Record Display for the EPA National Library Catalog

RECORD NUMBER: 1942 OF 2071

OLS Field Name OLS Field Data
Main Title Use of Mathematical Models in Water Quality Control Studies.
Author Goodma, Alvin S. ; Tucke, Richard J. ;
CORP Author Northeastern Univ., Boston, Mass. Dept. of Civil Engineering.
Year Published 1969
Report Number WP-01090; 16090-07/69;
Stock Number PB-188 494
Additional Subjects ( Sewage ; Water pollution) ; ( Rivers ; Water pollution) ; ( Water pollution ; Hydraulic models) ; Mathematical models ; Sanitary engineering ; Statistical analysis ; Programming(Computers) ; Quality control ; Costs ; Purification ; Fluid flow ; Sampling ; Accuracy ; Stream pollution ; Water quality ; Sewage treatment ; Stream flow ; Computerized simulation ; Waste water ; Water treatment ; Biochemical oxygen demand
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=910054UX.PDF
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB-188 494 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 140p
Abstract
Mathematical models were utilized to study water pollution control programs in a river basin. Sensitivity analyses, with a steady state model, showed substantial variation of cost for sewage treatment, depending upon stream purification parameter selections. When actual parameters are less favorable than design values, quality standards may not be met; these effects are more serious with lower levels of treatment. An unsteady state model was developed to trace a time profile at any specified station in terms of flow and quality while up-stream discharge, water temperature, and solar radiation vary. The techniques assume that, for short reaches and/or times, steady state conditions apply without undue loss of accuracy. A new empirical procedure was developed to route unsteady stream flow. The time varying model was used to investigate the effectiveness of an assumed configuration of treatment plants when the stream's assimilative capacity varies with distance and time. Susceptibility to poorer conditions increases with higher BOD releases. Lower treatment levels also result in a greater range of river conditions than high levels. Sensitivity analyses of stream parameters were also made with the time varying model. (Author)