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Similarity-Based Optimal Operation of Water and Sediment in a Sediment-Laden Reservoir

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  • Xin Wan
  • Guang Wang
  • Peng Yi
  • Wei Bao

Abstract

Reservoir sedimentation is a severe problem because it leads to the loss of reservoir storage capacity. Therefore, the sustainable management of water and sediment constitutes a critical measure in reservoir operation. In this research, a model of similarity-based operation method of water and sediment which can improve the efficiency of reservoir operation strategies is presented. Two parts comprise this method: a similarity-based forecasting model for the sediment process at the dam, and a new operation mode of water and sediment based on the sediment process at the dam. The similarity-based forecasting model is built on the total flow model of water and sediment, which requires less data. Using the similarity among flood cases, the parameters of the model are calibrated by group, and are dynamically selected, an approach which enforces the suitability of parameters and improves the forecasting accuracy. In terms of the sediment process at the dam, the proposed optimal operation model of water and sediment improves the sediment-venting efficiency and saves the water resource. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Xin Wan & Guang Wang & Peng Yi & Wei Bao, 2010. "Similarity-Based Optimal Operation of Water and Sediment in a Sediment-Laden Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4381-4402, December.
    • Handle: RePEc:spr:waterr:v:24:y:2010:i:15:p:4381-4402
    DOI: 10.1007/s11269-010-9664-2
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    References listed on IDEAS

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    1. N. Adam & S. Erpicum & P. Archambeau & M. Pirotton & B. Dewals, 2015. "Stochastic Modelling of Reservoir Sedimentation in a Semi-Arid Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 785-800, February.
    2. Muhammad Usman Rashid & Abid Latif & Muhammad Azmat, 2018. "Optimizing Irrigation Deficit of Multipurpose Cascade Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1675-1687, March.
    3. S. Faghihirad & B. Lin & R. A. Falconer, 2017. "3D Layer-Integrated Modelling of Morphodynamic Processes Near River Regulated Structures," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 443-460, January.
    4. Chapman, Paul & Quang, Cuong, 2021. "Major Project Risk Management: Reconciling Complexity during Delivery with the Inside View in Planning," SocArXiv j9sw8, Center for Open Science.
    5. Muhammad Rashid & Abdul Shakir & Noor Khan & Abid Latif & Muhammad Qureshi, 2015. "Optimization of Multiple Reservoirs Operation with Consideration to Sediment Evacuation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2429-2450, May.
    6. Xinyu Wan & Lijuan Hua & Shutan Yang & Hoshin V. Gupta & Ping’an Zhong, 2018. "Evaluating the Impacts of a Large-Scale Multi-Reservoir System on Flooding: Case of the Huai River in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 1013-1033, February.

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