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Multi-Objective Hydraulic Optimization of Diversion Dam’s Cut-Off

Author

Listed:
  • Nafiseh Khoramshokooh

    (Shiraz University)

  • Mehdi Veiskarami

    (Shiraz University)

  • Mohammad Reza Nikoo

    (Shiraz University)

  • Somayeh Pourvahedi Roshandeh

    (University of Guilan)

Abstract

The seepage flow beneath a hydraulic structure is formed by the hydraulic head difference between the upstream and downstream sides. Cut-off walls are often applied, as an expedience, to reduce the seepage flow through the foundation of diversion dams and to enhance the efficiency of these dams. In this research, perhaps for the first time, a novel methodology is propounded to assess the optimum characteristics of cut-off walls in diversion dams in order to ameliorate hydraulic interactions between the diversion dam foundation and the cut-off walls behavior, also their construction cost is minimized. The results are used to train and validate the Multi-Layer Perceptron (MLP) simulation model. Then MLP, as a meta-model for simulation of the hydraulic behavior of cut-off walls, is coupled with a robust multi-objective optimization algorithm, Non-dominated Sorting Genetic Algorithm-ΙΙ (NSGA-ΙΙ), to create a trade-off between the intended goals. Finally, Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) decision making model and Nash-Harsanyi bargaining model are utilized to find the compromise design optimal solution on the trade-off curve. Results demonstrate that the best agreed-upon design optimal solution using PROMETHEE and Nash-Harsanyi bargaining models can be considered as (10, 3.84, 32) meters and (2.47, 10, 29.22) meters for optimum depth of the upstream and downstream cut-off walls and the optimum distance between them, respectively.

Suggested Citation

  • Nafiseh Khoramshokooh & Mehdi Veiskarami & Mohammad Reza Nikoo & Somayeh Pourvahedi Roshandeh, 2018. "Multi-Objective Hydraulic Optimization of Diversion Dam’s Cut-Off," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(11), pages 3723-3736, September.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:11:d:10.1007_s11269-018-2015-4
    DOI: 10.1007/s11269-018-2015-4
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    References listed on IDEAS

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    1. Fausto Cavallaro & University of Molise, 2005. "An Integrated Multi-Criteria System to Assess Sustainable Energy Options: An Application of the Promethee Method," Working Papers 2005.22, Fondazione Eni Enrico Mattei.
    2. Nash, John, 1950. "The Bargaining Problem," Econometrica, Econometric Society, vol. 18(2), pages 155-162, April.
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    4. 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.
    5. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1984. "Prométhée: a new family of outranking methods in multicriteria analysis," ULB Institutional Repository 2013/9305, ULB -- Universite Libre de Bruxelles.
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    Cited by:

    1. Farzin Salmasi & Meysam Nouri & John Abraham, 2020. "Upstream Cutoff and Downstream Filters to Control of Seepage in Dams," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 4271-4288, October.
    2. Waqed H. Hassan & Hussein H. Hussein & Duaa H. Khashan & Musa H. Alshammari & Basim K. Nile, 2022. "Application of the Coupled Simulation–optimization Method for the Optimum Cut-off Design Under a Hydraulic Structure," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4619-4636, September.

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