Record Display for the EPA National Library Catalog

RECORD NUMBER: 397 OF 407

OLS Field Name OLS Field Data
Main Title Variation of Urban Runoff with Duration and Intensity of Storms.
Author Well, Dan M. ; Austi, T. Al ; Coo, Billy Cy ;
CORP Author Texas Tech Univ., Lubbock. Water Resources Center.
Year Published 1971
Report Number WRC-71-5; DI-14-31-0001-3131; OWRR-B-064-TEX; 00816;
Stock Number PB-204 235
Additional Subjects ( Storms ; Surface water runoff) ; ( Surface water runoff ; Urban areas) ; Mathematical models ; Watersheds ; Precipitation(Meteorology) ; Water quality ; Probability theory ; Statistical analysis ; Computerized simulation ; Floods ; Water pollution ; Regression analysis ; Mathematical prediction ; Monte Carlo method ; Texas ; Lubbock(Texas)
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB-204 235 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/23/1988
Collation 161p
Abstract
A simulation model describes the quantitative and qualitative regimes of storm water runoff from urban watersheds. The urban runoff system consists of three basic subsystems: Precipitation, runoff, and quality. Each of the three subsystems is mathematically modeled using probability and statistical techniques. Major flooding in the High Plains of Texas is associated with short-duration high-intensity convective storms. The model assumes these short-duration precipitation events are random and governed by a stationary probability distribution function. A bivariate log-normal distribution function fits the observed rainfall depths and durations for Lubbock, Texas. The runoff process is modeled by using the British Road Research Laboratory method, which assumes that all runoff is derived from interconnected impervious areas. Rainfall inputs are simulated by the Monte Carlo method. The outflow hydrograph is generated by single-step reservoir routing. The total pollutant load is predicted by a multiple regression involving the storm characteristics and the antecedent conditions. (Author)