Filters: Tags: SELDM (X) > Categories: Software (X) > Types: OGC WMS Layer (X) > Types: OGC WFS Layer (X) > partyWithName: Gregory E Granato (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (1) OGC WMS Service (1) Contacts Gregory E Granato New England Water Science Center U.S. Geological Survey U.S. Geological Survey - ScienceBase Water Resources Tag Types Theme (1) USGS Scientific Topic Keyword (1) Harvest Set (1) View Results as: JSON ATOM CSV

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