"SELDM facilitates analysis by providing precipitation, pre-storm streamflow, and other variables by region or from hydrologically similar sites."
In 2012, the U.S. Geological Survey 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 discharge site, from the site of interest and in the receiving waters downstream of the discharge. SELDM also can be used to assess the potential effectiveness of best management practices (BMP) for mitigating potential effects of runoff in receiving waters. Nominally, SELDM is a highway-runoff model, but it is well suited for analysis of runoff from other land uses as well.
SELDM data- current conditions (past 7 days)
420425122361700 HIGHWAY RUNOFF SITE NEAR I-5 AND OLD HWY 99
420420122361500 PRECIPITATION NEAR I-5 AND OLD HWY 99, NEAR ASHLAND, OR
14348430 UNNAMED TRIBUTARY TO WEST BRANCH CARTER CREEK, NEAR ASHLAND, OR
Below are other science projects associated with this project.
SELDM: Stochastic Empirical Loading and Dilution Model - Project page
Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation
Below are publications associated with this project.
Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the stochastic empirical loading and dilution model
Assessing roadway contributions to stormwater flows, concentrations, and loads with the StreamStats application
Assessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM)
Below are software products associated with this project.
SELDM: Stochastic Empirical Loading and Dilution Model - Software page
"SELDM facilitates analysis by providing precipitation, pre-storm streamflow, and other variables by region or from hydrologically similar sites."
In 2012, the U.S. Geological Survey 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 discharge site, from the site of interest and in the receiving waters downstream of the discharge. SELDM also can be used to assess the potential effectiveness of best management practices (BMP) for mitigating potential effects of runoff in receiving waters. Nominally, SELDM is a highway-runoff model, but it is well suited for analysis of runoff from other land uses as well.
SELDM data- current conditions (past 7 days)
420425122361700 HIGHWAY RUNOFF SITE NEAR I-5 AND OLD HWY 99
420420122361500 PRECIPITATION NEAR I-5 AND OLD HWY 99, NEAR ASHLAND, OR
14348430 UNNAMED TRIBUTARY TO WEST BRANCH CARTER CREEK, NEAR ASHLAND, OR
Below are other science projects associated with this project.
SELDM: Stochastic Empirical Loading and Dilution Model - Project page
Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation
Below are publications associated with this project.
Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the stochastic empirical loading and dilution model
Assessing roadway contributions to stormwater flows, concentrations, and loads with the StreamStats application
Assessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM)
Below are software products associated with this project.