Sender: schwab@glerl.noaa.gov Date: Mon, 30 Oct 2000 09:15:01 -0500 From: David Schwab X-Accept-Language: en To: eegle-mod@wings.glerl.noaa.gov, eegle-sed@wings.glerl.noaa.gov CC: richardson.william@epamail.epa.gov Subject: Lake Michigan shoreline and tributary mass loadings Hi all, I'm attaching two files that contain estimates of annual shoreline erosion (by county) and tributary mass loadings (by tributary) for Lake Michigan. We plan to use these numbers in sediment dynamics modeling simulations for EEGLE here at GLERL. The shoreline erosion numbers are from Montieth, T.J. and Sonzogni, W.C., 1976. U.S. Great Lakes shorline erosion loadings. Technical report of the Great Lakes Pollution from Land Use Activities Group, International Joint Commission. The river loadings for 1974-75 are from Sonzogni, W.C., Montieth, T.J., Bach, W.N., and Hughes, V.G., 1978. U.S. Great Lakes tributary loadings. Technical report of the Great Lakes Pollution from Land Use Activities Group, International Joint Commission. The river loadings for 1994-95 are from the USEPA Lake Michigan Mass Balance Study, courtesy of Bill Richardson. The shoreline and loadings represent the clay and loam components from Monteith and Sonzogni and the tributary loadings are total suspended solids. Please let me know if you have any comments or questions. ... Dave S. -- Dr. David J. Schwab NOAA Great Lakes Environmental Research Laboratory 2205 Commonwealth Blvd. Ann Arbor, MI 48105 734-741-2120 734-741-2055 (FAX) Estimation of Lake Michigan shoreline erosion loads by soil texture classification from Monteith and Sonzogni (1976). Monteith and Sonzogni (1976) provided county by county estimates of the average volume of material eroded (Table 17), but did not provide the breakdown of the material into their three soil texture categories (sand, loam, clay), even though the breakdown is reported on the sample worksheet for Charlevoix county (Table 15). They also reported loadings of 12 different chemical loadings by county. The chemical loadings were based on the amounts of sand, loam, and clay eroded from each county using the chemical analysis by soil texture described in Table 8. By inverting this procedure, we should be able to infer the amounts of sand, loam, and clay for each county. This is an overdetermined problem (12 equations in 3 unknowns) so a least-squares approach is used. The results are as follows: 1 2 3 4 5 6 7 8 9 10 35 0.000075 0.009712 -0.000041 0.009747 0.92 0.01 1.00 0.00 0.00 36 -0.000214 0.009085 0.000008 0.008879 1.12 -0.02 1.02 0.00 0.00 37 0.005044 -0.000033 0.004649 0.009660 0.91 0.52 0.00 0.48 0.01 38 0.001369 0.356558 0.000263 0.358189 0.98 0.00 1.00 0.00 0.00 39 0.006727 0.024264 0.016126 0.047117 0.99 0.14 0.51 0.34 0.00 40 0.165602 0.218539 -0.000028 0.384113 0.98 0.43 0.57 0.00 0.00 41 0.013944 0.182316 -0.000054 0.196206 0.97 0.07 0.93 0.00 0.00 42 -0.004770 1.535799 -0.000521 1.530508 0.98 0.00 1.00 0.00 0.00 43 -0.001788 0.453066 0.502651 0.953930 0.98 0.00 0.47 0.53 0.00 44 0.140408 0.306974 -0.000047 0.447335 0.98 0.31 0.69 0.00 0.00 45 0.214327 0.004805 0.000033 0.219165 0.98 0.98 0.02 0.00 0.00 46 0.050151 0.691644 -0.000245 0.741550 0.98 0.07 0.93 0.00 0.00 47 -0.000892 0.222760 -0.000082 0.221787 0.97 0.00 1.00 0.00 0.00 48 0.074687 -0.000138 0.000001 0.074550 0.97 1.00 0.00 0.00 0.00 49 0.918301 -0.001481 0.000230 0.917050 0.98 1.00 0.00 0.00 0.00 50 0.138333 -0.000245 0.000044 0.138132 0.98 1.00 0.00 0.00 0.00 21 1.451708 -0.002338 0.000397 1.449767 0.98 1.00 0.00 0.00 0.00 22 0.646830 -0.000988 0.000157 0.645998 0.98 1.00 0.00 0.00 0.00 23 2.157810 -0.003577 0.000618 2.154852 0.98 1.00 0.00 0.00 0.00 24 1.255404 -0.002138 0.000357 1.253624 0.98 1.00 0.00 0.00 0.00 25 0.989522 -0.001603 0.000262 0.988181 0.98 1.00 0.00 0.00 0.00 26 0.600608 0.275649 0.000130 0.876386 0.98 0.69 0.31 0.00 0.00 27 0.904371 -0.001414 0.000215 0.903173 0.99 1.00 0.00 0.00 0.00 28 0.691529 0.084679 0.000185 0.776393 0.98 0.89 0.11 0.00 0.00 29 0.948412 -0.000764 -0.000107 0.947541 0.99 1.00 0.00 0.00 0.00 30 3.507380 0.246612 0.000900 3.754891 0.98 0.93 0.07 0.00 0.00 31 0.532526 -0.000893 0.012234 0.543867 0.98 0.98 0.00 