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

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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 Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, runoff volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank... Categories: Data; 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, SELDM, Stochastic Empirical Loading and Dilution Model, USGS Science Data Catalog (SDC), Water Quality, environment, highway runoff, inlandWaters, runoff, stormwater, transportation, Fewer tags Highway-Runoff Database (HRDB) Version 1.1.0 The Highway-Runoff Database (HRDB) 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 for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation's receiving waters (Granato and Cazenas, 2009; Granato, 2013; Granato and others, 2018). The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. The HRDB was first published as version 1.0 in cooperation... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Environmental Health, Federal Highway Administration, Highway-Runoff Database, Hydrology, Information Sciences, All tags... Land Use Change, SELDM, Stochastic Empirical Loading and Dilution Model, Stormwater, USGS Science Data Catalog (SDC), Water Quality, Water Resources, event mean concentration, highway runoff, runoff, 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 Highway-Runoff Database (HRDB) Version 1.0.0b The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation's receiving waters. The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. This data release provides highway-runoff data, including information about monitoring sites, precipitation, runoff, and event-mean concentrations of water-quality constituents.... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Environmental Health, Highway runoff, Highway-Runoff Database, Land Use Change, SELDM, All tags... Stochastic Empirical Loading and Dilution Model, Stormwater, USGS Science Data Catalog (SDC), Water Quality, Water Resources, runoff, Fewer tags Model archive for analysis of long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM) Municipal Separate Storm Sewer System (MS4) permitees including the California Department of Transportation need information about potential loads and yields (loads per unit area) of constituents of concern in stormwater runoff. These entities also need information about the potential effectiveness of stormwater best management practices (BMPs) used to mitigate the effects of runoff. This information is needed to address total maximum daily load (TMDL) regulations. This model archive describes approaches used by the U.S. Geological Survey in cooperation with CalTrans for assessing long-term annual yields of highway and urban runoff in selected areas of California with version 1.1.0 of the Stochastic Empirical Loading... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CalTrans, California (CA), Federal Highway Administration, Highway runoff, Highway-Runoff Database, All tags... Runoff, SELDM, Stochastic Empirical Loading and Dilution Model, Stormwater, Total Maximum Daily Load (TMDL), USGS Science Data Catalog (SDC), Urban Water-Quality, Water Quality, event mean concentration, Fewer tags Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM; Granato, 2013). The model is optimized for roadway projects but in theory can be applied to a broad range of development types. SELDM is a statistically-based empirical model pre-populated with much of the data required to successfully run the application (Granato, 2013). The model uses Monte Carlo methods (as opposed to deterministic methods) to generate a wide range of precipitation events and stormwater discharges coupled with water-quality constituent concentrations and loads from the upstream... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Blue Ridge, Coastal Plain, Event Mean Concentration, Federal Highway Administration, All tags... Highway runoff, Highway-Runoff Database, Hydrology, North Carolina, Piedmont, Runoff, SELDM, State Highway, Stochastic Empirical Loading and Dilution Model, Stormwater, Streamflow, USGS Science Data Catalog (SDC), United States, Urban Runoff, Water Quality, Water Quality, Water Resources, Water Resources, chemical constituents, environment, highways and roads, physical constituents, stormwater, transportation, Fewer tags Model Archive for Analysis of Flows, Concentrations, and Loads of Highway and Urban Runoff and Receiving-Stream Stormwater in Southern New England with the Stochastic Empirical Loading and Dilution Model (SELDM) This data release documents the data and models used to assess flows, concentrations, and loads of highway and urban runoff and of stormwater within receiving streams in southern New England. There are more than 48,000 locations in southern New England where roads cross streams and many more locations where runoff from developed areas may discharge to receiving streams; information about runoff discharges and the quantity and quality of stormflow upstream and downstream of discharge points is needed to inform resource-management decisions. This analysis was done with a version 1.1.1 of the Stochastic Empirical Loading and Dilution Model (SELDM) that was populated with regional statistics for southern New England.... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Connecticut, Environmental Health, Federal Highway Administration, Highway runoff, Highway-Runoff Database, All tags... Hydrology, Land Use Change, Massachusetts, New England, Rhode Island, Runoff, SELDM, Stochastic Empirical Loading and Dilution Model, Stormwater, Total Maximum Daily Load (TMDL), USGS Science Data Catalog (SDC), Urban Water-Quality, Water Quality, Water Quality, Water Resources, environment, event mean concentration, runoff, southern New England, Fewer tags