Appendix F: Job Aid for Step 4

Job Aid 4-1. Earthquake Module Outputs for Risk Assessment 


Table title: Ground Motion/Site Effect Output

Input: Deterministic Event	
Description of Output: HAZUS-MH determines Census tract ground motion and 
develops region-wide ground motion contour maps based on a user-defined scenario 
event.	
Measure:
a. Census Tract Ground Shaking
b. Peak Ground Acceleration Contour Maps
c. Spectral Contour Maps

Input: USGS Probabilistic Seismic Hazard Maps	
Description of Output: HAZUS-MH includes spectral contour maps at two seismic 
hazard levels: 2 percent probability of exceedance in 50 years and 10 percent 
probability of exceedance in 50 years.
Measure:
a. PGA Contour Maps
b. Spectral Contour Maps

Input: User-Supplied Ground Shaking Maps
Output:	The user supplies region-wide ground motion contour maps that are 
used as the ground motion inputs to HAZUS-MH.
Measure:
a. Census Tract Ground Shaking
b. PGA Contour Mapsc. Spectral Contour Maps


Table title: Ground Deformation Output

Input: Liquefaction	
Output: HAZUS-MH determines the probability of and expected level of permanent 
ground deformations for liquefaction-susceptible sites during the deterministic, 
probabilistic, or user-defined event.
Measure:
a. Peak Ground Acceleration Contour Maps
b. Location-Specific PGD

Input: Landslide	
Output: HAZUS-MH determines the probability of and expected level of permanent 
ground deformations for landslide-susceptible sites during the deterministic, 
probabilistic, or user-defined event.
Measure:
a. PGD Contour Maps
b. Location-Specific PGD

Input: Surface Fault Rupture
Output:	HAZUS-MH determines the probability of an expected level of 
permanent ground deformations for surface fault rupture-susceptible sites during 
the deterministic, probabilistic, or user-defined event.	
Measure:
a. PGD Contour Maps
b. Location-Specific PGD


Table title: Indirect Economic Impact Module Output
Component: Economic Output	
Output: HAZUS-MH determines the indirect economic output loss as a percentage of 
the original output.	
Measure: Percentage

Component: Employment	
Output: HAZUS-MH determines the indirect employment loss as a percentage of the 
original employment.	
Measure: Percentage

Component: Income	
Output: HAZUS-MH determines the indirect income loss as a percentage of the 
original income.	
Measure: Percentage


Table title: Direct Physical Damage - General Building Stock
Input: Model Building Type	
Output: HAZUS-MH determines the damage state probabilities for each model 
building type by census tract in the study region. Results are presented for 
each design level and construction quality bias. Damage state probabilities are 
determined for (1) structural elements, (2) non-structural drift-sensitive 
elements, and (3) non-structural acceleration-sensitive elements.	
Measure:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Building Counts

Input: General Building Type	
Output: HAZUS-MH determines the damage state probabilities for each of seven 
general building types by Census tract in the study region. Results are 
presented for each design level and construction quality bias. Damage state 
probabilities are determined for (1) structural elements, (2) non-structural 
drift-sensitive elements, and (3) non-structural acceleration-sensitive 
elements.	
Measure:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Building Counts

Input: Specific Occupancy Class	
Output: HAZUS-MH determines the damage state probabilities for each of 28 
specific occupancy classes by Census tract in the study region. Results are 
presented for each construction quality bias. Damage state probabilities are 
determined for (1) structural elements, (2) non-structural drift-sensitive 
elements, and (3) non-structural acceleration-sensitive elements.	
Measure:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Occupancy Counts

Input: General Occupancy Class	
Output: HAZUS-MH determines the damage state probabilities for each of six 
general occupancy classes by Census tract in the study region. Damage state 
probabilities are determined for (1) structural elements, (2) non-structural 
drift-sensitive elements, and (3) non-structural acceleration-sensitive 
elements.	
Measure: 
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Occupancy Counts


