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Chapter
Apr 26, 2012

The Effect of Assumptions on Unknown Parameter Values in Forecasting Reliability of Meeting Effluent Limits

Publication: World Environmental and Water Resource Congress 2006: Examining the Confluence of Environmental and Water Concerns

Abstract

Forecasting tools exist for regulatory agencies to predict the reliability in meeting effluent limits or total maximum daily loads (TMDLs) from point sources discharging to water bodies covered under section 303(d) of the Clean Water Act. Performing 2-D Monte Carlo simulations with these tools requires inputs of known (e.g., flow, temperature, influent concentrations) and unknown parameter values (e.g., autotrophic and heterotrophic growth and decay rates) and distributions. This paper examines the effects of assumptions about distributions, coefficients of variation, and parameter correlations on reliability results with several examples.

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Go to World Environmental and Water Resource Congress 2006
World Environmental and Water Resource Congress 2006: Examining the Confluence of Environmental and Water Concerns
Pages: 1 - 10

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Published online: Apr 26, 2012

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Troy A. Doby [email protected]
U. S. Environmental Protection Agency, NRMRL, Sustainable Technology Division, Systems Analysis Branch, 26 W. Martin Luther King Dr., Cincinnati, OH 45268. E-mail: [email protected]
Ishwar Devkota [email protected]
North Carolina Department of Environmental and Natural Resources, Division of Water Quality, Construction Grants and Loans Section, 2728 Capital Blvd., Raleigh, NC 27604. E-mail: [email protected]
Raymond Smith [email protected]
U. S. Environmental Protection Agency, NRMRL, Sustainable Technology Division, Systems Analysis Branch, 26 W. Martin Luther King Dr., Cincinnati, OH 45268. E-mail: [email protected]

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