320 321 321 324 4079223 301 301 313 313 320 321 321 324 4079193 301 301 313 313 320 321 321 324 4079163 301 301 313 313 319 321 321 324 4079133 301 301 313 313 314 319 321 324 4079103 301 313 313 313 314 319 319 324 4079073 301 313 313 313 314 319 319 324 4079043 301 313 313 313 314 319 319 324 4079013 301 313 313 313 314 319 319 325 4078983 301 313 313 313 314 314 319 325 4078953 301 313 313 314 314 313 323 325 4078923 301 313 16 314 313 311 323 325 4078893 301 16 313 314 314 313 325 325 4078863 301 313 30 314 314 314 325 324 4078833 301 30 30 314 314 314 325 324 4078803 301 30 30 28 315 315 325 324 4078773 302 30 30 28 315 319 325 324 4078743 30 30 30 314 314 319 325 324 • Listing of source code for routine GEOMOD4 V1.0: program geomod4 c version 1.0 c c subroutine to modify soil depth buffer zone based on c the updated geology (output from geomap7) c c This is the third routine in a sequence of pre-processing c routines used to develop the geospatial input files used c for the net infiltration modeling program, INFIL version 2.0. c c GEOMOD4 performs two functions: c The first function is a modification of the soil depth c class parameters (column 10 of the input file GEOMAP7.INP). c The modification of soil depth class is performed to c create a consistency between soil thickness and the c updated geology map from Day and others (1998), c and consists of two steps: c The first step is an adjustment of the intermediate soil depth c class representing the transitional zone between the thin soils c of rugged upland areas and the thick soils of basin-fill areas. c The second step is a flagging of grid cells with thick soils and c a consolidated rock-type number. c c The second function is a modification of the rock-type number c for all grid cells within the updated intermediate soil c depth class having an unconsolidated rock-type. The function c consists of estimating the rock-type based on a scanning of c of the adjacent grid cells and selecting the most prevalent c rock-type (or the first rock-type if there is c no prevalent rock-type). c c The input and output files are column-formatted c ASCII text files consisting of 253,597 rows (for c 253,597 grid cell locations) and 48 columns where c each column corresponds to a specific geospatial c parameter according to the following order: c c column 1: LOCID (grid location number) c column 2: X (UTM easting coordinate, in meters) c column 3: Y (UTM northing coordinate, in meters) c column 4: LAT (latitude for X coordinate, in decimal degrees) c column 5: LONG (longitude for Y coordinate, in decimal degrees) c column 6: SLOPE (ground surface slope, in degrees) c column 7: ASPECT (ground surface aspect, in degrees) c column 8: ELEV (ground surface elevation, in meters) c column 9: SOILTYPE (soil type identification number) c column 10: DEPTHCLASS (soil depth class identification number) c column 11: ROCK (rock type identification number) c column 12: TOPOID (topographic position identification number) c column 13: RIDGE(1) (1st blocking ridge angle) c" " c" " c column 48 RIDGE(36) (last blocking ridge angle) c c c This routine was written by c Joe Hevesi, U.S. Geological Survey, WRD c Placer Hall, 6000 J Street c Sacramento, CA, c c---------------------------------------------------------------------72 c integer n,geo1,rocktype,rown,coln,geo2 integer soiltype(-1:300000),depthclass(-1:300000), 1 topoid(-1:300000),locid(-1:300000) c integer row(-1:300000),col(-1:300000) integer slope(-1:300000),aspect(-1:300000),elev(-1:300000) integer ridge(-1:300000,36) integer iopt integer geo(-1:1000,-1:1000),newgeo(-1:300000) integer ntemp(30),geotemp(30) c double precision x(-1:300000),y(-1:300000) real lat(-1:300000),long(-1:300000) real x1,y1,x2,y2,yold integer minrow,maxrow,mincol,maxcol c character*20 inpfile,geonew character*80 header character*10,legend 5 format(A) open(unit=7,file='geomod4.ctl') read(7,5) header read(7,5) inpfile read(7,5) geonew c open(unit=8,file=inpfile) open(unit=9,file=geonew) c c maxrow = -9999 maxcol = -9999 minrow = 9999 mincol = 9999 c n = 1 coln = 0 rown = 0 yold = 0. col(n) = coln row(n) = rown coln = coln + 1 yold = y(n) geo(row(n),col(n)) = rocktype n = n + 1 c 100 read(8,*,END=150) locid(n),x(n),y(n),lat(n),long(n), 1 slope(n),aspect(n),elev(n),soiltype(n),depthclass(n), 2 rocktype,topoid(n),(ridge(n,j), j=1,36) c if(y(n).ne.yold) then rown = rown + 1 coln = 1 write(*,*) n,row(n),col(n) endif if(maxrow.lt.rown) maxrow = rown if(minrow.gt.rown) minrow = rown if(maxcol.lt.coln) maxcol = coln if(mincol.gt.coln) mincol = coln c goto 100 150 n = n - 1 write(*,*) n, row(n), col(n) pause c do 300 i = 1,n c geo1 = geo(row(i),col(i)) newgeo(i) = geo1 c c------- if cell is in alluvium/colluvium, then check c geology of surrounding cells if((geo1.eq.0).or. 2 (geo1.eq.1).or. 3 (geo1.eq.204).or. 4 (geo1.eq.301).or. 5 (geo1.eq.302)) then do ii = 1,8 ntemp(ii) = 0 geotemp(ii) = -1 enddo c ntemp2 = 0 geotemp2 = -99 nn = 0 c c---------- tag all bedrock geology within 1st layer c of cells surrounding primary cell (geotemp) c keep track of which geo type has the most c cells (ntemp) c do 500 ir = -1,1 do 500 ic = -1,1 if(ir.eq.0.and.ic.eq.0) goto 500 row2 = row(i) + ir col2 = col(i) + ic geo2 = geo(row2,col2) if((geo2.ne.0).and. 1 (geo2.ne.1).and. 2 (geo2.ne.204).and. 3 (geo2.ne.301).and. 4 (geo2.ne.302)) then nn = nn + 1 geotemp(nn) = geo2 ntemp(nn) = ntemp(nn) + 1 endif 500 continue do ii = 1,8 if(ntemp(ii).gt.ntemp2) then ntemp2 = ntemp(ii) geotemp2 = geotemp(ii) endif enddo if(geotemp2.ne.-99) then newgeo(i) = geotemp2 depthclass(i) = 5 write(*,*) i, newgeo(i) endif endif c if((depthclass(i).eq.4).and. if((newgeo(i).eq.0).or. 1 (newgeo(i).eq.1).or. 2 (newgeo(i).eq.204).or. 3 (newgeo(i).eq.301).or. 4 (newgeo(i).eq.302)) then depthclass(i) = 4 endif c write(9,205) locid(i),x(i),y(i),lat(i),long(i), 1 slope(i),aspect(i),elev(i),soiltype(i),depthclass(i), 2 newgeo(i),topoid(i),(ridge(i,j), j=1,36) 205 format(i7,f9.0,f10.0,f8.4,f9.4,i4,i4,i6,i3,i3,i4,i3, 1 36i3) c 300 continue c close(9) stop end 1 ((newgeo(i).ne.0).and. 2 (newgeo(i).ne.1).and. 3 (newgeo(i).ne.204).and. 4 (newgeo(i).ne.301).and. 5 (newgeo(i).ne.302))) then depthclass(i) = 6 endif c ATTACHMENT IX ESTIMATION OF SOIL DEPTH USING SOILMAP6 V1.0 TOTAL PAGES: 25 Estimation of Soil Depth using SOILMAP6 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: SOILMAP6 V1.0, OS and hardware environment: Windows NT 4.0, Pentium Pro PC Computer Identification: SM321276 with a USGS specific host-name P720dcasr Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for SOILMAP6 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 5.0. 3. General Description of routine/macro: SOILMAP6 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically for the analysis/model activity documented in this AMR. The routine source code (SOILMAP6.FOR), compiled executable file (SOILMAP6.EXE), routine control file (SOILMAP6.CTL), input and output files, validation test files, and a copy of this attachment, are located under the directory SOILMAP6 on a CD-ROM labeled GEOINPUT-1. The routine source code, control file, and the input and output files are ASCII text files that can be read using any standard ASCII text editor and can be imported into standard word processing or spreadsheet applications such as Microsoft WORD and EXCEL. The executable file can be used to run SOILMAP6 V1.0 on any PC with an INTEL processor (with adequate RAM). All input parameters used by SOILMAP6 V1.0 and the parameters calculated by SOILMAP6 that are included in the developed output file, SOILMAP6.INP, are used for the development of the geospatial parameter input file for INFIL V2.0. The file SOILMAP6 is used directly as input to the routine SORTGRD1 V1.0 4. Test plan for the software routine SOILMAP6 V1.0: • Explain whether this is a routine or macro and describe what it does: SOILMAP6 V1.0 is the fourth routine applied in a sequence of FORTRAN 77 routines that are used in the development of the geospatial parameter input file for INFIL V2.0. Modifications to the geospatial parameter input file performed by SOILMAP6 involve an application of empirical, linear scaling functions to estimate an absolute soil thickness (in meters) for each grid cell location using the up-dated soil depth class and ground surface slope parameters obtained from the file 30msite.inp1. The linear scaling functions are based on an assumed correlation between calculated ground surface slope and soil thickness within each depth class. The assumed correlation is qualitatively supported by subjective field observations indicating a general decrease in soil thickness with an increase in ground surface slope. The soil thickness function for depth class 1 is based on an assumption that soils tend to be relatively thin at summit and ridge-crest locations and are the thinnest for steep side slope locations. Thicker soils are assumed to occur at the relatively gently sloping shoulder areas that define the transition between summit or ridge-crest areas and steep sideslope areas. Thicker soils are also assumed to occur for more gently sloping foot-slope locations. Using these assumptions, the linear scaling function used to estimate soil depth for model grid cells assigned a soil-depth class number of 1 (designated for rugged upland areas with thin soils) is where D = soil depth (in meters), and S = slope (degrees). The soil thickness function for depth class 2, which is defined on the basis of mapped zones of greater soil thickness within upland areas generally associated with soil depth class 1, assumes a simpler correlation between slope and soil thickness. For grid locations associated with soil depth class 2, absolute soil thickness is estimated using: D = 2 – (0.05 * S), S < 32 D = 0.4, S ‡ 32 A single soil thickness function is used for depth classes 3, 5, and 6. The function is also based on the assumption of a simple linear correlation between slope and soil thickness. For grid locations associated with soil depth classes 3, 5, and 6, absolute soil thickness is estimated by: D = 6 - (0.16 * S), S £ 25 D = 2.0 S > 25 For depth class 4, soil depth is set to a uniform depth of 6 meters. Prior to calculating the soil depth estimates, SOILMAP6 V1.0 uses the input file GEOMOD4.INP (the output file created by GEOMOD4 V1.0) to perform a final adjustment of the original soil depth class parameters. The modifications to the soil depth class parameters performed by SOILMAP6 are based on a comparison between the updated soil depth classes and the updated rock-type parameters. The comparison provides a final consistency check to ensure that no grid cell locations have a combination of a soil depth class indicating thin soils 1 Ground surface slope is calculated using ARCINFO which provides a standardized approximation of the true ground surface slope using the raster-based grid format of the digital elevation model used as source data and a five-point calculation of the average slope. defined by: D = 0.03 * S + 0.1, S £ 10 D = 0.013 * (10 - S) + 0.4, 10 < S < 40 D = 0.01, S ‡ 40 (associated with rugged upland areas) and a rock-type indicating unconsolidated material (associated with basin-fill areas). • Listing of FORTRAN77 Source code: A listing of the FORTRAN77 source code for the routine SOILMAP6 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: A validation test of the functions performed by the routine was conducted by a visual comparison between the input file GEOMOD4.INP and the output file SOILMAP6.INP. The visual analysis was facilitated by raster-based map images created using the acquired software program TRANSFORM. The raster-based grid and map-imaging utilities allow for an analysis of the entire raster grid and also a detailed evaluation of grid cell values for specified grid locations. The test criteria for the functions performed by SOILMAP6 consist of visual verification that the soil depth class parameters have been correctly modified and that the calculations of soil depth estimates have been correctly performed. The test plan consists of a 3-step testing procedure. The first step requires a visual inspection of the TRANSFORM map images. The second step requires a check of the calculations performed by the routine using a comparison of manual calculations against a selected subset of the input and output files. The third step requires a check of the input and output files to ensure that the output file format is correct and that no modifications other than those intended by the routine application have occurred. The second step of the test plan was facilitated by extracting identical subsets (in terms of grid cell locations) of the input and output files using the raster-based files created by TRANSFORM. The subsets are in the format of ASCII text matrices and are used to check the estimated soil thickness values in the output file against a manual calculation. The criteria applied in the third step of the test plan consists of visually inspecting the input and output files and verifying that the intended modification of the geospatial input file had been correctly performed, and that no unintended modifications had occurred during program execution. SOILMAP6 V1.0 performs an internal testing of the modified soil depth class parameters by flagging the soil depth class parameter for a given grid cell location with a negative sign if an inconsistency is still identified after the final modification of the soil depth class parameters. If no negative values occur in the output file then the internal validation test performed by the routine is satisfied. • Specify the range of input values to be used and why the range is valid: GEOMOD4.INP is the main input file used by SOILMAP6 V1.0. The file is specified in the file SOILMAP6.CTL, which is the routine control file for SOILMAP6 and is required for program execution. GEOMOD4.INP is a column-formatted ASCII file consisting of 253,597 rows and 48 columns (see Attachment VIII). Three parameters provided by GEOMOD4.INP are used by SOILMAP6: the soil depth class number (column 10), the rock-type number (column 11), and the ground surface slope (column 6). The input values for soil depth class are integers from 1 to 6, the input values for rock-type are integers from 1 to 345, and the input values for slope are integers from 0 to 47. This input range is valid because the values were obtained from ARCINFO using the source data as input (see Attachment VII for description of source data used for 30MSITE.INP) and a sequence of applied software routines described in Attachments VII through VIII of this AMR. 5. Test Results. • Output from test: The output for the test case is the main output file SOILMAP6.INP generated by SOILMAP6 V1.0. The output file is used to generate raster-format map image files in TRANSFORM which are used only as a part of the validation test plan (the map image files are not required as part of the pre-processing procedure for developing the input used by INFIL V2.0). • Description of how the testing shows that the results are correct for the specified input: The map images developed using TRANSFORM (Figures IX-1 through IX-5) indicate by visual inspection that the routine SOILMAP6 V1.0 is functioning correctly for all grid cell locations within the modeling domain. Comparison of Figures IX-1 and IX-2 indicates that the re-defined soil depth classes are consistent with calculated ground surface slope. Figure IX-2 indicates the finalized soil depth class parameters consisting of integer values of 1 to 6. The figure indicates that no modifications were performed by SOILMAP6 to the soil depth class parameters. Negative soil depth class numbers do not occur in the output from SOILMAP6 and therefore inconsistencies in the soil depth class parameters were not found in the output file created by GEOMOD4. Comparison of Figures IX-2 and IX-3 indicates that the soil depth classes were correctly applied by the routine in the calculation of soil thickness estimates on the scale of the modeling domain. Thick soils of 6 meters and greater match the area of soil depth class 4, and thin soils of 0.5 meters and less match the area of depth class 1. Figure IX-4 indicates that the calculation of soil thickness estimates for soil depth class 1 was performed correctly and provides reasonable estimates of soil thickness for upland areas. Locations with minimum soil thickness estimates (< 0.1 meters) coincide with locations having high slope values (> 30 degrees). Locations with relatively high soil thickness estimates (> 0.35 meters) for depth class 1 coincide with low and intermediate slope values (< 20 degrees). Figure IX-5 indicates the expected result for soil thickness estimates in the intermediate depth classes (2, 3, 5, and 6). The soil thickness estimates range from approximately 0.5 to < 6.0 meters and occur for locations representing the transition between thin upland soils and thick basin-fill soils and areas mapped as having intermediate soil thickness within upland areas. Tables IX-1 and IX-2 indicate the values of input parameters obtained from GEOMOD4.INP (Table IX-1 shows the soil depth class number and Table IX-2 shows the rock-type number) for a subset of grid cells located in upper Solitario Canyon that are extracted from the input file. The input data is used by SOILMAP6 to perform a final consistency check of the modified soil depth class parameters relative to the updated rock-type parameters. Table IX3 indicates that the finalized soil depth class parameters included in the output file SOILMAP6.INP are identical to the soil depth class parameters in the input file GEOMDO4.INP (no modifications were performed by the routine). Table IX-4 indicates the values of calculated ground surface slope obtained from the input file that are used in calculating soil thickness estimates. Table IX-5 shows the values of soil thickness estimates obtained from the output file. A manual check of the soil thickness estimates indicates that the routine is functioning correctly. For example, for the grid cell located at 547421 easting and 4079643 northing, a manual check of the equation used for soil depth class 1 and a slope value of 22 indicates a value of 0.24 meters for estimated soil thickness, and this agrees with the value obtained from the output file. For the grid cell located at 547211 easting and 4079673 northing, a manual check of the equation used for soil depth class 2 and a slope value of 15 indicates a value of 1.25 meters for estimated soil thickness, which agrees with the output. Visual inspection of the input and output files (see partial listing of files GEOMOD4.INP and SOILMAP6.INP provided under supporting information) indicates that the soil thickness estimates were correctly included as column 11 in the output file and that no unintended modifications of the input parameters and input file format occurred. The output file has the correct number of lines (253,597), the correct number of columns (49), and the position of the columns and rows is correct. • List limitations or assumptions to this test case and code in general: The limitations of the developed test case are based on the practical limitations of verifying modified parameter values for all 253, 597 grid cells included in the output file used for the developed test case. Validation of the entire output file used in the test case was performed as a visual evaluation of raster-based map images produced in TRANSFORM. Only a subset of the entire output file could be used for more detailed validation tests that included a manual check of the equations used by the routine. • Electronic files identified by name and location: Electronic files are located on CD-ROM labeled GEOINPUT-1, under the directory SOILMAP6, included as an attachment to the AMR. The following electronic files are provided: SOILMAP6.CTL: Input file consisting of the input and output file names for SOILMAP6 V1.0. SOILMAP6.FOR: FORTRAN source code listing for the routine SOILMAP6 V1.0. A printout of the source code is included as part of this attachment. SOILMAP6.EXE: Executable file for the routine SOILMAP6 V1.0, compiled for INTEL GEOMOD4.INP: processors. Input file consisting of a column-formatted, ASCII text file with 253,597 rows and 48 column. This file was developed as the output file from GEOMOD4 version (see Attachment VIII). A partial printout of the first part of this file is included as part of this attachment. SOILMAP6.INP: Output file consisting of a column-formatted, ASCII text file with 49 columns and 253,597 rows. Estimates of soil depth, in meters, are added as a new column between columns 10 and 11 (rock-type number) of the input file column order. Each row corresponds to a grid cell location for the geospatial parameter base grid (the UTM location coordinates are defined by columns 2 and 3). Columns 10 (soil depth class) and 11 (estimated soil depth in meters) of this file contain the parameters modified by SOILMAP6 V1.0. A partial printout of the first part of this file is included as part of this attachment. 30MSLOPE.HDF: TRANSFORM raster-based map image (Figure IX-1) of calculated ground surface slope obtained from column 6 of the input file GEOMOD4.INP. The file is used to perform the software routine validation test and is provided as supporting information. This file is not a part of the routine application SOILM6DC.HDF: TRANSFORM raster-based map image (Figure IX-2) of the soil depth class parameters obtained from column 10 of the output file SOILMAP6.INP. The file is used to perform the software routine validation test and is provided as supporting information. This file is not a part of the routine application. SOILMP61.HDF: TRANSFORM raster-based map image (Figure IX-3) of the soil thickness estimates obtained from column 11 of the output file SOILMAP6.INP. The file is used to perform the software routine validation test and is provided as supporting information. This file is not a part of the routine application. SOILMP62.HDF: TRANSFORM raster-based map image (Figure IX-4) of the soil thickness estimates obtained from column 11 of the output file SOILMAP6.INP. The file is used to perform the software routine validation test and is provided as supporting information. This file is not a part of the routine application. SOILMP63.HDF: TRANSFORM raster-based map image (Figure IX-5) of the soil thickness estimates obtained from column 11 of the output file SOILMAP6.INP. The file is used to perform the software routine validation test and is provided as supporting information. This file is not a part of the routine application. 6. Supporting Information. (Include background information, such as revision to a previous routine or macro, or explanation of the steps performed to run the software. Include listings of all electronic files and codes used). • Procedure for running routine: To run the routine SOILMAP6 V1.0, the executable file (SOILMAP6.EXE), the routine control file (SOILMAP6.CTL), and the input file specified in the routine control file (SOILMAP6.INP) must be placed in the same directory. The routine is executed by typing SOILMAP6 in a DOS window, by double clicking on the file SOILMAP6.EXE in the Microsoft Windows operating system, or by typing in the path and filename in the RUN window of the Windows NT or Windows 98 start menu. The input and output file names must be in the correct sequential order as specified in the routine control file (see example listing below). • Example listing of routine control file SOILMAP6.CTL soilmap6.ctl (header line) geomod4.inp (input file name) soilmap6.inp (main output file name) soilmap6.out (auxiliary output file used for routine testing) • Example listing of the input file GEOMOD4.INP (only the first 20 lines of the file are listed). The input parameters used by SOILMAP6 V1.0 are slope (column 6), soil depth class (column 10), and rock-type (column 11). 1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 201 4 0 0 0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 201 4 0 0 0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 201 4 0 0 0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 201 4 0 0 0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 201 4 0 0 0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 201 4 0 0 0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 201 4 0 0 0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 201 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 0 0 0 0 0 0 0 0 12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 202 4 0 0 0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 0 0 0 0 0 0 0 0 13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 202 4 0 0 0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 0 0 0 0 0 0 0 0 14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 202 4 0 0 0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 0 0 0 0 0 0 0 0 15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 201 4 0 0 0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 0 0 0 0 0 0 0 0 16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 201 4 0 0 0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 • Example listing of the output file SOILMAP6.INP (only the first 20 lines of the file are listed). The modified output consists of the addition of a new column consisting of the estimated soil thickness, in meters (column 11). 