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Ecological Flow Response Analysis to a Typical Strong Hydrological Alteration River in China

Author

Listed:
  • Rui Xia

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
    Laboratory of Aquatic Ecological Conservation and Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
    State Environmental Protection Key Laboratory of Estuarine and Coastal Research, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Hao Sun

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
    College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China)

  • Yan Chen

    (Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Qiang Wang

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Xiaofei Chen

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Qiang Hu

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Jing Wang

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

Abstract

Ecological flow is an important indicator for reflecting the stability of a watershed ecosystem. The calculation of ecological discharge under hydrological variation has become a research hot-spot. The Ganjiang River south of Poyang Lake in China was taken as an example in this study. Hydrological Alteration Diagnosis System methods were used to detect the change-points. The Distributed Time Variation Gain Model (DTVGM) was used to carry out runoff restoration. The Probability-weighted Flow Duration Curve was applied to calculate the ecological flow. The results showed that: (1) The hydrological alteration of the Waizhou Station occurred in 1991, the annual runoff increased by 10%, and the Gini coefficient (GI) increased by 0.07 after the change-point. The change in precipitation was the main driving factors. (2) The R value and NSE of the DTVGM were greater than 0.84, which represents the feasibility of the model used to restore runoff. (3) Compared to the traditional hydrological method, the proposed method can better reflect the inter-annual difference of ecological flow, flow ranges for high, normal, and low flow years are 398–3771 m 3 /s, 352–2160 m 3 /s, and 277–1657 m 3 /s, respectively. The calculation method of ecological flow in rivers considering hydrological variation can more scientifically reflect the impact of hydrological variation on ecological flow process, ecological flow under different human activities that can be calculated, such as dam control, water intake and water transfer, furthermore, it also provides a scientific basis for water resources planning and allocation under changing environment.

Suggested Citation

  • Rui Xia & Hao Sun & Yan Chen & Qiang Wang & Xiaofei Chen & Qiang Hu & Jing Wang, 2023. "Ecological Flow Response Analysis to a Typical Strong Hydrological Alteration River in China," IJERPH, MDPI, vol. 20(3), pages 1-14, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2609-:d:1053323
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    References listed on IDEAS

    as
    1. Mingyong Cai & Shengtian Yang & Hongjuan Zeng & Changsen Zhao & Shudong Wang, 2014. "A Distributed Hydrological Model Driven by Multi-Source Spatial Data and Its Application in the Ili River Basin of Central Asia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2851-2866, August.
    2. Shengzhi Huang & Jianxia Chang & Qiang Huang & Yimin Wang & Yutong Chen, 2014. "Calculation of the Instream Ecological Flow of the Wei River Based on Hydrological Variation," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, April.
    3. Ruonan Wang & Wenqi Peng & Xiaobo Liu & Cuiling Jiang & Wenqiang Wu & Xuekai Chen, 2020. "Characteristics of Runoff Variations and Attribution Analysis in the Poyang Lake Basin over the Past 55 Years," Sustainability, MDPI, vol. 12(3), pages 1-23, January.
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    Cited by:

    1. Cornel Ilinca & Cristian Gabriel Anghel, 2023. "Re-Thinking Ecological Flow in Romania: A Sustainable Approach to Water Management for a Healthier Environment," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    2. Tong Nie & Lichan Li & Xiaohui Jiang & Yuxin Lei & Chun Deng & Wenjuan Cai & Jiaying He, 2024. "Rainstorm and flooding characteristics and simulated analysis in the Loess Plateau, China," 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. 120(9), pages 8597-8618, July.

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