Simulating runoff quality with the HRDB and the Stochastic Empirical Loading and Dilution Model
Channel: Stormwater Runoff
Date: 2019-12-07

This video shows the results of an effort to assess roadway contributions to stormwater flows, concentrations, and loads by using the Highway-Runoff Database (HRDB) and the Stochastic Empirical Loading and Dilution Model (SELDM).  This video describes the data available in version 1.1 of the Highway-Runoff Database, and goes through an example analysis of total phosphorus concentrations to show how the HRDB can be used with SELDM to assess the potential risks for adverse effects of runoff on receiving waters. Version 1.1 of the HRDB has 36 data sets, 23 States, 249 sites, 6,849 storms, and 106,869 event mean concentration (EMC) values. The HRDB has 415 different water-quality constituents. The top 10 constituents include sediment, metals, nutrients, and organic carbon. 
This presentation is an overview of the paper:
Granato, G.E., and Jones, S.C., 2019, Simulating runoff quality with the Highway-Runoff Database and the Stochastic Empirical Loading and Dilution Model: Transportation Research Record, Journal of the Transportation Research Board, v. 2673, no. 1, p. 136-142, https://doi.org/10.1177/0361198118822821

Version 1.1 of the HRDB is available here:
Granato, G.E., 2019, Highway-Runoff Database (HRDB) Version 1.1.0: U.S. Geological Survey data release, https://doi.org/10.5066/P94VL32J. 

You can find more information about SELDM at: https://www.usgs.gov/SELDM/