1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 0.26 201 4 0 0 0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 0.20 201 4 0 0 0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 0.19 201 4 0 0 0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 0.22 201 4 0 0 0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 0.20 201 4 0 0 0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 0.17 201 4 0 0 0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 0.17 201 4 0 0 0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 0.22 201 4 0 0 0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 0.32 201 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 0.36 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 0.26 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 0 0 0 0 0 0 0 0 12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 0.27 202 4 0 0 0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 0 0 0 0 0 0 0 0 13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 0.32 202 4 0 0 0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 0 0 0 0 0 0 0 0 14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 0.28 202 4 0 0 0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 0 0 0 0 0 0 0 0 15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 0.24 201 4 0 0 0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 0 0 0 0 0 0 0 0 16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 0.27 201 4 0 0 0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 0.27 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 0.26 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 0.23 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 0.23 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 • Figures used as part of the routine test plan: UTM northing (meters) 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 548667 551333 554000 UTM easting (meters) 0 5 1015202530354045 _30msite_inp_6: ground surface slope (degrees) Figure IX-1. TRANSFORM map image (file 30MSLOPE.HDF) created using the input parameter ground surface slope from column 6 of the input file GEOMOD4.INP. UTM northing (meters) 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 545000 547500 550000 552500 555000 UTM easting (meters) 123456 soilmap6_inp_10: output soil depth class Figure IX-2. TRANSFORM map image (file SOILM6DC.HDF) of the finalized soil depth class obtained from column 10 of the output file SOILMAP6.INP, showing integer values ranging from 1 to 6. UTM northing (meters) 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 548667 551333 554000 UTM easting (meters) 12345 soilmap6_inp_11: output soil depth (meters) Figure IX-3. TRANSFORM map image (file SOILMP61.HDF) created using the estimated soil thickness from column 11 of the output file SOILMAP6.INP, showing the full range of estimated soil thickness of 0.01 to 6 meters (a soil thickness of 6 meters represents locations where actual soil thickness is 6 meters and greater). UTM northing (meters) 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 548667 551333 554000 UTM easting (meters) 0.05 0.15 0.25 0.35 0.45 soilmap6_inp_11: output soil depth (meters) Figure IX-4. TRANSFORM map image (file SOILMP62.HDF) created using the estimated soil thickness from column 11 of the output file SOILMAP6.INP, showing estimated soil thickness for locations with thin soils. UTM northing (meters) 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 548667 551333 554000 UTM easting (meters) 1.0 2.0 3.0 4.0 5.0 soilmap6_inp_11: output soil depth (meters) Figure IX-5. TRANSFORM map image (file SOILMP63.HDF) created using the estimated soil thickness from column 11 of the output file SOILMAP6.INP, showing estimated soil thickness for locations with intermediate soil thickness. • Tables used as part of the routine test plan: Table IX-1. Soil depth classes obtained from column 10 of the input file GEOMOD4.INP, showing integer values ranging from 1 to 6 for a subset of grid cells located in upper Solitario Canyon. UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547211 547241 547271 547301 547331 547361 547391 547421 4079703 5 5 4 4 5 2 1 1 4079673 2 5 5 4 5 2 1 1 4079643 1 2 5 5 5 2 1 1 4079613 1 1 2 5 5 1 1 1 4079583 1 1 2 5 5 1 1 1 4079553 1 1 2 5 3 1 1 1 4079523 1 1 3 5 3 1 1 1 4079493 1 1 3 5 1 1 1 1 4079463 1 1 5 3 1 1 1 1 4079433 1 3 5 3 1 1 1 1 4079403 1 3 5 3 1 1 1 1 4079373 3 3 5 3 1 1 1 1 4079343 3 5 5 3 1 1 3 3 4079313 5 5 5 6 3 3 3 3 4079283 5 4 5 6 6 6 3 1 4079253 4 4 5 6 6 6 6 3 4079223 4 4 5 6 6 3 3 3 4079193 4 4 5 6 3 1 1 1 4079163 4 4 5 6 3 1 1 1 4079133 4 4 5 3 1 1 1 1 4079103 4 5 5 1 1 1 1 1 4079073 4 5 3 3 1 1 1 1 4079043 4 5 3 3 1 1 1 1 4079013 4 5 1 1 1 1 1 1 4078983 4 5 1 1 1 1 1 1 4078953 4 5 1 1 1 1 1 1 4078923 4 5 2 1 1 1 1 1 4078893 4 5 1 1 1 1 1 1 4078863 4 5 2 1 1 1 1 1 4078833 4 5 2 1 1 1 1 1 4078803 4 5 2 2 1 1 1 1 4078773 4 5 2 2 1 1 1 1 4078743 5 5 2 1 1 1 1 1 Table IX-2. Rock-type numbers obtained from column 11 of the input file GEOMOD4.INP, showing integer values ranging from 16 to 325 for a subset of grid cells located in upper Solitario Canyon. UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547211 547241 547271 547301 547331 547361 547391 547421 4079703 319 19 301 301 30 31 320 319 4079673 19 19 19 301 31 31 320 319 4079643 314 19 19 18 31 31 320 319 4079613 314 314 18 18 31 321 320 320 4079583 314 314 17 18 321 321 320 320 4079553 314 314 17 17 313 321 321 320 4079523 314 314 17 17 313 321 320 320 4079493 314 314 17 17 313 321 320 320 4079463 314 314 314 313 313 321 320 320 4079433 314 17 314 313 320 321 320 320 4079403 314 17 17 313 320 321 320 320 4079373 17 17 17 313 320 321 320 320 4079343 17 17 17 313 320 321 321 320 4079313 314 17 313 313 320 321 321 320 4079283 17 301 313 313 320 321 321 320 4079253 301 301 313 313 320 321 321 324 4079223 301 301 313 313 320 321 321 324 4079193 301 301 313 313 320 321 321 324 4079163 301 301 313 313 319 321 321 324 4079133 301 301 313 313 314 319 321 324 4079103 301 313 313 313 314 319 319 324 4079073 301 313 313 313 314 319 319 324 4079043 301 313 313 313 314 319 319 324 4079013 301 313 313 313 314 319 319 325 4078983 301 313 313 313 314 314 319 325 4078953 301 313 313 314 314 313 323 325 4078923 301 313 16 314 313 311 323 325 4078893 301 16 313 314 314 313 325 325 4078863 301 313 30 314 314 314 325 324 4078833 301 30 30 314 314 314 325 324 4078803 301 30 30 28 315 315 325 324 4078773 302 30 30 28 315 319 325 324 4078743 30 30 30 314 314 319 325 324 Table IX-3. Finalized soil depth classes generated by SOILMAP6 and included in column 10 of the output file SOILMAP6.INP, showing values ranging from 1 to 6 for a subset of grid cells located in upper Solitario Canyon. UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547211 547241 547271 547301 547331 547361 547391 547421 4079703 5 5 4 4 5 2 1 1 4079673 2 5 5 4 5 2 1 1 4079643 1 2 5 5 5 2 1 1 4079613 1 1 2 5 5 1 1 1 4079583 1 1 2 5 5 1 1 1 4079553 1 1 2 5 3 1 1 1 4079523 1 1 3 5 3 1 1 1 4079493 1 1 3 5 1 1 1 1 4079463 1 1 5 3 1 1 1 1 4079433 1 3 5 3 1 1 1 1 4079403 1 3 5 3 1 1 1 1 4079373 3 3 5 3 1 1 1 1 4079343 3 5 5 3 1 1 3 3 4079313 5 5 5 6 3 3 3 3 4079283 5 4 5 6 6 6 3 1 4079253 4 4 5 6 6 6 6 3 4079223 4 4 5 6 6 3 3 3 4079193 4 4 5 6 3 1 1 1 4079163 4 4 5 6 3 1 1 1 4079133 4 4 5 3 1 1 1 1 4079103 4 5 5 1 1 1 1 1 4079073 4 5 3 3 1 1 1 1 4079043 4 5 3 3 1 1 1 1 4079013 4 5 1 1 1 1 1 1 4078983 4 5 1 1 1 1 1 1 4078953 4 5 1 1 1 1 1 1 4078923 4 5 2 1 1 1 1 1 4078893 4 5 1 1 1 1 1 1 4078863 4 5 2 1 1 1 1 1 4078833 4 5 2 1 1 1 1 1 4078803 4 5 2 2 1 1 1 1 4078773 4 5 2 2 1 1 1 1 4078743 5 5 2 1 1 1 1 1 Table IX-4. Calculated ground surface slope obtained from column 6 of the input file GEOMOD4.INP, showing values ranging from 1 to 345 for a subset of grid cells located in upper Solitario Canyon. UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547211 547241 547271 547301 547331 547361 547391 547421 4079703 10 4 4 4 6 12 17 20 4079673 15 7 3 5 6 13 19 21 4079643 16 10 5 5 7 13 19 22 4079613 14 11 7 4 5 13 18 22 4079583 14 11 7 4 4 12 17 21 4079553 14 11 7 4 5 11 16 19 4079523 14 9 5 4 6 13 17 19 4079493 13 8 4 4 7 14 17 19 4079463 11 6 3 3 8 14 17 19 4079433 9 5 3 4 9 14 16 18 4079403 7 3 2 4 10 14 15 17 4079373 6 3 3 5 10 14 15 17 4079343 5 3 4 6 9 13 15 18 4079313 4 3 4 7 9 12 15 19 4079283 3 3 5 7 10 13 16 19 4079253 3 3 5 7 10 14 16 18 4079223 3 3 5 7 10 14 17 18 4079193 3 3 5 8 10 13 16 18 4079163 2 3 5 8 11 13 15 17 4079133 2 3 5 9 12 13 14 17 4079103 3 4 6 10 12 13 14 17 4079073 3 4 8 10 12 13 14 16 4079043 3 5 9 11 12 13 14 15 4079013 3 6 10 12 12 13 14 16 4078983 4 7 10 12 12 12 14 16 4078953 4 8 12 12 12 14 15 16 4078923 5 10 13 12 13 14 14 16 4078893 5 10 13 13 13 13 14 17 4078863 5 10 13 14 14 13 14 18 4078833 6 11 13 14 14 13 14 18 4078803 7 11 13 14 14 13 14 18 4078773 8 11 13 13 13 13 14 18 4078743 8 12 14 12 12 13 14 18 Table IX-5. Soil thickness estimates obtained from column 11 of the output file SOILMAP6.INP. For the indicated subset of grid cells located in upper Solitario Canyon, the table shows estimated soil thickness ranging from 0.24 meters for grid cells in soil depth class 1 with a slope of 22 degrees to 6 meters and greater for grid cells in soil depth class 4. UTM northing Grid coordinates (meters) UTM easting grid coordinates (meters) 547211 547241 547271 547301 547331 547361 547391 547421 4079703 4.4 5.36 6 6 5.04 1.4 0.31 0.27 4079673 1.25 4.88 5.52 6 5.04 1.35 0.28 0.26 4079643 0.32 1.5 5.2 5.2 4.88 1.35 0.28 0.24 4079613 0.35 0.39 1.65 5.36 5.2 0.36 0.3 0.24 4079583 0.35 0.39 1.65 5.36 5.36 0.37 0.31 0.26 4079553 0.35 0.39 1.65 5.36 5.2 0.39 0.32 0.28 4079523 0.35 0.37 5.2 5.36 5.04 0.36 0.31 0.28 4079493 0.36 0.34 5.36 5.36 0.31 0.35 0.31 0.28 4079463 0.39 0.28 5.52 5.52 0.34 0.35 0.31 0.28 4079433 0.37 5.2 5.52 5.36 0.37 0.35 0.32 0.3 4079403 0.31 5.52 5.68 5.36 0.4 0.35 0.34 0.31 4079373 5.04 5.52 5.52 5.2 0.4 0.35 0.34 0.31 4079343 5.2 5.52 5.36 5.04 0.37 0.36 3.6 3.12 4079313 5.36 5.52 5.36 4.88 4.56 4.08 3.6 2.96 4079283 5.52 6 5.2 4.88 4.4 3.92 3.44 0.28 4079253 6 6 5.2 4.88 4.4 3.76 3.44 3.12 4079223 6 6 5.2 4.88 4.4 3.76 3.28 3.12 4079193 6 6 5.2 4.72 4.4 0.36 0.32 0.3 4079163 6 6 5.2 4.72 4.24 0.36 0.34 0.31 4079133 6 6 5.2 4.56 0.37 0.36 0.35 0.31 4079103 6 5.36 5.04 0.4 0.37 0.36 0.35 0.31 4079073 6 5.36 4.72 4.4 0.37 0.36 0.35 0.32 4079043 6 5.2 4.56 4.24 0.37 0.36 0.35 0.34 4079013 6 5.04 0.4 0.37 0.37 0.36 0.35 0.32 4078983 6 4.88 0.4 0.37 0.37 0.37 0.35 0.32 4078953 6 4.72 0.37 0.37 0.37 0.35 0.34 0.32 4078923 6 4.4 1.35 0.37 0.36 0.35 0.35 0.32 4078893 6 4.4 0.36 0.36 0.36 0.36 0.35 0.31 4078863 6 4.4 1.35 0.35 0.35 0.36 0.35 0.3 4078833 6 4.24 1.35 0.35 0.35 0.36 0.35 0.3 4078803 6 4.24 1.35 1.3 0.35 0.36 0.35 0.3 4078773 6 4.24 1.35 1.35 0.36 0.36 0.35 0.3 4078743 4.72 4.08 1.3 0.37 0.37 0.36 0.35 0.3 • Listing of source code for routine SOILMAP6 V1.0: program soilmap6 c version 1.0 c c Routine to estimate soil thickness (in meters) c using an empirical linear function based on c the updated soil depth class parameter and the c the calculated ground surface slope obtained from c from the input file GEOMOD4.INP. c c This is the fourth routine in a sequence of pre-processing c routines used to develop the geospatial input files used c for the net infiltration modeling program, INFIL version 2.0. c c SOILMAP6 performs two functions: c The first function is a final adjustment of the soil depth c class parameters defined by GEOMOD4 based on a check for c the occurrence of inconsistencies between the updated soil c depth class parameters and the updated rock-type parameters. c A final set of depth class parameters is created to flag c specific combinations of soil depth class and rock-types, c and the modified depth class parameters are included in the c output file SOILMAP6.INP. c c The second function consists of an estimation of c soil thickness (in meters) based on the finalized depth class c parameters and the calculated ground surface slope. The estimates c are obtained using a simple empirical linear function c specific to each depth class. c c The input and output files are column-formatted c ASCII text files consisting of 253,597 rows (for c 253,597 grid cell locations). The input file consists c of 48 columns where each column corresponds to a specific geospatial c parameter according to the following order: c The output file consists of an additional column following c the depth class parameter (column 10) and consists of the estimated c soil thickness, in meters. c c This routine was written by c Joe Hevesi, U.S. Geological Survey, WRD c Placer Hall, 6000 J Street c c column 1: LOCID (grid location number) c column 2: X2 (UTM easting coordinate, in meters) c column 3: Y2 (UTM northing coordinate, in meters) c column 4: LAT (latitude for X coordinate, in decimal degrees) c column 5: LON (longitude for Y coordinate, in decimal degress) c column 6: SL (ground surface slope, in degress) c column 7: ASP (ground surface aspect, in degrees) c column 8: ELEV (ground surface elevation, in meters) c column 9: SOILTYPE (soil type identification number) c column 10: DEPTHCLASS (soil depth class identification number) c column 11: ROCKTYPE (rock type identification number) c column 12: TOPOID (topographic position identification number) c column 13: RIDGE(1) (1st blocking ridge angle) c " " c " " c column 48 RIDGE(36) (last blocking ridge angle) c c c Sacramento, CA, c c---------------------------------------------------------------------72 c integer n,geo1,rocktype,soiltype,depthclass,topoid integer sl,asp,elev integer iopt double precision x1,x2,y1,y2 real lat,lon,depth integer ridge(40) character*20 inpfile,newsoil,outfile character*80 header character*10,legend depth = -.99 c c---- depthclass 1 = shallow upland sopils if(depthclass.eq.1) then c c----- if shallow soil overlies alluvium or colluvium, c change to depthclass 6 and flag using c if((rocktype.eq.0).or. 2 (rocktype.eq.1).or. 3 (rocktype.eq.204).or. 4 (rocktype.eq.301).or. 5 (rocktype.eq.302)) then c depthclass = -1 depth = 6 c write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth 215 format(1x,f10.1,f11.1,3i5,1x,i5,f8.4) c else c c----- use new slope model for upland soil (depthclass 1) c if(sl.le.10) depth = 0.03*sl+0.1 if(sl.gt.10) depth = 0.013*(10-sl)+0.4 if(sl.gt.40) depth = 0.01 write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth c 5 format(A) open(unit=7,file='soilmap6.ctl') read(7,5) header read(7,5) inpfile read(7,5) newsoil read(7,5) outfile c open(unit=9,file=inpfile) open(unit=10,file=newsoil) open(unit=11,file=outfile) c c n2 = 1 200 read(9,*,END=900) locid,x2,y2,lat,lon, 1 sl,asp,elev,SOILTYPE,depthclass,ROCKTYPE, 2 topoid,(ridge(j), j=1,36) c endif c c---- depthclass 2 = colluvium (footslopes) else if(depthclass.eq.2) then c if((rocktype.eq.0).or. else depth = 0.4 if(sl.le.32) depth = 2-(.05*sl) write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth endif c c---- depthclass 3 = initial buffer zone else if(depthclass.eq.3) then c if((rocktype.eq.0).or. 2 (rocktype.eq.1).or. 3 (rocktype.eq.204).or. 4 (rocktype.eq.301).or. 5 (rocktype.eq.302)) then c depthclass = -3 depth = 6 write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth c else depth = 2.0 if(sl.le.25) depth = 6-(0.16*sl) write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth c endif c c c---- depthclass 5 = 2nd buffer zone else if(depthclass.eq.5) then c if((rocktype.eq.0).or. 2 (rocktype.eq.1).or. 3 (rocktype.eq.204).or. 4 (rocktype.eq.301).or. 5 (rocktype.eq.302)) then c depthclass = -5 depth = 6 write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth c else depth = 2.0 if(sl.le.25) depth = 6-(0.16*sl) 2 (rocktype.eq.1).or. 3 (rocktype.eq.204).or. 4 (rocktype.eq.301).or. 5 (rocktype.eq.302)) then c depthclass = -2 depth = 6 write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth c write(11,215) x2,y2,soiltype,rocktype,depthclass, c---- depthclass 6 = bedrock geology within buffer zone else if(depthclass.eq.6) then c if((rocktype.eq.0).or. 2 (rocktype.eq.1).or. 3 (rocktype.eq.204).or. 4 (rocktype.eq.301).or. 5 (rocktype.eq.302)) then c depthclass = -6 depth = 6 write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth c else depth = 2.0 if(sl.le.25) depth = 6-(0.16*sl) write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth c endif c c c---- depthclass 4 = deep alluvium else if(depthclass.eq.4) then if((rocktype.ne.0).and. 1 (rocktype.ne.1).and. 2 (rocktype.ne.204).and. 3 (rocktype.ne.301).and. 4 (rocktype.ne.302)) then depthclass = -4 depth = 2.0 if(sl.le.25) depth = 6-(0.16*sl) write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth c else depth = 6 write(11,215) x2,y2,soiltype,rocktype,depthclass, 1 sl,depth c endif c endif c c write(10,205) locid,x2,y2,lat,lon,sl,asp,elev, 1 soiltype,depthclass,depth,rocktype,topoid, 2 (ridge(j), j=1,36) 205 format(i7,f8.0,f9.0,f8.4,f9.4,i4,i4,i6,i3,i3,f6.2,i4,i3, 1 36i3) c if(n2.eq.1000) then write(*,*) locid n2 = 0 endif 1 sl,depth c endif c c c n2 = n2 + 1 goto 200 c 900 continue close(10) close(11) stop end ATTACHMENT XDEVELOPMENT OF FLOW ROUTING PARAMETERS USING SORTGRD1 V1.0 TOTAL PAGES: 19 Development of Flow Routing Parameters using SORTGRD1 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: SORTGRD1 V1.0 OS and hardware environment: Windows NT 4.0, Pentium Pro PC Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 Computer Identification: SM321276 with a USGS specific hostname P720dcasr 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for SORTGRD1 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 5.0. 3. General Description of routine/macro: SORTGRD1 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically for the analysis/model activity documented in this AMR. The routine source code (SORTGRD1.FOR), compiled executable file (SORTGRD1.EXE), routine control file (SORTGRD1.CTL), input and output files, validation test files, and a copy of this attachment, are located under the directory SORTGRD1 on a CD-ROM labeled GEOINPUT2. The routine source code, control file, and the input and output files are ASCII text filesthat can be read using any standard ASCII text editor and can be imported into standard word processing or spreadsheet applications such as Microsoft WORD and EXCEL. The executable file can be used to run SORTGRD1 V1.0 on any PC with an INTEL processor (with adequate RAM). All input parameters used by SORTGRD1 V1.0 and the parameters calculated by SORTGRD1 that are included in the developed output file, 30MGRD01.SR1, are used for the development of the geospatial parameter input file for INFIL V2.0. The file 30MGRD01.SR1 is used directly as input to the routines CHNNET16 V1.0 and VEGCOV01 V1.0. 4. Test plan for the software routine SORTGRD1 V1.0: • Explain whether this is a routine or macro and describe what it does: SORTGRD1 V1.0 is the fifth routine applied in a sequence of FORTRAN 77 routines that are used in the development of the geospatial parameter input file for INFIL V2.0. The routine’s primary function is an application of a basic bubble-sort algorithm to perform an ascending sort (highest values at the top of the list, lowest values at the bottom) of the ground surface elevation values included in the developed geospatial parameter input file SOILMAP6.INP (which is the output file from SOILMAP6 V1.0). The pre-processing application performed by SORTGRD1 V1.0 is the initial phase of the pre-processing applications required to develop surface water flow routing parameters and to extract watershed modeling domains from the geospatial parameter base grid. The output file created by SORTGRD1 V1.0 is 30MGRD01.SR1, which is supplied directly as input to the routines CHNNET16 V1.0 and VEGCOV01 V1.0. The sorting function performed by SORTGRD1 V1.0 moves the entire row of the input file SOILMAP6.INP during the sorting process. Thus, the sorting performs a shuffling of the input deck, one row at a time, until the row or grid cell sequence of the entire input deck has been re-organized based on the ascending order of elevation values. Because the entire line is moved as a unit during the re-ordering, the raster-based grid geometry defined by the UTM coordinates for each grid cell is maintained for all geospatial parameters, with the exception of the grid cell number. SORTGRD1 modifies the grid cell number according to the results of the sorting. The new grid cell number is the new row sequence number (the grid cell number for the top row is 1 and the grid cell number for the bottom row is 253,597). A second function performed by SORTGRD1 is the addition of the raster-grid row and column indices to the output file. These are created by SORTGRD1 using the UTM grid cell easting and northing coordinates obtained from the input file SOILMAP6.INP. The row and column indices are used by CHNNET16 V1.0 and by INFIL V2.0 to increase the efficiency of the flow routing algorithm. A third function performed by SORTGRD1 V1.0 is the re-positioning of the column sequence and the addition of two columns to the output file that identify the column position for the vegetation parameters using a place holder value of –99. • Listing of FORTRAN77 Source code: A listing of the FORTRAN77 source code for the routine SORTGRD1 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: To test that the first function performed by the routine is working properly, a selection of the input and output from the routine is printed out and visually inspected. The selection of the input printout is in Table X-1; and the output printout is in Table X-2. The test involves determining whether the sequence of rows in the output file is sorted correctly according to a descending sequence of elevations. To satisfy the test criteria, the highest elevation value from the input file must be in the first row of the output file and the lowest elevation value from the input file must be in the last row of the output file. To test the second function of generating row and column grid cell indices, map images of the row and column indices included in the output file (columns 6 and 7) are created in TRANSFORM and visually inspected. To satisfy the test criteria, the map image of the row index must show a north-south linear increase of row indices from 1 to 691, and the map image of the column index must show a west-east linear increase of column indices from 1 to 367. To test the third function performed by the SORTGRD1 V1.0, the format and column ordering of the output files is visually inspected. To satisfy the test criteria, the output file must consist of 253,597 rows and 53 columns. The modified grid cell number must be in column 1, the new row and column indices must be in columns 6 and 7, and the slope and aspect parameters must be re-positioned to columns 9 and 10. The –99 place holder values for the vegetation parameters must be in columns 16 and 17. • Specify the range of input values to be used and why the range is valid: SOILMAP6.INP is the input file used by SORTGRD1 V1.0. The file is specified in the file SORTGRD1.CTL, which is the routine control file for SORTGRD1 and is required for program execution. SOILMAP6.INP is a column-formatted ASCII file consisting of 253,597 rows and 49 columns (see Attachment IX). The parameters provided by SOILMAP6.INP and used or modified by SORTGRD1 are elevation (values are in meters, from 918 to 1969), UTM easting coordinate (from 544,661 to 555,641 meters), UTM northing coordinate values (4,067,133 to 4,087,833 meters), and the grid cell number (integers from 1 to 253,597). 5. Test Results. • Output from test: The output for the test case is the main output file 30MGRD01.SR1 generated by SORTGRD1. The output file is used to generate raster-format map image files in TRANSFORM which are used only as a part of the validation test plan (the map image files are not required as part of the pre-processing procedure for developing the input used by INFIL V2.0). • Description of how the testing shows that the results are correct for the specified input: A comparison of the input and output files shows the unsorted row-sequence of elevation values in the input file (Table X-1) and the sorted (descending order) row-sequence of elevation values in the output file (Table X-2). The printout of the first 20 lines of the output file shows the first line of the file has the highest elevation and the last line of the file has the lowest elevation (see file printouts for SOILMAP6.INP and 30MGRD01.SR1 provided under section 6 as supporting information). These results indicate that the test criteria for the first function are satisfied. The TRANSFORM map image of the row index (Figure X-1) obtained from the output file indicates the correct north-to-south linearly increasing row sequence of 1 to 691. The TRANSFORM map image of the column index (Figure X-2) obtained from the output file indicates the correct west-to-east linearly increasing column sequence of 1 to 367. ). These results indicate that the test criteria for the second function are satisfied. Visual inspection of the input and output files (see printouts in section 6) indicates that the row and column indices were correctly included as columns 6 and 7 in the output file, the – 99 place holder values for the vegetation parameters were correctly added as columns 16 and 17, and the slope and aspect parameters were correctly re-positioned to columns 9 and 10. Only the intended modifications of the input parameters and input file format is observed. The output file has the correct number of lines (253,597), the correct number of columns (53), and the sequencing of columns and rows is correct. These results indicate that the test criteria for the third function are satisfied. • List limitations or assumptions to this test case and code in general: The limitations of the developed test case are based on the practical limitations of verifying modified parameter values for all 253, 597 grid cells included in the output file used for the developed test case. Validation of the entire output file used in the test case was performed as a visual evaluation of raster-based map images produced in TRANSFORM. Only a subset of the entire output file could be used for more detailed validation tests that included a manual check of the equations used by the routine. • Electronic files identified by name and location: Electronic files are located on CD-ROM labeled GEOINPUT-2, under the directory SORTGRD1, included as an attachment to the AMR. The following electronic files are provided: SORTGRD1.CTL: Input file consisting of the input and output file names for SORTGRD1 V1.0. SORTGRD1.FOR: FORTRAN source code listing for the routine SORTGRD1 V1.0. A printout of the source code is included as part of this attachment. SORTGRD1.EXE: Executable file for the routine SORTGRD1 V1.0, compiled for INTEL processors. SOILMAP6.INP: Input file consisting of a column-formatted, ASCII text file with 253,597 rows and 49 columns. This file was developed as the output file from SOILMAP6 V1.0 (see Attachment IX). A partial printout of the first part of this file is included as part of this attachment. 30MGRD01.SR1: Output file consisting of a column-formatted, ASCII text file with 253,597 rows and 53 columns. Each row corresponds to a grid cell location for the geospatial parameter base grid (the UTM location coordinates are defined by columns 2 and 3). Columns 6 and 7 are the row and column grid cell indices added by SORTGRD1 and used as input for CHNNET16 V1.0 (see Attachment XI). Columns 9 and 10 are place holder values added by SORTGRD1 for two vegetation parameters (all values are –99). A partial printout of the first part of this file is included as part of this attachment. SRT-ROW.HDF: TRANSFORM map image of the row index (Figure X-1). This file is used only as supporting information for the test plan. SRT-COL.HDF: TRANSFORM map image of the column index (Figure X-2). This file is used only as supporting information for the test plan. 6. Supporting Information. (Include background information, such as revision to a previous routine or macro, or explanation of the steps performed to run the software. Include listings of all electronic files and codes used). • Procedure for running routine: To run the routine SORTGRD1 V1.0, the executable file (SORTGRD1.EXE), the routine control file (SORTGRD1.CTL), and the input file (SOILMAP6.INP) specified in the routine control file must be placed in the same directory. The routine is executed by typing SORTGRD1 in a DOS window, by double clicking on the file SORTGRD1.EXE in the Microsoft Windows operating system, or by typing in the path and filename in the RUN window of the Windows NT or Windows 98 start menu. The input and output file names must be in the correct sequential order as specified in the routine control file (see example listing below). • Example listing of routine control file SORTGRD1.CTL Sortgrd1.ctl (header line) Soilmap6.inp (input file from routine SOILMAP6 version1.0) 30mgrd01.sr1 (output file sorted from high elevation to low, generated by sortgrd1.ctl) • Example listing of the input file SOILMAP6.INP (only the first 20 lines of the file are listed). 1 544661. 4087833. 36.9373 116.4985 21 238 1739 5 1 0.26 201 4 0 0 0 0 0 0 0 2 25 25 25 24 23 21 19 16 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 544691. 4087833. 36.9373 116.4981 25 259 1750 5 1 0.20 201 4 0 0 0 0 0 0 0 3 29 28 27 26 25 22 19 17 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 544721. 4087833. 36.9373 116.4978 26 269 1767 5 1 0.19 201 4 0 0 0 0 0 0 0 2 25 25 26 26 24 20 18 17 10 10 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 544751. 4087833. 36.9373 116.4975 24 277 1781 5 1 0.22 201 4 0 0 0 0 0 0 0 2 25 25 26 26 25 22 18 16 9 9 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 544781. 4087833. 36.9373 116.4971 25 284 1794 5 1 0.20 201 4 0 0 0 0 0 0 0 2 26 26 27 26 25 23 21 17 11 11 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 544811. 4087833. 36.9373 116.4968 28 286 1807 5 1 0.17 201 4 0 0 0 0 0 0 0 3 29 28 24 25 24 23 20 17 14 14 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 544841. 4087833. 36.9373 116.4965 28 284 1824 5 1 0.17 201 4 0 0 0 0 0 0 0 2 25 23 15 16 15 17 15 13 11 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 544871. 4087833. 36.9373 116.4961 24 277 1838 5 1 0.22 201 4 0 0 0 0 0 0 0 2 23 20 2 5 6 6 6 5 8 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 544901. 4087833. 36.9373 116.4958 16 241 1851 5 1 0.32 201 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 544931. 4087833. 36.9373 116.4955 13 169 1854 5 1 0.36 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 544961. 4087833. 36.9373 116.4951 21 127 1846 5 1 0.26 202 4 0 0 0 0 0 0 0 0 5 4 0 0 0 0 0 0 0 0 2 1 0 1 1 1 2 1 14 12 0 0 0 0 0 0 0 0 12 544991. 4087833. 36.9373 116.4948 20 128 1836 5 1 0.27 202 4 0 0 0 0 0 0 0 0 8 7 1 1 0 0 0 0 0 0 2 4 4 4 4 7 9 9 18 15 0 0 0 0 0 0 0 0 13 545021. 4087833. 36.9373 116.4944 16 166 1829 5 1 0.32 202 4 0 0 0 0 0 0 0 1 14 13 8 3 1 0 0 0 0 0 2 5 6 6 6 7 8 11 15 13 0 0 0 0 0 0 0 0 14 545051. 4087833. 36.9373 116.4941 19 220 1833 5 1 0.28 202 4 0 0 0 0 0 0 0 2 18 16 8 6 2 1 0 0 0 0 0 3 4 4 3 3 3 3 9 7 0 0 0 0 0 0 0 0 15 545081. 4087833. 36.9373 116.4938 22 232 1843 5 1 0.24 201 4 0 0 0 0 0 0 0 1 16 14 3 2 0 0 0 0 0 0 0 0 1 2 1 1 1 1 4 3 0 0 0 0 0 0 0 0 16 545111. 4087833. 36.9373 116.4934 20 224 1852 5 1 0.27 201 4 0 0 0 0 0 0 0 1 11 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 545141. 4087833. 36.9373 116.4931 20 204 1858 5 1 0.27 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 545171. 4087833. 36.9373 116.4928 21 188 1861 5 1 0.26 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 545201. 4087833. 36.9373 116.4924 23 178 1862 5 1 0.23 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 545231. 4087833. 36.9373 116.4921 23 162 1861 5 1 0.23 201 4 0 0 0 0 0 0 0 0 6 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 • Example listing of the output file 30MGRD01.SR1 (only the first 20 lines of the file are listed). The row and column grid cell indices have been added as column 6 and 7, the slope and aspect columns have been shifted to columns 9 and 10, and place holders (values of -99) for two vegetation parameters have been added as columns 16 and 17. 1 546191. 4087833. 36.9372 116.4813 1 52 1969. 25 206 5 1 0.20 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 546221. 4087833. 36.9372 116.4810 1 53 1969. 28 147 5 1 0.17 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 546191. 4087803. 36.9370 116.4813 2 52 1959. 23 199 5 1 0.23 201 4 -99 -99 1 0 0 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 4 546161. 4087833. 36.9372 116.4816 1 51 1955. 30 241 5 1 0.14 201 4 -99 -99 0 0 0 0 0 0 0 2 25 22 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 546221. 4087803. 36.9370 116.4810 2 53 1955. 28 140 5 1 0.17 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 6 0 0 8 7 0 0 22 25 6 546191. 4087773. 36.9367 116.4813 3 52 1951. 20 188 5 1 0.27 201 4 -99 -99 1 11 4 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 16 7 546251. 4087833. 36.9372 116.4806 1 54 1950. 36 125 5 1 0.06 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 2 5 3 32 28 0 0 0 0 0 0 0 0 8 546161. 4087803. 36.9370 116.4816 2 51 1949. 27 241 5 1 0.18 201 4 -99 -99 1 0 0 13 13 5 12 2 18 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 9 549311. 4087833. 36.9371 116.4463 1 156 1944. 23 180 5 1 0.23 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 546221. 4087773. 36.9367 116.4810 3 53 1944. 28 134 5 1 0.17 201 4 -99 -99 2 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 2 8 8 13 4 19 22 11 546161. 4087773. 36.9367 116.4816 3 51 1943. 24 237 5 1 0.22 201 4 -99 -99 1 16 6 11 12 5 7 1 14 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 12 546191. 4087743. 36.9364 116.4813 4 52 1942. 