State Water Pollution Control Policy Insights from a Reduced-Form Model
Publication: Journal of Water Resources Planning and Management
Volume 130, Issue 2
Abstract
Regulatory policy analyses are often based on the results of computer-intensive models that have limitations resulting from their complexity, size, and run-time requirements. This paper describes and applies a reduced-form model (RFM) of a large-scale water quality model developed for regulatory decision support. The RFM addresses the needs of decision makers who are interested in assessing uncertainty in model estimates and developing prescriptive applications of the model. This paper describes the RFM and demonstrates its applicability to four U.S. states that vary in environmental and socioeconomic characteristics. An application to combined sewer overflow (CSO) policy is developed to illustrate how the RFM can improve decision support. Economic benefits of CSO controls are simulated using the RFM and compared with the U.S. Environmental Protection Agency’s control cost estimates. The sensitivity of these benefits to assumptions of the benefit-cost analysis is tested. In terms of environmental decision making, the RFM reveals that it is more important to resolve what loading rates are most appropriate for benefit-cost analysis than it is to precisely model wet-weather hydrology.
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References
Bingham, T. H., et al. (2000). A benefits assessment of water pollution control programs since 1972, prepared by Research Triangle Institute for the Office of Water and Office of Policy, Economics and Innovation, U.S. Environmental Protection Agency, Washington, D.C.
Bondelid, T. R., Unger, S. J., and Stoddard, A. (2000). “National Water Pollution Control Assessment Model (NWPCAM) Version 1.1.” Final Rep., prepared by Research Triangle Institute for the Office of Water and Office of Policy, Economics and Innovation, U.S. Environmental Protection Agency, Washington, D.C.
Box, G., and Draper, N. R. (1987). Empirical model-building and response surfaces, Wiley, New York.
Box, G., Hunter, W. G., and Hunter, J. S. (1978). Statistics for experimenters: An introduction to design, data analysis and model building, Wiley, New York.
Carson, R. T.(2000). “Contingent valuation: A user’s guide.” Environ. Sci. Technol., 34(8), 1413–1418.
Carson, R. T., and Mitchell, R. C.(1993). “The value of clean water: The public’s willingness to pay for boatable, fishable and swimmable quality water.” Water Resour. Res., 29(7), 2445–2454.
Chapra, S. C. (1997). Surface water quality modeling, McGraw-Hill, New York.
Cocca, P. (2001). “Mercury Maps: A quantitative spatial link between air deposition and fish tissue.” EPA-823-R-01-009, Peer-Reviewed Final Rep., U.S. Environmental Protection Agency, Office of Water, Washington, D.C.
Downing, D. J., Gardner, R. H., and Hoffman, F. O.(1985). “An examination of response surface methodologies for uncertainty analysis in assessment models.” Technometrics, 27(2), 151–163.
Henderson, F. M. (1966). Open-channel flow, Macmillan, New York.
Law, A. M., and Kelton, W. D. (1991). Simulation modeling and analysis, McGraw-Hill, New York.
Mitchell, R. C., and Carson, R. T. (1986). “The use of contingent valuation data for benefit/cost analysis in water pollution control.” Rep. by Resources for the Future to the Office of Policy Analysis, U.S. Environmental Protection Agency, Washington, D.C.
Morgan, M. G., and Henrion, M. (1990). Uncertainty: A guide to dealing with uncertainty in quantitative risk and policy analysis, Cambridge University Press, Cambridge, U.K.
National Oceanic and Atmospheric Association (NOAA). (1993). “Natural resource damage assessments under the Oil Pollution Act of 1990.” Federal Register 58, No. 10, January 15, 4601–4614.
Rubin, E. S., Small, M. J., Bloyd, C. N., and Henrion, M.(1992). “Integrated assessment of acid-deposition effects on lake acidification.” J. Environ. Eng., 118(1), 120–134.
Schultz, M. T. (2002). “Performance assessment in water quality regulation.” PhD thesis, Carnegie Mellon Univ., Pittsburgh.
Sinha, R., Small, M. J., Ryan, P. F., Sullivan, T. J., and Cosby, B. J.(1998). “Reduced-form modeling of surface water and soil chemistry for the tracking and analysis framework.” Water, Air, Soil Pollut., 105(3–4), 617–642.
Small, M. J., and Sutton, M. C.(1986). “A direct distribution model for regional aquatic acidification.” Water Resour. Res., 22(13), 1749–1758.
Small, M. J., Sutton, M. C., and Milke, M. W.(1988). “Parametric distributions of regional lake chemistry: Fitted and derived.” Environ. Sci. Technol., 22(2), 196–204.
Thomann, R. V., and Mueller, J. A. (1987). Principles of surface water quality modeling and control, Harper and Row, New York.
U.S. Environmental Protection Agency (EPA). (1997). “1996 Clean water needs survey.” Rep. to Congress, EPA 832-R-97-003, Office of Wastewater Management, Environmental Protection Agency, Washington, D.C.
U.S. Environmental Protection Agency (EPA). (2001). “Economic analysis of the proposed revisions to the National Pollutant Discharge Elimination System regulation and the effluent guidelines for concentrated animal feeding operations.” EPA 821-R-01-001, Office of Water, U.S. Environmental Protection Agency, Washington, D.C.
Vaughn, R. (1986). “The RFF water quality ladder.” Appendix B, R. C. Mitchell and R. T. Carson, The use of contingent valuation data for benefit/cost analysis in water pollution control, Rep. to Office of Policy Analysis, U.S. Environmental Protection Agency by Resources for the Future, Washington, D.C.
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Published In
Journal of Water Resources Planning and Management
Volume 130 • Issue 2 • March 2004
Pages: 150 - 159
Copyright
Copyright © 2004 American Society of Civil Engineers.
History
Received: Oct 30, 2002
Accepted: Feb 19, 2003
Published online: Feb 19, 2004
Published in print: Mar 2004
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