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Decision-Making Framework, Enhanced by Mutual Inspection for First-Stage Dam Construction Diversion Scheme Selection

Author

Listed:
  • Zida Song

    (Wuhan University
    Wuhan University)

  • Quan Liu

    (Wuhan University
    Wuhan University)

  • Zhigen Hu

    (Wuhan University
    Wuhan University)

Abstract

Construction diversion is necessary for damming, and First-Stage Diversion Scheme Selection (FDSS) is of significance in damming process control. To effectively select the first-stage diversion scheme, a theoretical Decision-Making Framework (DMF) is presented and its decision-making basis includes diversion risk, costs, social attitudes and duration. With multiple aspects of concerns, the FDSS can be solved by Multi-Attribute Decision Making (MADM) methods and the complex diversion risk assessment can be achieved by the Monte Carlo Simulation (MCS). Mutual Inspection (MI) is based on a MADM feature of Partially Different Results (PDR), which should involve different MADM methods in solving the same problem and can reduce method difference-derived error within MADM results by mutually contrasting the PDR and refining ranking messages. Basing on these theoretical studies, the DMF for FDSS is developed, which contains two parts, the Risk Detector that assesses diversion risk of alternatives through MCS and the Decision Solver that undertakes decision-making preliminary and MADM enhanced by MI for solving FDSS. To demonstrate the DMF with MI, a case study that applies suitable MADM methods (viz. TOPSIS and ELECTRE I) for carrying out MI is conducted. Case results show that the DMF can solve the FDSS as it selects the optimal (S6) among six alternatives, the MI can enhance the DMF as it refines ranking messages about alternatives in the final MADM results. The DMF with MI can benefit the damming industry and contribute to the overall water resources management.

Suggested Citation

  • Zida Song & Quan Liu & Zhigen Hu, 2020. "Decision-Making Framework, Enhanced by Mutual Inspection for First-Stage Dam Construction Diversion Scheme Selection," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 563-577, January.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:2:d:10.1007_s11269-019-02461-y
    DOI: 10.1007/s11269-019-02461-y
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    References listed on IDEAS

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    Cited by:

    1. Georgios K. Koulinas & Olympia E. Demesouka & Konstantinos A. Sidas & Dimitrios E. Koulouriotis, 2021. "A TOPSIS—Risk Matrix and Monte Carlo Expert System for Risk Assessment in Engineering Projects," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    2. Ahmad Sharafati & Siyamak Doroudi & Shamsuddin Shahid & Ali Moridi, 2021. "A Novel Stochastic Approach for Optimization of Diversion System Dimension by Considering Hydrological and Hydraulic Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3649-3677, September.
    3. Hao Wang & Quan Liu & Hongyang Zhang & Yinlong Jin & Wenzhen Yu, 2022. "A Two-Stage Decision-Making Method Based on WebGIS for Bulk Material Transportation of Hydropower Construction," Energies, MDPI, vol. 15(5), pages 1-21, February.
    4. Zida Song & Quan Liu & Zhigen Hu & Chunsheng Zhang & Jinming Ren & Zhexin Wang & Jianhai Tian, 2020. "Construction Diversion Risk Assessment for Hydropower Development on Sediment-Rich Rivers," Energies, MDPI, vol. 13(4), pages 1-20, February.

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