20 175 5 1 0.27 201 4 -99 -99 15 11 5 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 15 16 13 546131. 4087833. 36.9372 116.4820 1 50 1939. 33 247 5 1 0.10 201 4 -99 -99 0 0 0 0 0 0 0 3 28 25 10 11 6 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 549281. 4087833. 36.9371 116.4466 1 155 1939. 26 221 5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 549341. 4087833. 36.9371 116.4459 1 157 1939. 26 155 5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 16 546251. 4087803. 36.9370 116.4806 2 54 1938. 35 124 5 1 0.08 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 3 8 5 29 26 12 15 16 15 0 0 18 21 17 546161. 4087743. 36.9364 116.4816 4 51 1937. 23 229 5 1 0.23 201 4 -99 -99 17 18 16 17 9 1 3 1 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 18 546131. 4087803. 36.9370 116.4820 2 50 1933. 33 252 5 1 0.10 201 4 -99 -99 1 0 0 15 14 9 26 20 28 25 7 9 5 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 19 546281. 4087833. 36.9372 116.4803 1 55 1932. 34 130 5 1 0.09 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 8 12 17 16 31 27 0 0 0 0 0 0 0 0 20 549371. 4087833. 36.9371 116.4456 1 158 1932. 27 153 5 1 0.18 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 0 0 0 0 0 0 0 • Example listing of the output file 30MGRD01.SR1 (only the last 20 lines of the file are listed). The row and column grid cell indices have been added as column 6 and 7, the slope and aspect columns have been shifted to columns 9 and 10, and place holders (values of -99) for two vegetation parameters have been added as columns 16 and 17. 253578 554141. 4067223. 36.7510 116.3935 688 317 918. 0 -1 3 4 6.00 204 2 -99 -99 1 1 1 2 2 2 3 3 3 3 4 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 3 4 2 2 1 1 253579 554141. 4067343. 36.7521 116.3935 684 317 918. 0 -1 3 4 6.00 204 2 -99 -99 1 2 2 2 3 3 3 3 3 3 3 3 3 2 0 0 0 0 0 0 0 0 0 0 2 2 3 3 2 2 3 4 2 2 1 1 253580 553931. 4067253. 36.7513 116.3959 687 310 918. 0 48 3 4 6.00 204 2 -99 -99 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 2 4 5 6 6 8 8 8 8 7 5 5 4 2 2 253581 553901. 4067163. 36.7505 116.3962 690 309 918. 1 59 3 4 6.00 204 2 -99 -99 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 5 7 8 8 8 7 7 6 6 4 2 2 253582 554261. 4067463. 36.7532 116.3921 680 321 918. 3 267 3 4 6.00 204 2 -99 -99 2 4 5 6 7 7 7 7 8 7 6 6 6 5 4 4 2 2 0 0 0 0 0 1 1 1 2 2 2 2 3 4 2 2 1 1 253583 554141. 4067283. 36.7516 116.3935 686 317 918. 0 -1 3 4 6.00 204 2 -99 -99 1 1 1 2 2 2 2 3 3 3 3 3 3 1 0 0 0 0 0 0 0 0 0 0 1 2 2 2 2 2 3 4 2 2 1 1 253584 554171. 4067283. 36.7516 116.3932 686 318 918. 0 103 3 4 6.00 204 2 -99 -99 1 1 2 2 3 3 3 3 4 3 3 3 3 2 1 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 3 4 2 2 1 1 253585 554201. 4067283. 36.7516 116.3928 686 319 918. 1 287 3 4 6.00 204 2 -99 -99 1 2 3 3 3 3 4 4 5 4 4 4 4 3 3 1 0 0 0 0 0 0 0 0 0 1 2 2 2 2 3 4 2 2 1 1 253586 554021. 4067193. 36.7508 116.3949 689 313 918. 0 -1 4 4 6.00 204 1 -99 -99 1 1 1 1 2 1 1 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 3 3 4 4 4 3 2 1 1 253587 554231. 4067283. 36.7516 116.3925 686 320 918. 3 287 4 4 6.00 204 1 -99 -99 1 2 3 3 4 5 6 7 7 7 6 6 6 5 5 4 1 1 0 0 0 0 0 0 0 1 2 2 2 2 3 4 2 2 1 1 253588 554171. 4067343. 36.7521 116.3932 684 318 918. 0 -1 3 4 6.00 204 2 -99 -99 1 2 2 2 3 3 3 3 4 3 3 3 3 3 2 0 0 0 0 0 0 0 0 0 1 2 2 2 2 2 3 4 2 2 1 1 253589 554111. 4067463. 36.7532 116.3938 680 316 918. 0 93 4 4 6.00 204 1 -99 -99 1 1 2 2 2 3 3 3 3 2 2 2 2 1 1 0 0 0 0 0 0 0 1 2 2 3 3 3 4 3 3 4 2 2 1 1 253590 553961. 4067343. 36.7521 116.3955 684 311 918. 0 -1 3 4 6.00 204 2 -99 -99 1 1 1 1 1 2 2 1 1 1 1 1 0 0 0 0 0 0 0 0 1 3 4 5 6 6 7 7 6 6 6 5 4 4 2 2 253591 554111. 4067373. 36.7524 116.3938 683 316 918. 0 -1 4 4 6.00 204 1 -99 -99 1 1 2 2 2 3 2 2 3 2 2 2 2 1 0 0 0 0 0 0 0 0 0 1 2 3 3 3 3 3 3 4 2 2 1 1 253592 554051. 4067463. 36.7532 116.3945 680 314 918. 0 16 3 4 6.00 204 2 -99 -99 1 1 2 2 2 2 2 2 2 2 2 2 2 0 0 0 0 0 0 0 0 1 2 2 3 3 5 5 5 5 5 5 4 2 1 1 253593 554081. 4067313. 36.7518 116.3942 685 315 918. 0 -1 4 4 6.00 204 1 -99 -99 1 1 1 1 2 2 2 2 2 2 2 2 2 0 0 0 0 0 0 0 0 0 0 2 2 3 3 3 3 3 3 4 2 2 1 1 253594 553931. 4067403. 36.7527 116.3958 682 310 918. 6 65 3 4 6.00 204 2 -99 -99 1 1 1 1 1 1 2 1 1 1 1 1 0 0 0 0 0 0 0 3 4 6 7 8 9 9 12 11 10 11 10 10 8 6 4 4 253595 553961. 4067403. 36.7527 116.3955 682 311 918. 0 -1 3 4 6.00 204 2 -99 -99 1 1 1 1 1 2 2 1 1 1 1 1 0 0 0 0 0 0 0 0 1 3 5 5 6 7 8 8 8 8 7 5 5 5 2 2 253596 554261. 4067433. 36.7529 116.3921 681 321 918. 3 278 3 4 6.00 204 2 -99 -99 2 3 4 5 6 6 7 7 7 7 7 6 6 5 5 4 2 2 0 0 0 0 0 1 1 1 2 2 2 2 3 4 2 2 1 1 253597 553931. 4067433. 36.7529 116.3958 681 310 918. 8 67 3 4 6.00 204 2 -99 -99 1 1 1 1 1 1 2 1 1 1 1 1 0 0 0 0 0 0 0 3 4 6 8 8 9 10 18 17 10 11 10 10 8 8 5 5 • Example listing of a randomly selected row from the input file SOILMAP6.INP, used to compare against corresponding row of the output file 30MGRD01.SR1. The row number in the input file is 24404. 24404 550091. 4085853. 36.9192 116.4376 26 113 1649 5 1 0.19 206 4 8 4 3 2 1 0 0 0 0 0 0 0 0 0 0 0 4 5 12 14 17 19 21 23 24 25 29 29 32 31 31 29 27 24 17 17 • Example listing of the row in the output file 30MGRD01.SR1 corresponding to row 24404 of the input file, showing the modified grid cell number indicating the new row sequence number (10994) created by the elevation sort. With the exception of the modified grid cell number, the addition of the row and column indices (columns 6 and 7), the re-positioning of the slope and aspect parameters to columns 9 and 10, and the addition of the two place holder columns for the vegetation parameters (columns 16 and 17), no other modifications were performed. 10994 550091. 4085853. 36.9192 116.4376 67 182 1649. 26 113 5 1 0.19 206 4 -99 -99 8 4 3 2 1 0 0 0 0 0 0 0 0 0 0 0 4 5 12 14 17 19 21 23 24 25 29 29 32 31 31 29 27 24 17 17 • Figures used as part of the routine test plan: 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 550000 554000 UTM easting (meters) UTM northing (meters) 125 250 375 500 625 _30mgrd01_sr1_6: row index Figure X-1. TRANSFORM map image (file SRT-ROW.HDF) of the grid cell row index parameter calculated by SORTGRD1 V1.0. UTM northing (meters) 4087500 4085000 4082500 4080000 4077500 4075000 4072500 4070000 4067500 546000 548667 551333 554000 UTM easting (meters) 50 100 150 200 250 300 350 _30mgrd01_sr1_7: column index Figure X-2. TRANSFORM map image (file SRT-COL.HDF) of the grid cell column index parameter calculated by SORTGRD1 V1.0. • Tables used as part of the routine test plan: Table X-1. Selection of input for SORTGRD1 indicating unsorted elevations and grid cell coordinates obtained from the file SOILMAP6.INP. Also shown are the grid cell row and column indices of the raster-based grid defined by the grid cell coordinates. 2 544691 4087833 36.9373 116.4981 1 2 1750 3 544721 4087833 36.9373 116.4978 1 3 1767 4 544751 4087833 36.9373 116.4975 1 4 1781 5 544781 4087833 36.9373 116.4971 1 5 1794 6 544811 4087833 36.9373 116.4968 1 6 1807 7 544841 4087833 36.9373 116.4965 1 7 1824 8 544871 4087833 36.9373 116.4961 1 8 1838 9 544901 4087833 36.9373 116.4958 1 9 1851 10 544931 4087833 36.9373 116.4955 1 10 1854 11 544961 4087833 36.9373 116.4951 1 11 1846 12 544991 4087833 36.9373 116.4948 1 12 1836 13 545021 4087833 36.9373 116.4944 1 13 1829 14 545051 4087833 36.9373 116.4941 1 14 1833 15 545081 4087833 36.9373 116.4938 1 15 1843 16 545111 4087833 36.9373 116.4934 1 16 1852 17 545141 4087833 36.9373 116.4931 1 17 1858 18 545171 4087833 36.9373 116.4928 1 18 1861 19 545201 4087833 36.9373 116.4924 1 19 1862 20 545231 4087833 36.9373 116.4921 1 20 1861 21 545261 4087833 36.9373 116.4917 1 21 1854 22 545291 4087833 36.9373 116.4914 1 22 1846 23 545321 4087833 36.9373 116.4911 1 23 1841 24 545351 4087833 36.9373 116.4907 1 24 1836 25 545381 4087833 36.9373 116.4904 1 25 1821 26 545411 4087833 36.9373 116.4901 1 26 1805 27 545441 4087833 36.9373 116.4897 1 27 1791 28 545471 4087833 36.9373 116.4894 1 28 1777 29 545501 4087833 36.9373 116.4891 1 29 1765 30 545531 4087833 36.9373 116.4887 1 30 1763 31 545561 4087833 36.9373 116.4884 1 31 1766 32 545591 4087833 36.9373 116.488 1 32 1772 33 545621 4087833 36.9373 116.4877 1 33 1781 34 545651 4087833 36.9373 116.4874 1 34 1789 Grid Cell Identifier UTM northing (meters) UTM easting (meters) Latitude (decimal degrees) Longitude (decimal degrees) Grid cell row index Grid cell column index Elevation (feet) 1 544661 4087833 36.9373 116.4985 1 1 1739 UTM Latitude Longitude Grid cell Grid Cell (decimal Grid cell row Elevation northing UTM easting (decimal index index (feet)column Identifier (meters) (meters) degrees) degrees) 35 545681 4087833 36.9373 116.487 1 35 1799 36 545711 4087833 36.9373 116.4867 1 36 1805 37 545741 4087833 36.9373 116.4864 1 37 1807 38 545771 4087833 36.9373 116.486 1 38 1814 39 545801 4087833 36.9373 116.4857 1 39 1825 40 545831 4087833 36.9373 116.4853 1 40 1840 41 545861 4087833 36.9373 116.485 1 41 1854 42 545891 4087833 36.9373 116.4847 1 42 1863 43 545921 4087833 36.9372 116.4843 1 43 1868 44 545951 4087833 36.9372 116.484 1 44 1868 45 545981 4087833 36.9372 116.4837 1 45 1867 46 546011 4087833 36.9372 116.4833 1 46 1871 47 546041 4087833 36.9372 116.483 1 47 1881 48 546071 4087833 36.9372 116.4827 1 48 1898 49 546101 4087833 36.9372 116.4823 1 49 1920 50 546131 4087833 36.9372 116.482 1 50 1939 51 546161 4087833 36.9372 116.4816 1 51 1955 52 546191 4087833 36.9372 116.4813 1 52 1969 53 546221 4087833 36.9372 116.481 1 53 1969 54 546251 4087833 36.9372 116.4806 1 54 1950 55 546281 4087833 36.9372 116.4803 1 55 1932 56 546311 4087833 36.9372 116.48 1 56 1919 57 546341 4087833 36.9372 116.4796 1 57 1910 58 546371 4087833 36.9372 116.4793 1 58 1900 59 546401 4087833 36.9372 116.4789 1 59 1889 60 546431 4087833 36.9372 116.4786 1 60 1878 61 546461 4087833 36.9372 116.4783 1 61 1869 62 546491 4087833 36.9372 116.4779 1 62 1857 63 546521 4087833 36.9372 116.4776 1 63 1841 64 546551 4087833 36.9372 116.4773 1 64 1821 65 546581 4087833 36.9372 116.4769 1 65 1803 Table X-2. Selection from the output file 30MGRD01.SR1, indicating elevation values are arranged in descending order. Also indicated are the modified grid cell identifier numbers and the grid cell indices that are included in the output file. 2 546221 4087833 36.9372 116.481 1 53 1969 3 546191 4087803 36.937 116.4813 2 52 1959 4 546161 4087833 36.9372 116.4816 1 51 1955 5 546221 4087803 36.937 116.481 2 53 1955 6 546191 4087773 36.9367 116.4813 3 52 1951 7 546251 4087833 36.9372 116.4806 1 54 1950 8 546161 4087803 36.937 116.4816 2 51 1949 9 549311 4087833 36.9371 116.4463 1 156 1944 10 546221 4087773 36.9367 116.481 3 53 1944 11 546161 4087773 36.9367 116.4816 3 51 1943 12 546191 4087743 36.9364 116.4813 4 52 1942 13 546131 4087833 36.9372 116.482 1 50 1939 14 549281 4087833 36.9371 116.4466 1 155 1939 15 549341 4087833 36.9371 116.4459 1 157 1939 16 546251 4087803 36.937 116.4806 2 54 1938 17 546161 4087743 36.9364 116.4816 4 51 1937 18 546131 4087803 36.937 116.482 2 50 1933 19 546281 4087833 36.9372 116.4803 1 55 1932 20 549371 4087833 36.9371 116.4456 1 158 1932 21 546221 4087743 36.9364 116.481 4 53 1932 22 546191 4087713 36.9362 116.4813 5 52 1932 23 549311 4087803 36.9368 116.4463 2 156 1931 24 546161 4087713 36.9362 116.4817 5 51 1930 25 549281 4087803 36.9368 116.4466 2 155 1929 26 546251 4087773 36.9367 116.4806 3 54 1928 27 546131 4087773 36.9367 116.482 3 50 1927 28 549401 4087833 36.9371 116.4453 1 159 1926 29 549251 4087833 36.9371 116.4469 1 154 1924 30 549341 4087803 36.9368 116.4459 2 157 1924 31 549431 4087833 36.9371 116.4449 1 160 1922 32 546131 4087743 36.9364 116.482 4 50 1922 33 546221 4087713 36.9362 116.481 5 53 1922 34 546161 4087683 36.9359 116.4817 6 51 1922 35 546281 4087803 36.937 116.4803 2 55 1921 36 546101 4087833 36.9372 116.4823 1 49 1920 Grid Cell Identifier UTM northing (meters) UTM easting (meters) Latitude (decimal degrees) Longitude (decimal degrees) Grid cell row index Grid cell column index Elevation (feet) 1 546191 4087833 36.9372 116.4813 1 52 1969 Grid Cell Identifier UTM northing (meters) UTM easting (meters) Latitude (decimal degrees) Longitude (decimal degrees) Grid cell row index Grid cell column index Elevation (feet) 37 546191 4087683 36.9359 116.4813 6 52 1920 38 546311 4087833 36.9372 116.48 1 56 1919 39 549281 4087773 36.9365 116.4466 3 155 1918 40 549251 4087803 36.9368 116.4469 2 154 1917 41 546131 4087713 36.9362 116.482 5 50 1917 42 549371 4087803 36.9368 116.4456 2 158 1916 43 546251 4087743 36.9364 116.4806 4 54 1916 44 549311 4087773 36.9365 116.4463 3 156 1913 45 546131 4087683 36.9359 116.482 6 50 1912 46 549461 4087833 36.9371 116.4446 1 161 1911 47 546101 4087803 36.937 116.4823 2 49 1911 48 549251 4087773 36.9365 116.4469 3 154 1911 49 546161 4087653 36.9356 116.4817 7 51 1911 50 546341 4087833 36.9372 116.4796 1 57 1910 51 549401 4087803 36.9368 116.4453 2 159 1910 52 546281 4087773 36.9367 116.4803 3 55 1910 53 546221 4087683 36.9359 116.481 6 53 1908 54 546191 4087653 36.9356 116.4813 7 52 1908 55 549431 4087803 36.9368 116.4449 2 160 1907 56 546311 4087803 36.937 116.48 2 56 1905 57 546101 4087773 36.9367 116.4823 3 49 1905 58 546251 4087713 36.9362 116.4806 5 54 1905 59 549221 4087833 36.9371 116.4473 1 153 1904 60 549341 4087773 36.9365 116.4459 3 157 1904 61 549281 4087743 36.9363 116.4466 4 155 1903 62 546131 4087653 36.9356 116.482 7 50 1903 63 549461 4087803 36.9368 116.4446 2 161 1902 64 546101 4087743 36.9364 116.4823 4 49 1901 65 549251 4087743 36.9363 116.447 4 154 1901 • Listing of source code for routine SORTGRD1 V1.0: PROGRAM sortgrd1 c version 1.0 c INTEGER LOCID(1190000) INTEGER LOCID2 integer slp(1190000),asp(1190000) integer row(1190000),col(1190000) integer row2,col2,rown,coln integer SOILID(1190000),DEPTHID(1190000),ROCKID(1190000), 1 TOPOID(1190000) integer SOILID2,DEPTHID2,ROCKID2,TOPOID2 integer block(1190000,36) integer BLOCK2(36) integer vegt(1190000),vegc(1190000) integer slp2,asp2 c real X(1190000),Y(1190000) real el(1190000),depth(1190000) real LAT(1190000),LON(1190000) real depth2,x2,y2,yold REAL LAT2,LON2,Emax real pie,rd,space,hypot,rmax real s11,s12,s21,s22,s31,s32,s41,s42,s51,s52,s61,s62, 1 s71,s72,s81,s82 real s1,r1,s2,r2,s3,r3,s4,r4,s5,r5,s6,r6,s7,r7,s8,r8 c c CHARACTER*20 INFILE,OUTFILE,outfil2 CHARACTER*80 HEADER c c 15 FORMAT(A) OPEN(UNIT=7,FILE='sortgrd1.CTL') READ(7,15) HEADER READ(7,15) INFILE READ(7,15) OUTFILE read(7,15) outfil2 C OPEN(UNIT=8,FILE=INFILE) OPEN(UNIT=9,FILE=OUTFILE) open(unit=10,file=outfil2) C EMAX = -9999999. c c ---------- initialize 2d elevation array c N = 1 coln = 0 rown = 0 yold = 0. 100 READ(8,*,END=150) LOCID(n),X(n),Y(n),LAT(n),LON(n), 1 SLP(n),ASP(n),EL(n),soilid(n), 2 depthid(n),depth(n),ROCKID(n), 3 TOPOID(n),(BLOCK(n,I), I=1,36) C if(y(n).ne.yold) then rown = rown + 1 coln = 1 write(*,*) n,rown endif col(n) = coln row(n) = rown coln = coln + 1 yold = y(n) n = n + 1 c goto 100 150 n = n - 1 write(*,*) n, row(n), col(n) pause c C c ------------- do bubble sort for elevation ------------c do 600 i = 1,n write(*,*) i do 610 j = i,n if(el(j).gt.emax) then emax = el(j) locid2 = locid(j) row2 = row(j) col2 = col(j) x2 = x(j) y2 = y(j) lat2 = lat(j) lon2 = lon(j) slope2 = slp(j) asp2 = asp(j) soilid2 = soilid(j) depthid2 = depthid(j) depth2 = depth(j) rockid2 = rockid(j) topoid2 = topoid(j) do k = 1,36 block2(k) = block(j,k) locid(jid) = locid(i) row(jid) = row(i) col(jid) = col(i) x(jid) = x(i) y(jid) = y(i) lat(jid) = lat(i) lon(jid) = lon(i) slp(jid) = slp(i) asp(jid) = asp(i) soilid(jid) = soilid(i) depthid(jid) = depthid(i) depth(jid) = depth(i) rockid(jid) = rockid(i) topoid(jid) = topoid(i) do k = 1,36 block(jid,k) = block(i,k) enddo c c el(i) = emax locid(i) = locid2 row(i) = row2 enddo jid = j endif 610 continue c el(jid) = el(i) col(i) = col2 x(i) = x2 y(i) = y2 lat(i) = lat2 lon(i) = lon2 slp(i) = slope2 asp(i) = asp2 soilid(i) = soilid2 depthid(i) = depthid2 depth(i) = depth2 c---- create place holders for veg parameters c vegt(i) = -99 vegc(i) = -99 c c WRITE(9,711) i,x(i),y(i),LAT(i),LON(i), 1 row(i),col(i),el(i),slp(i),asp(i),soilid(i), 2 depthid(i),depth(i),rockid(i),topoid(i), 3 vegt(i),vegc(i),(BLOCK(i,j), j=1,36) c 711 FORMAT(1X,i8,2f10.0,2f9.4,2i5,F7.0,3i4,i3,f7.2,4i4, 1 36i3) c 700 continue c c CLOSE(9) close(10) END rockid(i) = rockid2 topoid(i) = topoid2 do k = 1,36 block(i,k) = block2(k) enddo emax = -99999 600 continue c c do 700 i = 1,n c ATTACHMENT XICALCULATION OF FLOW ROUTING PARAMETERS USING CHNNET16 V1.0 TOTAL PAGES: 23 Calculation of Flow Routing Parameters using CHNNET16 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: CHNNET16 V1.0, OS and hardware environment: Windows NT 4.0, Pentium Pro PC Computer Identification: SM321276 with a USGS specific host-name P720dcasr Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for CHNNET16 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 5.0. 3. General Description of routine/macro: CHNNET16 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically for the analysis/model activity documented in this AMR. The routine source code (CHNNET16.FOR), compiled executable file (CHNNET16.EXE), routine control file (CHNNET16.CTL), input and output files, validation test files, and a copy of this attachment, are located under the directory CHNNET16 on a CD-ROM labeled GEOINPUT-2. The routine source code, control file, and the input and output files are ASCII text files that can be read using any standard ASCII text editor and can be imported into standard word processing or spreadsheet applications such as Microsoft WORD and EXCEL. The executable file can be used to run CHNNET16 V1.0 on any PC with an INTEL processor (with adequate RAM). The output developed by CHNNET16 V1.0 is required for the development of the geospatial parameter input file for INFIL V2.0. The output file created by CHNNET16 is used directly as input to the routine WATSHD20 V1.0. 4. Test plan for the software routine CHNNET16 V1.0: • Explain whether this is a routine or macro and describe what it does: CHNNET16 V1.0 is the eighth routine applied in a sequence of FORTRAN 77 routines that are used in the development of the geospatial parameter input files for INFIL V2.0. The first function performed by CHNNET16 is the calculation of the second flow routing parameter using input from 30MGRD01.SR1 which is the elevation-sorted output file from SORTGRD1 V1.0 (see Attachment X). The flow routing calculation is based on a standard D-8 routing scheme in which the eight grid cells surrounding a given grid cell location are scanned and flow is routed to the lowest elevation cell. The first flow routing parameter is the current grid cell identification number provided as input from 30MGRD01.SR1. This parameter is generated by SORTGRD1 and indicates the sequence of sorted elevation values. The second flow routing parameter is generated by CHNNET16 using the grid cell elevations obtained from 30MGRD01.SR1 and is the grid cell identification number for the downstream grid cell that surface water flow is being routed to. In most cases the downstream cell is one of eight adjacent cells surrounding a given grid cell. In cases where all adjacent grid cells have elevations higher than the current grid cell, the next surrounding layer of grid cells is scanned. This process is repeated until a grid cell is located with an elevation less than the current grid cell, or 20 layers have been scanned (which ever occurs first). If 20 layers have been scanned and a routing cell is not located, the current grid cell is designated as a sink (closed basin). A second function performed by CHNNET16 V1.0 is the calculation of the flow accumulation term (the number of upstream cells for each grid cell location). The calculation is performed by routing a uniformly distributed precipitation input of one unit (in this case, 1.0 millimeters) using the two flow routing parameters. The flow accumulation term is used to identify grid cell locations needed as input for extracting watershed modeling domains using the routine WATSHD20 (see Attachment XIV). In addition, the flow accumulation term is used as part of the routine test plan for evaluating if CHNNET16 V1.0 is functioning correctly. The second flow routing parameter (downstream grid cell number) and the flow accumulation term are included in the output file 30MGRD01.C16 generated by CHNNET16 (this file is provided as input to WATSHD20). Additional parameters included in the output file are the easting and northing grid cell coordinates, the row and column grid cell indices, and the first flow routing parameter (the grid cell number). These additional parameters are obtained from the input file 30MGRD01.SR1. Additional columns in the output file 30MGRD01.C16 are optional parameters generated by CHNNET16 V1.0 that are not used in the development of the geospatial parameter input files for INFIL V2.0. • Listing of FORTRAN77 Source code: A listing of the FORTRAN77 source code for the routine CHNNET16 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: A validation test of the functions performed by the routine was conducted by a visual evaluation of the calculated flow accumulation term included in the output file generated by the routine. The flow accumulation term is calculated based on the result of routing a uniform precipitation input of 1 mm. The flow accumulation term is thus equal to the number of upstream grid cells for a given grid cell location. Map images of the flow accumulation term are created in TRANSFORM and ARCVIEW to provide visual representations of the channel network defined by the calculated flow routing parameters. Using applications in ARCVIEW the map image of the channel network is superimposed with a contour or shaded relief image of the topography to provide a method of testing that the routine has functioned correctly. The test criterion is that the channel network defined by CHNNET16 must agree with the expected channel network defined by the topography (within the limitations of the standard D8 routing algorithm). For example, all grid cells having a flow accumulation term of 0 (no upstream cells) indicate flow divides and must occur for ridgetop and summit locations or for high points within the more flat lying basin fill areas. In contrast, all grid cells having approximately 10 or more upstream cells define stream channel locations and must occur along mid to lower sideslopes and the bottom of washes as opposed to ridgetop and summit locations. Major stream channels consisting of approximately 1,000 or more upstream cells must occur in the mid- to downstream-sections of the larger washes and drainages in upland areas or far downslope in gently sloping basin-fill areas with poorly defined drainages. The flow accumulation term must systematically increase with decreasing elevation in the downstream direction (up-hill flow cannot occur), and must exactly equal the sum of all contributing upstream grid cells. Major channels cannot cross drainage divides formed by ridges. All flow routing must be convergent and cannot terminate unless a major sink is reached. A grid cell can be routed to by up to 7 adjacent cells (or even more for locations defined as a sinks), but all cells can only rout to one cell (divergent flow is not allowed). A visual check that the flow routing and the flow accumulation terms are being calculated correctly is also conducted using TRANSFORM to create raster-based map images and extracting input and output parameter values for a subset of grid cells identified in the TRANSFORM file. The input and output parameter values for the subset of grid cells are visually inspected to determine that the functions performed by CHNNET16 have operated correctly and have provided the intended result. An additional test performed as part of the routine validation is an inspection of the output file containing the flow routing parameters. The criteria of the test is that the output file must be in the proper format with the correct number and sequencing of 10 columns and 253,597 rows. The UTM coordinates and the grid cell number of the output file 30MGRD01.C16 must match the UTM coordinates and the grid cell number of the corresponding line in the input file 30MGRD01.SR1. • Specify the range of input values to be used and why the range is valid: The input range is completely determined by the parameters in the file 30MGRD01.SR1 because this is the only source of input provided to the routine. The file is specified in the file CHNNET16.CTL, which is the routine control file for CHNNET16 and is required for the execution of the routine. 30MGRD01.SR1 is a column-formatted ASCII file consisting of 253,597 rows and 53 columns (see Attachments X and XI). For the parameters used by the routine, the input ranges are specified by the following: SORTGRD01.SR1 is the main input file used by CHNNET16 V1.0. Four parameters provided by the input file SORTGRD01.SR1 are used by functions in CHNNET16 V1.0: the grid cell number (column 1), the grid cell row index (column 6), the grid cell column index (column 7), and the grid cell elevation. The input values for the grid cell number are integers from 1 to 253,597. The input values for grid cell row index are integers from 1 to 691. The input values for grid cell column index are integers from 1 to 367. The input values for grid cell elevation are real numbers from 918 to 1,969 (the elevation values are to the nearest meter). This input range is valid because the values were obtained from ARCINFO using the source data as input (see Attachment VI for description of source data used for 30MSITE.INP) and a sequence of applied software routines described in Attachments VI through X of this AMR. 5. Test Results. • Output from test: The output for the test case is the main output file 30MGRD01.C16 generated by CHNNET16 V1.0. The output file is used to generate raster-format map image files in TRANSFORM and ARCVIEW which are used only as a part of the validation test plan (the map image files are not required as part of the pre-processing procedure for developing the input used by INFIL V2.0). • Description of how the testing shows that the results are correct for the specified input: The ARCVIEW map images of the flow accumulation term (Figures XI-1 to XI-3) obtained from column 8 of the output file 30MGRD01.C16 indicate that the flow routing parameters are being calculated correctly by the routine CHNNET16 V1.0. The overlay of the flow accumulation term with a shaded relief image of the topography indicates that the stream channel network defined by the flow routing parameters is correctly positioned relative to topography. Figure XI-1 indicates the major stream channels (channels having more than 10,000 upstream grid cells) defined by the flow accumulation term on the scale of the net infiltration model. The locations of the major channels defined by the flow accumulation term are generally consistent with the known locations of the main channels for Yucca Wash, Drill Hole Wash, Dune Wash, and Solitario Canyon. Deviations of the channel network defined by the flow accumulation term relative to the known locations of channels are within the expected level of accuracy based on the limitations of the digital elevation grid and the D8 routing directions in representing the true locations of channels. Figure XI-2 indicates the major stream channels (channels having more than 1,000 upstream grid cells) defined by the flow accumulation term for the area of the UZ ground water flow model. The stream channel network defined by the flow accumulation term is consistent with the known locations of channels such as Pagany Wash, Wren Wash, Coyote Wash, WT2 Wash, and Abandoned Wash. Figure XI-3 indicates a more detailed view of the flow accumulation term over the area of the potential repository and the ESF. The overlay of the flow accumulation term with the shaded relief map image and the elevation contours shows the correct locations of surface water flow divides and the stream channel network relative to topography (divides are along ridgetops and streams are in valley bottoms). In addition, Figure XI-3 shows that the flow accumulation term increases with decreasing elevation, and this indicates that the flow routing parameters have been correctly calculated by the routine. Tables XI-1 through XI-4 indicate the input and output parameter values for the subset of grid cells extracted from the input and output files using TRANSFORM. Table XI-1 indicates the grid cell elevation and Table XI-2 indicates the grid cell number obtained from the input file 30MGRD01.SR1. Inspection of the elevation values and the corresponding grid cell numbers indicates that surface water flow should be routed downstream to grid cell 73,045 from grid cells 72,096, 72,424, and 71,468 (located in right half of the top row of each table). Inspection of Table XI-3 indicates that the routine has functioned properly because all three cells indicate routing to cell 73,045. The flow accumulation term (Table XI-4) indicates an accumulated flow term of 1,389 for grid cell 73,045. The accumulated flow term in Table XI-4 is checked by adding the number of cells routing to 73,045 to the flow being routed from those grid cells: (3) + (2 + 1,382 + 2). The manual calculation shows that the expected flow routed to 73,045 is 1,389 and this agrees with the value in Table XI-4. This method of manual checking was repeated using the input and output parameters shown in the tables and the output results were found to be in agreement with the expected results, indicating that the functions of CHNNET16 V1.0 were executing correctly and performing the intended operations. Visual inspection of the input and output files (see example printouts below) indicated that the format of the output file is correct and consists of the intended 253,597 rows and 10 columns, with the columns and rows occurring in the correct sequence. The UTM coordinates, grid cell number, and the row and column indices for each line of the output file matches the UTM coordinates, grid cell number, and row and column indices of the corresponding line of the input file, indicating that no unintended modifications were performed by the routine. • List limitations or assumptions to this test case and code in general: The limitations of the developed test case are based on the practical limitations of verifying calculated parameter values for all 253, 597 grid cells included in the output file used for the developed test case. Validation of the entire output file used in the test case was performed as a visual evaluation of raster-based map images produced in TRANSFORM and ARCVIEW. Only a subset of the entire output file could be used for more detailed validation tests that were performed in an EXCEL worksheet. • Electronic files identified by name and location: Electronic files are located on CD-ROM labeled GEOINPUT-2, under the directory CHNNET16, included as an attachment to the AMR. The following electronic files are provided: CHNNET16.CTL: Input file consisting of the input and output file names for CHNNET16 V1.0. CHNNET16.FOR: FORTRAN source code listing for the routine CHNNET16 V1.0. A printout of the source code is included as part of this attachment. CHNNET16.EXE: Executable file for the routine CHNNET16 V1.0, compiled for INTEL processors. 