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Multi-Objective Water Planning in a Poor Water Data Region: Aragvi River Basin

Author

Listed:
  • Samuel Sandoval-Solis

    (Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA)

  • Jose Pablo Ortiz Partida

    (Climate and Energy Program, Union of Concerned Scientists, Oakland, CA 94607, USA)

  • Lindsay Floyd

    (Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA)

Abstract

Water resources planning in regions with sufficient data continuity and quality is complex, but in regions with poor water data, the task is further complicated. In this paper, we share our experience developing a multi-objective technical assessment of water resources in a region with scarce water data. This research is an example of collaborative modeling in which stakeholders were involved during the modeling process to create a model using the Shared Vision collaborative strategy for water planning in the Aragvi River Basin in the country of Georgia. We developed a regional water planning model suitable for evaluating water supply and water demand interaction as well as current and alternative water management strategies. Remarks from scenario development enlightened the need for water efficiency and conservation activities as currently the system is not entirely reliable, and its reliability is expected to decline with population growth and increased hydropower demands. This research is a strong foundation for future water-related projects in the region.

Suggested Citation

  • Samuel Sandoval-Solis & Jose Pablo Ortiz Partida & Lindsay Floyd, 2022. "Multi-Objective Water Planning in a Poor Water Data Region: Aragvi River Basin," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3649-:d:775546
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    References listed on IDEAS

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    2. Voinov, Alexey & Gaddis, Erica J. Brown, 2008. "Lessons for successful participatory watershed modeling: A perspective from modeling practitioners," Ecological Modelling, Elsevier, vol. 216(2), pages 197-207.
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