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Optimization of gated spillways operation for flood risk management in multi-reservoir systems

Author

Listed:
  • Morteza Zargar

    (Shahid Chamran University)

  • Hossein M. V. Samani

    (Shahid Chamran University)

  • Ali Haghighi

    (Shahid Chamran University)

Abstract

In this research, a flood control operation policy based on a simulation–optimization model is developed for minimizing flood damage downstream of multi-reservoir systems by using spillway gates. The operation policy is based on a multistage method used to control floods of various magnitudes in reservoirs with gated spillways. In this operation policy, it is assumed that the system has no flood forecast, and thus shapes and sizes of the inflow hydrographs are not prior known. In this method, the rate of flow released in each stage level is decided according to the current reservoir water level and determined in such a way that flood damage risk for downstream areas is minimized while the dams’ safety is maintained. For this purpose, an optimization algorithm is introduced in which the expected annual flood damage downstream of the river system is the objective function and the spillway release discharges in stage levels of spillways gates are the decision variables. A continuous genetic algorithm is utilized to solve this problem. As a case study, the Karun River system including multi-reservoir of Karun 4, Karun 3, Karun 1 and Gotvand is analyzed. Results obtained from the proposed model indicate dramatic decrease in the expected annual flood damage. Comparison of the results with other studies shows that the proposed model has a better ability in flood control and minimization of damage costs.

Suggested Citation

  • Morteza Zargar & Hossein M. V. Samani & Ali Haghighi, 2016. "Optimization of gated spillways operation for flood risk management in multi-reservoir systems," 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. 82(1), pages 299-320, May.
    • Handle: RePEc:spr:nathaz:v:82:y:2016:i:1:d:10.1007_s11069-016-2202-7
    DOI: 10.1007/s11069-016-2202-7
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    References listed on IDEAS

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    1. Fi-John Chang & Li Chen, 1998. "Real-Coded Genetic Algorithm for Rule-Based Flood Control Reservoir Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 12(3), pages 185-198, June.
    2. El-Said Ahmed & Larry Mays, 2013. "Model for determining real-time optimal dam releases during flooding conditions," 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. 65(3), pages 1849-1861, February.
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    4. Hui Qin & Jianzhong Zhou & Youlin Lu & Yinghai Li & Yongchuan Zhang, 2010. "Multi-objective Cultured Differential Evolution for Generating Optimal Trade-offs in Reservoir Flood Control Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2611-2632, September.
    5. D. Nagesh Kumar & Falguni Baliarsingh & K. Srinivasa Raju, 2010. "Optimal Reservoir Operation for Flood Control Using Folded Dynamic Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1045-1064, April.
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    Cited by:

    1. Arvin Samadi-koucheksaraee & Iman Ahmadianfar & Omid Bozorg-Haddad & Seyed Amin Asghari-pari, 2019. "Gradient Evolution Optimization Algorithm to Optimize Reservoir Operation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 603-625, January.
    2. Lejun Ma & Huan Wang & Baohong Lu & Changjun Qi, 2018. "Application of Strongly Constrained Space Particle Swarm Optimization to Optimal Operation of a Reservoir System," Sustainability, MDPI, vol. 10(12), pages 1-15, November.

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