Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Storm Water Management Model. Volume I - Final Report.
CORP Author Metcalf and Eddy, Inc., Palo Alto, Calif.
Year Published 1971
Report Number FWPCA-14-12-501; EPA-WQO-11024-DOC ;EPA-WQO-11024-EBI; 13370-1,; 11024-DOC-07/71
Stock Number PB-203 289
Additional Subjects ( Computerized simulation ; Surface water runoff) ; ( Sanitary engineering ; Surface water runoff) ; Rainfall intensity ; Storm sewers ; Computer programming ; Economic analysis ; Water quality ; Water pollution ; Urban areas ; Benefit cost analysis ; Combined sewers ; Management planning ; Water influx ; District of Columbia ; Overflows ; Hydrographic surveys ; Mathematical models ; Storm water runoff ; San Francisco(California) ; Philadelphia(Pennsylvania) ; Cincinnati(Ohio)
Library Call Number Additional Info Location Last
NTIS  PB-203 289 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 06/23/1988
Collation 365p
A comprehensive mathematical model, capable of representing urban storm water runoff, has been developed to assist administrators and engineers in the planning, evaluation, and management of overflow abatement alternatives. Hydrographs and pollutographs (time varying quality concentrations or mass values) were generated for real storm events and systems from points of origin in real time sequence to points of disposal (including travel in receiving waters) with user options for intermediate storage and/or treatment facilities. Both combined and separate sewerage systems may be evaluated. Internal cost routines and receiving water quality output assisted in direct cost-benefit analysis of alternate programs of water quality enhancement. Demonstration and verification runs on selected catchments, varying in size from 180 to 5,400 acres, in four U.S. cities (approximately 20 storm events, total) were used to test and debug the model. The amount of pollutants released varied significantly with the real time occurrence, runoff intensity duration, pre-storm history, land use, and maintenance. Storage-treatment combinations offered best cost-effectiveness ratios. (Author)