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Developing an Interactive Spatial Multi-Attribute Decision Support System for Assessing Water Resources Allocation Scenarios

Author

Listed:
  • Ebrahim Mokallaf Sarband

    (Shahid Beheshti University)

  • Shahab Araghinejad

    (Stantec)

  • Jalal Attari

    (Shahid Beheshti University)

Abstract

In water resource management, assessing water resource allocation scenarios (WRASs) is an important multi-attribute decision making (MADM) problem. It involves spatially varied indicators, which interact with each other and impacts of the scenarios. These attributes are often simplified by using conventional Decision Support Systems (DSSs). In present research, a novel interactive spatial DSS for assessment of WRASs was developed. Effects of indicators type, decision matrix structures, and MADM models on priorities and ranks of scenarios were investigated in Aras basin. Sensitivity analysis of results showed that the interactive structure, comprising spatially distributed indicators and analytical network process (SANP), was the most stable model in terms of ranking. Providing more realistic results, the developed SDSS can be applied in other basins or for other MADM problems.

Suggested Citation

  • Ebrahim Mokallaf Sarband & Shahab Araghinejad & Jalal Attari, 2020. "Developing an Interactive Spatial Multi-Attribute Decision Support System for Assessing Water Resources Allocation Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 447-462, January.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:2:d:10.1007_s11269-019-02291-y
    DOI: 10.1007/s11269-019-02291-y
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    Cited by:

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    2. Alireza Taghdisian & Sandra G. F. Bukkens & Mario Giampietro, 2022. "A Societal Metabolism Approach to Effectively Analyze the Water–Energy–Food Nexus in an Agricultural Transboundary River Basin," Sustainability, MDPI, vol. 14(15), pages 1-25, July.
    3. Alessandro Pagano & Raffaele Giordano & Michele Vurro, 2021. "A Decision Support System Based on AHP for Ranking Strategies to Manage Emergencies on Drinking Water Supply Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 613-628, January.
    4. Xiaojing Shen & Xu Wu & Xinmin Xie & Chuanjiang Wei & Liqin Li & Jingjing Zhang, 2021. "Synergetic Theory-Based Water Resource Allocation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2053-2078, May.

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