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干旱区地理 ›› 2025, Vol. 48 ›› Issue (11): 1939-1950.doi: 10.12118/j.issn.1000-6060.2024.753 cstr: 32274.14.ALG2024753

• 水文与水资源 • 上一篇    下一篇

2003—2022年黄河流域甘肃段水生态安全协同驱动机制研究

戴文渊1,2(), 张清华1, 史权1, 张志超1, 张瑞萍1, 郑志祥2, 张芮3   

  1. 1.甘肃政法大学环境法学院,甘肃 兰州 730070
    2.甘肃省证据科学技术研究与应用重点实验室,甘肃 兰州 730070
    3.甘肃农业大学水利水电工程学院,甘肃 兰州 730070
  • 收稿日期:2024-12-10 修回日期:2025-01-15 出版日期:2025-11-25 发布日期:2025-11-26
  • 作者简介:戴文渊(1989-),男,博士,副教授,主要从事生态安全评价、环境法律与政策研究. E-mail: dwy7350@gsupl.edu.cn
  • 基金资助:
    甘肃省科技重大专项(23ZDFA009);甘肃省高校教师创新基金项目(2025A-130);甘肃省科技厅软科学项目(23JRZA459);甘肃省社科规划项目(2022YB088)

Synergistic driving mechanisms of water ecological security in the Gansu section of the Yellow River Basin from 2003 to 2022

DAI Wenyuan1,2(), ZHANG Qinghua1, SHI Quan1, ZHANG Zhichao1, ZHANG Ruiping1, ZHENG Zhixiang2, ZHANG Rui3   

  1. 1. Environmental Law College, Gansu University of Political Science and Law, Lanzhou 730070, Gansu, China
    2. Key Laboratory of Evidence Science Techniques Research and Application, Gansu Province, Lanzhou 730070, Gansu, China
    3. College of Water Conservancy and Hydropower Engineering, Gansu Agricultural University, Lanzhou 730070, Gansu, China
  • Received:2024-12-10 Revised:2025-01-15 Published:2025-11-25 Online:2025-11-26

摘要: 水生态安全事关流域高质量发展和长治久安,探明流域水生态安全协同驱动机制是实现高质量发展的必然要求。构建基于“经济-社会-资源-环境-生态”复合生态系统模型的水生态安全评价指标体系,利用熵权-模糊综合评价法分析2003—2022年黄河流域甘肃段的水生态安全驱动因素,评估水生态安全状况,并基于耦合度和耦合协调度评估水生态安全协同驱动效应。结果表明:(1)农田灌溉用水量占比、雨污回用量、入境水量、林牧渔用水量占比、大型水库年末蓄水总量、径污比的累计贡献率为47.8%,是黄河流域甘肃段水生态安全的最主要影响因子。(2)2003—2022年黄河流域甘肃段水生态安全综合评价指数年均值为0.34,整体状况一般。龙羊峡-兰州的水生态安全状况相对最好,其次是龙羊峡以上,再次是龙门-三门峡,兰州-河口镇相对最差,因此兰州-河口镇是调控的重点区域;生态子系统是重点调控子系统,流域生态本底情况整体较差。(3)2003—2022年黄河流域甘肃段的耦合度年均值为0.986,各流段间相互作用强烈,耦合协调度年均值为0.581,处于基本协调状态。(4)2003—2022年龙羊峡以上子系统间相互作用程度一般,其他流段子系统相互作用程度强烈,并且各流段子系统均处于轻度失调状态。基于研究结果,提出了黄河流域甘肃段水生态安全协同发展建议,为黄河流域高质量发展提供了科学参考。

关键词: 复合生态系统, 熵权-模糊综合评价法, 水生态安全, 黄河流域甘肃段, 协同驱动

Abstract:

Water ecological security is essential for ensuring high-quality development and long-term stability within river basins. Clarifying the synergistic driving mechanisms of water ecological security is therefore critical for promoting sustainable development. This study constructs an evaluation index system for water ecological security based on a composite ecosystem model integrating economy, society, resources, environment, and ecology. Using the entropy weight-fuzzy comprehensive evaluation method, the water ecological security of the Gansu section of the Yellow River Basin, China from 2003 to 2022 was assessed. Furthermore, the synergistic driving effects were analyzed using coupling degree and coupling coordination degree models, and the primary influencing factors were identified through geodetector analysis. The main findings are as follows: (1) Indicators including the proportion of agricultural irrigation water use, reclaimed water reuse volume, inflow volume, proportion of water use for forestry, animal husbandry, and fishery, year-end storage capacity of large reservoirs, and runoff-to-pollution ratio accounted for 47.8% of the cumulative contribution rate, making them the dominant factors influencing water ecological security in the study area. (2) From 2003 to 2022, the average comprehensive evaluation index of water ecological security in the Gansu section was 0.34, indicating an overall moderate level. Spatial disparities were evident, with the Longyangxia-Lanzhou section performing relatively well, the upstream Longyangxia section moderately, the Longmen-Sanmenxia section suboptimally, and the Lanzhou-Hekou Town section least favorably. The Lanzhou-Hekou Town section was identified as the key area requiring regulation, with the ecological subsystem being the primary limiting factor, reflecting the relatively weak ecological foundation of the basin. (3) From 2003 to 2022, the average coupling degree of water ecological security across the Gansu section was 0.986, suggesting strong mutual interactions among subsystems. The average coupling coordination degree was 0.581, indicating a basically coordinated state. (4) From 2003 to 2022, the degree of subsystem interaction in the upstream Longyangxia section was moderate, whereas other sections exhibited strong interactions. Nonetheless, all subsystems across the study area remained in a state of mild disharmony. These findings provide scientific evidence and practical guidance for advancing coordinated development and enhancing water ecological security in the Gansu section of the Yellow River Basin.

Key words: complex ecosystem, entropy weight-fuzzy comprehensive evaluation method, water ecological security, Gansu section of the Yellow River Basin, collaborative driving