30MGRD01.SR1: Input file consisting of a column-formatted, ASCII text file with 253,597 rows and 53 columns. This file was developed as the output file from SORTGRD1 V1.0 (see Attachment IX). A partial printout of the first part of this file is included as part of this attachment. 30MGRD01.C16: Output file consisting of a column-formatted, ASCII text file with 10 columns and 253,597 rows. The first two columns are the easting and northing coordinates, columns 3 and 4 are the row and column indices. The flow routing parameters consist of the grid cell number (column 5), the boundary cell parameter (column 6), the downstream cell number (column 7), and the flow accumulation term (column 9). CHN16-A.APR: ARCVIEW project file (including all files in associated directories) used to create the raster-based map image of flow accumulation for the area of the net infiltration model (Figure XI-1). The files are used to perform the software routine validation test and are provided as supporting information only. CHN16-B.APR: ARCVIEW project file (including all files in associated directories) used to create the raster-based map image of flow accumulation for the area of the UZ ground water flow model (Figure XI-2). The files are used to perform the software routine validation test and are provided as supporting information only. CHN16-C.APR: ARCVIEW project file (including all files in associated directories) used to create the raster-based map image of flow accumulation for the potential repository area (Figure XI-3). The files are used to perform the software routine validation test and are provided as supporting information only. CHN-ELEV.HDF: TRANSFORM raster-based map image of grid cell elevation obtained from column 8 of the input file 30MGRD01.SR1. The file is used to create Table XI-1 for the software routine validation test and is provided as supporting information. This file is not a part of the routine application. CHN-R1.HDF: TRANSFORM raster-based map image of the first flow routing parameter obtained from column 1 of the input file 30MGRD01.SR1. The file is used to create Table XI-2 for the software routine validation test and is provided as supporting information. This file is not a part of the routine application. CHN-R2.HDF: TRANSFORM raster-based map image of the second flow routing parameter obtained from column 7 of the output file 30MGRD01.C16. The file is used to create Table XI-3 for the software routine validation test and is provided as supporting information. This file is not a part of the routine application. CHN-C16.HDF: TRANSFORM raster-based map image of the flow accumulation term (number of upstream grid cells) obtained from column 8 of the output file 30MGRD01.C16. The file is used to create Table XI-4 for the software routine validation test and is provided as supporting information. This file is not a part of the routine application. 6. Supporting Information. (Include background information, such as revision to a previous routine or macro, or explanation of the steps performed to run the software. Include listings of all electronic files and codes used). • Procedure for running routine: To run the routine CHNNET16 V1.0, the executable file (CHNNET16.EXE), the routine control file (CHNNET16.CTL), and the input file specified in the routine control file (CHNNET16.INP) must be placed in the same directory. The routine is executed by typing CHNNET16 in a DOS window, by double clicking on the file CHNNET16.EXE in the Microsoft Windows operating system, or by typing in the path and filename in the RUN window of the Windows NT or Windows 98 start menu. The input and output file names must be in the correct sequential order as specified in the routine control file (see example listing below). • Example listing of routine control file CHNNET16.CTL chnnet16 test file (7/9/98) (header line) 30mgrd01.sr1 (input file from SORTGRD01 version 1.0) 30mgrd01.c16 (main output file from CHNNET16 version 1.0) 30mgrd01.h16 (auxiliary output file) 30mgrd01.g16 (auxiliary output file) 0 2 (input/output format options, set to 0, 2) • Example listing of the input file 30MGRD01.SR1. The file contains 253,597 lines and 53 columns (only the first 20 lines of the file are listed). The input parameters used by CHNNET16 V1.0 are grid cell number (column 1), grid cell row index (column 6), grid cell column index (column 7), and grid cell elevation (column 8). 1 546191. 4087833. 36.9372 116.4813 1 52 1969. 25 206 5 1 0.20 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 546221. 4087833. 36.9372 116.4810 1 53 1969. 28 147 5 1 0.17 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 546191. 4087803. 36.9370 116.4813 2 52 1959. 23 199 5 1 0.23 201 4 -99 -99 1 0 0 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 4 546161. 4087833. 36.9372 116.4816 1 51 1955. 30 241 5 1 0.14 201 4 -99 -99 0 0 0 0 0 0 0 2 25 22 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 546221. 4087803. 36.9370 116.4810 2 53 1955. 28 140 5 1 0.17 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 6 0 0 8 7 0 0 22 25 6 546191. 4087773. 36.9367 116.4813 3 52 1951. 20 188 5 1 0.27 201 4 -99 -99 1 11 4 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 16 7 546251. 4087833. 36.9372 116.4806 1 54 1950. 36 125 5 1 0.06 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 2 5 3 32 28 0 0 0 0 0 0 0 0 8 546161. 4087803. 36.9370 116.4816 2 51 1949. 27 241 5 1 0.18 201 4 -99 -99 1 0 0 13 13 5 12 2 18 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 9 549311. 4087833. 36.9371 116.4463 1 156 1944. 23 180 5 1 0.23 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 546221. 4087773. 36.9367 116.4810 3 53 1944. 28 134 5 1 0.17 201 4 -99 -99 2 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 2 8 8 13 4 19 22 11 546161. 4087773. 36.9367 116.4816 3 51 1943. 24 237 5 1 0.22 201 4 -99 -99 1 16 6 11 12 5 7 1 14 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 12 546191. 4087743. 36.9364 116.4813 4 52 1942. 20 175 5 1 0.27 201 4 -99 -99 15 11 5 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 15 16 13 546131. 4087833. 36.9372 116.4820 1 50 1939. 33 247 5 1 0.10 201 4 -99 -99 0 0 0 0 0 0 0 3 28 25 10 11 6 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 549281. 4087833. 36.9371 116.4466 1 155 1939. 26 221 5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 549341. 4087833. 36.9371 116.4459 1 157 1939. 26 155 5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 16 546251. 4087803. 36.9370 116.4806 2 54 1938. 35 124 5 1 0.08 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 3 8 5 29 26 12 15 16 15 0 0 18 21 17 546161. 4087743. 36.9364 116.4816 4 51 1937. 23 229 5 1 0.23 201 4 -99 -99 17 18 16 17 9 1 3 1 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 18 546131. 4087803. 36.9370 116.4820 2 50 1933. 33 252 5 1 0.10 201 4 -99 -99 1 0 0 15 14 9 26 20 28 25 7 9 5 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 19 546281. 4087833. 36.9372 116.4803 1 55 1932. 34 130 5 1 0.09 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 8 12 17 16 31 27 0 0 0 0 0 0 0 0 20 549371. 4087833. 36.9371 116.4456 1 158 1932. 27 153 5 1 0.18 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 0 0 0 0 0 0 0 • Example listing of the output file 30MGRD01.C16. The file contains 253, 597 lines and 10 columns (only the first 20 lines of the file are listed). The UTM easting and northing coordinates (columns 1 and 2), the grid cell row and column indices (columns 3 and 4), and the grid cell number (column 5) are identical to the values in the input file. The grid cell number is the first flow routing parameter. Column 6 is the watershed boundary parameter created by CHNNET16, where –3 indicates grid cells on the perimeter of the grid and 0 indicates grid cells on watershed divides (these are grid cells with no upstream cells). Column 7 is the second flow routing parameter and indicates the grid cell number of the downstream cell. Column 9 is the flow accumulation term (number of upstream cells) used to map the stream channel network defined by the 2 flow routing parameters. 546191.0 4087833.0 1 52 546221.0 4087833.0 1 53 546191.0 4087803.0 2 52 546161.0 4087833.0 1 51 546221.0 4087803.0 2 53 546191.0 4087773.0 3 52 546251.0 4087833.0 1 54 546161.0 4087803.0 2 51 549311.0 4087833.0 1 156 546221.0 4087773.0 3 53 546161.0 4087773.0 3 51 546191.0 4087743.0 4 52 546131.0 4087833.0 1 50 549281.0 4087833.0 1 155 549341.0 4087833.0 1 157 546251.0 4087803.0 2 54 546161.0 4087743.0 4 51 546131.0 4087803.0 2 50 546281.0 4087833.0 1 55 549371.0 4087833.0 1 158 1 -3 0 0 0.00000 -1.0 2 -3 0 0 0.00000 -1.0 3 0 11 0 0.00000 -1.0 4 -3 0 0 0.00000 -1.0 5 0 26 0 0.00000 -1.0 6 0 21 0 0.00000 -1.0 7 -3 0 0 0.00000 -1.0 8 0 27 0 0.00000 -1.0 9 -3 0 0 0.00000 -1.0 10 0 43 0 0.00000 -1.0 11 11 32 0 1.00000 -1.0 12 0 33 0 0.00000 -1.0 13 -3 0 0 0.00000 -1.0 14 -3 0 0 0.00000 -1.0 15 -3 0 0 0.00000 -1.0 16 0 52 0 0.00000 -1.0 17 0 41 0 0.00000 -1.0 18 0 57 0 0.00000 -1.0 19 -3 0 0 0.00000 -1.0 20 -3 0 0 0.00000 -1.0 • Figures used as part of the routine test plan: Flow 0 1 -10 10 -100 100 -1,000 1,000 -10,000 > 10,000 Figure XI-1. ARCVIEW map image (project CHN16-A.APR) of the flow accumulation term calculated by CHNNET16 V1.0, indicating the stream channel network for the area of the net infiltration model. Accumulation (number of upstream cells) Flow 0 1 -10 10 -100 100 -1,000 1,000 -10,000 > 10,000 Figure XI-2. ARCVIEW map image (project file CHN16-B.APR) of the flow accumulation term calculated by CHNNET16 V1.0, indicating the stream channel network for the UZ model area. Accumulation (number of upstream cells) Flow 0 1 -10 10 -100 100 -1,000 1,000 -10,000 > 10,000 Figure XI-3. ARCVIEW map image (project file CHN16-C.APR) of the flow accumulation term calculated by CHNNET16 V1.0, indicating the stream channel network for drainages crossing the ESF (elevation contour interval is 10 meters). Accumulation (number of upstream cells) • Tables used as part of the routine test plan: Table XI-1. Grid cell elevation (in meters) obtained from column 8 of the input file 30MGRD01.SR1, showing elevation values for a subset of grid cells located in upper Solitario Canyon (subset was extracted from the TRANSFORM file CHN-ELEV.HDF). UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547181 547211 547241 547271 547301 547331 547361 547391 4079703 1364 1356 1354 1354 1353 1352 1355 1364 4079673 1369 1358 1352 1352 1351 1350 1354 1364 4079643 1371 1362 1354 1350 1349 1348 1353 1362 4079613 1370 1362 1355 1350 1346 1346 1350 1359 4079583 1367 1360 1354 1349 1347 1345 1350 1357 4079553 1363 1357 1351 1347 1345 1345 1348 1356 4079523 1360 1353 1347 1345 1343 1343 1349 1357 4079493 1356 1349 1344 1343 1342 1343 1350 1359 4079463 1352 1345 1341 1341 1341 1343 1349 1358 4079433 1348 1342 1340 1340 1340 1343 1349 1357 4079403 1344 1340 1338 1338 1339 1343 1350 1358 4079373 1341 1338 1337 1337 1339 1343 1351 1358 4079343 1338 1336 1336 1336 1339 1342 1348 1355 4079313 1335 1334 1334 1335 1338 1342 1347 1354 4079283 1334 1332 1333 1334 1337 1341 1348 1355 4079253 1332 1331 1331 1333 1336 1340 1347 1356 4079223 1330 1330 1330 1331 1335 1339 1345 1353 4079193 1329 1328 1329 1330 1334 1338 1344 1352 4079163 1328 1327 1327 1329 1333 1338 1344 1351 4079133 1327 1326 1327 1328 1331 1338 1344 1352 4079103 1326 1325 1326 1328 1332 1338 1345 1352 4079073 1324 1324 1324 1327 1332 1337 1344 1352 4079043 1323 1322 1323 1326 1332 1338 1345 1352 4079013 1321 1321 1322 1327 1333 1340 1346 1353 4078983 1320 1320 1322 1326 1332 1338 1344 1351 4078953 1318 1318 1321 1327 1333 1339 1345 1352 4078923 1316 1317 1320 1328 1335 1342 1349 1356 4078893 1315 1316 1320 1327 1334 1341 1348 1355 4078863 1314 1316 1320 1327 1334 1341 1348 1355 4078833 1314 1316 1321 1328 1336 1343 1350 1357 4078803 1314 1316 1321 1328 1335 1342 1349 1356 4078773 1312 1315 1320 1327 1334 1342 1349 1356 4078743 1311 1315 1320 1329 1336 1342 1349 1355 Table XI-2. Grid cell number (first flow routing parameter) obtained from column 1 of the input file 30MGRD01.SR1, showing grid cell ordering based on elevation (higher elevation cells have lower grid cell numbers) for a subset of grid cells located in upper Solitario Canyon (subset was extracted from the TRANSFORM file CHN-R1.HDF). UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547181 547211 547241 547271 547301 547331 547361 547391 4079703 68664 71180 71778 71779 72096 72424 71468 68665 4079673 67144 70598 72425 72426 72728 73045 71783 68669 4079643 66541 69291 71784 73047 73329 73644 72098 69292 4079613 66855 69293 71477 73049 74293 74294 73050 70284 4079583 67775 69937 71788 73333 73985 74578 73055 70876 4079553 68996 70880 72733 73987 74580 74581 73649 71188 4079523 69941 72107 73988 74584 75219 75220 73337 70882 4079493 71194 73343 74894 75223 75496 75224 73062 70291 4079463 72445 74588 75842 75843 75844 75228 73345 70617 4079433 73657 75500 76185 76186 76187 75231 73347 70887 4079403 74901 76190 76807 76808 76506 75233 73068 70621 4079373 75853 76809 77106 77107 76508 75238 72743 70622 4079343 76812 77434 77435 77436 76511 75510 73665 71493 4079313 77732 78063 78064 77733 76816 75512 73999 71803 4079283 78065 78701 78391 78066 77114 75863 73670 71497 4079253 78703 79040 79041 78397 77444 76200 74003 71201 4079223 79378 79379 79380 79043 77740 76517 74604 72130 4079193 79689 79981 79690 79384 78075 76819 74912 72460 4079163 79983 80299 80300 79693 78402 76822 74913 72751 4079133 80301 80647 80302 79986 79052 76826 74916 72462 4079103 80649 80974 80650 79988 78714 76830 74607 72466 4079073 81303 81304 81305 80307 78715 77123 74921 72469 4079043 81593 81884 81594 80658 78719 76834 74610 72471 4079013 82191 82192 81893 80308 78410 76210 74335 72145 4078983 82516 82517 81896 80662 78721 76839 74929 72767 4078953 83177 83178 82199 80311 78413 76532 74614 72476 4078923 83810 83501 82521 80000 77757 75534 73370 71217 4078893 84144 83813 82522 80318 78096 75879 73694 71514 4078863 84453 83818 82525 80322 78098 75880 73695 71517 4078833 84455 83822 82207 80005 77456 75266 73086 70916 4078803 84457 83828 82209 80008 77760 75537 73377 71223 4078773 85087 84157 82529 80328 78099 75538 73381 71224 4078743 85418 84161 82534 79713 77461 75540 73383 71524 Table XI-3. Downstream grid cell number (second flow routing parameter) obtained from column 7 of the output file 30MGRD01.C16, identifying the grid cell to which flow is being routed to (grid cells are identified by grid cell numbers indicated in Table XI-2) for a subset of grid cells located in upper Solitario Canyon (subset was extracted from the TRANSFORM file CHN-R2.HDF). UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547181 547211 547241 547271 547301 547331 547361 547391 4079703 71180 72425 72426 72728 73045 73045 73045 71783 4079673 71180 72425 73047 73329 73644 73644 73644 72098 4079643 70598 72425 73049 74293 74294 74294 74294 73050 4079613 69937 71788 73333 74293 74578 74578 74578 73055 4079583 70880 72733 73987 74580 74581 74581 74581 73649 4079553 72107 73988 74584 75219 75220 75220 75220 73649 4079523 73343 74894 75223 75496 75496 75496 75224 73649 4079493 74588 75842 75843 75844 75844 75844 75228 73345 4079463 75500 76185 76186 76187 76187 76187 75231 73347 4079433 76190 76807 76808 76808 76808 76506 75233 73347 4079403 76809 77106 77107 77107 77107 76508 75238 73347 4079373 77434 77435 77436 77436 77436 76511 75510 73665 4079343 78063 78064 78064 78064 77733 76816 75512 73999 4079313 78701 78701 78701 78391 78066 77114 75863 73999 4079283 79040 79041 79041 79041 78397 77444 76200 74003 4079253 79379 79380 79380 79380 79043 77740 76517 74604 4079223 79981 79981 79981 79690 79384 78075 76819 74912 4079193 80299 80300 80300 80300 79693 78402 76822 74913 4079163 80647 80647 80647 80302 79986 79052 76826 74916 4079133 80974 80974 80974 80650 79988 79052 76830 74916 4079103 81304 81305 81305 81305 80307 79052 77123 74921 4079073 81884 81884 81884 81594 80658 78719 77123 74921 4079043 82192 82192 82192 81893 80658 78719 77123 74921 4079013 82517 82517 82517 81896 80662 78721 76839 74929 4078983 83178 83178 83178 82199 80662 78721 76839 74929 4078953 83810 83810 83501 82521 80662 78721 76839 74929 4078923 84144 84144 83813 82522 80318 78413 76532 74614 4078893 84453 84453 83818 82525 80322 78098 75880 73695 4078863 84775 84455 83822 82525 80322 78098 75880 73695 4078833 85085 84457 83828 82525 80322 78098 75880 73695 4078803 85415 85087 84157 82529 80328 78099 75538 73381 4078773 85750 85418 84161 82534 80328 78099 75540 73383 4078743 86052 85423 84463 82536 80328 78104 76550 74346 Table XI-4. Flow accumulation term (number of upstream grid cells) obtained from column 9 of the output file 30MGRD01.C16. This parameter is used to identify the stream channel network for a subset of grid cells located in upper Solitario Canyon (subset was extracted from the TRANSFORM file CHN-C16.HDF). UTM northing grid coordinates (meters) UTM easting grid coordinates (meters) 547181 547211 547241 547271 547301 547331 547361 547391 4079703 1 7 22 693 2 1382 2 0 4079673 1 1 11 23 694 1389 1 0 4079643 0 0 0 12 24 2087 1 1 4079613 0 0 0 1 15 2115 2 2 4079583 2 1 1 1 0 2135 3 3 4079553 1 3 2 2 2 2141 57 50 4079523 1 2 4 3 3 2203 0 1 4079493 1 2 3 5 2212 1 0 0 4079463 1 2 3 4 2221 1 1 0 4079433 1 2 3 4 2229 2 11 8 4079403 1 2 3 2239 3 12 0 0 4079373 1 2 3 2248 13 1 0 0 4079343 1 2 3 2267 2 1 1 2 4079313 1 2 2275 3 2 2 36 32 4079283 2 2281 4 3 3 37 0 0 4079253 571 3 2291 4 38 1 1 0 4079223 27 572 2301 39 2 2 1 2 4079193 1 2903 40 3 3 2 3 3 4079163 4 2 2949 4 3 4 4 41 4079133 19 2958 5 4 56 5 43 0 4079103 22 2985 5 57 0 44 0 0 4079073 385 23 3050 1 0 68 65 2 4079043 5 3461 2 72 70 0 0 60 4079013 5 3471 73 0 0 0 0 0 4078983 6 3552 1 46 42 38 34 30 4078953 7 3562 47 0 1 1 1 1 4078923 3578 48 1 0 0 0 0 0 4078893 3636 2 1 1 0 0 0 0 4078863 3649 2 24 20 17 14 11 8 4078833 3 25 0 0 0 0 0 0 4078803 26 1 0 0 0 0 0 0 4078773 2 1 1 6 3 1 1 2 4078743 2 2 7 0 0 2 3 2 • Listing of source code for routine CHNNET16 V1.0: PROGRAM chnnet16 c----------------------------------------------------------------------- real ssl,selev,maxsl,minsl,maxelev,minelev integer nloc,ncell,n2,rown,coln,maxrow,maxcol,nold integer edge,minrow,mincol integer row1,col1,row2,col2 integer iopt,iopt2 real lat,lon real totout2 c double precision x(1190000),y(1190000) integer slp,asp,loc real soild integer rblock(36) c integer row(1190000),col(1190000), 1 soilt,geol,topo c integer iout(0:1204,0:985),iwat(0:1204,0:985) integer locid(0:1204,0:985) real elev(0:1204,0:985),flowout(0:1204,0:985), 1 flowin(0:1204,0:985),totout(0:1204,0:985), 2 run(0:1204,0:985),totin(0:1204,0:985), 4 pond(0:1204,0:985) real elhole,elmin integer irun,nrun integer hole(0:1204,0:985) c character*80 header character*20 infile,chnfile,holefile,gisfile c c 15 format(A) open(unit=7,file='chnnet16.ctl') read(7,15) header read(7,15) infile read(7,15) chnfile read(7,15) holefile read(7,15) gisfile read(7,*) iopt,iopt2 c open(unit=8,file=infile) open(unit=9,file=chnfile) open(unit=10,file=holefile) c version 1.0 c c Routine to calculate the flow routing parameters used as input c to INFIL version 2.0 for the surface water flow module and c also as input to the routine WATSHD20 for extracting watershed c model domains from the geospatial parameter base-grid c defined by 30MSITE.INP. c c CHNNET16 is used to calculate the flow routing parameters c and the flow accumulation term (# of upstream cells) using c digital elevation data (in standard raster grid format) c This routine requires the output from SORTGRD1 as input. c c CHNNET16 was written by Joe Hevesi c U.S. Geological Survey c Placer Hall, 6000 J Street c Sacramento, CA 95819-6129 c if(iopt.eq.1) open(unit=11,file=gisfile) c write(10,15) header c NLOC = 1 SSL = 0. SELEV = 0. MAXSL = -99999. minsl = 99999. MAXELEV = -99999. nmax = 1000 maxrow = -999 maxcol = -999 minrow = 9999 mincol = 9999 ncell = 0 n2 = 0 elold = 999999 nold = 0 c c---- read output from sorting subroutine (SORTGRD1 or GRDSORT7) c 100 if(iopt2.eq.1) then c c------- regional model input from grdsort7 read(8,*,END=130) loc,x(n),y(n),lat,lon,row(n),col(n), 4 el,slp,asp,soilt, 5 soild,geol,topo,vegt,vegc, 6 (rblock(j),j=1,36) c else c c------- site model input from sortgrd1 read(8,*,END=130) loc,x(n),y(n),lat,lon,row(n),col(n), 4 el,slp,asp,soilt,dclass 5 soild,geol,topo,vegt,vegc, 6 (rblock(j),j=1,36) endif locid(row(n),col(n)) = loc elev(row(n),col(n)) = el c c---- option for generating grid files for mapping c if(iopt.eq.1) then write(11,101) x(n),y(n),elev(row(n),col(n)), 1 soilt,soild,geol,topo,vegt,vegc 101 format(1x,2f11.1,f7.0,i4,f7.2,4i40) endif c c if(elev(row(n),col(n)).gt.elold) then write(*,106) n,elev(row(n),col(n)),elold 106 format(1x,'error in sequence: n = ',i8,'elev = ',f8.2, 1 'previous = ',f8.2) stop endif elold = elev(row(n),col(n)) c MINELEV = 99999. C c n = 1 nn = 0 if(row(n).gt.maxrow) maxrow = row(n) if(col(n).gt.maxcol) maxcol = col(n) if(row(n).lt.minrow) minrow = row(n) if(col(n).lt.mincol) mincol = col(n) if(nold.eq.1000) then write(*,107) n,minrow,maxrow,mincol,maxcol,elold 107 format(1x,i8,4i5,f8.0) nold = 0 endif C if(el.eq.-9999.) goto 120 ncell = ncell + 1 if(lon.lt.0) lon = -lon SSL = SSL + slp SELEV = SELEV + ELEV(row(n),col(n)) IF (MAXSL.LE.slp) MAXSL = slp if(minsl.ge.slp) minsl = slp IF (MAXELEV.LE.ELEV(row(n),col(n))) 1 MAXELEV = ELEV(row(n),col(n)) IF (MINELEV.GE.ELEV(row(n),col(n))) 1 MINELEV = ELEV(row(n),col(n)) 120 n = n + 1 GOTO 100 c c 130 n = n-1 rown = maxrow coln = maxcol NLOC = n AVGSL = SSL/ncell AVGELEV = SELEV/ncell C WRITE(*,135) NLOC,ncell,AVGELEV,MAXELEV,MINELEV,AVGSL, 1 maxsl,MINSL WRITE(10,135) NLOC,ncell,AVGELEV,MAXELEV,MINELEV,AVGSL, if(iopt.eq.1) close(11) pause c c---- initialize grid c do 70 i = minrow-1,maxrow+1 do 70 j = mincol-1,maxcol+1 flowout(i,j) = 1. flowin(i,j) = 0. totout(i,j) = 0. totin(i,j) = 0. iwat(i,j) = 0 iout(i,j) = 0 pond(i,j) = -1. run(i,j) = 0. 1 maxsl,MINSL c 135 FORMAT(/1X,'Total number of grid cells = ',I8, 1 /1x,'Total number of valid cells = ',i8, 2 /1X,'AVERAGE ELEVATION OF SAMPLE = ',F8.1, 3 /1X,'MAXIMUM ELEVATION OF SAMPLE = ',F8.1, 4 /1X,'MINIMUM ELEVATION OF SAMPLE = ',F8.1, 5 /1X,'AVERAGE SLOPE OF SAMPLE = ',F8.1, 6 /1X,'MAXIMUM SLOPE OF SAMPLE = ',F8.1, 7 /1x,'MINIMUM SLOPE OF SAMPLE = ',F8.1,//) c C hole(i,j) = 0 if((i.lt.minrow.or.i.gt.maxrow).or. 1 (j.lt.mincol).or.(j.gt.maxcol)) then elev(i,j) = -9999. endif if(elev(i,j).eq.-9999.) iwat(i,j) = -3 70 continue c iter = 0. totout2 = 0. 400 nrun = 0 iter = iter + 1 edge = 1 totflow = 0. niwat = 1 c do 250 i = 1,nloc row1 = row(i) col1 = col(i) c c c ------------- bypass edges of model domain c if(iwat(row1,col1).eq.-3) goto 250 c if(row1.le.minrow.or.row1.ge.maxrow) then iwat(row1,col1) = -3 goto 250 endif if(col1.le.mincol.or.col1.ge.maxcol) then iwat(row1,col1) = -3 goto 250 endif c elmin = elev(row1,col1) iout(row1,col1) = 0 if(iter.gt.1) then c ---------------- start flow routing ------------------c elhole = 9999999. do 230 ir = -1,1 do 230 ic = -1,1 c if(ir.eq.0.and.ic.eq.0) goto 230 if(elhole.gt.elev(row1+ir,col1+ic)) 1 elhole = elev(row1+ir,col1+ic) if((elev(row1+ir,col1+ic).le.elmin).and. 1 (locid(row1,col1).lt.locid(row1+ir,col1+ic)))then if(iout(row1+ir,col1+ic).eq.locid(row1,col1)) 1 goto 230 row2 = row1+ir col2 = col1+ic c flowout(row1,col1) = flowin(row1,col1) totout(row1,col1) = totout(row1,col1) + 1 flowout(row1,col1) flowin(row1,col1) = 0. c endif c c elmin = elev(row2,col2) iout(row1,col1) = locid(row2,col2) endif 230 continue if(iout(row1,col1).ne.0) then c -------------- 20th order hole effect correction c pond(row1,col1) = elhole - elmin ih = 1 245 ih = ih + 1 if(ih.gt.20) goto 285 hole(row1,col1) = ih write(*,247) iter,ih,x(i),y(i),elev(row1,col1), 1 iout(row1,col1),pond(row1,col1) c write(10,247) iter,ih,x(i),y(i),elev(row1,col1), 2 iout(row1,col1),pond(row1,col1) 247 format(2i4,3f11.1,i5,f12.2) c c do 260 ir = -ih,ih do 260 ic = -ih,ih if(((ir.le.ih-1).and.(ir.ge.-(ih-1))) 1 .and.((ic.le.ih-1).and.(ic.ge.-(ih-1)))) goto 260 if(elhole.gt.elev(row1+ir,col1+ic)) 1 elhole = elev(row1+ir,col1+ic) if(elev(row1+ir,col1+ic).le.elmin) then if((iout(row1+ir,col1+ic).ne.locid(row1,col1)) 1 .and.(locid(row1+ir,col1+ic).gt. 2 locid(row1,col1))) then row2 = row1+ir col2 = col1+ic elmin = elev(row2,col2) iout(row1,col1) = locid(row2,col2) endif endif 260 continue c if(iout(row1,col1).eq.0) goto 245 c flowin(row2,col2) = 1 flowout(row1,col1) + flowin(row2,col2) run(row2,col2) = flowin(row2,col2) if(iwat(row2,col2).eq.0) 1 iwat(row2,col2) = locid(row2,col2) c endif c c --------------------------------------------------- flowin(row2,col2) = flowout(row1,col1) 1 + flowin(row2,col2) run(row2,col2) = flowin(row2,col2) if(iwat(row2,col2).eq.0) 1 iwat(row2,col2) = locid(row2,col2) C else c c------ calculate total outflow c totout2 = 0. do 550 i = 1,nloc if(iwat(row(i),col(i)).ne.-3) goto 550 flowout(row(i),col(i)) = 1 flowout(row(i),col(i)) + flowin(row(i),col(i)) flowin(row(i),col(i)) = 0. totout2 = totout2 + flowout(row(i),col(i)) 550 continue c c------------- hole effect bypass c if(iter.gt.30) goto 500 c c ----------- continue iteration if exces ppt still exists c up to maximum iteration of 30 c if(nrun.gt.0) then WRITE(10,*) ITER,NRUN,TOTOUT2 goto 400 endif 500 continue c do i = 1,nloc write(9,705) x(i),y(i),row(i),col(i),locid(row(i),col(i)), 1 iwat(row(i),col(i)),iout(row(i),col(i)), 2 hole(row(i),col(i)),totout(row(i),col(i)), 3 pond(row(i),col(i)) 705 format(1x,2f11.1,1x,2i4,3i8,i5,g14.6,f7.1) c enddo close(8) close(9) stop end c============================================ c 285 continue totflow = totflow + flowout(row1,col1) c if(flowout(row1,col1).gt.0.) then irun = 1 else irun = 0 endif nrun = nrun + irun c 250 continue c c ATTACHMENT XIIDEVELOPMENT OF GEOSPATIAL INPUT PARAMETERS USING VEGCOV01 V1.0 TOTAL PAGES: 9 Development of Geospatial Input Parameters using VEGCOV01 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: VEGCOV01 V1.0, OS and hardware environment: Windows NT 4.0, Pentium Pro PC Computer Identification: SM321276 with a USGS specific host-name P720dcasr Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for VEGCOV01 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 5.0. 3. General Description of routine/macro: VEGCOV01 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically for the analysis/model activity documented in this AMR. The routine source code (VEGCOV01.FOR), compiled executable file (VEGCOV01.EXE), routine control file (VEGCOV01.CTL), input and output files used for routine validation, supplemental files created as part of validation testing, and a copy of this attachment, are located under the directory VEGCOV01 on a CD-ROM labeled GEOINPUT-2. The routine source code, control file, and the input and output files are ASCII text files that can be read using any standard ASCII text editor and can be imported into standard word processing applications such as Microsoft Word. The executable file can be used to run VEGCOV01 V1.0 on any PC with an INTEL processor (with adequate RAM). 4. Test plan for the software routine VEGCOV01 V1.0: • Explain whether this is a routine or macro and describe what it does: The software routine, VEGCOV01 V1.0, is used in the development of the geospatial parameter input files for INFIL 2.0. The routine changes the saturated hydraulic conductivity of the Yucca Mountain Tuff of the Paintbrush Group (rock type 324). The different saturated hydraulic conductivity is assigned if the exposed Yucca Mountain Tuff is north of 4082606.93 m (rock type 309 is assigned) or south of 4079955.91 m north (rock type 308 is assigned) on Yucca Mountain. The functions of VEGCOV01 V1.0 are executed using a single routine control file named VEGCOV01.CTL. The file defines the input and output file names. • Listing of Control File (VEGCOV01.CTL) vegcov01.ctl (header line) 30mgrd01.sr1 (primary input file) vegtyp01.xyz (auxiliary input file) 30mgrd04.sr1 (output file) 0 0 (control options set to 0, 0) • Example listing of input file 30MGRD01.SR1 (only the first 20 lines of the file are shown): 1 546191. 