Record Display for the EPA National Library Catalog

RECORD NUMBER: 1 OF 14

OLS Field Name OLS Field Data
Main Title A probabilistic methodology for analyzing water quality effects of urban runoff on rivers and streams : final report.
CORP Author Environmental Protection Agency, Washington, DC. Office of Water.
Publisher Office of Water, U.S. Environmental Protection Agency,
Year Published 1989
Stock Number PB2000-104946
Subjects Water quality management--Mathematical models.
Additional Subjects Water quality ; Urban runoff ; Water pollution effects ; Streams ; Rivers ; Discharge(Water) ; Stream flow ; Ecological concentration ; Rainfall-runoff relationship ; Monte Carlo method ; Gaussian quadrature ; Probability density functions ; Water pollution monitoring ; Regression analysis ; Water pollution control ; Simulation ; Mathematical models ; Probability Dilution Model ; Derived distribution method ; Nationwide Urban Runoff Program
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB2000-104946 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation 1 volume (various pagings) : illustrations ; 28 cm
Abstract
The Probability Dilution Model provides a screening level methodology for determining the effect of intermittent pollutant discharges on the water quality of streams and rivers. The processes analyzed in the model (urban runoff, streamflow, and water quality) are probabilistic by nature and are treated as such by the model. The method uses a deterministic mass balance approach and accounts for the nature variabilities in the model inputs into the stream. This model is an extremely useful screening level tool for initial planning purposes to help determine problem areas and to screen possible control alternatives. Three methods, the Analytical Derived Distribution Approach, a numerical Gaussian Quadrature method and the Monte Carlo simulation approach, are presented.
Notes
"July, 1989." Microfiche.