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Effective Optimization-Simulation Model for Flood Control of Cascade Barrage Network

Author

Listed:
  • Yong-Gun Kim

    (Harbin Institute of Technology
    Kim Il Sung University)

  • Myong-Bong Jo

    (Kim Il Sung University)

  • Pyol Kim

    (Kim Il Sung University)

  • Song-Nam Oh

    (Kim Il Sung University)

  • Chung-Hyok Paek

    (Kim Il Sung University)

  • Sung-Ryol So

    (Kim Il Sung University)

Abstract

In this study, a novel simulation-optimization model for the optimal flood control of the cascade barrage network was proposed by combining a simulation-based optimization method with a one-dimensional flood numerical analysis method. The simulation-based optimization method determines the optimal operation rules of cascade barrages, including the pre-discharge stage algorithm and the main-discharge stage algorithm for the securement of flood control storage and the establishment of a minimal discharge plan. The optimal operation rules describe the detailed operation process of barrage floodgates including full and partial opening and provide the upper and downstream boundary conditions for the flood numerical analysis method, which evaluate the flood propagation in the river channel between barrages. The proposed model was applied to the flood control of the six-cascade barrage network in the Taedong River, Democratic People’s Republic of Korea, and its effectiveness was verified in comparison with a well-known PSO-optimization method. The results show that the proposed model is superior to the existing other method and practically applicable to the flood control in the rivers with cascade barrage network.

Suggested Citation

  • Yong-Gun Kim & Myong-Bong Jo & Pyol Kim & Song-Nam Oh & Chung-Hyok Paek & Sung-Ryol So, 2021. "Effective Optimization-Simulation Model for Flood Control of Cascade Barrage Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 135-157, January.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:1:d:10.1007_s11269-020-02715-0
    DOI: 10.1007/s11269-020-02715-0
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    References listed on IDEAS

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    1. Hong Wang & Xiaodong Zhang, 2018. "A Decentralized Bi-Level Fuzzy Two-Stage Decision Model for Flood Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1615-1629, March.
    2. Daniel Che & Larry Mays, 2015. "Development 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. 29(11), pages 3987-4005, September.
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    Cited by:

    1. Alisson Lopes Rodrigues & Lineu Neiva Rodrigues & Guilherme Fernandes Marques & Pedro Manuel Villa, 2023. "Simulation Model to Assess the Water Dynamics in Small Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2019-2038, March.
    2. Di Zhu & Hua Chen & Yanlai Zhou & Yadong Mei & Xinfa Xu & Shenglian Guo, 2022. "A Triple-stage Operation Method for Deriving Operation Rules for Cascade Reservoirs during Catastrophic Flood Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 4863-4883, October.

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