Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM)

Dates

Publication Date: 2020-06-10
Start Date: 1975-04-15
End Date: 2016-09-30

Citation

Granato, G.E., and Jeznach, L.C., 2020, Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM): U.S. Geological Survey data release, https://doi.org/10.5066/P9K0Y7XR.

Summary

Impervious runoff-discharge to receiving streams is widely recognized as one of the leading factors contributing to ecological degradation in such streams. Although there are many factors that contribute to ecological degradation with increasing development adverse effects caused by runoff quality is widely recognized as a contributing factor. The objective of this study was to simulate the flows concentrations and loads of impervious-area runoff and stormflows from an undeveloped area over a range of impervious percentages and drainage areas to examine potential relations between these variables and the quantity and quality of downstream flows. Stormwater runoff in a hypothetical stream basin that represents hydrologic and physiographic [...]

Summary

Impervious runoff-discharge to receiving streams is widely recognized as one of the leading factors contributing to ecological degradation in such streams. Although there are many factors that contribute to ecological degradation with increasing development adverse effects caused by runoff quality is widely recognized as a contributing factor. The objective of this study was to simulate the flows concentrations and loads of impervious-area runoff and stormflows from an undeveloped area over a range of impervious percentages and drainage areas to examine potential relations between these variables and the quantity and quality of downstream flows. Stormwater runoff in a hypothetical stream basin that represents hydrologic and physiographic basin properties in southern New England was simulated using the Stochastic Empirical Loading and Dilution Model (SELDM) to do a numerical experiment designed to explore relations between impervious cover and receiving-water quality. These simulations included a range of impervious cover from 0.1 to 30 percent. These relations were examined to provide planning-level estimates of a population of concentrations and dilution factors as explanatory variables for the changes in stream biota commonly seen as the percentage of impervious areas increase. SELDM is a runoff-quality model developed by the U.S. Geological Survey in cooperation with the Federal Highway Administration to simulate the adverse effects of runoff on receiving waters and provide meaningful information about the potential effectiveness of management measured to reduce water quality risks. This is a model archive for these numerical experiments documenting the input statistics and the simulation results. Model development files include details of simulated hydrology, basin properties, upstream undeveloped area water quality, and developed (impervious area) area runoff quality. Model results include downstream water quality with and without structural best management practices.

Contacts

Point of Contact :: Gregory E Granato
Process Contact :: Gregory E Granato
Originator :: Gregory E Granato, Lillian C Jeznach
Metadata Contact :: Gregory E Granato
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
SDC Data Owner :: New England Water Science Center
USGS Mission Area :: Water Resources

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Metadata_SELDMTP.xml Original FGDC Metadata	View	28.7 KB	application/fgdc+xml
BasinPropertiesRegression.zip		13.38 KB	application/zip
ContentsReadMe.txt		2.92 KB	text/plain
KTRLSoftware.zip		4.73 MB	application/zip
SELDM-MonteCarloCode.zip		64.82 KB	application/zip
TP_TransportCurve.zip		7.75 KB	application/zip
SELDM-InputOutput.zip		42.04 MB	application/zip
UrbanRunoffTP.zip		31.68 MB	application/zip

Related External Resources

Type: Citation

Granato, G.E., 2013, Stochastic empirical loading and dilution model (SELDM) version 1.0.0: U.S. Geological Survey Techniques and Methods, book 4, chap. C3, 112 p.	http://pubs.usgs.gov/tm/04/c03/
Granato, G.E., 2012, Estimating basin lagtime and hydrograph-timing indexes used to characterize stormflows for runoff-quality analysis: U.S. Geological Survey Scientific Investigations Report 2012–5110, 47 p.	http://pubs.usgs.gov/sir/2012/5110/
International Stormwater Best Management Practices (BMP) Database	http://www.bmpdatabase.org/
Granato, G.E., 2006, Kendall-Theil Robust Line (KTRLine—version 1.0)—A Visual Basic program for calculating and graphing robust nonparametric estimates of linear-regression coefficients between two continuous variables. U.S. Geological Survey Techniques and Methods, book 4, chap. A7, 31 p.	https://pubs.usgs.gov/tm/2006/tm4a7/
Bent, G.C., Steeves, P.A., and Waite, A.M., 2014, Equations for estimating selected streamflow statistics in Rhode Island: U.S. Geological Survey Scientific Investigations Report 2014–5010, 65 p.	http://dx.doi.org/10.3133/sir20145010
Granato, G.E., 2014, Statistics for stochastic modeling of volume reduction, hydrograph extension, and water-quality treatment by structural stormwater runoff best management practices (BMPs): U.S. Geological Survey Scientific Investigations Report 2014–5037, 37 p.	http://pubs.usgs.gov/sir/2014/5037/

Type: Related Primary Publication

Jeznach, L.C., and Granato, G.E., 2020, Comparison of SELDM simulated total-phosphorus concentrations with ecological impervious-area criteria: Journal of Environmental Engineering: v. 146, No. 8, 10 p.	https://doi.org/10.1061/(ASCE)EE.1943-7870.0001763

Type: Publication that references this resource

Granato, G.E., Spaetzel, A.B., and Jeznach, L.C., 2023, Approaches for assessing 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): U.S. Geological Survey Scientific Investigations Report 2023–5087, 152 p., https://doi.org/10.3133/sir20235087.	https://doi.org/10.3133/sir20235087

Purpose

This data release is a model archive for simulations designed to simulate runoff from developed impervious areas and undeveloped areas in concurrent downstream stormflows over a range of impervious area percentages to examine relations between the percentage of impervious cover and the risk for adverse effects of runoff on receiving waters.

Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM)

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