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OLS Field Name OLS Field Data
Main Title Predicting Cattle Feedlot Runoff and Retention Basin Quality.
Author Miner, J. Ronald ; Koelliker, James K. ; English., Marshall J. ;
CORP Author Oregon State Univ., Corvallis. Dept. of Agricultural Engineering.;Robert S. Kerr Environmental Research Lab., Ada, OK.
Year Published 1980
Report Number EPA-R-805499; EPA-600/2-80-192;
Stock Number PB81-113045
Additional Subjects Agricultural wastes ; Runoff ; Waste disposal ; Water pollution control ; Cattle ; Mathematical models ; Diurnal variations ; Biochemical oxygen demand ; Nitrogen ; Phosphorus ; Lagoons(Ponds) ; Coliform bacteria ; Ammonia ; Losses ; Sprinkler irrigation ; Evaporation ; Computer program ; Illinois ; Feedlot wastes ; RQM computer program
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB81-113045 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 207p
Abstract
A procedure was devised to predict the quantity and quality of cattle feedlot runoff entering a runoff retention basin whenever precipitation occurs in excess of the surface holding capacity of the lot or whenever accumulated snow would melt. These predictions are based upon size and location of the feedlot, previous conditions, and daily climate data. Runoff retention basin liquid content and quality are predicted on a daily basis. The model considers inputs and outputs as well as chemical and biological changes which are occurring on a continuous basis. The quality parameters which are predicted on a daily basis include: chemical oxygen demand, total Kjeldahl nitrogen, ammonia nitrogen, total phosphorus, total solids, fixed dissolved solids, total coliforms, fecal coliforms and fecal streptococcus. A cattle feedlot in Illinois was sampled intensively to adjust the various coefficients of the predictive tool.