Assessing Potential Effects of Highway and Urban Runoff on Receiving Streams in Total Maximum Daily Load Watersheds in Oregon Using the Stochastic Empirical Loading and Dilution Model
Stonewall, A. J., Granato, G. E., & Glover-Cutter, K. M. (2019). Assessing Potential Effects of Highway and Urban Runoff on Receiving Streams in Total Maximum Daily Load Watersheds in Oregon Using the Stochastic Empirical Loading and Dilution Model (Report No. Survey Scientific Investigations Report 2019-5053). United States. Geological Survey (USGS). https://rosap.ntl.bts.gov/view/dot/66198
Stonewall, Adam J, Gregory E. Granato, and Kira M Glover-Cutter. Assessing Potential Effects of Highway and Urban Runoff on Receiving Streams in Total Maximum Daily Load Watersheds in Oregon Using the Stochastic Empirical Loading and Dilution Model. Report no. Survey Scientific Investigations Report 2019-5053. United States. Geological Survey (USGS), 2019. https://rosap.ntl.bts.gov/view/dot/66198.
Stonewall, Adam J, et al. Assessing Potential Effects of Highway and Urban Runoff on Receiving Streams in Total Maximum Daily Load Watersheds in Oregon Using the Stochastic Empirical Loading and Dilution Model. United States. Geological Survey (USGS), 2019, Report no. Survey Scientific Investigations Report 2019-5053, ROSA P. https://rosap.ntl.bts.gov/view/dot/66198.
The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS) in cooperation with the Federal Highway Administration to simulate stormwater quality. To assess the effects of runoff, SELDM uses a stochastic mass-balance approach to estimate combinations of pre-storm streamflow, stormflow, highway runoff, event mean concentrations (EMCs) and stormwater constituent loads from a site of interest. In addition, SELDM can be used to assess the effects of stormwater Best Management Practices (BMPs), which are designed to mitigate the adverse effects of runoff into a waterbody.
Stonewall, A. J., Granato, G. E., & Glover-Cutter, K. M. (2019). Assessing Potential Effects of Highway and Urban Runoff on Receiving Streams in Total Maximum Daily Load Watersheds in Oregon Using the Stochastic Empirical Loading and Dilution Model (Report No. Survey Scientific Investigations Report 2019-5053). United States. Geological Survey (USGS). https://rosap.ntl.bts.gov/view/dot/66198
Stonewall, Adam J, Gregory E. Granato, and Kira M Glover-Cutter. Assessing Potential Effects of Highway and Urban Runoff on Receiving Streams in Total Maximum Daily Load Watersheds in Oregon Using the Stochastic Empirical Loading and Dilution Model. Report no. Survey Scientific Investigations Report 2019-5053. United States. Geological Survey (USGS), 2019. https://rosap.ntl.bts.gov/view/dot/66198.
Stonewall, Adam J, et al. Assessing Potential Effects of Highway and Urban Runoff on Receiving Streams in Total Maximum Daily Load Watersheds in Oregon Using the Stochastic Empirical Loading and Dilution Model. United States. Geological Survey (USGS), 2019, Report no. Survey Scientific Investigations Report 2019-5053, ROSA P. https://rosap.ntl.bts.gov/view/dot/66198.
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