4087833. 36.9372 116.4813 1 52 1969. 25 206 5 1 0.20 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 546221. 4087833. 36.9372 116.4810 1 53 1969. 28 147 5 1 0.17 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 546191. 4087803. 36.9370 116.4813 2 52 1959. 23 199 5 1 0.23 201 4 -99 -99 1 0 0 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 4 546161. 4087833. 36.9372 116.4816 1 51 1955. 30 241 5 1 0.14 201 4 -99 -99 0 0 0 0 0 0 0 2 25 22 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 546221. 4087803. 36.9370 116.4810 2 53 1955. 28 140 5 1 0.17 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 6 0 0 8 7 0 0 22 25 6 546191. 4087773. 36.9367 116.4813 3 52 1951. 20 188 5 1 0.27 201 4 -99 -99 1 11 4 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 16 7 546251. 4087833. 36.9372 116.4806 1 54 1950. 36 125 5 1 0.06 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 2 5 3 32 28 0 0 0 0 0 0 0 0 8 546161. 4087803. 36.9370 116.4816 2 51 1949. 27 241 5 1 0.18 201 4 -99 -99 1 0 0 13 13 5 12 2 18 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 9 549311. 4087833. 36.9371 116.4463 1 156 1944. 23 180 5 1 0.23 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 546221. 4087773. 36.9367 116.4810 3 53 1944. 28 134 5 1 0.17 201 4 -99 -99 2 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 2 8 8 13 4 19 22 11 546161. 4087773. 36.9367 116.4816 3 51 1943. 24 237 5 1 0.22 201 4 -99 -99 1 16 6 11 12 5 7 1 14 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 12 546191. 4087743. 36.9364 116.4813 4 52 1942. 20 175 5 1 0.27 201 4 -99 -99 15 11 5 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 15 16 13 546131. 4087833. 36.9372 116.4820 1 50 1939. 33 247 5 1 0.10 201 4 -99 -99 0 0 0 0 0 0 0 3 28 25 10 11 6 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 549281. 4087833. 36.9371 116.4466 1 155 1939. 26 221 5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 549341. 4087833. 36.9371 116.4459 1 157 1939. 26 155 5 1 0.19 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 16 546251. 4087803. 36.9370 116.4806 2 54 1938. 35 124 5 1 0.08 201 4 -99 -99 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 3 8 5 29 26 12 15 16 15 0 0 18 21 17 546161. 4087743. 36.9364 116.4816 4 51 1937. 23 229 5 1 0.23 201 4 -99 -99 17 18 16 17 9 1 3 1 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 18 546131. 4087803. 36.9370 116.4820 2 50 1933. 33 252 5 1 0.10 201 4 -99 -99 1 0 0 15 14 9 26 20 28 25 7 9 5 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 19 546281. 4087833. 36.9372 116.4803 1 55 1932. 34 130 5 1 0.09 201 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 8 12 17 16 31 27 0 0 0 0 0 0 0 0 20 549371. 4087833. 36.9371 116.4456 1 158 1932. 27 153 5 1 0.18 206 4 -99 -99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 0 0 0 0 0 0 0 • Example listing of output file 30MGRD04.SR1 (only the first 20 lines of the file are shown): 1 546191. 4087833. 36.9372 116.4813 1 52 1969. 25 206 5 1 0.20 201 4 4 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 546221. 4087833. 36.9372 116.4810 1 53 1969. 28 147 5 1 0.17 201 4 4 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 546191. 4087803. 36.9370 116.4813 2 52 1959. 23 199 5 1 0.23 201 4 4 30 1 0 0 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 4 546161. 4087833. 36.9372 116.4816 1 51 1955. 30 241 5 1 0.14 201 4 4 30 0 0 0 0 0 0 0 2 25 22 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 546221. 4087803. 36.9370 116.4810 2 53 1955. 28 140 5 1 0.17 201 4 4 30 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 6 0 0 8 7 0 0 22 25 6 546191. 4087773. 36.9367 116.4813 3 52 1951. 20 188 5 1 0.27 201 4 4 30 1 11 4 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 16 7 546251. 4087833. 36.9372 116.4806 1 54 1950. 36 125 5 1 0.06 201 4 4 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 2 5 3 32 28 0 0 0 0 0 0 0 0 8 546161. 4087803. 36.9370 116.4816 2 51 1949. 27 241 5 1 0.18 201 4 4 30 1 0 0 13 13 5 12 2 18 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 9 549311. 4087833. 36.9371 116.4463 1 156 1944. 23 180 5 1 0.23 206 4 10 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 546221. 4087773. 36.9367 116.4810 3 53 1944. 28 134 5 1 0.17 201 4 4 30 2 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 2 8 8 13 4 19 22 11 546161. 4087773. 36.9367 116.4816 3 51 1943. 24 237 5 1 0.22 201 4 4 30 1 16 6 11 12 5 7 1 14 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 12 546191. 4087743. 36.9364 116.4813 4 52 1942. 20 175 5 1 0.27 201 4 4 30 15 11 5 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 15 16 13 546131. 4087833. 36.9372 116.4820 1 50 1939. 33 247 5 1 0.10 201 4 4 30 0 0 0 0 0 0 0 3 28 25 10 11 6 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 549281. 4087833. 36.9371 116.4466 1 155 1939. 26 221 5 1 0.19 206 4 10 30 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 549341. 4087833. 36.9371 116.4459 1 157 1939. 26 155 5 1 0.19 206 4 10 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 16 546251. 4087803. 36.9370 116.4806 2 54 1938. 35 124 5 1 0.08 201 4 4 30 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 3 8 5 29 26 12 15 16 15 0 0 18 21 17 546161. 4087743. 36.9364 116.4816 4 51 1937. 23 229 5 1 0.23 201 4 4 30 17 18 16 17 9 1 3 1 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 18 546131. 4087803. 36.9370 116.4820 2 50 1933. 33 252 5 1 0.10 201 4 4 30 1 0 0 15 14 9 26 20 28 25 7 9 5 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 19 546281. 4087833. 36.9372 116.4803 1 55 1932. 34 130 5 1 0.09 201 4 4 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 8 12 17 16 31 27 0 0 0 0 0 0 0 0 20 549371. 4087833. 36.9371 116.4456 1 158 1932. 27 153 5 1 0.18 206 4 10 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 0 0 0 0 0 0 0 • Listing of FORTRAN77 Source code: A listing of the FORTRAN77 source code for the routine VEGCOV01 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: To evaluate the accuracy of the functions performed by the routine, it is necessary to perform a visual inspection of the input file 30MGRD01.SR1 for rock type 324 and verify that the rock type was changed in file 30MGRD04.SR1 to 309 if the grid block location is north of northing 4082606.93 m and changed to rock type 308 if the grid block location is south of 4079955.91 m. Extractions of the input file and output file will be imported into EXCEL and it will be determined visually that the criteria are met. • Specify the range of input values to be used and why the range is valid: The input values used are those grid block locations for which the original map unit rock type is 324. 5. Test Results • Output from test (explain difference between input range used and possible input): The acceptance criteria for the testing of VEGCOV01 is that the rock type 324 is changed in the output file to 309 if the grid block location is north of northing 4082606.93 m and changed to rock type 308 if the grid block location is south of 4079955.91 m. • Description of how the testing shows that the results are correct for the specified input: If the testing results in output that conforms to the above criteria then the results are correct acceptable. • List limitations or assumptions to this test case and code in general: The test case is limited to geospatial input rock type 324. • Electronic files identified by name and location: The following electronic files including VEGCOV01 V1.0 and selected input and output files are provided: VEGCOV01.CTL: Control file used for specifying input and output files. A printout of the control file is included as part of this attachment. VEGCOV01.FOR: FORTRAN source code listing for the routine VEGCOV01. A printout of the source code is included as part of this attachment. VEGCOV01.EXE: Executable file for the routine VEGCOV01, compiled for INTEL processors. Input file for test case: 30MGRD01.SR1 Output file for test case: 30MGRD04.SR1 6. Results from test case The data in the input file and output file for VEGCOV01 was extracted to shown an example for rock type 324 in Table XII-1. The top 12 rows illustrate the input file with rock type ID 324 for a series of grid block locations, all of which are north of northing 4082606.93, and all of which indicate that the 324 was replaced with rock type 309 in the output file. The center series of 12 rows indicate that no change was made to rock type 324 between northings 4082606.93 and 4079955.91. The bottom four rows indicate that rock type 324 that occurred in grid blocks located south of 4079955.91 are replaced with rock type 308. These results confirm that the routine performs as required and meets the acceptance criteria. Table XII-1. Comparison of extracted data from 30MGRD01.SR1, the input file to VEGCOV01 and 30MGRD04.SR1, the output file from VEGCOV01. 30MGRD01.SR1 Input file 30MGRD04.SR1 Output file UTM UTM UTM UTM Grid Block Grid Block Easting Northing Rock Type Easting Northing Rock Type ID IDID ID (meters) (meters) (meters) (meters) 43261 548381 4082973 324 43261 548381 4082973 309 16087 547271 4082973 324 16087 547271 4082973 17672 547241 4082973 324 18807 547151 4082973 324 17415 547121 4082973 324 16755 547091 4082973 324 17414 547061 4082973 324 18534 547031 4082973 324 15438 546731 4082973 324 14420 546701 4082973 324 13723 546671 4082973 324 13053 546641 4082973 324 12309 546611 4082973 324 309 17672 547241 4082973 309 18807 547151 4082973 309 17415 547121 4082973 309 16755 547091 4082973 309 17414 547061 4082973 309 18534 547031 4082973 309 15438 546731 4082973 309 14420 546701 4082973 309 13723 546671 4082973 309 13053 546641 4082973 309 12309 546611 4082973 309 46561 548441 4082583 324 24597 547361 4082583 324 25276 547331 4082583 324 26423 547301 4082583 324 23915 547121 4082583 324 22019 547091 4082583 324 14798 546941 4082583 324 14434 546911 4082583 324 14081 546881 4082583 324 13502 546851 4082583 324 12949 546821 4082583 324 12194 546791 4082583 324 49421 548471 4082553 324 46561 548441 4082583 324 24597 547361 4082583 324 25276 547331 4082583 324 26423 547301 4082583 324 23915 547121 4082583 324 22019 547091 4082583 324 14798 546941 4082583 324 14434 546911 4082583 324 14081 546881 4082583 324 13502 546851 4082583 324 12949 546821 4082583 324 12194 546791 4082583 324 49421 548471 4082553 324 61457 547421 4077843 324 61467 547391 4077633 324 61469 547361 4077543 324 59675 547361 4077513 324 61457 547421 4077843 308 61467 547391 4077633 308 61469 547361 4077543 308 59675 547361 4077513 308 7. Listing of source code for VEGCOV01 V1.0 c----- simple veg cover model: cover = 30% if(imod.eq.0) then vegc = 30 else if(depth.le.0.4) 1 vegc = int((0.5*depth + 0.05)*100) if(depth.gt.0.4.and.depth.le.2.4) program vegcov01 c c Program to fix problem in defining hydro properties c for Day et al TPY unit 24 (Yucca Mt Tuff). New properties c assigned according to northing position. This model, c which applies only to TPY, was developed by Lorrie Flint c on 7/17/98 c c This program also provides estimates of plant cover based c on soil thickness for upland areasslope (steeper slopes assumed to have less plants), c aspect (north facing slopes assumed to have more plants), c and geology (colluvium/alluvium assumed to have more plants) c integer rocktype,soiltype,depthclass,topoid,imod,irock integer vegt,vegc,slp,asp,row,col real slope,aspect,elev real x,y,depth real x2(300000),y2(300000),vegtyp(300000) real lat,lon real ridge(40) integer block(40) c character*20 sortfile,outfile,vegtype character*80 header c 5 format(A) open(unit=7,file='vegcov01.ctl') read(7,5) header read(7,5) sortfile read(7,5) vegtype read(7,5) outfile read(7,*) imod, irock c open(unit=8,file=sortfile) open(unit=9,file=outfile) open(unit=10,file=vegtype) c n = 1 50 read(10,*,end=100) x2(n),y2(n),vegtyp(n) n=n+1 goto 50 100 n = n-1 pause c n2 = 0 200 read(8,*,end=900) locid,x,y,lat,lon, 1 row,col,elev,slp,asp,soiltype,depthclass, 2 depth,rocktype,topoid, 3 vegt,vegc,(block(j), j=1,36) c c 1 vegc = int((0.05*depth + 0.23)*100) if(depth.gt.2.4) 1 vegc = 35 vegc = int(((elev-1200)/1000)*vegc + vegc) endif c c c c----- TPY correction by Lorrie Flint c if(irock.eq.1) then if(rocktype.eq.324) then if(y.ge.4082606.93) then rocktype = 309 else if (y.lt.4079955.91) then rocktype = 308 endif endif endif c c----- use regional vegtypes for Yucca Mountain c if(imod.eq.2) then do i = 1,n if((x.lt.x2(i)+10.and.x.gt.x2(i)-10).and. 1 (y.lt.y2(i)+10.and.y.gt.y2(i)-10)) then vegt = vegtyp(i) endif enddo endif c c WRITE(9,711) locid,x,y,lat,lon, 1 row,col,elev,slp,asp,soiltype,depthclass, 2 depth,rocktype,topoid, 3 vegt,vegc,(block(j), j=1,36) c 711 FORMAT(1X,i8,2f10.0,2f9.4,2i5,F7.0,3i4,i3,f7.2,4i4, 1 36i3) c if(n2.eq.1000) then write(*,*) locid, n2 n2 = 0 endif n2 = n2 + 1 goto 200 c c c 900 continue close(9) stop end ATTACHMENT XIIIEXTRACTION OF WATERSHED MODELING DOMAINS USING WATSHD20 V1.0 TOTAL PAGES: 28 Extraction of Watershed Modeling Domains using WATSHD20 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: WATSHD20 V1.0, OS and hardware environment: Windows NT 4.0, Pentium Pro PC Computer Identification: SM321276 with a USGS specific host-name P720dcasr Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for WATSHD20 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 5.0. 3. General Description of routine/macro: WATSHD20 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically for the analysis/model activity documented in this AMR. The routine source code (WATSHD20.FOR), compiled executable file (WATSHD20.EXE), routine control file (WATSHD20.CTL), input and output files, validation test files, and a copy of this attachment, are located under the directory WATSHD20 on a CD-ROM labeled GEOINPUT-2. The routine source code, control file, and the input and output files are ASCII text files that can be read using any standard ASCII text editor and can be imported into standard word processing or spreadsheet applications such as Microsoft WORD and EXCEL. The executable file can be used to run WATSHD20 V1.0 on any PC with an INTEL processor (with adequate RAM). The output developed by WATSHD20 V1.0 is required for the development of the geospatial parameter input file for INFIL V2.0. The output files created by WATSHD20 are used directly as input to the program INFIL V2.0. 4. Test plan for the software routine WATSHD20 V1.0: • Explain whether this is a routine or macro and describe what it does: WATSHD20 V1.0 is the final routine applied in a sequence of FORTRAN 77 routines that are used in the development of the geospatial parameter input files for INFIL V2.0. The first function performed by WATSHD20 is the extraction of a watershed model domain based on the surface water flow routing parameters obtained from the input file 30MGRD01.C16 and the specified easting and northing coordinates of the grid cell for which the upstream area is being extracted. The grid cell coordinates are supplied as input in the routine control file and are selected based on the flow accumulation term included in the file 30MGRD01.C16. A second function performed by WATSHD20 V1.0 is the transfer of the flow routing terms from the input file (30MGRD01.SR1) to the output file defining the watershed being modeled. This includes the second flow routing term (the downstream grid cell number) and the flow accumulation term calculated by CHNNET16. WATSHD20 modifies the second flow routing term, which is the downstream grid cell number, by identifying the perimeter grid cells surrounding the active cells for the extracted watershed model area and assigning these cells a downstream grid cell number of –3. If the grid cells have already been assigned a value of –3 in column 6 of 30MGRD01.C16 (these are the edges of the base-grid), the –3 value is carried over by WATSHD20 as the downstream cell number. The –3 values are used for identifying the perimeter grid cells, which are on the outer side of the surface water flow divide defining the active cells in the watershed model domain. The perimeter cells can rout to other perimeter cells, but cannot rout to the active watershed cells. • Listing of FORTRAN77 Source code: A listing of the FORTRAN77 source code for the routine WATSHD20 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: A validation test of the functions performed by the routine was conducted by a visual evaluation of the extracted watershed area with the topography defined by the elevation values. Using applications in ARCVIEW the map image of the extracted watershed area and the flow accumulation term is superimposed with a contour or shaded relief image of the topography to provide a method of testing that the routine has functioned correctly. The test criteria used in the visual evaluation consists of verifying that the extracted active model grid cells included in the output file created by WATSHD20 define an area that is completely bounded by surface water flow divides, with the exception of the grid cell defining the watershed outflow location. The grid cells defining the watershed perimeter must all have values of –3 for the downstream grid cell parameter, and the watershed perimeter cells must completely enclose the active model cells. The grid cell defining the watershed outflow location is specified in the routine control file, and the total number of active cells in the watershed model domain must equal 1 plus the number of cells upstream from the cell defining the watershed outflow location. The total number of lines or cells included in the output file must be equal to the number of active cells plus the number of perimeters cells. Additional test criteria are similar to those applied in the testplan for CHNNET16 V1.0. The flow accumulation term is used to visualize the surface water routing network within the extracted watershed area, which in turn provides a method of testing the calculated flow routing parameters. The fow accumulation term must agree with the expected channel network defined by the topography (within the limitations of the standard D8 routing algorithm). Major stream channels consisting of hundreds or thousands of upstream cells must occur along the bottom of washes and not along ridgetops. The flow accumulation term must systematically increase in the downstream direction (up-hill flow cannot occur). The flow accumulation term must systematically increase with a decrease in elevation, but cannot become greater than the sum of all contributing upstream grid cells. All flow routing must be convergent and cannot terminate unless a major sink is reached. All cells can only rout to one cell (divergent flow is not allowed). An additional test performed as part of the routine validation is an inspection of the output file containing the flow routing parameters. The criteria of the test is that the output file must be in the proper format with the correct number and sequencing of 55 columns. The number of rows is equal to the total number of grid cells used to define the watershed model domain, including both the active model cells and the inactive perimeter cells that are used to define the watershed boundary. • Specify the range of input values to be used and why the range is valid: The input range is completely determined by the parameters in the files 30MGRD04.SR1 and 30MGRD01.C16 because this is the only source of input provided to the routine. The files are specified in the file WATSHD20.CTL, which is the routine control file for WATSHD20 and is required for the execution of the routine. 30MGRD04.SR1 is a column-formatted ASCII file consisting of 253,597 rows and 53 columns (see Attachment XII). 30MGRD01.C16 is a column formatted ASCII file consisting of 253, 597 rows and 10 columns. For the parameters used by the routine, the input ranges are specified by the following: 30MGRD01.C16 is the main input file used by WATSHD20 V1.0. Parameters in the first 9 columns provided by 30MGRD01.C16 are used as input by functions in WATSHD20 V1.0: 1. Grid cell easting coordinate (column 1) 2. Grid cell northing coordinate (column 2) 3. Grid cell row index (column 3, integers from 1 to 691) 4. Grid cell column index (column 4, integers from 1 to 367) 5. Grid cell number (column 5, integers from 1 to 253,597) 6. Perimeter grid cell identifier (column 6, integers from –3 to 253,597) 7. The downstream grid cell number (column 7, integers from 1 to 253,597) 8. Index for identifying grid cells in depressions (column 8, integers from 0 to 20) 9. The flow accumulation term (column 9, integers from 0 to 155,471) The input range provided by the input file 30MGRD01.C16 is valid because the values were obtained from ARCINFO using the source data as input (see Attachment VI for description of source data used for 30MSITE.INP) and a sequence of applied software routines described in Attachments VI through XII of this AMR. All Parameters provided as input from the file 30MGRD04.SR1 are transferred to the output file. WATSHD20 does not modify any of the 53 input columns provided by 30MGRD04.SR1. 5. Test Results. • Output from test: The output for the test case is the main output file WT2.W20 generated by WATSHD20 V1.0. The output file is used to generate raster-format map image files in TRANSFORM and ARCVIEW which are used only as a part of the validation test plan. • Description of how the testing shows that the results are correct for the specified input: The ARCVIEW map image (Figure XIII-1) of the main output file used for the test plan (file WT2.W20) shows that the correct watershed area has been extracted from the input file (30MGRD04.SR1) based on the comparison of the 3,142 extracted cells with the topography. For example, the map image shows that the area has been correctly defined by the surface water flow divides (the ridgetop locations) and that there is only one outflow point for the watershed, which is defined by the easting and northing coordinates specified in the control file. There is no inflow of water to the area defined by the extracted file, and with the exception of the one grid cell defining the watershed outflow location, there is no other outflow from the watershed area. This visual comparison of the test watershed area with the topography satisfies the test criteria and indicates that the routine has function correctly. The TRANSFORM map image (Figure XIII-2) of elevation for the grid cells included in the output file shows that the elevations of all grid cells upstream of the outflow cell specified in the control file have higher elevations than the outflow cell. The only exception to this are the inactive perimeter cells downstream of the specified outflow cell. The TRANSFORM map image (Figure XIII-3) of the 2nd flow routing parameter (the downstream cell number) indicates that the 282 perimeter cells have been correctly identified by WATSHD20. The perimeter cells completely enclose the active model cells, and with the exception of the one grid cell downstream from the outflow cell identified in the control file, all perimeter cells are along surface water flow divides. These results indicate that the test criteria for WATSHD20 have been met and the routine is functioning correctly. The TRANSFORM map image (Figure XIII-4) of the flow accumulation term indicates that the number of upstream cells for the identified outflow cell (2,859) matches the total number of active grid cells extracted by WATSHD20, minus 1 for the outflow cell which is itself an active model cell. These results were verified in the EXCEL worksheet file WT2-W20.XLS included as part of the supporting information. The worksheet was also used to verify that the total number of grid cells in WT2.W20 equals the 2,860 active cells plus the 282 perimeter cells. The TRANSFORM map images Figures 5 and 6 of the flow accumulation term indicates that surface water flow is being routed correctly within the watershed. All flow is convergent and is routed towards the watershed outflow location. Major stream channels consisting of hundreds or thousands of upstream cells occur along the bottom of washes and not along ridgetops. The flow accumulation term systematically increase in the downstream direction (up-hill flow doe not occur). The flow accumulation term systematically increase with a decrease in elevation, but cannot does not become greater than the sum of all contributing upstream grid cells. These results indicate that the test criteria for WATSHD20 have been met and the routine is functioning correctly. Visual comparison of the input and output files indicates the correct format and ordering of columns for the output file (see example printouts included under supporting information). The output file has 55 columns, the first flow routing parameter is in column 1, and the 2nd flow routing parameter and the flow accumulation term have been correctly added as columns 8 and 9. Inspection of the last 20 lines of the output file WT2.W20 (see printout provided under supporting information) indicates that the fifth to last line (hi-lighted in red) is the watershed outflow cell identified in the control file with the coordinates 549,671 easting, 4,076,913 northing. The grid cell has 2,859 upstream cells (indicated in column 9) and routs surface water to cell number 121,694 (indicated in column 8), which is the grid cell identified by the last line of the file. Values of –3 in column 8 identify perimeter cells that are used only to define the boundary of the watershed. The seventh to last line (hi-lighted in blue) is the one grid cell upstream of the watershed outflow cell, and has 2,858 upstream cells. These results indicate that WATSHD20 correctly performed the intended modifications to the 2nd flow routing term and that the watershed outflow location is correctly defined. No unintended modifications occurred to input parameters obtained from 30MGRD04.SR1, and thus all test criteria are satisfied. • List limitations or assumptions to this test case and code in general: The limitations of the developed test case are based on the practical limitations of verifying calculated parameter values for all 253, 597 grid cells included in the output file used for the developed test case. Validation of the entire output file used in the test case was performed as a visual evaluation of raster-based map images produced in TRANSFORM and ARCVIEW. • Electronic files identified by name and location: Electronic files are located on CD-ROM labeled GEOINPUT-2, under the directory WATSHD20, included as an attachment to the AMR. The following electronic files are provided: WATSHD20.CTL: Input file consisting of the input and output file names for WATSHD20 V1.0. WATSHD20.FOR: FORTRAN source code listing for the routine WATSHD20 V1.0. A printout of the source code is included as part of this attachment. WATSHD20.EXE: Executable file for the routine WATSHD20 V1.0, compiled for INTEL processors. 30MGRD04.SR1: Input file consisting of a column-formatted, ASCII text file with 253,597 rows and 53 columns. This file was developed as the output file from VEGCOV01 V1.0 (see Attachment VII). A partial printout of the first part of this file is included as part of this attachment. 30MGRD01.C16: Input file consisting of a column-formatted, ASCII text file with 10 columns and 253,597 rows. This file contains all flow routing parameters developed by SORTGRD1 and CHNNET16 that are used by WATSHD20 to extract watershed model domains. WT2-W20.APR: ARCVIEW project file (including all files in associated directories) used to create the raster-based map image (Figure XIII-1) of the extracted watershed area using the output from the test case (the test file WT2.W20). WT2-ELEV.HDF: TRANSFORM map image of elevation for the grid cells in the test file WT2.W20, used to visually evaluate the extracted watershed area. The file is used to create Figure XIII-2 for the software routine validation test and is provided as supporting information. This file is not a part of the routine application. WT2-8.HDF: TRANSFORM map image of the 2nd flow routing parameter (downstream cell number) obtained from the output file WT2.W20. The file is used to create Figure XIII-3 for the software routine validation test and is provided as supporting information. This file is not a part of the routine application. WT2-9.HDF: TRANSFORM map image of the flow accumulation term obtained from WT2.W20. The file is used to create Figure XIII-4 for the software routine validation test and is provided as supporting information. This file is not a part of the routine application. WT2-9B.HDF: TRANSFORM map image of the flow accumulation term obtained from WT2.W20. The file is used to create Figure XIII-5 for the software routine validation test and is provided as supporting information. This file is not a part of the routine application. WT2-9C.HDF: TRANSFORM map image of the flow accumulation term obtained from WT2.W20. The file is used to create Figure XIII-6 for the software routine validation test and is provided as supporting information. This file is not a part of the routine application. WT2-W20.XLS: EXCEL worksheet used to check the number of upstream cells defined by the flow accumulation term for the watershed outflow cell against the total number of active cells extracted. The worksheet is also used to check that the total number of lines in the output file is equal to the number of active cells plus the number of perimeter cells. This file is not a part of the routine application. 