Table title: Direct Physical Damage - Essential Facilities

Facility Type: Health Care Facilities	
Output: HAZUS-MH determines the damage state probabilities for each health care 
facility in the study region. Damage state probabilities are determined for (1) 
structural elements, (2) non-structural drift-sensitive elements, and (3) non-
structural acceleration-sensitive elements.  The expected reduction in available 
beds for each facility is also determined.
Measures:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Loss of Beds and Facility Functionality

Facility type: Police and Fire Stations, Emergency Operation Centers, Schools	
Output: HAZUS-MH determines the damage state probabilities for each facility in 
the study region.  Damage state probabilities are determined for (1) structural 
elements, (2) non-structural drift-sensitive elements, and (3) non-structural 
acceleration-sensitive elements.	
Measure:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Functionality at Day 1


Table title: Direct Physical Damage - High Potential Loss Facilities (Provides 
placeholders for qualitative analyses.)

Component: Dams	
Output: HAZUS-MH provides the locations of dams in the study region.	Measure: 
List of and Locations of Dams

component: Nuclear Facilities	
Output: HAZUS-MH provides the locations of nuclear power facilities in the study 
region.	
Measure: List of and Locations of Nuclear Power Facilities

Component: Military Facilities	
Output: HAZUS-MH determines the damage state probabilities for each facility in 
the study region. Damage state probabilities are determined for (1) structural 
elements, (2) non-structural drift-sensitive elements, and (3) non-structural 
acceleration-sensitive elements.	
Measure:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities


Direct Physical Damage - Transportation Systems

System: Highway, Railway, Light Rail, Bus, Ferry, Port, Airport	
Output:
a. HAZUS-MH determines the damage state probabilities for each transportation 
system component in the study region.
b. HAZUS-MH determines the probability of functionality for each transportation 
system component at discrete time intervals.	
Measure: 
a. System Damage State Probabilities
b. Probability of System Functionality


Table title: Direct Physical Damage - Utility Systems
System: Potable Water	
Output: 
a. HAZUS-MH determines the damage state probabilities for each potable water 
system component in the study region.
b. HAZUS-MH determines the probability of functionality for each potable water 
system component at discrete time intervals.
c. HAZUS-MH supports simplified potable water system analysis for the study 
region.	
Measure:
a. System Damage State Probabilities
b. System Probability of Functionality
c. Number of Households without Water

System: Wastewater, Crude and Refined Natural Gas, Oil Pipelines, Communication
	
Output:
a. HAZUS-MH determines the damage state probabilities for each system component 
in the study region.
b. HAZUS-MH determines the probability of functionality for each system 
component at discrete time intervals.	
Measure:
a. System Damage State Probabilities
b. System Probability of Functionality 

System: Electric Power	
Output: a. HAZUS-MH determines the damage state probabilities for each electric 
power system component in the study region.
b. HAZUS-MH determines the probability of functionality for each electric power 
system component at discrete time intervals.
c. HAZUS-MH supports simplified electric power system analysis for the study 
region.	
Measure:
a. System Damage State Probabilities
b. System Probability of Functionality
c. Number of Households without Power


Table title: Indirect Physical Damage – Inundation

Component: Tsunami	
Output:
a. The methodology provides rules to determine whether tsunamis are a threat to 
the study region.
b. The user can import existing tsunami inundation maps and overlay them with 
population and economic value maps.
Measure:	a. Qualify Potential Threat
b. Exposed Population Exposed Value ($1,000)

Component: Seiche	
Output: 
a. The methodology provides rules to determine if seiches are a threat on any 
body of water in the study region.
b. The user can import existing seiche inundation maps and overlay them with 
population and economic value maps.	
Measure:
a. Qualify Potential Threat
b. Exposed Population Exposed Value ($)

