10,000 Grab TSS, in milligrams per liter 1,000 100 10 1 10 Minnesota log(TSS)= 0.96log(Q)-0.824 Wisconsin log(TSS) = 0.9

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10,000 Grab TSS, in milligrams per liter 1,000 100 10 1 10 Minnesota log(TSS)= 0.96log(Q)-0.824 Wisconsin log(TSS) = 0.9

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10 000 Grab Tss In Milligrams Per Liter 1 000 100 10 1 10 Minnesota Log Tss 0 96log Q 0 824 Wisconsin Log Tss 0 9 1
10 000 Grab Tss In Milligrams Per Liter 1 000 100 10 1 10 Minnesota Log Tss 0 96log Q 0 824 Wisconsin Log Tss 0 9 1 (44.76 KiB) Viewed 33 times
10,000 Grab TSS, in milligrams per liter 1,000 100 10 1 10 Minnesota log(TSS)= 0.96log(Q)-0.824 Wisconsin log(TSS) = 0.98log(Q)-0.921 A 000 g #B 100 088 28 A O 00 80 0.0 040 O 1,000 10,000 Streamflow (2), in cubic feet per second 0° PALAT w m 100,000 Figure 11. Graph showing grab total suspended solids collected by the Wisconsin Department of Natural Resources and the Minnesota Pollution Control Agency with streamflow from 2006 to 2015 for Nemadji River streamgage near South Superior, Wisconsin (U.S. Geological Survey station number 04024430). Lines are power functions fit through log-10 normalized data from each State agency. The figure above shows the total suspended solids versus stream w for the Nemad River in northern Wisconsin and Minnesota as well as the linear trendlines for data collected by the Wisconsin DNR and Minnesota Pollution Control Agency. Each agency made a linear fit to their own data. We see that since the data appear linear on a loglog plot the relationship between total suspended solids and streamflow can be modeled with a power law relationship in the form TSS AQP. Find the model form for each agencies fit. = What is the predicted TSS from the Wisconsin model fit for a streamflow of 100 cubic feet per second? (round to 3 decimal places)
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