6. Supporting Information. (Include background information, such as revision to a previous routine or macro, or explanation of the steps performed to run the software. Include listings of all electronic files and codes used). • Procedure for running routine: To run the routine WATSHD20 V1.0, the executable file (WATSHD20.EXE), the routine control file (WATSHD20.CTL), and the input file specified in the routine control file (WATSHD20.INP) must be placed in the same directory. The routine is executed by typing WATSHD20 in a DOS window, by double clicking on the file WATSHD20.EXE in the Microsoft Windows operating system, or by typing in the path and filename in the RUN window of the Windows NT or Windows 98 start menu. The input and output file names must be in the correct sequential order as specified in the routine control file (see example listing below). • Example listing of routine control file WATSHD20.CTL watshd20: WT-2 Wash, 2859 active cells, new model parameters (7/26/98) 30mgrd04.sr1 (input file from VEGCOV01) 30mgrd01.c16 (input file from CHNNET16) wt2.w20 (main output file) wt2.o20 (auxiliary output file) wt2.h20 (auxiliary output file) wt2.b20 (auxiliary output file) wt2.d20 (auxiliary output file) 549671.0 4076913.0 (specified watershed discharge point) 0 1 • Example listing of the input file 30MGRD04.SR1. The file contains 253,597 lines and 53 columns (only the first 20 lines of the file are listed). 1 546191. 4087833. 36.9372 116.4813 1 52 1969. 25 206 5 1 0.20 201 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 546221. 4087833. 36.9372 116.4810 1 53 1969. 28 147 5 1 0.17 201 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 546191. 4087803. 36.9370 116.4813 2 52 1959. 23 199 5 1 0.23 201 4 -99 30 1 0 0 7 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 4 546161. 4087833. 36.9372 116.4816 1 51 1955. 30 241 5 1 0.14 201 4 -99 30 0 0 0 0 0 0 0 2 25 22 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 546221. 4087803. 36.9370 116.4810 2 53 1955. 28 140 5 1 0.17 201 4 -99 30 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 6 0 0 8 7 0 0 22 25 6 546191. 4087773. 36.9367 116.4813 3 52 1951. 20 188 5 1 0.27 201 4 -99 30 1 11 4 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 16 7 546251. 4087833. 36.9372 116.4806 1 54 1950. 36 125 5 1 0.06 201 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 2 5 3 32 28 0 0 0 0 0 0 0 0 8 546161. 4087803. 36.9370 116.4816 2 51 1949. 27 241 5 1 0.18 201 4 -99 30 1 0 0 13 13 5 12 2 18 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 9 549311. 4087833. 36.9371 116.4463 1 156 1944. 23 180 5 1 0.23 206 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 546221. 4087773. 36.9367 116.4810 3 53 1944. 28 134 5 1 0.17 201 4 -99 30 2 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 2 8 8 13 4 19 22 11 546161. 4087773. 36.9367 116.4816 3 51 1943. 24 237 5 1 0.22 201 4 -99 30 1 16 6 11 12 5 7 1 14 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 12 546191. 4087743. 36.9364 116.4813 4 52 1942. 20 175 5 1 0.27 201 4 -99 30 15 11 5 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 15 16 13 546131. 4087833. 36.9372 116.4820 1 50 1939. 33 247 5 1 0.10 201 4 -99 30 0 0 0 0 0 0 0 3 28 25 10 11 6 6 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 549281. 4087833. 36.9371 116.4466 1 155 1939. 26 221 5 1 0.19 206 4 -99 30 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 549341. 4087833. 36.9371 116.4459 1 157 1939. 26 155 5 1 0.19 206 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 9 7 0 0 0 0 0 0 0 0 16 546251. 4087803. 36.9370 116.4806 2 54 1938. 35 124 5 1 0.08 201 4 -99 30 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 3 8 5 29 26 12 15 16 15 0 0 18 21 17 546161. 4087743. 36.9364 116.4816 4 51 1937. 23 229 5 1 0.23 201 4 -99 30 17 18 16 17 9 1 3 1 9 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 18 546131. 4087803. 36.9370 116.4820 2 50 1933. 33 252 5 1 0.10 201 4 -99 30 1 0 0 15 14 9 26 20 28 25 7 9 5 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 11 19 546281. 4087833. 36.9372 116.4803 1 55 1932. 34 130 5 1 0.09 201 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 8 12 17 16 31 27 0 0 0 0 0 0 0 0 20 549371. 4087833. 36.9371 116.4456 1 158 1932. 27 153 5 1 0.18 206 4 -99 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 11 0 0 0 0 0 0 0 0 • Example listing of the input file 30MGRD01.C16 (see Attachment XII for a more detailed explaination. The file contains 253, 597 lines and 10 columns (only the first 20 lines of the file are listed). 546191.0 4087833.0 1 52 546221.0 4087833.0 1 53 546191.0 4087803.0 2 52 546161.0 4087833.0 1 51 546221.0 4087803.0 2 53 546191.0 4087773.0 3 52 546251.0 4087833.0 1 54 546161.0 4087803.0 2 51 549311.0 4087833.0 1 156 546221.0 4087773.0 3 53 546161.0 4087773.0 3 51 546191.0 4087743.0 4 52 546131.0 4087833.0 1 50 549281.0 4087833.0 1 155 549341.0 4087833.0 1 157 546251.0 4087803.0 2 54 546161.0 4087743.0 4 51 546131.0 4087803.0 2 50 546281.0 4087833.0 1 55 549371.0 4087833.0 1 158 1 -3 0 0 0.00000 -1.0 2 -3 0 0 0.00000 -1.0 3 0 11 0 0.00000 -1.0 4 -3 0 0 0.00000 -1.0 5 0 26 0 0.00000 -1.0 6 0 21 0 0.00000 -1.0 7 -3 0 0 0.00000 -1.0 8 0 27 0 0.00000 -1.0 9 -3 0 0 0.00000 -1.0 10 0 43 0 0.00000 -1.0 11 11 32 0 1.00000 -1.0 12 0 33 0 0.00000 -1.0 13 -3 0 0 0.00000 -1.0 14 -3 0 0 0.00000 -1.0 15 -3 0 0 0.00000 -1.0 16 0 52 0 0.00000 -1.0 17 0 41 0 0.00000 -1.0 18 0 57 0 0.00000 -1.0 19 -3 0 0 0.00000 -1.0 20 -3 0 0 0.00000 -1.0 • Example listing of the output file WT2.W20 created for the test case (only the first 20 lines of the file are shown). This file defines a watershed model domain and is supplied directly to INFIL V2.0 as the geospatial parameter input file. Column 8 is the modified second flow routing parameter obtained from 30MGRD01.C16. Column 9 is the flow accumulation term obtained from 30MGRD01.C16. 31864 547421.0 4076823.0 36.8379 116.4682 368 93 -3 0. 1506. 10 211 5 1 0.50 314 5 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 31865 547421.0 4076793.0 36.8377 116.4682 369 93 -3 0. 1506. 8 206 5 1 0.46 314 5 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 31866 547421.0 4076763.0 36.8374 116.4682 370 93 -3 0. 1506. 7 205 10 1 0.44 314 5 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 31867 547421.0 4076733.0 36.8371 116.4682 371 93 -3 0. 1506. 6 205 10 1 0.42 314 5 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 32048 547481.0 4077063.0 36.8401 116.4675 360 95 -3 0. 1505. 10 220 5 1 0.50 314 4 3 30 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 32049 547451.0 4076913.0 36.8387 116.4678 365 94 -3 0. 1505. 10 222 5 1 0.50 314 4 5 30 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 32239 547481.0 4077033.0 36.8398 116.4675 361 95 -3 0. 1504. 7 209 5 1 0.44 314 5 3 30 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 32240 547421.0 4076853.0 36.8382 116.4682 367 93 -3 0. 1504. 12 219 5 1 0.47 314 4 5 30 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 32241 547421.0 4076703.0 36.8368 116.4682 372 93 -3 0. 1504. 4 191 10 1 0.38 314 5 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 32435 547511.0 4077153.0 36.8409 116.4672 357 96 -3 0. 1503. 8 221 5 1 0.46 314 5 3 30 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 32436 547511.0 4077123.0 36.8406 116.4672 358 96 33791 0. 1503. 6 228 5 1 0.42 314 6 3 30 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 32437 547481.0 4077003.0 36.8396 116.4675 362 95 33411 0. 1503. 5 208 10 1 0.40 314 6 3 30 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 32438 547481.0 4076973.0 36.8393 116.4675 363 95 33412 0. 1503. 4 231 5 1 0.38 314 6 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 32439 547451.0 4076943.0 36.8390 116.4678 364 94 -3 0. 1503. 11 225 5 1 0.48 314 4 5 30 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 32440 547481.0 4076943.0 36.8390 116.4675 364 95 34392 0. 1503. 6 116 5 1 0.42 314 5 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 1 1 32441 547451.0 4076883.0 36.8385 116.4678 366 94 33606 0. 1503. 6 227 10 1 0.42 314 6 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 3 32442 547451.0 4076853.0 36.8382 116.4678 367 94 33607 0. 1503. 6 90 10 1 0.42 314 5 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 2 0 0 0 1 0 0 0 0 0 0 1 1 1 32443 547451.0 4076763.0 36.8374 116.4679 370 94 33415 0. 1503. 6 82 10 1 0.42 314 5 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 5 4 0 0 1 1 1 1 1 1 32444 547451.0 4076733.0 36.8371 116.4679 371 94 33216 0. 1503. 5 99 10 1 0.40 314 5 5 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 4 0 0 1 1 1 1 1 1 32620 547511.0 4077243.0 36.8417 116.4671 354 96 -3 0. 1502. 10 209 5 1 0.50 314 5 3 30 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 • Example listing of the output file WT2.W20 created for the test case (only the last 20 lines of the file are shown). The fifth to last line (hi-lighted in red) is the watershed outflow cell identified in the control file with the coordinates 549,671 easting, 4,076,913 northing. The grid cell has 2,859 upstream cells (indicated in column 9) and routs surface water to cell number 121,694 (indicated in column 8), which is the grid cell identified by the last line of the file. Values of –3 in column 8 identify perimeter cells that are used only to define the boundary of the watershed. The seventh to last line (hi-lighted in blue) is the one grid cell upstream of the watershed outflow cell, and has 2,858 upstream cells. 117562 549581.0 4077003.0 36.8394 116.4439 362 165 119071 12. 1212. 5 138 3 4 6.00 301 2 3 30 8 8 8 9 9 8 7 5 2 1 0 0 0 1 3 4 5 5 8 9 8 6 6 8 10 10 7 7 8 7 6 8 9 9 10 11 117565 549551.0 4076973.0 36.8392 116.4443 363 164 118290 2773. 1212. 4 96 3 4 6.00 301 2 4 30 7 7 6 7 7 6 5 3 2 1 0 0 0 3 4 5 8 9 11 11 9 7 7 9 11 10 8 8 9 8 6 7 8 8 9 9 117902 549581.0 4076943.0 36.8389 116.4440 364 165 119071 1. 1211. 7 50 3 4 6.00 301 2 4 30 7 7 7 7 6 5 4 2 2 1 0 0 1 3 5 6 7 8 11 12 13 11 9 8 10 10 9 8 8 8 6 6 7 8 8 8 117903 549611.0 4076913.0 36.8386 116.4436 365 166 119826 3. 1211. 9 60 3 4 6.00 301 2 4 30 7 7 6 6 5 4 3 2 1 0 0 0 1 5 6 7 5 5 6 9 11 13 13 13 12 9 9 8 7 7 6 6 7 7 7 7 118288 549611.0 4077003.0 36.8394 116.4436 362 166 -3 6. 1210. 5 143 3 4 6.00 301 2 3 30 9 9 10 10 10 9 8 5 3 2 0 0 0 0 2 5 5 5 6 9 9 6 6 8 10 9 7 7 8 7 6 8 9 10 11 11 118290 549581.0 4076973.0 36.8392 116.4440 363 165 119071 2834. 1210. 4 97 3 4 6.00 301 2 4 30 7 7 8 8 8 7 6 4 2 1 0 0 0 2 5 6 6 6 9 11 10 8 7 8 10 10 8 8 9 7 6 7 8 9 9 9 118675 549641.0 4077003.0 36.8394 116.4433 362 167 -3 5. 1209. 5 151 3 4 6.00 301 2 3 30 10 11 11 11 11 9 8 6 3 2 0 0 0 0 1 4 5 5 5 7 9 8 7 7 9 9 7 7 8 6 6 8 10 10 10 10 118680 549611.0 4076943.0 36.8389 116.4436 364 166 119826 2. 1209. 6 66 3 4 6.00 301 2 4 30 8 8 8 8 7 5 4 3 2 1 0 0 0 3 5 6 5 5 7 9 11 12 10 9 9 10 8 8 8 7 6 7 8 8 8 8 119071 549611.0 4076973.0 36.8392 116.4436 363 166 119826 2850. 1208. 4 109 10 4 6.00 301 2 4 30 8 8 9 10 9 7 6 4 3 2 0 0 0 2 4 5 5 5 7 9 10 9 8 8 9 10 7 7 9 7 6 7 8 9 9 9 119074 549641.0 4076913.0 36.8386 116.4433 365 167 -3 0. 1208. 6 72 3 4 6.00 301 2 4 30 7 8 7 7 6 4 3 2 1 0 0 0 1 4 6 7 6 6 5 7 9 11 12 12 11 10 9 8 7 7 6 6 7 8 7 7 119076 549641.0 4076883.0 36.8384 116.4433 366 167 -3 1. 1208. 7 83 3 4 6.00 301 2 4 30 7 8 6 6 5 4 3 2 1 0 0 2 4 6 8 9 6 6 5 7 9 11 13 13 14 13 11 10 7 8 6 6 7 7 6 6 119446 549641.0 4076973.0 36.8392 116.4433 363 167 -3 7. 1207. 4 127 3 4 6.00 301 2 4 30 9 10 11 11 10 8 6 4 3 2 0 0 0 1 3 5 5 5 5 8 9 10 9 8 9 9 7 7 8 7 6 8 9 9 9 9 119822 549671.0 4076973.0 36.8392 116.4429 363 168 -3 6. 1206. 4 135 3 4 6.00 301 2 4 30 11 12 11 11 10 8 7 5 4 3 0 0 0 0 2 4 5 6 5 6 8 9 8 7 9 9 7 7 8 6 6 8 9 9 9 10 119826 549641.0 4076943.0 36.8389 116.4433 364 167 120209 2858. 1206. 4 82 3 4 6.00 301 2 4 30 8 9 10 10 8 6 5 4 3 2 0 0 0 3 5 7 6 6 6 8 10 11 11 9 9 9 8 8 8 7 6 7 8 9 8 8 120205 549671.0 4076943.0 36.8389 116.4429 364 168 -3 8. 1205. 3 102 3 4 6.00 301 2 4 30 10 11 12 10 9 7 5 4 3 2 0 0 0 1 3 5 6 6 5 6 8 10 10 9 9 9 8 8 8 7 6 7 8 9 9 9 120209 549671.0 4076913.0 36.8386 116.4429 365 168 121694 2859. 1205. 5 91 3 4 6.00 301 2 4 30 8 9 9 8 7 5 4 3 2 1 0 0 1 4 6 7 7 7 5 6 8 10 12 11 10 9 9 8 7 7 6 7 7 8 8 8 120211 549671.0 4076883.0 36.8384 116.4429 366 168 -3 1. 1205. 6 77 3 4 6.00 301 2 4 30 8 9 7 6 5 4 3 2 1 0 0 2 4 8 9 9 8 8 5 6 8 10 12 13 12 11 10 9 7 7 6 6 7 7 7 7 120918 549701.0 4076943.0 36.8389 116.4426 364 169 -3 7. 1203. 4 116 3 4 6.00 301 2 4 30 12 13 12 10 9 7 6 5 4 3 0 0 0 0 2 4 7 8 5 5 7 9 10 9 9 8 8 8 8 7 6 8 9 9 9 10 121311 549701.0 4076913.0 36.8386 116.4426 365 169 -3 9. 1202. 4 111 10 4 6.00 301 2 4 30 9 10 10 9 8 6 6 5 3 2 0 0 0 3 5 7 9 10 5 5 7 9 11 11 10 9 9 8 7 7 6 7 8 8 8 9 121694 549701.0 4076883.0 36.8383 116.4426 366 169 -3 2886. 1201. 5 47 3 5 5.25 321 2 4 30 8 9 8 8 6 4 5 4 2 1 0 2 5 8 10 12 12 12 8 7 7 9 11 12 12 11 10 9 7 7 6 7 7 7 7 8 • Example listing of the output file WT2.B20 created for the test case (only the first 26 lines are shown). This file indicates the easting and northing coordinates of the 282 perimeter cells defining the watershed boundary (all grid cells having a value of –3 in column 8 of the file WT2.W20) and is used only to provide supporting information for the routine test plan. 547421.0 4076823.0 -3 547421.0 4076793.0 -3 547421.0 4076763.0 -3 547421.0 4076733.0 -3 547481.0 4077063.0 -3 547451.0 4076913.0 -3 547481.0 4077033.0 -3 547421.0 4076853.0 -3 547421.0 4076703.0 -3 547511.0 4077153.0 -3 547451.0 4076943.0 -3 547511.0 4077243.0 -3 547481.0 4077093.0 -3 547451.0 4076703.0 -3 547511.0 4077213.0 -3 547511.0 4077183.0 -3 547451.0 4076973.0 -3 547481.0 4076703.0 -3 547511.0 4077273.0 -3 547481.0 4077123.0 -3 547451.0 4077003.0 -3 547421.0 4076883.0 -3 547451.0 4077033.0 -3 547511.0 4077303.0 -3 547481.0 4076673.0 -3 547541.0 4077363.0 -3 • Figures used as part of the routine test plan: Figure XIII-1. ARCVIEW map image (project file WT2-W20.APR) of the test watershed WT2.W20 extracted from the geospatial parameter base-grid (30MGRD04.SR1). The 3,142 extracted watershed grid cells (including both the 2,860 active model cells and the 282 inactive perimeter cells) with less than 10 upstream cells are shaded purple. The stream channel network defined by the flow accumulation term is red for locations with 10 to 100 upstream cells, yellow for 100 to 1,000 cells, and blue for more than 1,000 cells. Figure XIII-2. TRANSFORM map image (file WT2-ELEV.HDF) of elevation obtained from column 10 of the test watershed (file WT2.W20). The elevation values of the 3,142 grid cells included in the watershed model domain are used to verify that the correct watershed area has been extracted by WATSHD20 V1.0. Figure XIII-3. TRANSFORM map image (file WT2-8.HDF) of the downstream cell number obtained from column 8 of the test watershed (file WT2.W20). The 282 perimeter grid cells are correctly identified by a downstream cell number of –3. The downstream cell number for the 2,860 active model cells increases in the downstream direction. Figure XIII-4. TRANSFORM map image (file WT2-9.HDF) of the flow accumulation term obtained from column 9 of the test watershed (file WT2.W20). The grid cell defining the outflow location from the watershed has 2,859 upstream cells, and the total number of active cells in the watershed model domain is 2,860. Only those cells that are routed to from upstream cells are indicated by color in the map image. The non-colored grid cell locations correctly indicate the surface water flow divides. Figure XIII-5. TRANSFORM map image (file WT2-9B.HDF) of the flow accumulation term obtained from column 9 of the test watershed (file WT2.W20). All grid cells with 500 or more upstream cells are black. Figure XIII-6. TRANSFORM map image (file WT2-9C.HDF) of the flow accumulation term obtained from column 9 of the test watershed (file WT2.W20). All grid cells with 10 or more upstream cells are black. The map image indicates that surface water on sideslopes is being correctly routed as overland flow downslope towards channel locations. • Listing of source code for routine WATSHD20 V1.0: PROGRAM WATSHD20 c version 1.0 c c program to extract watershed-defined grids from c elevation sorted rectangular input grid c obtained as output from SORTGRD1 and using c surface flow routing results obtained from CHNNET16 c c The routing method is a simple D8 convergent flow routing method c and accounts for routing difficulties due to surface c depressions. c c written by Joe Hevesi, U.S. Geological Survey c c----------------------------------------------------------------------- integer locid(0:1204,0:985) real el(0:1204,0:985) real rblock(36) integer row(1190000),col(1190000),irow(1190000),icol(1190000) integer rown,coln,nbot,iter,iter2,depthid integer r0,c0,r1,c1,r2,c2,r3,c3,ro,co integer soilt,geol,topo,vegt,vegc,slp,asp,dclass integer block(36) double precision x(0:1204,0:985),y(0:1204,0:985) double precision xx,yy,xbot,ybot real soild,lat,lon real emax real yold real maxelev,minelev,maxsl real maxx,minx,maxy,miny integer minrow,maxrow,mincol,maxcol c c----- watshed parameters c real xpoint,ypoint,elbot,elmin real elcell double precision xc,yc integer rowc,colc,locidc,iwatc,ioutc real totoutc integer iwat(0:1204,0:985),iout(0:1204,0:985) integer hole(0:1204,0:985) integer nwat integer ichan,idepth read(7,15) chnfile read(7,15) outfile read(7,15) outfil2 read(7,15) holefile read(7,15) boundary read(7,15) bugfile read(7,*) xpoint,ypoint c character*20 infile,outfile,outfil2,holefile,boundary, 1 bugfile,chnfile character*80 header c c 15 format(A) open(unit=7,file='watshd20.ctl') read(7,15) header read(7,15) infile c c---- added ichan option: ichan = 1 to bypass soiltype modification c (use for generating watershed domains of original model) c read(7,*) ichan, idepth c c c unit 9 = main output file c open(unit=8,file=infile) open(unit=9,file=outfile) open(unit=10,file=outfil2) open(unit=11,file=holefile) open(unit=12,file=boundary) open(unit=13,file=bugfile) open(unit=14,file=chnfile) C c c---- initialize statistics c----------------------- c nloc = 1 ssl = 0. selev = 0. maxsl = -99999. maxelev = -99999. minelev = 99999. maxx = -99999. minx = 9999999. maxy = -99999. miny = 9999999. emax = -9999999. C illopx = 0 lnumber = 0 inumber = 0 maxrow = -999 maxcol = -999 minrow = 9999 mincol = 9999 c---- read in sorted grid input c created using sortgrd1 c--------------------------- c N = 1 coln = 0 rown = 0 yold = 0. n2 = 0 nn2 = 0 elold = 999999 c n = 1 x(row(n),col(n)) = xx y(row(n),col(n)) = yy 50 read(8,*,END=70) loc,xx,yy,lat,lon,ro,co,elev, 1 slp,asp,soilt,dclass,soild,geol,topo, 2 vegt,vegc,(rblock(j), j=1,36) c c row(n) = ro col(n) = co el(row(n),col(n)) = elev locid(row(n),col(n)) = n n2 = n2+1 nn2 = nn2 + 1 c c c ------- check to see if input is sorted by elevation c if(el(row(n),col(n)).gt.elold) then write(*,56) n,el(row(n),col(n)),elold 56 format(1x,'error in sequence: n = ',i8,'elev = ',f8.2, 1 'previous = ',f8.2) stop endif elold = el(row(n),col(n)) c c ------- initialize routing parameters c iwat(row(n),col(n)) = -2 iout(row(n),col(n)) = 0 c if(row(n).gt.maxrow) maxrow = row(n) if(col(n).gt.maxcol) maxcol = col(n) if(row(n).lt.minrow) minrow = row(n) if(col(n).lt.mincol) mincol = col(n) c c ------- output to screen c if(nn2.eq.1000) then write(*,77) n,minrow,maxrow,mincol,maxcol, 1 el(row(n),col(n)) 77 format(1x,i8,4i5,f8.0) nn2 = 0 endif C ssl = ssl + slp selev = selev + el(row(n),col(n)) IF (MAXSL.LE.slp) MAXSL = slp IF (MAXELEV.LE.EL(row(n),col(n))) 1 MAXELEV = EL(row(n),col(n)) IF (MINELEV.GE.EL(row(n),col(n))) 1 MINELEV = EL(row(n),col(n)) if(maxx.lt.x(row(n),col(n))) maxx = x(row(n),col(n)) if(maxy.lt.y(row(n),col(n))) maxy = y(row(n),col(n)) if(minx.gt.x(row(n),col(n))) minx = x(row(n),col(n)) if(miny.gt.y(row(n),col(n))) miny = y(row(n),col(n)) c n = n + 1 c GOTO 50 c c---- done reading input, now output grid statistics c and rewind input file c 70 rewind(8) c c n = n - 1 rown = maxrow-minrow-2 coln = maxcol-mincol-2 ncell = rown*coln nloc = n avgsl = ssl/nloc avgelev = selev/nloc C WRITE(*,75) NLOC,AVGELEV,MAXELEV,MINELEV,AVGSL,MAXSL,NCELL, 1 coln,rown WRITE(13,75) NLOC,AVGELEV,MAXELEV,MINELEV,AVGSL,MAXSL,NCELL, 1 coln,rown c 75 FORMAT(/1X,'TOTAL NUMBER OF LOCATIONS = ',I8, 1 /1X,'Average elevation of sample = ',F8.1, 2 /1X,'Maximum elevation of sample = ',F8.1, 3 /1X,'Minimum elevation of sample = ',F8.1, 4 /1X,'Average slope of sample = ',F8.1, 5 /1X,'Maximum slope of sample = ',F8.1, 6 /1X,'Number of active locations = ',I8, 7 /1x,'number of active columns = ',i8, 8 /1x,'number of active rows = ',i8) c write(*,76) minx,maxx,miny,maxy write(13,76) minx,maxx,miny,maxy 76 format(1x,'minimum easting = ',f11.1, 1 /1x,'maximum easting = ',f11.1, 2 /1x,'minimum northing = ',f11.1, 3 /1x,'maximum northing = ',f11.1,//) C C c---- read in channel network parameters obtained c using chnnet16 c--------------------------------------------- c nc=1 100 read(14,*,end=105) xc,yc,rowc,colc,locidc, 1 iwatc,ioutc,holec,totoutc,pondc c if((locidc.eq.locid(row(nc),col(nc))).and. 1 (rowc.eq.row(nc)).and.(colc.eq.col(nc))) then c iout(row(nc),col(nc)) = ioutc hole(row(nc),col(nc)) = holec c endif nc = nc + 1 goto 100 c c --- initialize grid borders c c 105 rewind(14) c do i = mincol-1,maxcol+1 el(minrow-1,i) = -99999. el(maxrow+1,i) = -99999. enddo c do i = minrow-1,maxrow+1 el(i,mincol-1) = -99999. el(i,maxcol+1) = -99999. enddo c c---- find specified starting point c------------------------------ c do i = 1,nloc if((xpoint.ge.x(row(i),col(i))-15.).and. 1 (xpoint.lt.x(row(i),col(i))+15.).and. 2 (ypoint.ge.y(row(i),col(i))-15.).and. 3 (ypoint.lt.y(row(i),col(i))+15.)) then xbot = x(row(i),col(i)) ybot = y(row(i),col(i)) elbot = el(row(i),col(i)) nbot = i endif enddo c nw = 0 c write(*,300) xbot, 1 ybot,elbot, 2 locid(row(nbot),col(nbot)), 3 iout(row(nbot),col(nbot)), 4 iwat(row(nbot),col(nbot)) c write(13,300) xbot, 1 ybot,elbot, 2 locid(row(nbot),col(nbot)), 3 iout(row(nbot),col(nbot)), 4 iwat(row(nbot),col(nbot)) c c c---- start uphill search from 1st point c------------------------------------ c elmin = elbot nwat = 0 r0 = row(nbot) c0 = col(nbot) iwat(r0,c0) = 0 c c ------ 1st loop for cells surrounding starting cell c do 200 ir = -1,1 do 200 ic = -1,1 if(ir.eq.0.and.ic.eq.0) goto 200 c r1 = r0+ir c1 = c0+ic if((r1.ge.maxrow.or.r1.le.0) 1 .or.(c1.ge.maxcol.or.c1.le.0)) if(locid(r1,c1).gt.locid(r0,c0)) if(el(r1,c1).eq.-99999) if(iout(r1,c1).eq.locid(r0,c0)) then nw = nw + 1 irow(nw) = r1 icol(nw) = c1 iwat(r1,c1) = nw c goto 200 goto 200 goto 200 write(*,300) x(irow(nw),icol(nw)), 1 y(irow(nw),icol(nw)),el(irow(nw),icol(nw)), 2 locid(irow(nw),icol(nw)),iout(irow(nw),icol(nw)), 3 iwat(irow(nw),icol(nw)) c write(13,300) x(irow(nw),icol(nw)), 1 y(irow(nw),icol(nw)),el(irow(nw),icol(nw)), 2 locid(irow(nw),icol(nw)),iout(irow(nw),icol(nw)), 3 iwat(irow(nw),icol(nw)) c---- start main loop c-------------------------------- c iter2 = 1 iter = 0 nw1 = 1 600 nw2 = nw iter = iter + 1 write(13,*) iter2,iter,nw1,nw2,nw write(*,*) iter2,iter,nw1,nw2,nw do 400 i = nw1,nw2 r0 = irow(i) c0 = icol(i) elcell = el(r0,c0) c c ------ 1st loop for cells surrounding starting cells c do 450 ir = -1,1 do 450 ic = -1,1 if(ir.eq.0.and.ic.eq.0) goto 450 c r1 = r0+ir c1 = c0+ic if(el(r1,c1).eq.-99999) goto 450 if(iwat(r1,c1).gt.-2) goto 450 if(el(r1,c1).lt.elcell) goto 450 if(iout(r1,c1).eq.locid(r0,c0)) then nw = nw + 1 irow(nw) = r1 icol(nw) = c1 iwat(r1,c1) = nw c endif c write(11,247) i,iter,x(r1,c1),y(r1,c1), 1 el(r1,c1),iout(r1,c1) 247 format(2i8,3f11.1,i8) c c 450 continue 400 continue c c---- if cells exist in temporary array, then do next iteration c if(nw.gt.nw2) then nw1 = nw2 + 1 goto 600 endif c c c---- define watershed boundary cells c niwat = number of boundary cells c---------------------------------- c c 300 format(1x,2f11.1,f8.1,3i6) c endif c c 200 continue c c c niwat = 0 do i = 1,nloc if (iwat(row(i),col(i)).gt.-2) then do 700 ir = -1,1 do 700 ic = -1,1 r1 = row(i)+ir c1 = col(i)+ic if(ir.eq.0.and.ic.eq.0) goto 700 if(iwat(r1,c1).eq.-2) then iwat(r1,c1) = -3 niwat = niwat + 1 endif 700 continue endif enddo write(*,*) niwat write(13,*) niwat c c================================== c c c---- check beyond boundary for holes c loop through all cells to find boundary cells c----------------------------------------------- c nhole = 0 iter2 = iter + 1 do 1500 i = 1,nloc r1 = row(i) c1 = col(i) if(iwat(r1,c1).ne.-3) goto 1500 c c c------- explore 19 layers beyond perimeter cell to find hole c cells outside of watershed identified by iwat < 0 c if hole found (hole > 0) then see if hole routs to c watershed c c do 1000 j = 1,19 c do 1050 ir2 = -j,j do 1050 ic2 = -j,j if(((ir2.le.j-1).and.(ir2.ge.-(j-1))) 1 .and.((ic2.le.j-1).and.(ic2.ge.-(j-1)))) goto 1050 r2 = r1+ir2 c2 = c1+ic2 if(r2.lt.minrow.or.r2.gt.maxrow) goto 1050 if(c2.lt.mincol.or.c2.gt.maxcol) goto 1050 if(iwat(r2,c2).ge.0) goto 1050 if(hole(r2,c2).gt.0) then c c---------------- if hole found explore 20 layers to see if c hole routs to watershed c do 1100 j2 = 1,20 do 1110 ir3 = -j2,j2 do 1110 ic3 = -j2,j2 if(((ir3.le.j2-1).and.(ir3.ge.-(j2- 1))).and. 1 ((ic3.le.j2-1).and.(ic3.ge.-(j2-1)))) 2 goto 1110 r3 = r2+ir3 c3 = c2+ic3 if(r3.lt.minrow.or.r3.gt.maxrow) goto 1110 if(c3.lt.mincol.or.c3.gt.maxcol) goto 1110 if(iwat(r3,c3).lt.0) goto 1110 if(locid(r3,c3).eq.iout(r2,c2)) then nhole = nhole + 1 nw = nw + 1 irow(nw) = r2 icol(nw) = c2 iwat(r2,c2) = nw write(*,2065) nw,x(r2,c2),y(r2,c2), 1 el(r2,c2),x(r3,c3),y(r3,c3) write(13,2065) nw,x(r2,c2),y(r2,c2), 1 el(r2,c2),x(r3,c3),y(r3,c3) 2065 format(1x,i8,2f11.1,f7.1,2f11.1) endif c c c================================== c c return from perimeter test c c---- generate output file c re-read unit 9 (unit 9 = main output file) c c c c---- dummy vegetation type and cover parameters (vegt, vegc) c added as place holders c vegt = -99 vegc = -99 c c c----- added depthclass parameter (dclass) c i2 = 0 do i = 1,nloc read(8,*) loc,xx,yy,lat,lon,ro,co,elev,slp,asp, 1 soilt,dclass,soild,geol,topo,vegt,vegc, 2 (block(j), j=1,36) c read(14,*) xc,yc,rowc,colc,locidc, c endif 1110 continue 1100 continue endif 1050 continue 1000 continue 1500 continue if(nw.gt.nw2) then nw1 = nw2 + 1 goto 600 1 iwatc,ioutc,holec,totoutc,pondc c c---- error trap: check files to be safe c if((xc.ne.xx).and.(yc.ne.yy)) stop c c if(iwat(row(i),col(i)).ne.-2) then if(row(i).eq.minrow.or.row(i).eq.maxrow) 1 iwat(row(i),col(i)) = -3 if(col(i).eq.mincol.or.col(i).eq.maxcol) 1 iwat(row(i),col(i)) = -3 if(iwat(row(i),col(i)).eq.-3) iout(row(i),col(i)) = -3 i2 = i2 + 1 c c------- mod to specify channel soil-type for numeric channels c if(ichan.eq.1) then if(totoutc.gt.50) soilt = 4 endif c c------- if idepth = 0 then use default soil depths c (2nd to last soil depth model) c c------- if idepth = 1 use new soil depth model c (last soil depth model) if(idepth.eq.1) then if(dclass.eq.1) then soild = 0.01 if(slp.le.10) soild = (slp*0.02)+0.3 if(slp.gt.10.and.slp.le.39) 1 soild = (10-slp)*0.017+0.5 c else if(dclass.eq.2) then soild = 0.5 if(slp.le.25) soild = 3-(0.1*slp) c else if(dclass.eq.3.or.dclass.eq.5.or.dclass.eq.6) c-------- if idepth = 2 use 1st soil depth model c else if(idepth.eq.2) then if(dclass.eq.1) then soild = 0.5 - slp*0.01 else if(dclass.eq.2) then if(slp.le.20) then soild = 3.0 - slp*0.125 else soild = 0.5 endif else if(dclass.eq.3.or.dclass.eq.5.or. 1 dclass.eq.6) then if(slp.le.20) then soild = 6.0 - slp*0.15 else soild = 3.0 endif endif 1 then soild = 3. if(slp.le.20) soild = (6-0.15*slp) endif c c c c---------- simple soil depth option c else if(idepth.eq.3) then if(dclass.eq.1) soild = 0.35 if(dclass.eq.2) soild = 1.5 if(dclass.eq.3) soild = 4.0 if(dclass.eq.4) soild = 6.0 c c---------- original soil depth model write(10,730) x(row(i),col(i)), 1 y(row(i),col(i)),el(row(i),col(i)), 2 locid(row(i),col(i)),iout(row(i),col(i)), 3 iwat(row(i),col(i)),hole(row(i),col(i)),totoutc c 730 format(1x,2f11.1,f8.1,4i7,f9.0) c c c---------- output boundary cells c if(iwat(row(i),col(i)).eq.-3) then write(12,725) x(row(i),col(i)),y(row(i),col(i)), 1 iwat(row(i),col(i)) 725 format(1x,f12.1,f12.1,i6) endif c endif enddo stop c CLOSE(9) close(10) close(11) close(12) close(13) END c else if(idepth.eq.4) then if(dclass.eq.1) soild = 0.5 if(dclass.eq.2) soild = 1.5 if(dclass.eq.3) soild = 4.5 if(dclass.eq.4) soild = 6.0 endif c write(9,715) i,xx,yy,lat,lon,ro,co, 1 iout(row(i),col(i)),totoutc,elev,slp,asp, 2 soilt,dclass,soild,geol,topo,vegt,vegc, 3 (block(j), j=1,36) c 715 format(1x,i8,2f11.1,2f9.4,2i5,i8,f8.0,f7.0, 1 4i4,f7.2,4i4,36i3) ATTACHMENT XIV POST-PROCESSING OF MODEL RESULTS USING MAPADD20 V1.0 TOTAL PAGES: 16 Post-processing of model results using MAPADD20 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: MAPADD20 V1.0, OS and hardware environment: Windows NT 4.0, Pentium Pro PC Computer Identification: SM321276 with a USGS specific host-name P720dcasr Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for MAPADD20 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 5.0. 3. General Description of routine/macro: MAPADD20 V1.0 is a FORTRAN77 routine developed in accordance with AP-SI.1Q, specifically for the analysis/model activity documented in this AMR. The routine source code (MAPADD20.FOR), compiled executable file (MAPADD20.EXE), routine control file (MAPADD20.CTL), input and output files used for routine validation, supplemental files created as part of validation testing, and a copy of this attachment, are located under the directory MAPADD20 on a CD-ROM labeled POSTINF-1. The routine source code, control file, and the input and output files are ASCII text files that can be read using any standard ASCII text editor and can be imported into standard word processing applications such as Microsoft Word. The executable file can be used to run MAPADD20 V1.0 on any PC with an INTEL processor (with adequate RAM). 