Scholarlink

<p>To comprehensively evaluate the ecosystem health of eight major tributaries in the lower Jinsha River, an evaluation framework was established, incorporating five sub-criteria—morphological structural integrity, hydrological integrity, chemical integrity, biological integrity, and regional service sustainability—encompassing 16 indicators. A multilevel fuzzy comprehensive evaluation, integrating the Analytic Hierarchy Process (AHP), the entropy weight method, and the maximum membership principle, was employed in the Yibin section of the lower Jinsha River. This approach accommodates the inherent fuzziness and uncertainty in indicator classification, thereby avoiding biases introduced by rigid classification thresholds. The basin’s overall health was classified as healthy, with a mean River Health Index of 80.73 (SD = 2.91). However, significant spatiotemporal heterogeneity was observed: morphological structural integrity scored relatively low (mean = 69.98, SD = 9.27), whereas chemical integrity was notably high (mean = 91.50, SD = 5.32). Uncertainty analysis supported the robustness of the overall assessment (95% CI: 78.28–83.18), though considerable variability was detected among certain sub-criteria, reflecting spatial disparities in anthropogenic pressures and biodiversity. Further analysis identified impaired river connectivity, agricultural non-point source pollution, and invasive species as the principal drivers of ecosystem health. In response, the following management strategies are proposed: implementation of sewage diversion and interception projects to mitigate point and non-point source pollution, development of a dynamic water-quality monitoring and early-warning system, and application of bioremediation technologies to enhance channel self-purification capacity and ecological functioning.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Health assessment of river ecosystem in the lower Jinsha River Basin using an improved comprehensive fuzzy evaluation method

  • 期刊论文

  • 发表日期：

    2025年11月12日

查看全文
  • Keqin You,
  • Enlong Liu,
  • Daizhong Cheng

摘要

To comprehensively evaluate the ecosystem health of eight major tributaries in the lower Jinsha River, an evaluation framework was established, incorporating five sub-criteria—morphological structural integrity, hydrological integrity, chemical integrity, biological integrity, and regional service sustainability—encompassing 16 indicators. A multilevel fuzzy comprehensive evaluation, integrating the Analytic Hierarchy Process (AHP), the entropy weight method, and the maximum membership principle, was employed in the Yibin section of the lower Jinsha River. This approach accommodates the inherent fuzziness and uncertainty in indicator classification, thereby avoiding biases introduced by rigid classification thresholds. The basin’s overall health was classified as healthy, with a mean River Health Index of 80.73 (SD = 2.91). However, significant spatiotemporal heterogeneity was observed: morphological structural integrity scored relatively low (mean = 69.98, SD = 9.27), whereas chemical integrity was notably high (mean = 91.50, SD = 5.32). Uncertainty analysis supported the robustness of the overall assessment (95% CI: 78.28–83.18), though considerable variability was detected among certain sub-criteria, reflecting spatial disparities in anthropogenic pressures and biodiversity. Further analysis identified impaired river connectivity, agricultural non-point source pollution, and invasive species as the principal drivers of ecosystem health. In response, the following management strategies are proposed: implementation of sewage diversion and interception projects to mitigate point and non-point source pollution, development of a dynamic water-quality monitoring and early-warning system, and application of bioremediation technologies to enhance channel self-purification capacity and ecological functioning.