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Evaluating the Impacts of a Large-Scale Multi-Reservoir System on Flooding: Case of the Huai River in China

Author

Listed:
  • Xinyu Wan

    (Hohai University)

  • Lijuan Hua

    (Hohai University)

  • Shutan Yang

    (Water Resources Center, Water Resources Department of Jiangsu Province)

  • Hoshin V. Gupta

    (Universityof Arizona)

  • Ping’an Zhong

    (Hohai University)

Abstract

The extensive constructions of reservoirs change the hydrologic characteristics of the associated watersheds, which increases the complexity of watershed flood control decisions. By evaluating the impacts of the multi-reservoir system on the flood hydrograph, it becomes possible to improve the effectiveness of the flood control decisions. This study compares the non-reservoir flood hydrograph with the actual observed flood hydrograph using the Lutaizi upstream of Huai River in East China as a representative case, where 20 large-scale/large-sized reservoirs have been built. Based on the total impact of the multi-reservoir system, a novel strategy is presented to evaluate the contribution of each reservoir to the total impact. According their contributions, the “highly effective” reservoirs for watershed flood control are identified via hierarchical clustering. Moreover, the degree of impact of the reservoir operation rules on the flood hydrograph are estimated. We find the multi-reservoir system of Huai River has a significant impact on flooding at the Lutaizi section, on average reducing the flood volume and peak discharge by 13.92 × 108 m3 and 18.7% respectively. Under the current operation rules, the volume and peak discharge of flooding at the Lutaizi section are reduced by 13.69 × 108 m3 and 1429 m3/s respectively. Each reservoir has a different impact on the flood hydrograph at the Lutaizi section. In particular, the Meishan, Xianghongdian, Suyahu, Nanwan, Nianyushan and Foziling reservoirs exert a strong influence on the flood hydrograph, and are therefore important for flood control on the Huai River.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:3:d:10.1007_s11269-017-1852-x
    DOI: 10.1007/s11269-017-1852-x
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    References listed on IDEAS

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    1. 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.
    2. Matthew Deitch & Adina Merenlender & Shane Feirer, 2013. "Cumulative Effects of Small Reservoirs on Streamflow in Northern Coastal California Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(15), pages 5101-5118, December.
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    1. Yi-han Tang & Jie-feng Wu & Pei-yi Li & Li-juan Zhang & Xiao-hong Chen & Kai-rong Lin, 2019. "Quantifying Flood Frequency Modification Caused by Multi-Reservoir Regulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4451-4470, October.
    2. Yinshan Xu & Yubin Chen & Yufeng Ren & Zhengyang Tang & Xu Yang & Yu Zhang, 2023. "Attribution of Streamflow Changes Considering Spatial Contributions and Driver Interactions Based on Hydrological Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 1859-1877, March.
    3. Rongrong Li & Lihua Xiong & Xini Zha & Bin Xiong & Han Liu & Jie Chen & Ling Zeng & Wenbin Li, 2022. "Impacts of climate and reservoirs on the downstream design flood hydrograph: a case study of Yichang Station," 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. 113(3), pages 1803-1831, September.
    4. Xinyu Wan & Qingyan Yang & Peng Jiang & Ping’an Zhong, 2019. "A Hybrid Model for Real-Time Probabilistic Flood Forecasting Using Elman Neural Network with Heterogeneity of Error Distributions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 4027-4050, September.
    5. Manlin Wang & Yu Zhang & Yan Lu & Li Gao & Leizhi Wang, 2023. "Attribution Analysis of Streamflow Changes Based on Large-scale Hydrological Modeling with Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 713-730, January.
    6. Hongwu Tang & Hao Cao & Saiyu Yuan & Yang Xiao & Chenyu Jiang & Carlo Gualtieri, 2020. "A Numerical Study of Hydrodynamic Processes and Flood Mitigation in a Large River-lake System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(12), pages 3739-3760, September.

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