4. Test plan for the software routine MAPADD20 V1.0: • Explain whether this is a routine or macro and describe what it does: MAPADD20 is a post processing routine that uses output from INFIL V2.0 computer software to perform three tasks in the process of developing net-infiltration estimates for nine separate climate scenarios: (1) the routine averages results in files from individual simulations into a single result, (2) the routine adds together simulation files for several watersheds into single files, and (3) the routine compares selected files to determine the minimum net infiltration value among the files for a given grid block and produces a new file with the minimum net infiltration values for all grid blocks in the original files. The specific rationale for these tasks is described in detail in the main document (Section 6.9). Briefly, task (1) is used to determine the average result of simulations run for several analog sites that represent a given climate scenario, task (2) is used to combine results from individual watersheds into the entire composite watershed model domain, and task (3) is done to define the minimum net-infiltration estimates for the lower bound modern climate scenario by sampling the 1980-95 simulation, the 4JA 100-year stochastic simulation, and the driest (in terms of net infiltration) 10-year period within the 4JA 100-year simulation, which is 1980-1990. • Listing of FORTRAN77 Source code: A listing of the FORTRAN77 source code for the routine MAPADD20 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: To evaluate the accuracy of the functions performed by the routine, there are 3 test cases used to evaluate the accuracy of MAPADD20 in performing its expected calculations. Task (1) will use MAPADD20 to calculate an arithmetic mean of values of simulated netinfiltration from two files. This will be verified for the values by calculating the final mean as (File1+File2)/2. Task (2) will be verified visually using maps of the individual watersheds and the final composite watershed model domain to evaluate if they occupy the same space. Task (3) will be evaluated by calculating a minimum with MAPADD20 using three input files of values and producing an output file. The input files and the output file will be imported into EXCEL and it will be determined for a selection of the data if the output value for a given grid block is the minimum value of the three input values for the grid block. • Specify the range of input values to be used and why the range is valid: For task (1) the routine needs to be able to compute an arithmetic mean and any range of data chosen from the simulated infiltration test for the evaluation is valid. For task (2) all of the ten watersheds are used to visually ascertain if the final composite watershed model domain is produced using MAPADD20. For task (3) the routine needs to be able to calculate a minimum value from a selection of values and any range of data chosen from simulated infiltration values is acceptable. 5. Test Results • Output from test (explain difference between input range used and possible input): The acceptance criteria for the testing of MAPADD20 is that the output must provide for task (1), an accurate arithmetic mean to zero decimal places, for task (2) that a visual determination that the files of the 10 individual watersheds occupy the same space as the final composite file when illustrated graphically, and for task (3), that for a selection of values MAPADD20 accurately selects the minimum value. • Description of how the testing shows that the results are correct for the specified input: • List limitations or assumptions to this test case and code in general: If the testing results in output that conforms to the above criteria then the results are correct for the specified input. Limitations to the developed test cases (1) and (3) consist of the selection only of a small number of values that are assumed to be representative of the entire data sets. Limitations to test case (2) are based on the ability of the evaluator to discern that two maps occupy the same space. • Electronic files identified by name and location: The following electronic files including MAPADD20 V1.0 and selected input and output files are provided: MAPADD20.FOR: FORTRAN source code listing for the routine MAPADD20. A printout of the source code is included as part of this attachment. MAPADD20.EXE: Executable file for the routine MAPADD20, compiled for INTEL processors. Test Case for task (1): Input files SC2-MU1.504 and SC2-MU2.504 and output file OUTPUT.TXT. Selections of these files are illustrated in Table XIV-1 for the verification. Test Case for task (3): Input files YM1-X.4E4, 4JA1-X.4E4 and 4JA1-90.4E4 and output file MODERN1.OUT. Net infiltration values for selected grid block locations from these files are illustrated in Table XIV-5 for the verification. 6. Test Case for Task (1): calculation of arithmetic mean Extraction of input files are illustrated below in Table XIV-1 and Table XIV-2. Table XIV-3 is an extraction of the same grid blocks for the corresponding output file from MAPADD20 that calculates an arithmetic mean of the two input files. Table XIV-4 is a calculation of the arithmetic mean of values in Tables XIV-1 and XIV-2 performed as (Value1+Value2)/2. The values in Table XIV-3 and Table XIV-4 for corresponding grid block locations match, indicating that the routine MAPADD20 correctly performs the specified function. Table XIV-1. Extraction of input file SC2-MU1.504 UTM UTM snow-snow-snowsublimevaporun- net- easting northing precip rain fall cover melt ation trans infil del-soil infil runoff (meters) (meters) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) 545621 4075233 390.64838 390.31409 0.33429 0.91931 0.31581 0.01848 392.27072 0 -1.64082 0 0 545621 4075203 390.52993 390.19574 0.33419 0.91685 0.31467 0.01952 392.24604 0 -1.73563 0 0 545591 4075233 390.41155 390.26021 0.15134 0.38352 0.14303 0.00831 392.0268 0 -1.62357 0 0 545591 4075203 390.29324 390.14195 0.15129 0.3828 0.14261 0.00868 391.98121 0 -1.69664 0 0 545621 4075173 390.17502 390.02377 0.15125 0.38223 0.14229 0.00896 391.91474 0 -1.74868 0 0 545561 4075203 390.05687 389.90567 0.1512 0.3828 0.14266 0.00854 391.72013 0 -1.6718 0 0 545591 4075173 390.05687 389.90567 0.1512 0.38237 0.1424 0.0088 391.76968 0 -1.72161 0 0 545561 4075173 389.93879 389.78764 0.15115 0.3825 0.14251 0.00864 391.62292 0 -1.69276 0 0 545621 4075143 389.93879 389.78764 0.15115 0.38197 0.14218 0.00897 391.68411 0 -1.75429 0 0 545531 4075173 389.8208 389.66969 0.15111 0.38226 0.14239 0.00872 391.5222 0 -1.71012 0 0 545561 4075143 389.8208 389.66969 0.15111 0.38186 0.14214 0.00896 391.56645 0 -1.75461 0 0 545591 4075143 389.8208 389.66969 0.15111 0.38185 0.14214 0.00897 384.62755 0 0.55348 0 4.6308 545501 4075173 389.70288 389.55181 0.15106 0.3821 0.14232 0.00874 391.4104 0 -1.71626 0 0 545531 4075143 389.70288 389.55181 0.15106 0.38181 0.14214 0.00892 391.44264 0 -1.74869 0 0 545501 4075143 389.46726 389.31629 0.15097 0.38176 0.14217 0.0088 391.18893 0 -1.73047 0 0 545591 4075113 389.46726 389.31629 0.15097 0.38172 0.14214 0.00883 391.19263 0 -1.7342 0 0 545471 4075173 389.34957 389.19864 0.15093 0.38186 0.14226 0.00867 391.04835 0 -1.70745 0 0 545501 4075113 389.34957 389.19864 0.15093 0.38173 0.14218 0.00875 391.06159 0 -1.72077 0 0 545531 4075113 389.34957 389.19864 0.15093 0.38158 0.14208 0.00884 391.07804 0 -1.73731 0 0 545561 4075113 389.34957 389.19864 0.15093 0.38157 0.14208 0.00884 384.5676 0.7188 0.57015 0 4.9218 545471 4075143 389.23195 389.08107 0.15088 0.38179 0.14224 0.00864 390.92549 0 -1.70218 0 0 545561 4075083 389.23195 389.08107 0.15088 0.38172 0.1422 0.00868 390.9323 0 -1.70903 0 0 545471 4075113 389.11441 388.96358 0.15083 0.38165 0.14218 0.00865 390.81158 0 -1.70582 0 0 545501 4075083 389.11441 388.96358 0.15083 0.38159 0.14215 0.00869 383.91684 0 0.59475 0 4.5941 545531 4075083 389.11441 388.96358 0.15083 0.38155 0.14212 0.00871 398.52077 8.17741 -1.23766 0 0 Table XIV2. Extraction of input file SC2-MU2.504UTM UTM snow-snow-snow-Sublim-Evaporun- net- easting northing precip rain fall cover melt ation trans infil del-soil infil runoff (meters) (meters) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) 545621 4075233 394.33749 386.76666 7.57083 21.29757 7.2249 0.34593 392.16129 0 -1.64526 0 3.47552 545621 4075203 394.21793 386.6494 7.56853 21.2211 7.20413 0.36441 392.14155 0 -1.73799 0 3.44997 545591 4075233 394.09847 388.10767 5.9908 15.10834 5.68791 0.30289 391.95811 0 -1.63227 0 3.46974 545591 4075203 393.97896 387.98997 5.98899 15.06655 5.67397 0.31502 392.84929 0.96379 -1.67158 0 3.45002 545621 4075173 393.85967 387.8725 5.98717 15.03006 5.66302 0.32416 391.85825 0 -1.75537 0 3.43264 545561 4075203 393.74034 387.75498 5.98536 15.03408 5.67505 0.31031 392.59228 0.96067 -1.64765 0 3.44606 545591 4075173 393.74034 387.75498 5.98536 15.01869 5.66631 0.31905 392.63596 0.95307 -1.69674 0 3.43515 545561 4075173 393.62118 387.63763 5.98355 15.00758 5.66975 0.3138 392.49194 0.95274 -1.66866 0 3.43684 545621 4075143 393.62118 387.63763 5.98355 14.9884 5.65887 0.32468 391.63636 0 -1.7618 0 3.42194 545531 4075173 393.50211 387.52038 5.98174 14.98262 5.66532 0.31642 392.39373 0.95036 -1.6861 0 3.42843 545561 4075143 393.50211 387.52038 5.98174 14.9684 5.65726 0.32448 391.52263 0 -1.76234 0 3.41735 545591 4075143 393.50211 387.52038 5.98174 14.96808 5.65708 0.32466 370.07629 0.13904 -0.73597 0 23.9761 545501 4075173 393.383 387.40307 5.97993 14.96111 5.66286 0.31707 391.3702 0 -1.72564 0 3.42137 545531 4075143 393.383 387.40307 5.97993 14.9505 5.65684 0.32309 392.31421 0.94631 -1.72366 0 3.41568 545501 4075143 393.14523 387.16891 5.97631 14.91675 5.65716 0.31915 392.06503 0.94254 -1.70684 0 3.41042 545591 4075113 393.14523 387.16891 5.97631 14.91516 5.65627 0.32005 392.06398 0.93692 -1.71102 0 3.40913 545471 4075173 393.02637 387.05186 5.97451 14.90407 5.65973 0.31478 391.01993 0 -1.71812 0 3.40978 545501 4075113 393.02637 387.05186 5.97451 14.89954 5.65717 0.31734 391.03369 0 -1.73127 0 3.40661 UTM UTM snow-snow-snow-Sublim-Evapo-run-net- easting northing precip rain fall cover melt ation trans infil del-soil infil runoff (meters) (meters) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) 545531 4075113 393.02637 387.05186 5.97451 14.89406 5.65406 0.32045 391.05083 0 -1.74753 0 3.40262 545561 4075113 393.02637 387.05186 5.97451 14.89393 5.65399 0.32052 370.29435 1.34731 -0.72987 0 24.4886 545471 4075143 392.90765 386.93495 5.9727 14.88554 5.65896 0.31375 391.80519 0.93871 -1.67989 0 3.40731 545561 4075083 392.90765 386.93495 5.9727 14.88304 5.65754 0.31516 391.80516 0.93097 -1.68709 0 3.40539 545471 4075113 392.78906 386.81816 5.9709 14.86451 5.65676 0.31414 391.69097 0.93409 -1.68386 0 3.4019 545501 4075083 392.78906 386.81816 5.9709 14.8623 5.65552 0.31538 369.33118 0 -0.7198 0 23.8623 545531 4075083 392.78906 386.81816 5.9709 14.86084 5.65469 0.31621 409.5185 20.2297 -1.11013 0 4.29423 Table XIV-3. Extraction of output file, OUTPUT.TXT Table XIV-4. Extraction of calculated arithmetic means for comparison with values from Table XIV-3. UTM UTM snow-snow-snow-Sublim-Evapo-run-net- easting northing precip rain fall cover melt ation trans infil del-soil infil runoff (meters) (meters) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) 545621 4075233 392.49294 388.54038 3.95256 11.10844 3.770355 0.182205 392.21601 0 -1.64304 0 1.73776 545621 4075203 392.37393 388.42257 3.95136 11.06897 3.7594 0.191965 392.1938 0 -1.73681 0 1.72498 545591 4075233 392.25501 389.18394 3.07107 7.74593 2.91547 0.1556 391.99246 0 -1.62792 0 1.73487 545591 4075203 392.1361 389.06596 3.07014 7.724675 2.90829 0.16185 392.41525 0.48189 -1.68411 0 1.72501 545621 4075173 392.01735 388.94814 3.06921 7.706145 2.902655 0.16656 391.8865 0 -1.75202 0 1.71632 545561 4075203 391.89861 388.83033 3.06828 7.70844 2.908855 0.159425 392.15621 0.48033 -1.65972 0 1.72303 545591 4075173 391.89861 388.83033 3.06828 7.70053 2.904355 0.163925 392.20282 0.47653 -1.70917 0 1.71757 UTM easting (meters) UTM northing (meters) precip (mm/yr) rain (mm/yr) snowfall (mm/yr) snow- cover (mm/yr) snowmelt (mm/yr) Sublimation (mm/yr) Evapotrans (mm/yr) runinfil (mm/yr) del-soil (mm/yr) ( netinfil mm/yr) runoff (mm/yr) 545621 4075233 392.49293 388.54038 3.95256 11.10844 3.77035 0.18221 392.216 0 -1.64304 0 1.73776 545621 4075203 392.37393 388.42257 3.95136 11.06898 3.7594 0.19196 392.1938 0 -1.73681 0 1.72498 545591 4075233 392.25501 389.18394 3.07107 7.74593 2.91547 0.1556 391.99245 0 -1.62792 0 1.73487 545591 4075203 392.1361 389.06596 3.07014 7.72467 2.90829 0.16185 392.41525 0.4819 -1.68411 0 1.72501 545621 4075173 392.01734 388.94813 3.06921 7.70615 2.90266 0.16656 391.88649 0 -1.75203 0 1.71632 545561 4075203 391.8986 388.83033 3.06828 7.70844 2.90885 0.15942 392.1562 0.48034 -1.65972 0 1.72303 545591 4075173 391.8986 388.83033 3.06828 7.70053 2.90436 0.16392 392.20282 0.47653 -1.70918 0 1.71758 545561 4075173 391.77999 388.71263 3.06735 7.69504 2.90613 0.16122 392.05743 0.47637 -1.68071 0 1.71842 545621 4075143 391.77999 388.71263 3.06735 7.68519 2.90053 0.16683 391.66024 0 -1.75805 0 1.71097 545531 4075173 391.66146 388.59503 3.06643 7.68244 2.90386 0.16257 391.95797 0.47518 -1.69811 0 1.71422 545561 4075143 391.66146 388.59503 3.06643 7.67513 2.8997 0.16672 391.54454 0 -1.75848 0 1.70867 545591 4075143 391.66146 388.59503 3.06643 7.67497 2.89961 0.16681 377.35192 0.06952 -0.09125 0 14.3034 545501 4075173 391.54294 388.47744 3.0655 7.6716 2.90259 0.16291 391.3903 0 -1.72095 0 1.71069 545531 4075143 391.54294 388.47744 3.0655 7.66615 2.89949 0.166 391.87842 0.47315 -1.73618 0 1.70784 545501 4075143 391.30624 388.2426 3.06364 7.64926 2.89967 0.16397 391.62698 0.47127 -1.71866 0 1.70521 545591 4075113 391.30624 388.2426 3.06364 7.64844 2.89921 0.16444 391.62831 0.46846 -1.72261 0 1.70457 545471 4075173 391.18797 388.12525 3.06272 7.64297 2.90099 0.16173 391.03414 0 -1.71279 0 1.70489 545501 4075113 391.18797 388.12525 3.06272 7.64063 2.89967 0.16304 391.04764 0 -1.72602 0 1.70331 545531 4075113 391.18797 388.12525 3.06272 7.63782 2.89807 0.16465 391.06444 0 -1.74242 0 1.70131 545561 4075113 391.18797 388.12525 3.06272 7.63775 2.89804 0.16468 377.43097 1.03306 -0.07986 0 14.7052 545471 4075143 391.0698 388.00801 3.06179 7.63367 2.9006 0.16119 391.36534 0.46936 -1.69104 0 1.70365 545561 4075083 391.0698 388.00801 3.06179 7.63238 2.89987 0.16192 391.36873 0.46548 -1.69806 0 1.7027 545471 4075113 390.95173 387.89087 3.06087 7.62308 2.89947 0.16139 391.25127 0.46704 -1.69484 0 1.70095 545501 4075083 390.95173 387.89087 3.06087 7.62194 2.89884 0.16203 376.62401 0 -0.06253 0 14.2282 545531 4075083 390.95173 387.89087 3.06087 7.6212 2.89841 0.16246 404.01963 14.2035 -1.17389 0 2.14711 7. Test Case for Task (2) Figure XIV-1 illustrates the boundaries for the 10 watersheds used as input to MAPADD20. Figure XIV-2 illustrates the final boundary of the composite model domain as produced by MAPADD20, indicating a successful verification of routine function for this task. UTM UTM snow-snow-snow-Sublim-Evaporun- net- easting northing precip rain fall cover melt ation trans infil del-soil infil runoff (meters) (meters) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) (mm/yr) 545561 4075173 391.77999 388.71264 3.06735 7.69504 2.90613 0.16122 392.05743 0.47637 -1.68071 0 1.71842 545621 4075143 391.77999 388.71264 3.06735 7.685185 2.900525 0.166825 391.66024 0 -1.75804 0 1.71097 545531 4075173 391.66146 388.59504 3.066425 7.68244 2.903855 0.16257 391.95797 0.47518 -1.69811 0 1.71421 545561 4075143 391.66146 388.59504 3.066425 7.67513 2.8997 0.16672 391.54454 0 -1.75847 0 1.70867 545591 4075143 391.66146 388.59504 3.066425 7.674965 2.89961 0.166815 377.35192 0.06952 -0.09124 0 14.3034 545501 4075173 391.54294 388.47744 3.065495 7.671605 2.90259 0.162905 391.3903 0 -1.72095 0 1.71068 545531 4075143 391.54294 388.47744 3.065495 7.666155 2.89949 0.166005 391.87843 0.47315 -1.73617 0 1.70784 545501 4075143 391.30625 388.2426 3.06364 7.649255 2.899665 0.163975 391.62698 0.47127 -1.71865 0 1.70521 545591 4075113 391.30625 388.2426 3.06364 7.64844 2.899205 0.16444 391.62831 0.46846 -1.72261 0 1.70456 545471 4075173 391.18797 388.12525 3.06272 7.642965 2.900995 0.161725 391.03414 0 -1.71278 0 1.70489 545501 4075113 391.18797 388.12525 3.06272 7.640635 2.899675 0.163045 391.04764 0 -1.72602 0 1.70330 545531 4075113 391.18797 388.12525 3.06272 7.63782 2.89807 0.164645 391.06444 0 -1.74242 0 1.70131 545561 4075113 391.18797 388.12525 3.06272 7.63775 2.898035 0.16468 377.43098 1.03305 -0.07986 0 14.7052 545471 4075143 391.0698 388.00801 3.06179 7.633665 2.9006 0.161195 391.36534 0.46935 -1.69103 0 1.70365 545561 4075083 391.0698 388.00801 3.06179 7.63238 2.89987 0.16192 391.36873 0.46548 -1.69806 0 1.70269 545471 4075113 390.95174 387.89087 3.060865 7.62308 2.89947 0.161395 391.25128 0.46704 -1.69484 0 1.70095 545501 4075083 390.95174 387.89087 3.060865 7.621945 2.898835 0.162035 376.62401 0 -0.06252 0 14.2282 545531 4075083 390.95174 387.89087 3.060865 7.621195 2.898405 0.16246 404.01964 14.2035 -1.17389 0 2.14711 Watershed modeling domains Yucca Wash Drill Hole Wash Dune Wash Solitario Canyon #1 Plug Hill Jet Ridge #1 Jet Ridge #2 Jet Ridge #3 Solitario Canyon #2 546,000 548,000 550,000 552,000 554,000 Solitario UTM Easting (meters) Canyon #4 elevation contour interval = 50 meters Figure XIV-1. Location of 10 individual watershed model domains used as input to MAPADD20. i4,072,000 4,074,000 4,076,000 4,078,000 4,080,000 4,082,000 4,084,000 4,086,000 UTM Northng (meters) Figure XIV-2. Composite model domain obtained as output from the addition of all 10 watersheds in MAPADD20 and used for, in this example, representation of precipitation rate for the site. / Average precipitation rate (mmyear) 140 -160 160 -180 180 -200 200 -220 220 -240 240 -260 > 260 8. Test Case for Task (3) This test case uses files as input to MAPADD20 that are output files from INFIL simulating infiltration. The net infiltration column, along with the easting and northing grid block location for each file were extracted from the files that were used as input to MAPADD20. The minimum infiltration value was chosen for the three input files for each grid block location. This value is then compared to the net-infil column extracted from the output file from MAPADD20 for the same grid block locations. The values match exactly, indicating a successful routine function for this task. Table XIV-5. Input files for MAPADD20 and output files and calculated minimum net infiltration for a selection of grid blocks. 9. Listing of source code for MAPADD20 V1.0 program mapadd20 c version 1.0 c c post-processing subroutine for INFIL v2.0 results c real fn,pdone integer nfile,nmap,imod2 integer inmod(20,0:10) double precision easting(200000,0:5),northing(200000,0:5), 1 aappt(200000,0:5),aarain(200000,0:5),aasnow(200000,0:5), 2 aasncv(200000,0:5),aamelt(200000,0:5),aasubl(200000,0:5), 3 aatet(200000,0:5),aainfr(200000,0:5),aadsw(200000,0:5), Input file Input file Input file Output file 4ja1-90.4e4 4ja1-x.4e4 ym1-x.4e4 Modern1.out UTM UTM UTM UTM UTM UTM UTM UTM easting northing easting northing easting northing Minimum easting northing (meters) (meters) net-infil (meters) (meters) net-infil (meters) (meters) net-infil net- Infil (meters) (meters) net-infil 546521 4083693 0.32 546521 4083693 4.07978 546521 4083693 6.18809 0.32 546521 4083693 0.32 546491 4083693 0.02 546491 4083693 3.24408 546491 4083693 5.51655 0.02 546491 4083693 0.02 546461 4083693 0 546461 4083693 3.10509 546461 4083693 5.48266 0 546461 4083693 0 546551 4083663 0 546551 4083663 3.04639 546551 4083663 5.44498 0 546551 4083663 0 546521 4083663 0.07 546521 4083663 3.37394 546521 4083663 5.41782 0.07 546521 4083663 0.07 546581 4083663 0 546581 4083663 2.88503 546581 4083663 5.38286 0 546581 4083663 0 546491 4083663 0.27 546491 4083663 3.79583 546491 4083663 5.93402 0.27 546491 4083663 0.27 546461 4083663 0.31 546461 4083663 3.89956 546461 4083663 6.16089 0.31 546461 4083663 0.31 546641 4083633 0 546641 4083633 3.07656 546641 4083633 5.43437 0 546641 4083633 0 546551 4083633 0.9 546551 4083633 4.1375 546551 4083633 6.51973 0.9 546551 4083633 0.9 546581 4083633 0.49 546581 4083633 4.0147 546581 4083633 6.50978 0.49 546581 4083633 0.49 546611 4083633 0.31 546611 4083633 3.84763 546611 4083633 6.11523 0.31 546611 4083633 0.31 546431 4083663 0.22 546431 4083663 3.68611 546431 4083663 5.76996 0.22 546431 4083663 0.22 546521 4083633 1.74 546521 4083633 4.54947 546521 4083633 6.68346 1.74 546521 4083633 1.74 546671 4083603 0.48 546671 4083603 3.95898 546671 4083603 6.47334 0.48 546671 4083603 0.48 546491 4083633 2.39 546491 4083633 4.86752 546491 4083633 6.84224 2.39 546491 4083633 2.39 546641 4083603 2.37 546641 4083603 4.85292 546641 4083603 6.83729 2.37 546641 4083603 2.37 546401 4083633 0.64 546401 4083633 8.49658 546401 4083633 16.19353 0.64 546401 4083633 0.64 546431 4083633 0.06 546431 4083633 0.33627 546431 4083633 0.60473 0.06 546431 4083633 0.06 546461 4083633 2.31 546461 4083633 4.79992 546461 4083633 6.77004 2.31 546461 4083633 2.31 546701 4083573 0.85 546701 4083573 3.95518 546701 4083573 6.31528 0.85 546701 4083573 0.85 546611 4083603 4.87 546611 4083603 5.71362 546611 4083603 6.78471 4.87 546611 4083603 4.87 546581 4083603 6.3 546581 4083603 6.1654 546581 4083603 6.78572 6.1654 546581 4083603 6.1654 4 aainf(200000,0:5),aaoff(200000,0:5),aarun(200000,0:5), 5 massb(200000,0:5),maxbal(200000,0:5),massb2(200000,0:5) c c double precision gaappt,gaarain,gaasnow,gaasncv,gaamelt,gaasubl, 1 gaatet,gaainfr,gaadsw,gaainf,gaaoff,gaarun,gmassb, 2 gmaxbal,gmassb2 c double precision maxppt,maxrain,maxsnow,maxsncv,maxmelt,maxsubl, 1 maxtet,maxinfr,maxdsw,maxinf,maxoff,maxrun,maxmassb, 2 mxmaxbal,mxmassb2 c double precision minppt,minrain,minsnow,minsncv,minmelt,minsubl, 1 mintet,mininfr,mindsw,mininf,minoff,minrun,minmassb, 2 mnmaxbal,mnmassb2 c double precision maxerr,minerr c character*20 infile(20,0:10) character*20 outfile,outfile2,sumfile,errfile character*20 modinfo(22) character*20 modstamp(200000) character*256 header,header2 5 format(A) open(unit=7,file='mapadd20.ctl') read(7,5) header read(7,5) outfile read(7,5) outfile2 read(7,5) sumfile read(7,5) errfile read(7,*) imod2 read(7,*) nfile,nmap,maxerr do 50 i = 1,nfile read(7,5) modinfo(i) do 50 j = 1,nmap read(7,15) inmod(i,j),infile(i,j) 15 format(i2,2x,a20) c 50 continue open(unit=12,file=outfile) open(unit=13,file=outfile2) open(unit=14,file=sumfile) open(unit=15,file=errfile) c write(14,5) header write(14,35) outfile,sumfile 35 format(1x,'main output file: ',a20, 1 /1x,'summary outputfile: ',a20, 2 /1x,'input files:'//) c do 55 i = 1,nfile write(14,5) modinfo(i) do 55 j = 1,nmap write(14,65) inmod(i,j),infile(i,j) 65 format(1x,i2,2x,a20) c 55 continue write(14,56) 56 format(/) c c minerr = -maxerr c gaappt = 0. gaarain = 0. gaasnow = 0. gaasncv = 0. c ndata = 0 nstart = 1 do 400 i = 1,nfile c do 350 j = 1,nmap n2 = 1 n = nstart open(unit=8,file=infile(i,j)) if((n2.eq.1).and.(inmod(i,j).eq.1)) read(8,5) header2 c if(inmod(i,j).eq.1) then 100 read(8,*,end=300) 1 easting(n,j),northing(n,j),aappt(n,j),aarain(n,j), 1 aasnow(n,j),aasncv(n,j),aamelt(n,j),aasubl(n,j), 2 aatet(n,j),aainfr(n,j),aadsw(n,j),aainf(n,j), 3 aaoff(n,j),aarun(n,j),massb(n,j),maxbal(n,j), 4 massb2(n,j) c if(j.eq.1) modstamp(n) = modinfo(i) n2 = n2 + 1 n = n + 1 goto 100 c 300 nlast = n-1 n2 = n2 - 1 close(8) c c use inmod = 0 for infils4e input average annual format else if(inmod(i,j).eq.0) then 110 read(8,*,end=310) 1 easting(n,j),northing(n,j),aappt(n,j), 2 aatet(n,j),aainfr(n,j),aadsw(n,j),aainf(n,j), 3 aaoff(n,j),aarun(n,j),massb(n,j),maxbal(n,j) c c error trap if((easting(n,j).ne.easting(n,1).or. 1 northing(n,j).ne.northing(n,1))) stop c if(j.eq.1) modstamp(n) = modinfo(i) n2 = n2 + 1 n = n + 1 goto 110 c 310 nlast = n-1 n2 = n2 - 1 close(8) c c use inmod = 3 for infils4e input annual format (4ja1-90) else if(inmod(i,j).eq.2) then c c 120 read(8,*,end=320) 1 easting(n,j),northing(n,j),aappt(n,j), 2 aatet(n,j),aadsw(n,j),aainf(n,j),aainfr(n,j), 3 aaoff(n,j),aarun(n,j) c if(aappt(n,j).eq.0.) goto 120 massb(n,j) = -9999.0 maxbal(n,j) = -9999.0 c c error trap if((easting(n,j).ne.easting(n,1).or. 1 northing(n,j).ne.northing(n,1))) stop c if(j.eq.1) modstamp(n) = modinfo(i) n2 = n2 + 1 aainf(n,0) = 99999999. n = n + 1 goto 120 c 320 nlast = n-1 n2 = n2 - 1 close(8) c endif write(*,*) i,j,nstart,n2,nlast write(14,*) i,j,nstart,n2,nlast c 350 continue nstart = nlast+1 c 400 continue c write(14,401) 401 format(/) c ndata = nlast do 600 i = 1,ndata 600 continue c c c write header line write(12,4915) 4915 format(5x,'easting',3x,'northing',1x,7x,'precip',9x,'rain', 1 4x,'snow-fall',3x,'snow-cover',4x,'snow-melt', 2 2x,'sublimation', 2 3x,'evapotrans',4x,'run-infil',5x,'del-soil', 3 4x,'net-infil',7x,'runoff',11x,'run-on', 4 5x,'mass-balance',6x,'max-balance', do 600 j = 1,nmap c c do simple averaging if(imod2.ne.2) then aappt(i,0) = aappt(i,0) + aappt(i,j) aarain(i,0) = aarain(i,0) + aarain(i,j) aasnow(i,0) = aasnow(i,0) + aasnow(i,j) aasncv(i,0) = aasncv(i,0) + aasncv(i,j) aamelt(i,0) = aamelt(i,0) + aamelt(i,j) aasubl(i,0) = aasubl(i,0) + aasubl(i,j) aatet(i,0) = aatet(i,0) + aatet(i,j) aainfr(i,0) = aainfr(i,0) + aainfr(i,j) aadsw(i,0) = aadsw(i,0) + aadsw(i,j) aainf(i,0) = aainf(i,0) + aainf(i,j) aaoff(i,0) = aaoff(i,0) + aaoff(i,j) aarun(i,0) = aarun(i,0) + aarun(i,j) massb(i,0) = massb(i,0) + massb(i,j) maxbal(i,0) = maxbal(i,0) + maxbal(i,j) massb2(i,0) = massb2(i,0) + massb2(i,j) c c mod mapadd02 (5/30/99) to catch mass balance error if(massb(i,j).gt.maxerr) 1 write(15,605) easting(i,j),northing(i,j),massb(i,j),j c if(massb(i,j).lt.minerr) 1 write(15,605) easting(i,j),northing(i,j),massb(i,j),j c 605 format(2f11.1,1x,g16.6,1x,i2) c c c lower bound modern day climate else if(imod2.eq.2) then if(aainf(i,0).gt.aainf(i,j)) then aainf(i,0) = aainf(i,j) aappt(i,0) = aappt(i,j) aarain(i,0) = -9999.0 aasnow(i,0) = -9999.0 aasncv(i,0) = -9999.0 aamelt(i,0) = -9999.0 aasubl(i,0) = -9999.0 aatet(i,0) = aatet(i,j) aainfr(i,0) = aainfr(i,j) aadsw(i,0) = aadsw(i,j) aaoff(i,0) = aaoff(i,j) aarun(i,0) = aarun(i,j) massb(i,0) = -9999.0 maxbal(i,0) = -9999.0 massb2(i,0) = -9999.0 endif endif c 5 2x,'mass-balance #2',3x,'model ID') c write(13,4925) 4925 format(5x,'easting',3x,'northing',1x,7x,'precip',9x,'rain', 1 4x,'snow-fall',3x,'snow-cover',4x,'snow-melt', 2 2x,'sublimation', 2 3x,'evapotrans',4x,'run-infil',5x,'del-soil', 3 4x,'net-infil',7x,'runoff',11x,'run-on', 4 5x,'mass-balance',6x,'max-balance', 5 2x,'mass-balance #2') c c c initialize statistical parameters maxppt = 1E-30 maxrain = 1E-30 maxsnow = 1E-30 maxsncv = 1E-30 maxmelt = 1E-30 maxsubl = 1E-30 maxtet = 1E-30 maxinfr = 1E-30 maxdsw = 1E-30 maxinf = 1E-30 maxoff = 1E-30 maxrun = 1E-30 maxmassb = 1E-30 mxmaxbal = 1E-30 mxmassb2 = 1E-30 c minppt = 1e+30 minrain = 1e+30 minsnow = 1e+30 minsncv = 1e+30 minmelt = 1e+30 minsubl = 1e+30 mintet = 1e+30 mininfr = 1e+30 mindsw = 1e+30 mininf = 1e+30 minoff = 1e+30 minrun = 1e+30 minmassb = 1e+30 mnmaxbal = 1e+30 mnmassb2 = 1e+30 c c c begin final processing write(*,*) n3 = 0 fn = 0 do 700 i = 1,ndata fn = fn + 1. n3 = n3 + 1 pdone = (fn/ndata)*100. if(n3.eq.1000) then write(*,*) i,pdone n3 = 0 endif c if(imod2.ne.2) then aappt(i,0) = aappt(i,0)/nmap aarain(i,0) = aarain(i,0)/nmap aasnow(i,0) = aasnow(i,0)/nmap aasncv(i,0) = aasncv(i,0)/nmap aamelt(i,0) = aamelt(i,0)/nmap aasubl(i,0) = aasubl(i,0)/nmap aatet(i,0) = aatet(i,0)/nmap aainfr(i,0) = aainfr(i,0)/nmap aadsw(i,0) = aadsw(i,0)/nmap aainf(i,0) = aainf(i,0)/nmap aaoff(i,0) = aaoff(i,0)/nmap aarun(i,0) = aarun(i,0)/nmap massb(i,0) = massb(i,0)/nmap maxbal(i,0) = maxbal(i,0)/nmap massb2(i,0) = massb2(i,0)/nmap c if(imod2.eq.0) then aarain(i,0) = -9999.0 aasnow(i,0) = -9999.0 aasncv(i,0) = -9999.0 aamelt(i,0) = -9999.0 aasubl(i,0) = -9999.0 massb2(i,0) = -9999.0 endif endif c c if(aappt(i,0).gt.maxppt) maxppt = aappt(i,0) if(aarain(i,0).gt.maxrain) maxrain = aarain(i,0) if(aasnow(i,0).gt.maxsnow) maxsnow = aasnow(i,0) if(aasncv(i,0).gt.maxsncv) maxsncv = aasncv(i,0) if(aamelt(i,0).gt.maxmelt) maxmelt = aamelt(i,0) if(aasubl(i,0).gt.maxsubl) maxsubl = aasubl(i,0) if(aatet(i,0).gt.maxtet) maxtet = aatet(i,0) if(aainfr(i,0).gt.maxinfr) maxinfr = aainfr(i,0) if(aadsw(i,0).gt.maxdsw) maxdsw = aadsw(i,0) if(aainf(i,0).gt.maxinf) maxinf = aainf(i,0) if(aaoff(i,0).gt.maxoff) maxoff = aaoff(i,0) if(aarun(i,0).gt.maxrun) maxrun = aarun(i,0) if(massb(i,0).gt.maxmassb) maxmassb = massb(i,0) if(maxbal(i,0).gt.mxmaxbal) mxmaxbal = maxbal(i,0) if(massb2(i,0).gt.mxmassb2) mxmassb2 = massb2(i,0) c c if(aappt(i,0).lt.minppt) minppt = aappt(i,0) if(aarain(i,0).lt.minrain) minrain = aarain(i,0) if(aasnow(i,0).lt.minsnow) minsnow = aasnow(i,0) if(aasncv(i,0).lt.minsncv) minsncv = aasncv(i,0) if(aamelt(i,0).lt.minmelt) minmelt = aamelt(i,0) if(aasubl(i,0).lt.minsubl) minsubl = aasubl(i,0) if(aatet(i,0).lt.mintet) mintet = aatet(i,0) if(aainfr(i,0).lt.mininfr) mininfr = aainfr(i,0) if(aadsw(i,0).lt.mindsw) mindsw = aadsw(i,0) if(aainf(i,0).lt.mininf) mininf = aainf(i,0) if(aaoff(i,0).lt.minoff) minoff = aaoff(i,0) if(aarun(i,0).lt.minrun) minrun = aarun(i,0) if(massb(i,0).lt.minmassb) minmassb = massb(i,0) if(maxbal(i,0).lt.mnmaxbal) mnmaxbal = maxbal(i,0) if(massb2(i,0).lt.mnmassb2) mnmassb2 = massb2(i,0) c c gaappt = gaappt + aappt(i,0) gaarain = gaarain + aarain(i,0) gaasnow = gaasnow + aasnow(i,0) gaasncv = gaasncv + aasncv(i,0) gaamelt = gaamelt + aamelt(i,0) gaasubl = gaasubl + aasubl(i,0) gaatet = gaatet + aatet(i,0) gaainfr = gaainfr + aainfr(i,0) gaadsw = gaadsw + aadsw(i,0) gaainf = gaainf + aainf(i,0) gaaoff = gaaoff + aaoff(i,0) gaarun = gaarun + aarun(i,0) gmassb = gmassb + massb(i,0) gmaxbal = gmaxbal + maxbal(i,0) gmassb2 = gmassb2 + massb2(i,0) c C write(12,4905) easting(i,1),northing(i,1), 1 aappt(i,0),aarain(i,0),aasnow(i,0),aasncv(i,0), 2 aamelt(i,0),aasubl(i,0),aatet(i,0),aainfr(i,0), 3 aadsw(i,0),aainf(i,0),aaoff(i,0),aarun(i,0), 4 massb(i,0),maxbal(i,0),massb2(i,0),modstamp(i) c 4905 format(1x,2f11.1,1x,11f13.5,4(1x,g16.7),3x,a22) c gaappt = gaappt/ndata gaarain = gaarain/ndata gaasnow = gaasnow/ndata gaasncv = gaasncv/ndata gaamelt = gaamelt/ndata gaasubl = gaasubl/ndata gaatet = gaatet/ndata gaainfr = gaainfr/ndata gaadsw = gaadsw/ndata gaainf = gaainf/ndata gaaoff = gaaoff/ndata gaarun = gaarun/ndata gmassb = gmassb/ndata gmaxbal = gmaxbal/ndata gmassb2 = gmassb2/ndata c c write(14,7005) ndata,gaappt,maxppt,minppt,gaarain,maxrain, 1 minrain,gaasnow,maxsnow,minsnow,gaasncv,maxsncv,minsncv, 2 gaamelt,maxmelt,minmelt,gaasubl,maxsubl,minsubl,gaatet, 3 maxtet,mintet,gaainfr,maxinfr,mininfr,gaadsw,maxdsw, 4 mindsw,gaainf,maxinf,mininf,gaaoff,maxoff,minoff,gaarun, 5 maxrun,minrun,gmassb,maxmassb,minmassb,gmaxbal,mxmaxbal, 6 mnmaxbal,gmassb2,mxmassb2,mnmassb2 c write(*,7005) ndata,gaappt,maxppt,minppt,gaarain,maxrain, 1 minrain,gaasnow,maxsnow,minsnow,gaasncv,maxsncv,minsncv, 2 gaamelt,maxmelt,minmelt,gaasubl,maxsubl,minsubl,gaatet, 3 maxtet,mintet,gaainfr,maxinfr,mininfr,gaadsw,maxdsw, 4 mindsw,gaainf,maxinf,mininf,gaaoff,maxoff,minoff,gaarun, 5 maxrun,minrun,gmassb,maxmassb,minmassb,gmaxbal,mxmaxbal, 6 mnmaxbal,gmassb2,mxmassb2,mnmassb2 c c 7005 format(//1x,'Total number of cells: ',i12/, 7/1x,'Evapotranspiration (mm/yr): ',f14.6,3x,f14.6,3x,f14.6, 8/1x,'Run-on infiltration (mm/yr): ',f14.6,3x,f14.6,3x,f14.6, 9/1x,'Stored water change (mm/yr): ',f14.6,3x,f14.6,3x,f14.6, write(13,4935) easting(i,1),northing(i,1), 1 aappt(i,0),aarain(i,0),aasnow(i,0),aasncv(i,0), 2 aamelt(i,0),aasubl(i,0),aatet(i,0),aainfr(i,0), 3 aadsw(i,0),aainf(i,0),aaoff(i,0),aarun(i,0), 4 massb(i,0),maxbal(i,0),massb2(i,0) c 4935 format(1x,2f11.1,1x,11f13.5,4(1x,g16.7)) c 700 continue c c 1/1x,'Parameter 2'Maximum ',5x,'Minimum',/ ','Average ',5x, c 1/1x,'Precipitation (mm/yr): 2/1x,'Rain (mm/yr): 3/1x,'Snow-fall (mm/yr): 4/1x,'Snow cover (mm/yr): 5/1x,'Snow-melt (mm/yr): 6/1x,'Sublimation (mm/yr): ',f14.6,3x,f14.6,3x,f14.6, ',f14.6,3x,f14.6,3x,f14.6, ',f14.6,3x,f14.6,3x,f14.6, ',f14.6,3x,f14.6,3x,f14.6, ',f14.6,3x,f14.6,3x,f14.6, ',f14.6,3x,f14.6,3x,f14.6, 1/1x,'Net infiltration (mm/yr): 2/1x,'Run-off (mm/yr): 3/1x,'Run-on (mm/yr): 4/1x,'Mass balance error (mm/yr): 5/1x,'Max daily error (mm/dy): 6/1x,'Mass balance 2 (mm/yr): ',f14.6,3x,f14.6,3x,f14.6, ',f14.6,3x,f14.6,3x,f14.6, ',f14.6,3x,f14.6,3x,f14.6, ',g14.6,3x,g14.6,3x,g14.6, ',g14.6,3x,g14.6,3x,g14.6, ',g14.6,3x,g14.6,3x,g14.6) c c close(12) close(13) close(14) close(15) stop end ATTACHMENT XVPOST-PROCESSING OF MODEL RESULTS USING MAPSUM01 V1.0 TOTAL PAGES : 14 Post-processing of model results using MAPSUM01 V1.0 1. Name of routine/macro with version/OS/hardware environment and user information: Name of software routine: MAPSUM01 V1.0, OS and hardware environment: Windows NT 4.0, Pentium Pro PC Computer Identification: SM321276 with a USGS specific host-name P720dcasr Software Users: Joseph Hevesi (916-278-3274), Alan Flint (916-278-3221) User Location: U.S. Geological Survey, Room 5000E, Placer Hall, 6000 J Street, Sacramento, CA 95819-6129 2. Name of commercial software with version/OS/hardware used to develop routine/macro: The source code for MAPSUM01 V1.0 was developed using the standard FORTRAN77 programming language. The source code was written, debugged, and compiled (for PC platforms using INTEL processors) using DIGITAL Visual Fortran with Microsoft Developer Studio, V. 5.0. 