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Fuzzy Multi-Objective Simulation-Optimization of Stepped Spillways Considering Flood Uncertainty

Author

Listed:
  • Mehrdad Ghorbani Mooselu

    (Shiraz University)

  • Mohammad Reza Nikoo

    (Shiraz University
    Sultan Qaboos University)

  • Nooshin Bakhtiari Rayani

    (Shiraz University)

  • Azizallah Izady

    (Sultan Qaboos University)

Abstract

The design of stepped spillways is a multi-objective optimization problem in which the uncertainty of parameters plays a key role in the stepped spillways’ design. A Fuzzy Transformation Method (FTM), as a first attempt, was employed to address the uncertainty through a multi-objective optimization of the stepped spillway. The proposed methodology comprises two parts. A numerical model is developed by FLOW3D® and the Multi-Layer Perceptron artificial neural network (MLP-ANN) meta-model was trained and validated to substitute the numerical model. Then, the meta-model is coupled with a multi-objective optimization model to find the optimal design scenarios in each α-cut level. Finally, two multi-criteria decision-making (MCDM) models are applied to achieve the lower and upper bounds of optimum solutions. The application of proposed methodology in Jarreh dam, Iran, shows its capability in satisfying the objectives and also addressing the uncertainty in stepped spillways’ design.

Suggested Citation

  • Mehrdad Ghorbani Mooselu & Mohammad Reza Nikoo & Nooshin Bakhtiari Rayani & Azizallah Izady, 2019. "Fuzzy Multi-Objective Simulation-Optimization of Stepped Spillways Considering Flood Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2261-2275, May.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:7:d:10.1007_s11269-019-02263-2
    DOI: 10.1007/s11269-019-02263-2
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    References listed on IDEAS

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    1. Mohammad Nikoo & Nafise Khorramshokouh & Shahryar Monghasemi, 2015. "Optimal Design of Detention Rockfill Dams Using a Simulation-Based Optimization Approach with Mixed Sediment in the Flow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5469-5488, December.
    2. Rahman Khatibi & Farzin Salmasi & Mohammad Ghorbani & Hakimeh Asadi, 2014. "Modelling Energy Dissipation Over Stepped-gabion Weirs by Artificial Intelligence," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1807-1821, May.
    3. Mojtaba Sadegh & Reza Kerachian, 2011. "Water Resources Allocation Using Solution Concepts of Fuzzy Cooperative Games: Fuzzy Least Core and Fuzzy Weak Least Core," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2543-2573, August.
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    5. Farhadi, Saber & Nikoo, Mohammad Reza & Rakhshandehroo, Gholam Reza & Akhbari, Masih & Alizadeh, Mohammad Reza, 2016. "An agent-based-nash modeling framework for sustainable groundwater management: A case study," Agricultural Water Management, Elsevier, vol. 177(C), pages 348-358.
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    Cited by:

    1. Wei Lu & Xiaosheng Qin, 2019. "An Integrated Fuzzy Simulation-Optimization Model for Supporting Low Impact Development Design under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4351-4365, September.

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