Summary
The U.S. Geological Survey (USGS) in cooperation with the Federal Highway Administration (FHWA) developed the Stochastic Empirical Loading and Dilution Model (SELDM) to help quantify the risk of adverse effects of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such mitigation measures for reducing these risks. SELDM is the only approved FHWA stormwater model and can be used for permitting analyses, endangered species issues, calculating pollutant yields with and without stormwater control measures to help develop total maximum daily loads. Documentation, example applications and case studies are available on the SELDM website at: https://www.usgs.gov/SELDM. This training will be a hands-on exercise using the latest version of SELDM available to do a hypothetical case-study to become familiar with the model and it’s interface.
Organizer and moderator
Gregory Granato is currently the Federal Highway Administration (FHWA) national stormwater specialist in the FHWA's Office of Project Development & Environmental Review. Gregory comes from the U.S. Geological Survey in Massachusetts and has about 30 years of experience in water quality, stormwater management, water resources coordination in connection with highway programs. Gregory is author or coauthor of more than 60 reports on hydrology, hydraulics, and water quality. Gregory is the author of the Stochastic Empirical Loading and Dilution Model (SELDM) and 19 other hydrological software packages.
Trainer 1
Alana Spaetzel serves as a supervisory hydrologist at the U.S. Geological Survey's (USGS) New England Water Science Center. She oversees the maintenance and implementation of the Stochastic Empirical Loading and Dilution Model (SELDM) and the Highway-Runoff Database in partnership with the Federal Highway Administration. Alana leads projects that support state and municipal stormwater management initiatives by enhancing the USGS StreamStats web application with mapped stormwater infrastructure and roadway information.