3. Test Plan. • Explain whether this is a routine or macro and describe what it does: The software routine, MAPSUM01 V1.0, is a FORTRAN77 routine developed in accordance with AP-SI.1Q , Section 5.1.12, specifically for the analysis/model activity documented in this AMR. The documentation provided in this attachment is used to satisfy software quality assurance requirements for software routines as defined under AP-SI.1Q. MAPSUM01 V1.0 is a FORTRAN routine developed to calculate simple summary statistics for results obtained from the post-processing routine MAPADD20 V1.0 (which is a postprocessing routine for results obtained using INFIL V2.0). The summary statistics are calculated for the subset of grid cells located within areas defined by SURFER V6.04 output files. The results from these calculations are included in tables in the AMR report that are used to compare the results obtained for the various different climate scenarios. The SURFER V6.04 output files consist of masked raster-based grid files with the masked areas defined by vector-based irregular boundary lines that are imported into the SURFER V6.04 grid utility application using the standard boundary line file format (*.bln format) under the GRID/BLANK menu option. The masked grid is created by importing the geospatial input parameter base grid into SURFER V6.04 and creating a new master grid based on ground surface elevation. In all cases, the developed SURFER V6.04 master grid file is used only to define the grid cell coordinates for the masking process and is equivalent to the base grid used to define the geospatial parameter input files (see Attachments VII through XIV). To complete the masking process, the base grid is combined with the imported boundary line and all grid cells located outside of the closed boundary are flagged with the standard default null value used by SURFER V6.04 (1.70141E+038). The masked grid is exported as an xyz column formatted ASCII text file (the values of the non-masked z-values are irrelevant). Using the masked grid as a template for identifying the grid cells located within the area defined by the boundary line file specified in SURFER V6.04, MAPSUM01 V1.0 calculates a set of 1st-order summary statistics for all the water balance terms (precipitation, evapotranspiration, change in root-zone water content, runoff, runon, net infiltration). The grid cell coordinates and the water balance terms are obtained from the input file created by the post-processing of the INFIL V2.0 results using the routine MAPADD20 V1.0. The water balance terms have units of millimeters/year. For the application of MAPSUM01 used in this AMR, summary statistics were calculated for two different sub-areas defined by boundary line files imported into SURFER V6.04: the Site-Scale Unsaturated Zone Flow and Transport model area and the potential repository area. The functions of MAPSUM01 V1.0 are executed using a single routine control file named MAPSUM01.CTL. The file defines the input and output file names, and specifies a distance tolerance parameter, in units of meters. The distance tolerance parameter (set to 10.0 meters in all applications of MAPSUM01 used in this AMR) is needed to compensate for differences in the precision of raster grid coordinates used by SURFER V6.04 relative to the precision of the input grid defined by the geospatial input parameter base grid discussed in section 6.5 of this AMR. The two input files listed consist of the masked SURFER grid (either uzmod2.dat or repos8.dat) saved using the ASCII xyz column formatted option and the final output file created by MAPADD20 consisting of the developed net infiltration estimates for one of the nine climate scenarios (for example, glacialu.dat or modernl.dat) The routine source code, compiled executable file, example input and output files, and example validation test files are located under the directory MAPSUM01 on the CD-ROM labeled POSTINF-1. • Source code: (including equations or algorithms from software setup (LabView, Excel, etc.): A listing of the FORTRAN77 source code for the routine MAPSUM01 V1.0 along with examples of the input and output files used in the test plan are included at the end of this attachment. • Description of test(s) to be performed: To evaluate the accuracy of the routine calculations and output, a test calculation was performed. The test involves determining whether the summary statistics calculated using the routine are correct. A test was completed using an input file (Glacialm.dat) and a boundary file (REPOS8.BLN). For the first part of the test, the auxiliary output file created by MAPSUM01, GM-REP8.MAP, was imported into the EXCEL worksheet MAPSUM01.XLS and the summary statistics (average, maximum, and minimum values) were calculated using functions in EXCEL (AVERAGE, MAX, MIN). The calculated results were compared against the results listed in the output file GM-REP8.SUM. For the second part of the test, SURFER V6.04 was used to create a masked grid output file called Netinfilb.dat. The file was creating using the same technique described in section 2 above. GLACIALM.DAT was combined with the imported boundary line (REPOS8.BLN) and all grid cells located outside of the closed boundary were flagged with the standard default null value used by SURFER V6.04. The masked grid was exported as an xyz column formatted ASCII text file (NETINFILB.DAT). The data included in the exported file (NETINFILB.DAT) includes northing, easting, and net infiltration. NETINFILB.DAT was imported into MAPSUM01.XLS and summary statistics for net infiltration were calculated using EXCEL commands (AVERAGE, MAX, MIN). In both test cases, if the values calculated in MAPSUM01.XLS were found to be within the acceptance criteria defined as + or – 0.01, then the routine correctly calculated the summary statistics. • Specify the range of input values to be used and why the range is valid: The range of input values to be used is equivalent to the range of output values calculated by INFIL V2.0. There are no criteria for the range of input values. 4. Test Results. • Output from test: The output from the test is located in attached file MAPSUM01.XLS. This file is too large to be included in the attachment as a printed table. • Description of how the testing shows that the results are correct for the specified input: The sequence of calculations performed using MAPSUM01 are very basic and were easily compared to calculations performed by EXCEL. Summary statistics were calculated in the EXCEL worksheet MAPSUM01.XLS using the auxiliary output file GM-REP8.MAP. The calculated statistics exactly matched the output in the summary file GM-REP8.SUM (Table XV-1). The summary statistics (average, maximum, and minimum values) for net infiltration were also calculated in MAPSUM01.XLS using a manually extracted subset of the grid cells located within the boundary defined by REPOS8.BLN. The calculated statistics were found to be within were checked against the output values in GM-REP8.SUM and were found to be within the acceptance criteria defined as + or – 0.01 (Table XV-2). • List limitations or assumptions to this test case and code in general: Limitations are only those inherent in the input files, and in the ability of the reviewer to determine if the summary statistics calculated using EXCEL are within the acceptance criteria. • Electronic files identified by name and location (include disc if necessary): Electronic files are located on CD-ROM labeled POSTINF-1, under the directory MAPSUM01, included as an attachment to the AMR. The following electronic files are provided: REPOS8.BLN – boundary line file for the potential repository area REPOS8.DAT-Masking file creating by SURFER V6.04 GLACIALM.DAT -input file used to create Netinfilb.dat GM-REP8.SUM – MAPSUM01 output file with summary statistics. GM-REP8.MAP – subset of results extracted from the input file GLACIALM.DAT using the SURFER V6.04 masking file REPOS8DAT. This file is created as an auxiliary output file and is used as part of the test plan. NETINFILB.DAT -the masked file used to test summary statistic calculations MAPSUM01.XLS – the EXCEL file used to calculate summary statistics 5. Supporting Information. Include background information, such as revision to a previous routine or macro, or explanation of the steps performed to run the software. Include listings of all electronic files and codes used. • Procedure for running routine: To run the routine MAPSUM01 V1.0, the executable file (MAPSUM01.EXE), the routine control file (MAPSUM01.CTL), and the input files specified in the routine control file (REPOS8.DAT and GLACIALM.DAT) must be placed in the same directory. The routine is executed by typing MAPSUM01 in a DOS window or by double clicking on the file MAPSUM01.EXE in the Microsoft Windows operating system, or by typing in the path and filename in the RUN window of the Windows NT or Windows 98 start menu. The input and output file names must be in the correct sequential order as specified in the routine control file (see example listing below). • Example listing of routine control file MAPSUM01.CTL mapsum01.ctl: 1999 potential repository 8 model area mean glacial transition climate results (gm-5os) 9/1/99 (header line) repos8.dat (masked SURFER grid) 10.0 (distance tolerance, in meters) glacialm.dat (output from MAPADD20) gm-rep8.sum (main output file) gm-rep8.map (secondary output file used for validation) • Example listing of input file GLACIALM.DAT developed as output from MAPADD20 V1.0 (see Attachment XIV). Only the first 10 lines of the file are listed. easting northing precip rain snow-fall snow-cover snow-melt sublimation evapotrans run-infil del-soil net-infil runoff run-on mass-balance max-balance mass-balance #2 546521.0 4083693.0 368.26735 237.21505 131.05230 6014.18170 111.78057 18.73772 295.42480 0.00000 1.64116 8.36099 43.56865 0.000000 -0.1900702E-12 -0.5748180E-13 0.4144834E-12 546491.0 4083693.0 368.13263 237.12826 131.00436 5982.74314 111.45309 19.02130 299.99299 0.00000 1.61317 7.53981 39.43538 0.000000 -0.1474375E-12 -0.4412211E-13 -0.4950116E-12 546461.0 4083693.0 367.86326 236.95475 130.90850 5940.35044 111.21879 19.16479 300.29268 0.00000 1.60110 7.40576 38.87402 0.000000 -0.8467299E-13 -0.3442154E-13 -0.1243450E-12 546551.0 4083663.0 367.72877 236.86812 130.86064 5919.97186 111.12073 19.21742 300.43058 0.00000 1.59464 7.34809 38.61555 0.000000 -0.3262575E-12 -0.3953319E-13 -0.6394882E-13 546521.0 4083663.0 367.59435 236.78154 130.81281 5891.78511 110.86277 19.43119 297.85613 0.00000 1.57294 7.65572 40.55952 0.000000 -0.4571159E-12 -0.3654484E-13 0.4736952E-14 546581.0 4083663.0 367.59435 236.78154 130.81281 5916.66076 111.39227 18.89784 301.85962 0.00000 1.61581 7.21073 37.48765 0.000000 -0.4979722E-12 -0.1243450E-13 0.4736952E-14 546491.0 4083663.0 367.32570 236.60850 130.71721 5842.78144 110.47885 19.72574 293.19867 2.88793 1.57708 8.34757 46.85196 40.68072 -0.2291500E-12 -0.1058413E-13 0.1918465E-12 546461.0 4083663.0 367.05740 236.43568 130.62173 5804.76115 110.32784 19.78588 290.94198 2.61177 1.58257 8.62725 48.22348 36.82361 -0.3440211E-12 -0.5570544E-13 0.3884299E-12 546641.0 4083633.0 366.92344 236.34938 130.57405 5821.65830 111.01392 19.04874 299.54145 0.00000 1.58696 7.43119 38.80370 0.000000 -0.4825768E-12 -0.9131585E-14 -0.6335671E-12 546551.0 4083633.0 366.78944 236.26307 130.52638 5747.27079 109.73212 20.29416 281.71067 0.00000 1.60689 9.76482 52.91281 0.000000 -0.8052816E-13 -0.4344557E-13 0.2250050E-13 • Example listing of input file REPOS8.DAT developed as output from SURFER V6.04. Only the first 10 lines of the file are listed. 544691 4.07079E+006 1.70141E+038 544721 4.07079E+006 1.70141E+038 544751 4.07079E+006 1.70141E+038 544781 4.07079E+006 1.70141E+038 544811 4.07079E+006 1.70141E+038 544841 4.07079E+006 1.70141E+038 544871 4.07079E+006 1.70141E+038 544901 4.07079E+006 1.70141E+038 544931 4.07079E+006 1.70141E+038 544961 4.07079E+006 1.70141E+038 • Example listing of input file GM-REP8.MAP developed as output from SURFER V6.04. Only the first 20 lines of the file are listed. easting northing snow-melt sublimation runoff run-on 547511.0 4077123.0 56.88268 8.13961 1.23486 0.000000 547511.0 4077093.0 56.99238 7.83101 1.26772 0.000000 547541.0 4077243.0 57.14216 7.63807 1.10377 0.000000 547511.0 4077063.0 56.92711 7.85386 0.76734 0.000000 547541.0 4077303.0 57.46022 7.29764 1.52826 0.000000 547541.0 4077273.0 57.35112 7.40711 1.31875 0.000000 547541.0 4077213.0 56.95580 7.80378 0.92580 0.000000 547541.0 4077183.0 57.01330 7.72482 0.76992 0.000000 547511.0 4077033.0 56.91241 7.82605 0.76055 0.000000 547541.0 4077153.0 57.05420 7.66249 0.76977 0.000000 precip rain snow-fall snow-cover evapotrans run-infil del-soil net-infil mass-balance max-balance mass-balance #2 333.84400 268.69023 65.15376 1552.67875 277.04121 0.00000 1.32346 45.97340 0.1782278E-12 0.1032971E-13 0.1835568E-13 333.73145 268.77621 64.95524 1550.48055 275.78499 0.00000 1.35319 47.36268 0.2152353E-12 -0.9714450E-14 -0.1125026E-13 333.50649 268.59503 64.91146 1545.16400 276.53962 0.00000 1.35540 46.73842 0.3102703E-12 0.3141931E-13 0.2048731E-12 333.50649 268.59503 64.91146 1539.99094 280.47958 0.00000 1.29955 42.97566 0.2466175E-12 -0.2647420E-13 0.2048731E-12 333.39417 268.50457 64.88959 1548.25314 271.82076 0.00000 1.45925 51.15653 0.9473890E-14 -0.2486900E-13 -0.3552714E-14 333.39417 268.50457 64.88959 1545.67277 273.88094 0.00000 1.39549 49.26052 0.2486900E-13 -0.2645107E-13 -0.3552714E-14 333.39417 268.50457 64.88959 1536.20367 278.87171 0.00000 1.31351 44.34935 0.8348877E-13 0.4296563E-13 -0.3552714E-14 333.28195 268.41420 64.86775 1533.10773 280.05637 0.00000 1.30797 43.29325 0.3141191E-12 0.2593296E-13 0.2398082E-12 333.28195 268.41420 64.86775 1530.70202 280.44832 0.00000 1.29740 42.82034 0.3028688E-12 0.8345175E-14 0.2398082E-12 333.16967 268.32377 64.84590 1529.67595 279.78108 0.00000 1.31261 43.51451 -0.1068775E-12 0.1324866E-13 -0.1948071E-12 • Example listing of output file GM-REP8.SUM developed as output from MAPSUM01 V1.0. mapsum01.ctl: 1999 UZ model 2 area mean glacial transition climate results (gm-5os) 9/1/99 input area file: total number of model cells in area: average elevation of model cells: repos8.dat 5231 1403.507 1503.000 1294.000 maximum model elevation: minimum model elevation: extracted from file: Total number of cells: Parameter Precipitation (mm/yr): Rain (mm/yr): Snow-fall (mm/yr): Snow cover (mm/yr): glacialm.dat5231Average Maximum Minimum323.06747 333.84400 311.82975272.79706 276.16370 266.9753450.27041 65.15376 37.75747948.27595 1552.67875 496.53430 Snow-melt (mm/yr): 44.61409 58.02922 32.53234 Sublimation (mm/yr): 5.60752 8.78785 2.21182 Evapotranspiration (mm/yr): 287.82413 477.84380 219.28758 Run-on infiltration (mm/yr): 11.95439 676.58013 0.00000 Stored water change (mm/yr): 1.82030 16.35798 -0.56969 Net infiltration (mm/yr): 19.78021 590.96199 0.00000 Run-off (mm/yr): 19.94089 92.67664 0.00000 Run-on (mm/yr): 202.82021 11553.51000 0.00000 Mass balance error (mm/yr): -0.16082E-13 0.79992E-11 -0.49241E-11 Max daily error (mm/dy): -0.26853E-15 0.49614E-12 -0.39888E-12 Mass balance 2 (mm/yr): 0.14078E-13 0.30553E-12 -0.32389E-12 Table XV-1. Comparison of selected summary statistics calculated in EXCEL using the file GM- REP8.MAP and summary statistics calculated by MAPSUM01. Parameter (mm/year) EXCEL worksheet calculation GN-REP8.SUM output file Precipitation 323.06747 333.84400 311.82975 323.06747 333.84400 311.82975 Rain 272.79706 276.16370 266.97534 272.79706 276.16370 266.97534 Snow Fall 50.27041 65.15376 37.75747 50.27041 65.15376 37.75747 Snow Melt 44.61409 58.02922 32.53234 44.61409 58.02922 32.53234 Sublimation 5.60752 8.78785 2.21182 5.60752 8.78785 2.21182 Evapo- Transpiration. 287.82413 477.84380 219.28758 287.82413 477.84380 219.28758 Run-on Infiltration 11.95439 676.58013 0.00000 11.95439 676.58013 0.00000 Stored Water Change 1.82030 16.35798 -0.56969 1.82030 16.35798 -0.56969 Net Infiltration 19.78021 590.96199 0.00000 19.78021 590.96199 0.00000 Run-off 19.94089 92.67664 0.00000 19.94089 92.67664 0.00000 Run-on 202.82021 11553.51000 0.00000 202.82021 11553.51000 0.00000 Table XV-2 Summary statistics for net infiltration Summary Statistics for net infiltration calculated by EXCEL and located in MAPSUM01.xls AVERAGE 19.78 MAX 590.96 MIN 0.00 Summary Statistics for net infiltration calculated by MAPSUM01 and located in output file (GM-REP8.SUM) AVERAGE 19.78 MAX 590.96 MIN 0.00 6. Listing of source code for MAPSUM01 V1.0 program mapsum01 c version 1.0 c c program for post-processing of main output from c program MAPADD20. MAPADD20 is used to create final output maps c for all output components (precip, et, net-infil, etc) generated c from INFIL2 MAPSUM01 post processing uses blanked c SURFER grids (ASCII xyz format) to define areas over which c the summary statistics are calculated. c c SURFER dat file (blanked grid) input variables double precision east,north,elev,space double precision east1(500000),north1(500000),elev1(500000) double precision avgelev,maxelev,minelev double precision maxeast,mineast,maxnorth,minnorth c c Input variables for main input file double precision easting(500000),northing(500000), 1 precip(500000),rain(500000),snowfall(500000),snowcov(500000), 2 snowmelt(500000),subl(500000),evap(500000),runinf(500000), 3 delsoil(500000),netinf(500000),runoff(500000), 4 runon(500000),massb(500000),maxmassb(500000),massb2(500000) c c output variables double precision avgppt,maxppt,minppt,avgrain,maxrain, 1 minrain,avgsnfl,maxsnfl,minsnfl,avgsncv,maxsncv,minsncv, 2 avgmelt,maxmelt,minmelt,avgsub,maxsub,minsub,avgevap, 3 maxevap,minevap,avgrinf,maxrinf,minrinf,avgdels,maxdels, 4 mindels,avginf,maxinf,mininf,avgoff,maxoff,minoff,avgon, 5 maxon,minon,avgmb,maxmb,minmb,avgmaxb,maxmaxb,minmaxb, 6 avgmb2,maxmb2,minmb2 c c general input variables character*120 header character*20 areafile,infile,outsum,outarea c c begin program: read-in control file open(unit=7,file='mapsum01.ctl') 15 format(a) read(7,15) header read(7,15) areafile read(7,*) space read(7,15) infile read(7,15) outsum read(7,15) outarea c open(unit=8,file=areafile) open(unit=9,file=infile) open(unit=20,file=outsum) open(unit=21,file=outarea) c c set header line for map output file c (this file used as input for TRANSFORM and SURFER) write(21,4925) 4925 format(5x,'easting',3x,'northing',1x,7x,'precip',9x,'rain', 1 4x,'snow-fall',3x,'snow-cover',4x,'snow-melt', 2 2x,'sublimation', 2 3x,'evapotrans',4x,'run-infil',5x,'del-soil', 3 4x,'net-infil',7x,'runoff',11x,'run-on', 4 5x,'mass-balance',6x,'max-balance', 5 2x,'mass-balance #2') c c c initialize statistics for areafile (SURFER blanked area) avgelev = 0. maxelev = -99999. minelev = 9999999999. maxeast = -99999. mineast = 9999999999. maxnorth = -99999. minnorth = 9999999999. c c read-in SURFER blanked area file (ASCII *.dat export file) n1 = 0 100 read(8,*,end=190) east,north,elev if(elev.lt.1.0e10) then n1 = n1+1 east1(n1) = east north1(n1) = north elev1(n1) = elev avgelev = avgelev + elev if(maxelev.lt.elev) maxelev = elev if(minelev.gt.elev) minelev = elev if(maxeast.lt.east) maxeast = east if(mineast.gt.east) mineast = east if(maxnorth.lt.north) maxnorth = north if(minnorth.gt.north) minnorth = north endif goto 100 c 190 avgelev = avgelev/n1 write(*,15) header write(20,15) header write(*,195) areafile,n1,avgelev,maxelev,minelev write(20,195) areafile,n1,avgelev,maxelev,minelev 195 format(//,'input area file: 1 /,'total number of model cells in area: 2 /,'average elevation of model cells: 3 /,'maximum model elevation: 4 /,'minimum model elevation: ',a20, ',i12, ',f12.3, ',f12.3, ',f12.3) c c read(9,15) header n = 1 200 read(9,*,end=290) easting(n),northing(n), 1 precip(n),rain(n),snowfall(n),snowcov(n), 2 snowmelt(n),subl(n),evap(n),runinf(n), 3 delsoil(n),netinf(n),runoff(n), 4 runon(n),massb(n),maxmassb(n),massb2(n) n = n + 1 goto 200 290 n = n-1 c c initialize statistics avgppt = 0. maxppt = -999999. minppt = 9999999. avgrain = 0. maxrain = -999999. minrain = 9999999. avgsnfl = 0. maxsnfl = -999999. minsnfl = 9999999. avgsncv = 0. maxsncv = -999999. minsncv = 9999999. avgmelt = 0. maxmelt = -999999. minmelt = 9999999. avgsub = 0. maxsub = -999999. minsub = 9999999. avgevap = 0. maxevap = -999999. minevap = 9999999. avgrinf = 0. maxrinf = -999999. minrinf = 9999999. avgdels = 0. maxdels = -999999. mindels = 9999999. avginf = 0. maxinf = -999999. mininf = 9999999. avgoff = 0. maxoff = -999999. minoff = 9999999. avgon = 0. maxon = -999999. minon = 9999999. avgmb = 0. maxmb = -999999. minmb = 9999999. avgmaxb = 0. maxmaxb = -999999. minmaxb = 9999999. avgmb2 = 0. maxmb2 = -999999. minmb2 = 9999999. c c extract area statistics n2 = 0 do 500 i = 1,n if(((easting(i).lt.maxeast+space).and. 1 (easting(i).gt.mineast-space)).and. 2 ((northing(i).lt.maxnorth+space).and. 3 (northing(i).gt.minnorth-space))) then do 520 j = 1,n1 if(((easting(i).lt.east1(j)+space).and. 1 (easting(i).gt.east1(j)-space)).and. 2 ((northing(i).lt.north1(j)+space).and. 3 (northing(i).gt.north1(j)-space))) then c avgppt = avgppt + precip(i) if(precip(i).gt.maxppt) maxppt = precip(i) if(precip(i).lt.minppt) minppt = precip(i) avgrain = avgrain + rain(i) if(rain(i).gt.maxrain) maxrain = rain(i) if(rain(i).lt.minrain) minrain = rain(i) avgsnfl = avgsnfl + snowfall(i) if(snowfall(i).gt.maxsnfl) maxsnfl = snowfall(i) if(snowfall(i).lt.minsnfl) minsnfl = snowfall(i) avgsncv = avgsncv + snowcov(i) if(snowcov(i).gt.maxsncv) maxsncv = snowcov(i) if(snowcov(i).lt.minsncv) minsncv = snowcov(i) avgmelt = avgmelt + snowmelt(i) if(snowmelt(i).gt.maxmelt) maxmelt = snowmelt(i) if(snowmelt(i).lt.minmelt) minmelt = snowmelt(i) avgsub = avgsub + subl(i) if(subl(i).gt.maxsub) maxsub = subl(i) if(subl(i).lt.minsub) minsub = subl(i) avgevap = avgevap + evap(i) if(evap(i).gt.maxevap) maxevap = evap(i) if(evap(i).lt.minevap) minevap = evap(i) avgrinf = avgrinf + runinf(i) if(runinf(i).gt.maxrinf) maxrinf = runinf(i) if(runinf(i).lt.minrinf) minrinf = runinf(i) avgdels = avgdels + delsoil(i) if(delsoil(i).gt.maxdels) maxdels = delsoil(i) if(delsoil(i).lt.mindels) mindels = delsoil(i) avginf = avginf + netinf(i) if(netinf(i).gt.maxinf) maxinf = netinf(i) if(netinf(i).lt.mininf) mininf = netinf(i) avgoff = avgoff + runoff(i) if(runoff(i).gt.maxoff) maxoff = runoff(i) if(runoff(i).lt.minoff) minoff = runoff(i) avgon = avgon + runon(i) if(runon(i).gt.maxon) maxon = runon(i) if(runon(i).lt.minon) minon = runon(i) avgmb = avgmb + massb(i) if(massb(i).gt.maxmb) maxmb = massb(i) if(massb(i).lt.minmb) minmb = massb(i) avgmaxb = avgmaxb + maxmassb(i) if(maxmassb(i).gt.maxmaxb) maxmaxb = maxmassb(i) if(maxmassb(i).lt.minmaxb) minmaxb = maxmassb(i) avgmb2 = avgmb2 + massb2(i) if(massb2(i).gt.maxmb2) maxmb2 = massb2(i) if(massb2(i).lt.minmb2) minmb2 = massb2(i) c c write output to extracted map data file write(21,595) easting(i),northing(i),precip(i), 1 rain(i),snowfall(i),snowcov(i),snowmelt(i),subl(i), 2 evap(i),runinf(i),delsoil(i),netinf(i),runoff(i), 3 runon(i),massb(i),maxmassb(i),massb2(i) c 595 format(1x,2f11.1,1x,11f13.5,4(1x,g16.7)) c n2 = n2 + 1 c endif 520 continue endif 500 continue c c error trap if(n2.ne.n1) stop c avgppt = avgppt/float(n2) avgrain = avgrain/float(n2) avgsnfl = avgsnfl/float(n2) avgsncv = avgsncv/float(n2) avgmelt = avgmelt/float(n2) avgsub = avgsub/float(n2) avgevap = avgevap/float(n2) avgrinf = avgrinf/float(n2) avgdels = avgdels/float(n2) avginf = avginf/float(n2) avgoff = avgoff/float(n2) avgon = avgon/float(n2) avgmb = avgmb/float(n2) avgmaxb = avgmaxb/float(n2) avgmb2 = avgmb2/float(n2) c c write summary statistics to summary output file write(*,605) infile write(20,605) infile 605 format(//,'extracted from file: ',a20) c write(*,7005) n2,avgppt,maxppt,minppt,avgrain,maxrain, 1 minrain,avgsnfl,maxsnfl,minsnfl,avgsncv,maxsncv,minsncv, 2 avgmelt,maxmelt,minmelt,avgsub,maxsub,minsub,avgevap, 3 maxevap,minevap,avgrinf,maxrinf,minrinf,avgdels,maxdels, 4 mindels,avginf,maxinf,mininf,avgoff,maxoff,minoff,avgon, 5 maxon,minon,avgmb,maxmb,minmb,avgmaxb,maxmaxb, 6 minmaxb,avgmb2,maxmb2,minmb2 c write(20,7005) n2,avgppt,maxppt,minppt,avgrain,maxrain, 1 minrain,avgsnfl,maxsnfl,minsnfl,avgsncv,maxsncv,minsncv, 2 avgmelt,maxmelt,minmelt,avgsub,maxsub,minsub,avgevap, 3 maxevap,minevap,avgrinf,maxrinf,minrinf,avgdels,maxdels, 4 mindels,avginf,maxinf,mininf,avgoff,maxoff,minoff,avgon, 5 maxon,minon,avgmb,maxmb,minmb,avgmaxb,maxmaxb, 6 minmaxb,avgmb2,maxmb2,minmb2 c 7005 format(//1x,'Total number of cells: ',i12/, c 1/1x,'Parameter ','Average ',3x, 2'Maximum ',3x,'Minimum',/ c 1/1x,'Precipitation (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 2/1x,'Rain (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 3/1x,'Snow-fall (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 4/1x,'Snow cover (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 5/1x,'Snow-melt (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 6/1x,'Sublimation (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 7/1x,'Evapotranspiration (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 8/1x,'Run-on infiltration (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 9/1x,'Stored water change (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 1/1x,'Net infiltration (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 2/1x,'Run-off (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 3/1x,'Run-on (mm/yr): ',f12.5,3x,f12.5,3x,f12.5, 4/1x,'Mass balance error (mm/yr): ',g12.5,3x,g12.5,3x,g12.5, 5/1x,'Max daily error (mm/dy): ',g12.5,3x,g12.5,3x,g12.5, 6/1x,'Mass balance 2 (mm/yr): ',g12.5,3x,g12.5,3x,g12.5) close(20) close(21) stop end