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Optimal Conjunctive Use of Groundwater and Recycled Wastewater

Author

Listed:
  • James Roumasset

    (University of Hawaii, Department of Economics
    University of Hawaii Econonmic Research Organization)

  • Christopher Wada

    (University of Hawaii Econonmic Research Organization)

Abstract

Inasmuch as water demand is multifaceted, infrastructure planning should be part of a general specification of efficient quantities and qualities of water deliveries over time. Accordingly, we develop a two-sector dynamic optimization model to solve for the optimal trajectories of groundwater extraction and water recycling. For the case of spatially increasing costs, recycled water serves as an intermediate resource in transition to the desalination steady state. For constant unit recycling cost, recycled wastewater eventually supplies non-potable users as a sector-specific backstop, while desalination supplements household groundwater in the steady state. In both cases, recycling water increases welfare by shifting demand away from the aquifer, thus delaying implementation of costly desalination. Implementation of the model provides guidance on the appropriate timing and size of backstop and recycling infrastructure as well as water deliveries from the various sources to the water-demand sectors.

Suggested Citation

  • James Roumasset & Christopher Wada, 2010. "Optimal Conjunctive Use of Groundwater and Recycled Wastewater," Working Papers 201013, University of Hawaii at Manoa, Department of Economics.
  • Handle: RePEc:hai:wpaper:201013
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    File URL: http://www.economics.hawaii.edu/research/workingpapers/WP_10-13.pdf
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    Cited by:

    1. is not listed on IDEAS
    2. James Roumasset & Christopher Wada, 2012. "The Economics of Groundwater," Working Papers 2012-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    3. Karl Jandoc & Ruben Juarez & James Roumasset, 2014. "Towards an Economics of Irrigation Networks," Working Papers 201416, University of Hawaii at Manoa, Department of Economics.
    4. Amine Chekireb & Julio Goncalves & Hubert Stahn & Agnes Tomini, 2021. "Private exploitation of the North-Western Sahara Aquifer System," AMSE Working Papers 2144, Aix-Marseille School of Economics, France.
    5. Stahn, Hubert & Tomini, Agnès, 2017. "On conjunctive management of groundwater and rainwater," Resource and Energy Economics, Elsevier, vol. 49(C), pages 186-200.
    6. James Roumasset & Christopher Wada, 2014. "Groundwater Economics without Equations," Working Papers 2014-8, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    7. James Roumasset & Christopher Wada, 2013. "Integrating Demand-Management with Development of Supply-Side Substitutes," Working Papers 2013-13, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    8. James Roumasset & Christopher Wada, 2014. "Integrated Groundwater Resource Management," Working Papers 201414, University of Hawaii at Manoa, Department of Economics.
    9. Luckmann, Jonas & Grethe, Harald & McDonald, Scott, 2015. "When Water Saving Limits Recycling: Modeling Cascading Water Use in a Computable General Equilibrium Framework," Conference papers 332622, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    10. Ariana M. Pietrasanta & Mostafa F. Shaaban & Pio A. Aguirre & Sergio F. Mussati & Mohamed A. Hamouda, 2023. "Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research," Sustainability, MDPI, vol. 15(12), pages 1-28, June.

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    JEL classification:

    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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