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Effects of Highway Runoff on Water Quality Active

By Oregon Water Science Center November 30, 2017

"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.

link
USGS

SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1.
By
New England Water Science Center
link

SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1.
Learn More
link
USGS

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
By
New England Water Science Center
link

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
Learn More

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

The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS) in cooperation with the Federal Highway Administration to simulate stormwater quality. To assess the effects of runoff, SELDM uses a stochastic mass-balance approach to estimate combinations of pre-storm streamflow, stormflow, highway runoff, event mean concentrations (EMCs) and stormwate
Authors
Adam J. Stonewall, Gregory E. Granato, Kira M. Glover-Cutter
By
Water Resources Mission Area, Oregon Water Science Center, New England Water Science Center

Assessing roadway contributions to stormwater flows, concentrations, and loads with the StreamStats application

The Oregon Department of Transportation (ODOT) and other state departments of transportation need quantitative information about the percentages of different land cover categories above any given stream crossing in the state to assess and address roadway contributions to water-quality impairments and resulting total maximum daily loads. The U.S. Geological Survey, in cooperation with ODOT and the
Authors
Adam Stonewall, Gregory E. Granato, Tana Haluska
By
Water Resources Mission Area, Oregon Water Science Center

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 discharge site, from the site of interest and in the re
Authors
John C. Risley, Gregory E. Granato
By
Water Resources Mission Area, Oregon Water Science Center

Below are software products associated with this project.

SELDM: 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.

By
New England Water Science Center, Oregon Water Science Center