Runoff volume reduction by BMPs
Channel: Stormwater Runoff
Date: 2021-05-01

This training module is an overview of methods for modeling runoff volume reduction by BMPs. This is Training module 9.02 for the Stochastic Empirical Loading and Dilution Model (SELDM). It was prepared by the U.S. Geological Survey in cooperation with the Federal Highway Administration.

In this module we learned that:
The three primary volume-reduction processes are infiltration, evaporation, and transpiration;
SELDM stochastically generates the ratio of outflow to inflow for each storm;
SELDM can be used to explore and demonstrate the potential effects of runoff-reductions from different BMP designs; and
Volume reduction increases the potential dilution of runoff in the receiving water (which reduces the dilution factor) and reduces the loads to the receiving water.

References
Granato, G.E., 2013, Stochastic empirical loading and dilution model (SELDM) version 1.0.0: U.S. Geological Survey Techniques and Methods, book 4, chap. C3, 112 p. http://pubs.usgs.gov/tm/04/c03/

Granato, G.E., 2014, Statistics for stochastic modeling of volume reduction, hydrograph extension, and water-quality treatment by structural stormwater runoff best management practices (BMPs): U.S. Geological Survey Scientific Investigations Report 2014–5037, 37 p.

Granato, G.E., Medalie, Laura, and Spaetzel, A.B., 2021, Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM): U.S. Geological Survey data release, https://doi.org/10.5066/P9JCC3B2

Granato, G.E., Spaetzel, A.B., and Medalie, L., 2021, Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM): U.S. Geological Survey Scientific Investigations Report 2020–5136, 41 p., https://doi.org/10.3133/sir20205136.