Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

These statistics were prepared by the U.S. Geological Survey (USGS) in cooperation with the U.S. Department of Transportation Federal Highway Administration (FHWA) Office of Project Development and Environmental Review. These Statistics were calculated by using version 1.2.0 of the Best Management Practices Statistical Estimator (BMPSE) (Granato, 2014; 2020) and the Microsoft Excel® spreadsheet tools FitTrapezoidToBMP01v1.0.3.xlsx and FitConcentrationRatiov1.1.0.xlsm. The data used for these analyses were derived from the December 2019 version of the International Stormwater BMP Database (http://www.bmpdatabase.org/). The International Stormwater BMP Database was developed by Wright Water Engineers, Inc. and Geosyntec Consultants for the Water Environment Research Foundation, the American Society of Civil Engineers/Environmental and Water Resources Institute, the American Public Works Association, the Federal Highway Administration, and U.S. Environmental Protection Agency. In some cases, however, the data used in this analysis are different from the data found in the December 2019 version of the International Stormwater BMP Database because the author worked closely with Jane Clary, the Project Manager of the BMP database to resolve a number of issues that were identified during the process for extracting, checking, and manipulating the data to do this analysis. The data were extracted from the International BMP Database and imported into the Best Management Practices Statistical Estimator (BMPSE) developed by Granato (2014). The statistics were calculated by using the source code that is documented within the BMPSE database (Granato, 2020). The USGS and the FHWA reserve the right to revise these statistics pursuant to further analysis and review. These statistics have been used by the USGS and is released on condition that the USGS or the FHWA may not be held liable for any damages resulting from their use. Information and numerical methods used in this study are attributable to the cited works. Copyright protection under Title 17 is not available for any work of the U.S. Government (17 USC §105).