Component: Dam Failure	
Output:
a. HAZUS-MH displays the locations of all dams in the study region and (for the 
default database) ranks the potential impact of the dam failure.
b. The user can import existing dam failure inundation maps and overlay with 
population and economic value maps.	
Measure:
a. List of and Locations of Dams and Quantification of Potential Hazard
b. Exposed Population Exposed Value ($)

Component: Levee Failure	
Output:
a. HAZUS-MH displays the locations of the levees in the study region.
b. The user can import existing levee failure inundation maps and overlay them 
with population and economic value maps.	
Measure:
a. List of and Locations of Levees
b. Exposed Population


Table title: Induced Physical Damage - Fire Following Earthquake 
Component: Ignition	
Output: HAZUS-MH determines the expected number of fire ignitions by census 
tract for the study region.	
Measure: Number of Ignitions

Component: Burned Area	
Output: 
a. HAZUS-MH determines the expected burned area by Census tract for the study 
region.
b. The expected burned area is combined with population and economic value to 
estimate the exposed population and inventory.	
Measure:
a. Percentage of Burned Area
b. Exposed Population Exposed Value ($)


Table title: Induced Physical Damage – Debris
Component: Brick, Wood, and Others	
output: HAZUS-MH determines the expected amount of brick, wood, and other debris 
that would be generated in each Census tract of the study region.	Measure: 
Weight of Debris Generated

Component: Reinforced Concrete and Steel	
Output: HAZUS-MH determines the expected amount of reinforced concrete and steel 
debris that would be generated in each Census tract of the study region.	
Measure: Weight of Debris Generated


Table title: Direct Economic and Social Losses - Shelter
Component: Displaced Households	
Output: HAZUS-MH determines the expected number of displaced households by 
Census tract for the study region.	
Measure: Number of Displaced Households

Component: Temporary Shelter	
Output: HAZUS-MH determines the expected number of people requiring temporary 
shelter by Census tract for the study region.	Measure: Number of People 
Requiring Temporary Shelter


Table title: Direct Economic and Social Losses - Casualties
Component: Casualties	
Output: HAZUS-MH determines the expected number of casualties for each level of 
casualty severity (medical aid, hospital treatment, life-threatening, death) by 
Census tract for the study region.	
Measure: Number of Casualties for Each of the Four Severities


Table title: Direct Economic Loss – Buildings
Component: Repair and Replacement Costs	
Output: HAZUS-MH determines the expected dollar loss due to repair and 
replacement of the general building stock by Census tract for the study region.
	
Measure: Dollar Loss

Component: Content Damage	
Output: HAZUS-MH determines the expected dollar loss due to content damage by 
Census tract for the study region.	
Measure: Dollar Loss

Component: Business Inventory Damage	
Output: HAZUS-MH determines the expected dollar loss due to business inventory 
damage by Census tract for the study region.	Measure: Dollar Loss

Component: Relocation Costs
Output: HAZUS-MH determines the expected dollar loss due to business relocation 
by Census tract for the study region.	
Measure: Dollar Loss

Component: Capital-Related Income Loss	
Output: HAZUS-MH determines the expected business income loss by Census tract 
for the study region.	
Measure: Dollar Loss

Component: Wage Loss	
Output: HAZUS-MH determines the expected wage loss by Census tract for the study 
region.	
Measure: Dollar Loss

Component: Rental Loss	
Output: HAZUS-MH determines the expected dollar loss due to repair and 
replacement of rental buildings by Census tract for the study region.	Measure: 
Dollar Loss


Table title: Direct Economic Loss - Lifelines

Component: Repair and Replacement Costs	
Output: The methodology determines the expected dollar loss due to repair and 
replacement of lifeline components.	Measure: Dollar Loss



JOB AID 4-2: COASTAL STORMS (HURRICANE) MODULE OUTPUTS FOR RISK ASSESSMENT

Table title: Wind Speed
Input: Return Period (50 years, 100 years, and so on)	
Output: HAZUS-MH estimates the maximum 3-second gusts in open terrain at 10 
meters above the ground at the centroid of each census tract.	
Measure: Peak Wind Gust 


