||A probabilistic methodology for analyzing water quality effects of urban runoff on rivers and streams : final report.
||Environmental Protection Agency, Washington, DC. Office of Water.
|| Office of Water, U.S. Environmental Protection Agency,
||Washington, D.C. :
Water pollution effects;
Monte Carlo method;
Probability density functions;
Water pollution monitoring;
Water pollution control;
Probability Dilution Model;
Derived distribution method;
Nationwide Urban Runoff Program
|Subject Added Ent
Water quality management--Mathematical models.
||Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy.
||1 volume (various pagings) : illustrations ; 28 cm
||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.
||"July, 1989." Microfiche.
||Product reproduced from digital image. Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at firstname.lastname@example.org. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA.
|Corporate Au Added Ent
||United States. Environmental Protection Agency. Office of Water.
|PUB Date Free Form
||PC A08/MF A02
|OCLC Time Stamp
|OCLC Rec Leader
||00929nam 2200217Ka 45020