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A Framework for Sustainable Strategic Planning of Water Demand and Supply in Arid Regions

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  • Mohammad Ebrahim Banihabib
  • Farkhondeh Hashemi
  • Mohammad Hadi Shabestari

Abstract

This paper addresses strategic planning of water resources in an arid region based on sustainable development criteria (SDC). Three multi‐criteria decision‐making (MCDM) models, simple additive weighting (SAW), the analytic hierarchy process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), were used for detailed ranking of the strategies and assessing the result of the Quantitative Strategic Planning Matrix (QSPM). The results of the MCDM models were not identical, so we used aggregation approaches including mean rank, Borda count and Copeland's methods to integrate rankings. The results of sensitivity analysis revealed that all MCDM models were sensitive to the social and environmental criteria. The SAW and AHP models were also less sensitive to changes in criterion weights than the TOPSIS model. The results showed the priority of the MCDM models over QSPM analysis in incorporating SDC in detailed evaluation of the strategies. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment

Suggested Citation

  • Mohammad Ebrahim Banihabib & Farkhondeh Hashemi & Mohammad Hadi Shabestari, 2017. "A Framework for Sustainable Strategic Planning of Water Demand and Supply in Arid Regions," Sustainable Development, John Wiley & Sons, Ltd., vol. 25(3), pages 254-266, May.
    • Handle: RePEc:wly:sustdv:v:25:y:2017:i:3:p:254-266
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    Cited by:

    1. Heidary Dahooie, Jalil & Qorbani, Ali Reza & Daim, Tugrul, 2021. "Providing a framework for selecting the appropriate method of technology acquisition considering uncertainty in hierarchical group decision-making: Case Study: Interactive television technology," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    2. Seijger, Chris & Hellegers, Petra, 2023. "How do societies reform their agricultural water management towards new priorities for water, agriculture, and the environment?," Agricultural Water Management, Elsevier, vol. 277(C).
    3. Yaser Tahmasebi Birgani & Farhad Yazdandoost, 2018. "An Integrated Framework to Evaluate Resilient-Sustainable Urban Drainage Management Plans Using a Combined-adaptive MCDM Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2817-2835, June.
    4. Abbas Roozbahani & Ebrahim Ebrahimi & Mohammad Ebrahim Banihabib, 2018. "A Framework for Ground Water Management Based on Bayesian Network and MCDM Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4985-5005, December.
    5. Mohammad Ebrahim Banihabib & Mahmoud Mohammad Rezapour Tabari & Mohsen Mohammad Rezapour Tabari, 2019. "Development of a Fuzzy Multi-Objective Heuristic Model for Optimum Water Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3673-3689, September.

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