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A study on a river health assessment method based on ecological flow

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  • Ma, Diaoyuan
  • Luo, Wenguang
  • Yang, Guolu
  • Lu, Jing
  • Fan, Yangzhen

Abstract

In order to facilitate watershed management, we developed an expansive river health assessment method based on ecological flow hydrology method in this study that estimates the ecological flow of a river by using a probability density curve combined with six levels of river flow in different states of a river ecosystem. We apply the above method to a river health assessment in the middle reaches of the Yangtze River. The results show that the ecological flow calculated by this method is more accurate than that of the traditional hydrology method and the fish spawning water demand method and can better describe the actual demand of river ecosystems to flow; thus, this method is reasonable for evaluating river health. Moreover, the river health assessment method described in this study covers the different health states of river ecosystems, including all intervals of river flow, and takes into account the influences of extreme flow events and the uneven distribution of flow during the year. It is a reasonable river health assessment method that can evaluate river health status systematically, comprehensively and accurately. Moreover, we demonstrate the feasibility of this method in watershed management. The results show that this method can provide a scientific decision-making basis for river health management in actual watershed management.

Suggested Citation

  • Ma, Diaoyuan & Luo, Wenguang & Yang, Guolu & Lu, Jing & Fan, Yangzhen, 2019. "A study on a river health assessment method based on ecological flow," Ecological Modelling, Elsevier, vol. 401(C), pages 144-154.
    • Handle: RePEc:eee:ecomod:v:401:y:2019:i:c:p:144-154
    DOI: 10.1016/j.ecolmodel.2018.11.023
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    References listed on IDEAS

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    1. A. N. Pettitt, 1979. "A Non‐Parametric Approach to the Change‐Point Problem," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(2), pages 126-135, June.
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    1. Wentong Hu & Wenquan Gu & Donghao Miao & Dongguo Shao, 2022. "Research on the Ecological Flow and Water Replenishment Thresholds for Diversion Rivers Based on the MC-LOR Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5353-5369, November.
    2. Yongfei Fu & Yuyu Liu & Shiguo Xu & Zhenghe Xu, 2022. "Assessment of a Multifunctional River Using Fuzzy Comprehensive Evaluation Model in Xiaoqing River, Eastern China," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    3. Jie Li & Lintong Huang & Kai Zhu, 2023. "Ecological Health Assessment of an Urban River: The Case Study of Zhengzhou City, China," Sustainability, MDPI, vol. 15(10), pages 1-14, May.

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