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METHOD FOR QUANTIFYING THE PREDICTION UNCERTAINTIES ASSOCIATED WITH WATER QUALITY MODELS
Citation:
Summers, J., H. Wilson, AND J. Kou. METHOD FOR QUANTIFYING THE PREDICTION UNCERTAINTIES ASSOCIATED WITH WATER QUALITY MODELS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/J-93/226 (NTIS PB93205094), 1993.
Description:
Many environmental regulatory agencies depend on models to organize, understand, and utilize the information for regulatory decision-making. eneral analytical protocol was developed to quantify prediction rror associated with commonly used surface, water quality models. ts application is demonstrated by comparing water quality models configured to represent different levels of spatial, temporal, and mechanistic complexity. his comparison be accomplished by fitting the models to a benchmark data set. nce the models are successfully fitted to the benchmark data, the prediction errors associated with each application can b,2 quantified using the Monte Carlo simulation techniques.
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METHOD FOR QUANTIFYING THE PREDICTION UNCERTAINTIES ASSOCIATED WITH WATER QUALITY MODELS