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Application of an Optimization/Simulation Model for Real-Time Flood-Control Operation of River-Reservoirs Systems

Author

Listed:
  • Daniel Che

    (Ohio University)

  • Larry W. Mays

    (Arizona State University)

Abstract

Application of an optimization/simulation model for the simulated real-time flood control for river-reservoir systems to the catastrophic May 2010 flood on the Cumberland River at Nashville, Tennessee is described. The optimization/simulation model includes five major components, including a hydrologic rainfall-runoff model, a hydraulic unsteady flow model, a short-term rainfall forecasting model, a reservoir operation model, and a genetic algorithm optimization model. The model application revealed that the reservoir upstream of Nashville was more contained and that an optimal gate release schedule could have decreased the floodwater levels in downtown Nashville below the 100-year flood stage. The application is for demonstrative purposes only, but does reflect the suitability of the optimization/simulation model for real-world application.

Suggested Citation

  • Daniel Che & Larry W. Mays, 2017. "Application of an Optimization/Simulation Model for Real-Time Flood-Control Operation of River-Reservoirs Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2285-2297, May.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:7:d:10.1007_s11269-017-1644-3
    DOI: 10.1007/s11269-017-1644-3
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    Citations

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    Cited by:

    1. Jieyu Li & Ping-an Zhong & Feilin Zhu & Juan Chen & Minzhi Yang & Jisi Fu & Weifeng Liu, 2020. "Reduction of the Criteria System for Identifying Effective Reservoirs in the Joint Operation of a Flood Control System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 71-85, January.
    2. Umut Güvengir & Secil Savasaneril & A. Burcu Altan-Sakarya & Serkan Buhan, 2021. "Short-Term Flood Control and Long-Term Energy Maximization in Multi-reservoir Systems Using Improved Particle Swarm Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4293-4307, October.
    3. Navid Shenava & Mojtaba Shourian, 2018. "Optimal Reservoir Operation with Water Supply Enhancement and Flood Mitigation Objectives Using an Optimization-Simulation Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4393-4407, October.
    4. Mahdi Sedighkia & Bithin Datta, 2022. "A simulation-optimization system for evaluating flood management and environmental flow supply by reservoirs," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(3), pages 2855-2879, April.
    5. Farzane Karami & Alireza B. Dariane, 2018. "Many-Objective Multi-Scenario Algorithm for Optimal Reservoir Operation Under Future Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 3887-3902, September.
    6. A. Moridi & J. Yazdi, 2017. "Optimal Allocation of Flood Control Capacity for Multi-Reservoir Systems Using Multi-Objective Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(14), pages 4521-4538, November.

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