Chapter
Apr 26, 2012
The Effect of Assumptions on Unknown Parameter Values in Forecasting Reliability of Meeting Effluent Limits
Authors: Troy A. Doby [email protected], Ishwar Devkota [email protected], and Raymond Smith [email protected]Author Affiliations
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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Information
Published In
World Environmental and Water Resource Congress 2006: Examining the Confluence of Environmental and Water Concerns
Pages: 1 - 10
Copyright
© 2006 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Clean Water Act
- Effluents
- Engineering fundamentals
- Flow (fluid dynamics)
- Fluid dynamics
- Fluid mechanics
- Forecasting
- Hydrologic engineering
- Hydrologic models
- Mathematics
- Methodology (by type)
- Models (by type)
- Monte Carlo method
- Numerical methods
- Parameters (statistics)
- Statistics
- Two-dimensional flow
- Water (by type)
- Water and water resources
- Water discharge
- Water management
- Water policy
Authors
Affiliations
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]
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]
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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