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Main Title Method for Quantifying the Prediction Uncertainties Associated with Water Quality Models.
Author Summers, J. K. ; Wilson, H. T. ; Kou, J. ;
CORP Author Environmental Research Lab., Gulf Breeze, FL. ;Coastal Environmental Services, Inc., Linthicum, MD. ;Versar, Inc., Columbia, MD.
Publisher c1993
Year Published 1993
Report Number EPA/600/J-93/226 ;CONTRIB-741;
Stock Number PB93-205094
Additional Subjects Water quality ; Mathematical models ; Risk assessment ; Probability theory ; Ecosystems ; Calibrating ; Statistical analysis ; Surface water ; Monte Carlo method ; Reprints ;
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NTIS  PB93-205094 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 18p
Abstract Many environmental regulatory agencies depend on models to organize, understand, and utilize the information for regulatory decision making. A general analytical protocol was developed to quantify prediction error associated with commonly used surface water quality models. Its application is demonstrated by comparing water quality models configured to represent different levels of spatial, temporal, and mechanistic complexity. This comparison can be accomplished by fitting the models to a benchmark data set. Once the models are successfully fitted to the benchmark data, the prediction errors associated with each application can be quantified using the Monte Carlo simulation techniques.
Supplementary Notes Pub. in Ecological Modeling 65, p161-176 1993. Prepared in cooperation with Coastal Environmental Services, Inc., Linthicum, MD., and Versar, Inc., Columbia, MD.
NTIS Title Notes Journal article.
Title Annotations Reprint: Method for Quantifying the Prediction Uncertainties Associated with Water Quality Models.
Category Codes 68D; 48G
NTIS Prices PC A03/MF A01
Primary Description 600/04
Document Type NT
Cataloging Source NTIS/MT
Control Number 321825557
Origin NTIS
Type CAT