Hydrograph extension by structural stormwater best management practices (BMPs)
Channel: Stormwater Runoff
Date: 2021-05-01

This training module is an overview of hydrograph extension by structural stormwater best management practices (BMPs). This is Training module 9.03 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. This training module has 12 slides and will take less than 9 minutes

In this module we learned that:
If BMP discharge quality is worse than the receiving water quality extension dilutes the runoff;
Hydraulic flow control slows the runoff and extends the outfall hydrograph;
SELDM models hydrograph extensions by using the distribution of extension values with correlation to the inflow volumes; and
SELDM can be used to explore and demonstrate the potential effects of hydrograph extensions from different BMP designs.

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.