Table title: Direct Physical Damage - General Building Stock

Input: Model Building Type	
Output: HAZUS-MH determines the damage state probability for each model building 
type by Census tract for the study region. Results are presented for each design 
level and construction quality bias. For probabilistic scenarios, one of seven 
return periods must be selected.	
Measure:
a.  Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Building Counts

Input: General Building Type	
Output: HAZUS-MH determines the damage state probability for each general 
building type by Census tract for the study region. Results are presented for 
each design level and construction quality bias. For probabilistic scenarios, 
one of seven return periods must be selected.
Measure:	a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Building Counts

Input: Specific Occupancy Class	
Output: HAZUS-MH determines the damage state probability for each specific 
occupancy class by Census tract for the study region. Results are presented for 
each construction quality bias. For probabilistic scenarios, one of seven return 
periods must be selected.	
Measure:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Occupancy Counts

Input: General Occupancy Class	
Output: HAZUS-MH determines the damage state probability for each general 
occupancy class by Census tract for the study region. For probabilistic 
scenarios, one of seven return periods must be selected.	
Measure:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Occupancy Counts


Table title: Direct Physical Damage - Essential Facilities

Facility Type: Health Care Facilities	
Output: HAZUS-MH determines the damage state probabilities for each health care 
facility in the study region.  For probabilistic scenarios, one of seven return 
periods must be selected.	
Measure: 
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Loss of Beds and Facility Functionality

Facility: Police and Fire Stations, Emergency Operation Centers, Schools
	Output: HAZUS-MH determines the damage state probabilities for each 
facility in the study region. For probabilistic scenarios, one of seven return 
periods must be selected.	
Measure: 
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities 
c. Functionality at Day 1


Table title: Induced Physical Damage - Debris

Component: Brick, Wood, and Others	
Output: HAZUS-MH determines the expected amount of brick, wood, and other debris 
that would be generated in each Census tract of the study region.	
Measure: Weight of Debris Generated

component: Reinforced Concrete and Steel
output: HAZUS-MH determines the expected amount of reinforced concrete and steel 
debris that would be generated in each Census tract of the study region.	
measure: Weight of Debris Generated

Component: Trees	
Output: HAZUS-MH determines the expected amount of tree debris that would be 
generated in each Census tract of the study region.	
measure: 
a. Weight of Debris Generated
b. Volume of Debris Generated


Table title: Direct Economic and Social Losses - Shelter

Component: Displaced Households
Output:	HAZUS-MH determines the expected number of displaced households by 
Census tract for the study region.	
Measure: Number of Displaced Households

Component: Temporary Shelter	
Output: HAZUS-MH determines the expected number of people requiring temporary 
shelter by Census tract for the study region.	Measure: Number of People 
Requiring Temporary Shelter


Table title: Direct Economic Loss - Buildings

Component:  Repair and Replacement Costs	
Output: HAZUS-MH determines the expected dollar loss due to repair and 
replacement of the general building stock by Census tract for the study region.
	
Measure: Dollar Loss

Component: Content Damage	
Output: HAZUS-MH determines the expected dollar loss due to content damage by 
Census tract for the study region.	
Measure: Dollar Loss

Component: Business Inventory Damage	
Output: HAZUS-MH determines the expected dollar loss due to business inventory 
damage by Census tract for the study region.	Measure: Dollar Loss

Component: Relocation Costs	
Output: HAZUS-MH determines the expected dollar loss due to business relocation 
by Census tract for the study region.	
Measure: Dollar Loss

Component: Capital-Related Income Loss	
Output: HAZUS-MH determines the expected business income loss by Census tract 
for the study region.	
Measure: Dollar Loss

Component: Wage Loss	
Output: HAZUS-MH determines the expected wage loss by Census tract for the study 
region.	
Measure: Dollar Loss