0.02 0.00 32 0.041058 0.000002 -0.000003 0.041056 0.97 1.00 0.00 0.00 0.00 33 0.033979 0.000179 -0.000008 0.034149 0.99 1.00 0.01 0.00 0.00 34 0.384703 0.010056 0.000107 0.394865 0.98 0.97 0.03 0.00 0.00 17 0.401655 -0.000666 0.000112 0.401101 0.98 1.00 0.00 0.00 0.00 18 0.052329 -0.000170 0.000056 0.052215 0.99 1.00 0.00 0.00 0.00 19 -0.000722 0.293624 -0.000127 0.292775 0.98 0.00 1.00 0.00 0.00 20 0.034235 -0.000217 0.000041 0.034059 0.99 1.01 -0.01 0.00 0.00 99 16.355038 4.908917 0.538868 21.802822 1.00 0.75 0.23 0.02 0.00 1 = county ID number (99=lakewide total) 2 = estimated sand (1.e9 kg/yr) 3 = estimated loam(1.e9 kg/yr) 4 = estimated clay(1.e9 kg/yr) 5 = estimated total(1.e9 kg/yr) 6 = estimated total / reported total 7 = fraction sand 8 = fraction loam 9 = fraction clay 10= standard error The total loam and sand (1.e9 kg/yr) ranked by county is: 1 42 1.535279 0.282 43.3727 -87.8582 Ozaukee 2 43 0.955718 0.457 43.0188 -87.8707 Milwaukee 3 46 0.691399 0.584 42.3232 -87.8102 Lake Ill. 4 38 0.356821 0.650 44.5266 -87.5050 Kewaunee 5 44 0.306928 0.706 42.7562 -87.7878 Racine 6 19 0.293497 0.760 45.7702 -86.8114 Delta 7 26 0.275778 0.810 43.6488 -86.4936 Oceana 8 30 0.247512 0.856 45.0076 -85.7202 Leelanau 9 47 0.222678 0.897 41.9305 -87.6324 Cook 10 40 0.218511 0.937 44.1149 -87.6100 Manitowoc 11 41 0.182262 0.970 43.7181 -87.7301 Sheboygan 12 28 0.084863 0.986 44.3496 -86.2885 Manistee 13 39 0.040390 0.993 44.9984 -87.2679 Door 14 31 0.011341 0.995 44.8568 -85.5298 Grand Traverse 15 34 0.010163 0.997 45.5955 -84.9746 Emmet 16 35 0.009671 0.999 45.0156 -87.6464 Marinette 17 36 0.009092 1.001 44.8382 -87.8837 Oconto 18 45 0.004838 1.002 42.5750 -87.8132 Kenosha 19 37 0.004616 1.002 44.5981 -87.9625 Brown 20 33 0.000170 1.002 45.3138 -85.2731 Charlevoix 21 32 -0.000001 1.002 45.0293 -85.3881 Antrim 22 18 -0.000114 1.002 45.8974 -86.1786 Schoolcraft 23 48 -0.000137 1.002 41.6618 -87.4126 Lake Ind. 24 20 -0.000176 1.002 45.3225 -87.4334 Menominee 25 50 -0.000201 1.002 41.7381 -86.8751 LaPorte 26 17 -0.000554 1.002 46.0022 -85.2694 Mackinac 27 22 -0.000831 1.002 42.3355 -86.3121 Van Buren 28 29 -0.000871 1.002 44.6667 -86.1964 Benzie 29 27 -0.001198 1.002 44.0054 -86.4546 Mason 30 49 -0.001251 1.001 41.6575 -87.0931 Porter 31 25 -0.001341 1.001 43.2940 -86.3752 Muskegon 32 24 -0.001780 1.001 42.9475 -86.2270 Ottawa 33 21 -0.001942 1.001 41.9959 -86.5664 Berrien 34 23 -0.002958 1.000 42.5982 -86.2306 Allegan 35 99 5.447785 Whole Lake Lake Michigan Tributary Loadings of Suspended Solids (Metric tons/year) 1975-76 estimates from Sonzogni et al. (1978) 1994-95 estimates from LMMBS -------------------------------------------------------------------------------- Discharge Point Lat Lon 1975 1976 avg 1994 1995 avg -------------------------------------------------------------------------------- Sturgeon 455000 864200 4900 4900 4900 6804 4742 5773 Whitefish 455455 865640 0 2154 3589 2871 Escanaba 454729 870046 4100 4000 4050 3134 5221 4177 Cedar 452453 872052 0 3527 5875 4701 Menominee 0 0 13000 16000 14500 13865 23098 18482 Peshtigo 445823 873918 4000 6000 5000 3900 6497 5198 Oconto 445342 874900 7300 10000 8650 24861 22897 23879 Pensaukee 444933 875331 0 12066 11113 11589 Kewaunee 442742 872947 0 18334 16886 17610 Fox 0 0 60000 100000 80000 151669 139684 145676 Manitowac 440539 873848 0 33619 14560 24090 Sheboygan 0 0 0 11556 5005 8281 Milwaukee 0 0 100000 67000 83500 5781 6105 5943 Root 424346 874620 0 2738 2892 2815 Grand Calumet 0 0 0 4195 4810 4503 Galien 414843 864522 0 15583 24080 19831 St. Joseph 0 0 82000 110000 96000 112077 173189 142633 Black 422423 861739 3600 4900 4250 14139 12713 13426 Kalamazoo 424055 861317 27000 37000 32000 1213 1091 1152 Kalamazoo 0 0 0 46068 41420 43744 Grand 0 0 76000 150000 113000 170815 89022 129918 Muskegon 0 0 41000 63000 52000 6023 7252 6637 Pere Marquette 435641 862615 16000 14000 15000 3124 3761 3442 Pere Marquette 0 0 0 10954 9992 10473 Manistee 441518 862046 20000 18000 19000 30461 27785 29123 Betsie 443753 861441 0 1785 2149 1967 Jordan 451911 851609 0 3659 4405 4032 Millecoquins near 460545 852831 0 6837 4765 5801 Manistique 0 0 12000 16000 14000 17847 12439 15143