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Modeling Integrated Decisions for a Municipal Water System with Recourse and Uncertainties: Amman, Jordan

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  • David Rosenberg
  • Jay Lund

Abstract

Stochastic mixed-integer optimization is used to identify a portfolio of long- and short-term supply and conservation actions for a municipal water system to cost-effectively accommodate a distribution of water shortages. Alternative robust, grey-number, and best/worst case formulations systematically explore implications of uncertainties in action costs, life spans, water volumes gained or saved, shortage levels, and shortage probabilities. A detailed example for Amman, Jordan considers 23 potential actions. Results show: (1) remarkable consistency occurs across the different modeling approaches. (2) Conserving water—reducing leakage and targeting select customers to install water efficient appliances—plays an important and growing role over time. (3) A delayed need for large supply projects like pumping the Disi aquifer. (4) No role appears for seawater desalination (Red–Dead Canal) before 2040. (5) Desalinating brackish Zara-Ma’een water is the low-cost option to increase water availability to customers but requires substantial capital investments. And (6) two shortcomings arise for grey-number and best/worst case approaches. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • David Rosenberg & Jay Lund, 2009. "Modeling Integrated Decisions for a Municipal Water System with Recourse and Uncertainties: Amman, Jordan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(1), pages 85-115, January.
    • Handle: RePEc:spr:waterr:v:23:y:2009:i:1:p:85-115
    DOI: 10.1007/s11269-008-9266-4
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    Cited by:

    1. Claudio Arena & Marcella Cannarozzo & Mario Mazzola, 2014. "Screening Investments to Reduce the Risk of Hydrologic Failures in the Headwork System Supplying Apulia (Italy) – Role of Economic Evaluation and Operation Hydrology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1251-1275, March.
    2. Fiorenzo Franceschini & Maurizio Galetto & Elisa Turina, 2010. "Water and Sewage Service Quality: A Proposal of a New Multi-Questionnaire Monitoring Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 3033-3050, September.
    3. Abdelghani A. Elimam & Maurice A. Girgis, 2012. "Optimization of Water Resources Planning for Jordan's Aqaba Special Economic Zone," Interfaces, INFORMS, vol. 42(6), pages 528-543, December.
    4. João Vieira & Maria Conceição Cunha, 2017. "Nested Optimization Approach for the Capacity Expansion of Multiquality Water Supply Systems under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1381-1395, March.
    5. Q. Tan & G. Huang & Y. Cai, 2013. "Multi-Source Multi-Sector Sustainable Water Supply Under Multiple Uncertainties: An Inexact Fuzzy-Stochastic Quadratic Programming Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 451-473, January.
    6. Longxia Qian & Hongrui Wang & Keni Zhang, 2014. "Evaluation Criteria and Model for Risk Between Water Supply and Water Demand and its Application in Beijing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4433-4447, October.
    7. Dai, C. & Cai, Y.P. & Ren, W. & Xie, Y.F. & Guo, H.C., 2016. "Identification of optimal placements of best management practices through an interval-fuzzy possibilistic programming model," Agricultural Water Management, Elsevier, vol. 165(C), pages 108-121.
    8. Li, Xiaojuan & Kang, Shaozhong & Niu, Jun & Du, Taisheng & Tong, Ling & Li, Sien & Ding, Risheng, 2017. "Applying uncertain programming model to improve regional farming economic benefits and water productivity," Agricultural Water Management, Elsevier, vol. 179(C), pages 352-365.

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