Component: Rental Loss	
Output: HAZUS-MH determines the expected dollar loss due to repair and 
replacement of rental buildings by Census tract for the study region.	Measure: 
Dollar Loss


Table title: Indirect Economic Impact Module Output

Component: Economic Output	
Output: HAZUS-MH determines the indirect output loss as a percentage of the 
original output.	
Measure: Percentage

Component: Employment	
Output: HAZUS-MH determines the indirect employment loss as a percentage of the 
original employment.	
Measure: Percentage


Table title: Indirect Economic Impact Module Output

Component: Economic Output	
Output: HAZUS-MH determines the indirect output loss as a percentage of the 
original output.	
Measure: Percentage

Component: Employment	
Output: HAZUS-MH determines the indirect employment loss as a percentage of the 
original employment.	
Measure: Percentage


Table title: Flood Depth Output

Input: Riverine Event	
Output: For a riverine flood, HAZUS-MH determines the depth of the flood and 
creates a flood depth grid map of the flooded area within the study region. 	
Measure:
a. Flood Elevations
b. Flood Depth Grid 

Input: Coastal Event	
Output: For a coastal flood, HAZUS-MH determines the ground surface area 
subjected to erosion; the flood surface, including wave heights; and the depth 
of the coastal flooding.	
Measure:
a. Eroded Ground Surface
b. Flood Surface Considering Wave Height and Runup
c. Flood Depth


Table title: Direct Physical Damage - General Building Stock

Input: Model Building Type	
output: HAZUS-MH determines the damage state probability for each model building 
type by Census tract for the study region. Results are presented for each design 
level and construction quality bias. For probabilistic scenarios, one of seven 
return periods must be selected.	
Measure
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Building Counts

Input: General Building Type	
Output: HAZUS-MH determines the damage state probability for each general 
building type by Census tract for the study region. Results are presented for 
each design level and construction quality bias. For probabilistic scenarios, 
one of seven return periods must be selected.	
Measure:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Building Counts

Input: Specific Occupancy Class	
Output: HAZUS-MH determines the damage state probability for each specific 
occupancy class by Census tract for the study region. Results are presented for 
each construction quality bias. For probabilistic scenarios, one of seven return 
periods must be selected.	
Measure:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Occupancy Counts

Input: General Occupancy Class	
Output: HAZUS-MH determines the damage state probability for each general 
occupancy Class by Census tract for the study region. For probabilistic 
scenarios, one of seven return periods must be selected.	
Measure:
a. Structural Damage State Probabilities
b. Non-structural Damage State Probabilities
c. Structural Damage State Occupancy Counts


Table title: Direct Economic Loss – Buildings

Component: Repair and Replacement Costs	
Output: HAZUS-MH determines the expected dollar loss due to repair and 
replacement of the general building stock by Census tract for the study region.
	
Output: Dollar Loss

Component: Content Damage	
Output: HAZUS-MH determines the expected dollar loss due to content damage by 
Census tract for the study region.	
Measure: Dollar Loss

Component: Business Inventory Damage	
Output: HAZUS-MH determines the expected dollar loss due to business inventory 
damage by Census tract for the study region.	Measure: Dollar Loss

Component: Relocation Costs	
Output: HAZUS-MH determines the expected dollar loss due to business relocation 
by Census tract for the study region.	
Measure: Dollar Loss

Component: Capital-Related Income Loss	
Output: HAZUS-MH determines the expected business income loss by Census tract 
for the study region.	
Measure: Dollar Loss

Component: Wage Loss	
Output: HAZUS-MH determines the expected wage loss by Census tract for the study 
region.	
Measure: Dollar Loss

Component: Rental Loss	
Output: HAZUS-MH determines the expected dollar loss due to repair and 
replacement of rental buildings by Census tract for the study region.	Measure: 
Dollar Loss


