New England WSC Seminar series Granato 20170105
Science Center Objects
Example analyses for total nitrogen, total phosphorus, suspended sediment, and total zinc in highway-runoff were done by the U.S. Geological Survey in cooperation with the Federal Highway Administration to simulate long-term annual loads for Total Maximum Daily Loads (TMDL) analyses with the Stochastic Empirical Loading and Dilution Model (SELDM).
Date/Time: Thursday, January 05, 2017, 12:00 pm
Title: Estimating long-term annual highway-runoff loads for total maximum daily load analyses with the Stochastic Empirical Loading and Dilution Model (SELDM)
Presented by: Greg Granato, Hydrologist, USGS New England WSC
Abstract: PDF document
Location: USGS, Massachusetts Office, Northborough, MA
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Date published: April 9, 2018Status: ActiveSELDM: Stochastic Empirical Loading and Dilution Model - Project page
Note: SELDM is now on version 1.0.3 Please use the new version on the software support page here
Contacts: Gregory Granato -
Date published: November 30, 2017Status: ActiveEffects of Highway Runoff on Water Quality
"SELDM facilitates analysis by providing precipitation, pre-storm streamflow, and other variables by region or from hydrologically similar sites."
Contacts: Adam Stonewall, John RisleyAttribution: Oregon Water Science Center -
Date published: May 11, 2015Status: Completed
Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation
Note: SELDM is now on version 1.0.3 Please use the new version on the software support page here
Contacts: Gregory Granato
Assessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM)
In 2012, the U.S. Geological Survey and the Oregon Department of Transportation began a cooperative study to demonstrate use of the Stochastic Empirical Loading and Dilution Model (SELDM) for runoff-quality analyses in Oregon. SELDM can be used to estimate stormflows, constituent concentrations, and loads from the area upstream of a stormflow...
Risley, John C.; Granato, Gregory E.
Stochastic empirical loading and dilution model (SELDM) version 1.0.0
The Stochastic Empirical Loading and Dilution Model (SELDM) is designed 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. The U.S....
Granato, Gregory E.-
Date published: July 16, 2013SELDM: Stochastic Empirical Loading and Dilution Model - Software page
Overview
The Stochastic Empirical Loading and Dilution Model (SELDM) is designed 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.