IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v31y2017i7d10.1007_s11269-017-1644-3.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-017-1644-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-017-1644-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:31:y:2017:i:7:d:10.1007_s11269-017-1644-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.