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Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0
- data.usgs.gov
- catalog.data.gov
Updated Jul 29, 2024
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EmailClick to copy linkLink copiedCiteGregory Granato (2024). Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 [Dataset]. http://doi.org/10.5066/P9XBPIOBUnique identifierhttps://doi.org/10.5066/P9XBPIOBDataset updatedJul 29, 2024AuthorsGregory GranatoLicenseU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automaticallyTime period coveredDec 29, 2019 - Jan 5, 2020DescriptionThe Best Management Practices Statistical Estimator (BMPSE) version 1.2.0 was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway and urban runoff on the Nation's receiving waters (Granato 2013, 2014; Granato and others, 2021). The BMPSE was assembled by using a Microsoft Access® database application to facilitate calculation of BMP performance statistics. Granato (2014) developed quantitative methods to estimate values of the trapezoidal-distribution statistics, correlation coefficients, and the minimum irreducible concentration (MIC) from available data. Granato (2014) developed the BMPSE to hold and process data from the International Stormwater Best Management ...
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FacebookTwitterEmailBest Management Practices Statistical Estimator (BMPSE) Version 1.2.0
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The Best Management Practices Statistical Estimator (BMPSE) version 1.2.0 was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway and urban runoff on the Nation's receiving waters (Granato 2013, 2014; Granato and others, 2021). The BMPSE was assembled by using a Microsoft Access® database application to facilitate calculation of BMP performance statistics. Granato (2014) developed quantitative methods to estimate values of the trapezoidal-distribution statistics, correlation coefficients, and the minimum irreducible concentration (MIC) from available data. Granato (2014) developed the BMPSE to hold and process data from the International Stormwater Best Management ...