Filters: Tags: SELDM (X) > Types: OGC WFS Layer (X) > Types: OGC WMS Service (X) > Categories: Software (X) > Types: Map Service (X) > Types: OGC WMS Layer (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Contacts Gregory E Granato New England Water Science Center U.S. Geological Survey U.S. Geological Survey - ScienceBase Water Resources Gregory E Granato Tag Types Theme (2) USGS Scientific Topic Keyword (2) Harvest Set (2) Label (1) Tag Schemes None (1) ISO 19115 Topic Category (1) View Results as: JSON ATOM CSV

Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 The Best Management Practices Statistical Estimator (BMPSE) 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, 2021a,b). The BMPSE was used to calculate statistics and create input files for fitting the trapezoidal distribution to data from studies documenting the performance of individual structural stormwater... Categories: Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Ecology, Environmental Health, Event Mean Concentration, Federal Highway Administration, All tags... Hydrology, Land Use Change, SELDM, Software, Stochastic Empirical Loading and Dilution Model, USGS Science Data Catalog (SDC), Water Quality, Water Resources, environment, highway runoff, inlandWaters, runoff, stormwater, transportation, Fewer tags Stochastic Empirical Loading and Dilution Model (SELDM) software archive The Stochastic Empirical Loading and Dilution Model (SELDM) 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 transform complex scientific data into meaningful information about the risk of adverse effects of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such management measures for reducing these risks (Granato 2013; Granato and Jones, 2014). SELDM is a stochastic model because it uses Monte Carlo methods to produce the random combinations of input variable values needed to generate the stochastic population of values for each component... Categories: Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Event Mean Concentration, Federal Highway Administration, Highway-Runoff Database, Hydrology, All tags... Land Use Change, SELDM, Stochastic Empirical Loading and Dilution Model, USGS Science Data Catalog (SDC), Urban Runoff, Water Quality, Water Resources, environment, highway runoff, runoff, stormwater, transportation, Fewer tags