Table title: Direct Physical Damage - Essential Facilities

Facility Type: Police and Fire Stations, Emergency Operation Centers, Schools, 
Health Care Facilities	
Output: HAZUS-MH determines the damage state probabilities for each essential 
facility in the study region.  The building and content losses are calculated, 
the functionality is determined, and the time to restore the facility to 100 
percent functionality is determined for each essential facility.	
Measure:
a. Building and Content Losses
b. Functionality Assessment (yes/no)
c. Restoration Time to 100 Percent Functionality


Table title: Direct Physical Damage - Transportation Systems

System: Highway, Light Rail, Railway, Bus, Ferry, Port, Airport	
Output:
a. HAZUS-MH determines the damage state probability for each transportation 
system component in the study region.
b. HAZUS-MH determines the probability of functionality for each transportation 
system component at discrete time intervals.	
Measure:
a. Structure and Equipment Losses
b. Functionality Assessment (yes/no)


Title: Direct Physical Damage - Utility Systems

System: Potable Water, Wastewater, Crude and Refined Oil Pipelines, Natural Gas, 
Communication, Electric Power	
Output: 
a. HAZUS-MH determines the structural and equipment losses.
b. HAZUS-MH determines whether the utility will be functional.	
Measure:
a. Structure and Equipment Losses
b. Functionality Assessment (yes/no)


Table title: Direct Economic and Social Losses – Shelter

Component: Displaced Households	
Output: HAZUS-MH determines the expected number of displaced households by 
Census tract for the study region.	
Measure: Number of Displaced Households

Component: Temporary Shelter	
Output: HAZUS-MH determines the expected number of people requiring temporary 
shelter by Census tract for the study region.	Measure: Number of People 
Requiring Temporary Shelter


Table title: Direct Economic and Social Losses – Vehicles
Component: Vehicles	
Output: HAZUS-MH determines the expected damage to the vehicles in the study 
region.	
Measure: Vehicle Losses

         
Table title: Direct Economic and Social Losses - Agricultural
Component: Agriculture	
Output: HAZUS-MH determines the expected damage to the agriculture in the study 
region.	
Measure: Crop Losses


Table title: Indirect Economic Impact Module Output

Component: Employment	
Output: HAZUS-MH determines the indirect employment loss as a percentage of the 
original employment by market sector (agriculture, mining, construction, 
manufacturing, transportation, trade, services, government, and miscellaneous).
	
Measure: 
a. Percentage with Aid
b. Percentage without Aid

Component: Income	
Output: HAZUS-MH determines the indirect income loss as a percentage of the 
original income by market sector (agriculture, mining, construction, 
manufacturing, transportation, trade, services, government, and miscellaneous).
	
Measure: 
a. Percentage with Aid
b. Percentage without Aid


Job Aid 4-4. Mitigation Wizard Figures and Tables

Mitigation Wizard Figures and Tables 
Figure 1: County Map 
Figure 2: Probabilistic Hazard Maps 
Table 1: Building Inventory by General Occupancy 
Table 2: Building Inventory by General Building Type 
Figure 3: Historical Hazard Events 
Table 3: Transportation System Lifeline Inventory 
Table 4: Utility System Lifeline Inventory 
Table 5: Essential Facility Inventory 
Figure 6: Map of Schools 
Table 6: Population by Age and Gender 
Table 7: Population by Ethnicity 
Table 8: Household Distribution by Annual Income 
Table 9: Household Distribution by Residence Type 
Figure 7: Population Density Map 
Figure 8: Hazardous Material Facilities 
Figure 9: Dams 
Table 10: Building Damage by General Occupancy 
Table 11: Building Damage by Building Type 
Table 12: Economic Loss by General Occupancy 
Table 13: Transportation System Lifeline Losses 
Table 14: Utility System Lifeline Losses 
Table 15: Building Damage for Essential Facilities 
Table 16: Casualty Estimates