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Volume 20 Issue 6
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GAN Fu-wan, LI Yi-tian, DENG Jin-yun, CHEN Jian. Optimization model for reservoir sediment regulation[J]. Advances in Water Science, 2009, 20(6): 863-868.
Citation: GAN Fu-wan, LI Yi-tian, DENG Jin-yun, CHEN Jian. Optimization model for reservoir sediment regulation[J]. Advances in Water Science, 2009, 20(6): 863-868.
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Optimization model for reservoir sediment regulation

  • 1.

    State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;

  • 2.

    Guangxi Water and Power Design Institute, Nanning 530023, China;

  • 3.

    North China University of Water Conservancy and Hydroelectric Power, Zhengzhou 450011, China

Funds: The study is financially supported by the National Natural Science Foundation of China (No.50509020)
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  • Received Date: September 15, 2008
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    • Abstract
  • The optimizing sediment regulation will safeguard long-term reservoir operations and maximize the reservoir effectiveness. In this study, an optimization model for reservoir sediment regulation is developed based on the principle of efficiently removing sediment. The reservoir sedimentation is calculated using a one-dimensional water-sediment transport model, the back-propagation neural network is adopted in the model training processes, and a genetic algorithm is used to ensure the high performance in the model calibration. The model is applied to the Three Gorges Reservoir. The result shows that the model is capable of finding the balanced optimized solution for the reservoir sediment regulation and maximizing the reservoir power generation.
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    • References (8)
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