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A Multi-criteria Decision-making Optimization Model for Flood Management in Reservoirs

Author

Listed:
  • Banafsheh Nematollahi

    (Shiraz University)

  • Mohammad Reza Nikoo

    (Sultan Qaboos University)

  • Amir H. Gandomi

    (University of Technology Sydney)

  • Nasser Talebbeydokhti

    (Shiraz University)

  • Gholam Reza Rakhshandehroo

    (Shiraz University)

Abstract

Flood management in a reservoir-outlet system is a multi-criterion decision-making (MCDM) issue, in which preventing flood damage and flood overtopping, as well as fulfilling water demands, are often considered essential practices. However, although MCDM models can be used for flood control, there is a knowledge gap in hybrid modeling of the reservoirs and their outlets based on a coupled MCDM and optimization model during the flood. In this paper, an MCDM-optimization model was presented for reservoir systems' optimal designs in flood conditions based on a robust optimization technique, namely multi-objective particle swarm optimization (MOPSO), applying a powerful MCDM tool, so-called complex proportional assessment (COPRAS) for the first time in the literature, considering the weights generated by Shannon Entropy method. The objectives of this optimization model were defined based on the non-linear interval number programming (NINP) technique to optimize the orifice and triangular, rectangular, and proportional weirs specifications. This methodology was applied to a practical reservoir MCDM optimization problem in flood conditions to demonstrate its applicability and efficiency. Results indicated that the proposed framework could successfully and effectually provide the reservoirs and outlets with superior optimal design.

Suggested Citation

  • Banafsheh Nematollahi & Mohammad Reza Nikoo & Amir H. Gandomi & Nasser Talebbeydokhti & Gholam Reza Rakhshandehroo, 2022. "A Multi-criteria Decision-making Optimization Model for Flood Management in Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 4933-4949, October.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:13:d:10.1007_s11269-022-03284-0
    DOI: 10.1007/s11269-022-03284-0
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    References listed on IDEAS

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    1. X. Wang & R. Zhao & Y. Hao, 2011. "Flood Control Operations Based on the Theory of Variable Fuzzy Sets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(3), pages 777-792, February.
    2. Jiang, C. & Han, X. & Liu, G.R. & Liu, G.P., 2008. "A nonlinear interval number programming method for uncertain optimization problems," European Journal of Operational Research, Elsevier, vol. 188(1), pages 1-13, July.
    3. M. Alipour, 2015. "Risk-Informed Decision Making Framework for Operating a Multi-Purpose Hydropower Reservoir During Flooding and High Inflow Events, Case Study: Cheakamus River System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 801-815, February.
    4. V. Jothiprakash & R. Arunkumar, 2013. "Optimization of Hydropower Reservoir Using Evolutionary Algorithms Coupled with Chaos," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 1963-1979, May.
    5. Yi-bin Yu & Ben-de Wang & Guo-li Wang & Wei Li, 2004. "Multi-Person Multiobjective Fuzzy Decision-Making Model for Reservoir Flood Control Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(2), pages 111-124, April.
    6. Durbach, Ian N. & Stewart, Theodor J., 2012. "Modeling uncertainty in multi-criteria decision analysis," European Journal of Operational Research, Elsevier, vol. 223(1), pages 1-14.
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