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An Integrated Assessment Model for Valuing Water Quality Changes in the United States

Author

Listed:
  • Joel Corona
  • Todd Doley
  • Charles Griffiths
  • Matthew Massey
  • Chris Moore
  • Stephen Muela
  • Brenda Rashleigh
  • William Wheeler
  • Stephen D. Whitlock
  • Julie Hewitt

Abstract

The U.S. Environmental Protection Agency (EPA) often requires expertise from environmental assessors, hydrologists, economists, and others to analyze the benefits of regional and national policy decisions related to changes in water quality. This led the EPA to develop two models to form an integrated assessment model: HAWQS is a web-based water quantity and quality modeling system, and BenSPLASH is a modeling platform for quantifying the economic benefits of changes in water quality. This paper discusses the development of the component models and applies HAWQS and BenSPLASH to a case study in the Republican River basin.

Suggested Citation

  • Joel Corona & Todd Doley & Charles Griffiths & Matthew Massey & Chris Moore & Stephen Muela & Brenda Rashleigh & William Wheeler & Stephen D. Whitlock & Julie Hewitt, 2020. "An Integrated Assessment Model for Valuing Water Quality Changes in the United States," Land Economics, University of Wisconsin Press, vol. 96(4), pages 478-492.
    • Handle: RePEc:uwp:landec:v:96:y:2020:i:4:p:478-492
    Note: DOI: 10.3368/wple.96.4.478
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    Citations

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    Cited by:

    1. Yau-Huo Shr & Wendong Zhang, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction? Evidence from a Discrete Choice Experiment," Center for Agricultural and Rural Development (CARD) Publications 21-wp620, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. Zach Raff & Andrew Meyer, 2022. "CAFOs and Surface Water Quality: Evidence from Wisconsin," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 161-189, January.
    3. Shr, Yau-Huo Jimmy & Zhang, Wendong, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction Programs: Evidence from a Discrete Choice Experiment," 2021 Annual Meeting, August 1-3, Austin, Texas 313927, Agricultural and Applied Economics Association.
    4. Ancev, Tihomir & Carriquiry, Miguel A. & Frabasile, Franco & Saracho, Andres & Rosas, Juan Francisco, 2023. "The assessment of economic and environmental impacts of water use efficiency and farm practices through an economic and biophysical integrated model," 2023 Annual Meeting, July 23-25, Washington D.C. 335895, Agricultural and Applied Economics Association.
    5. Robert J. Johnston & Kevin J. Boyle & Maria L. Loureiro & Ståle Navrud & John Rolfe, 2021. "Guidance to Enhance the Validity and Credibility of Environmental Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 575-624, July.
    6. Richard C. Bishop & Kevin J. Boyle, 2021. "On Adding-Up as a Validity Criterion for Stated-Preference Studies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 587-601, November.
    7. Souto, Augusto & Carriquiry, Miguel A. & Rosas, Juan Francisco, 2021. "Assessing the Impact of Agricultural Intensification on Water Pollution: An Integrated Model Assessment of the San Salvador Basin in Uruguay," 2021 Annual Meeting, August 1-3, Austin, Texas 314037, Agricultural and Applied Economics Association.

    More about this item

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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