长江流域资源与环境 >> 2025, Vol. 34 >> Issue (10): 2222-.doi: 10.11870/cjlyzyyhj202510007

• 自然资源 • 上一篇    下一篇

基于Geodetector和DEA的沂沭泗流域水土资源承载力耦合效应研究

姜楠1,杨颖3,戴雨婷3,宁洋1,渠俊峰1,2,3,4*   

  1. (1. 中国矿业大学公共管理学院,江苏 徐州 221000; 2. 中国矿业大学碳中和研究院,江苏 徐州 221000; 3. 中国矿业大学环境与测绘学院,江苏 徐州 221000; 4 . 徐州市生态文明建设研究院,江苏 徐州 221000)
  • 出版日期:2025-10-20 发布日期:2025-10-23

Coupling Effect of Water and Soil Resources Carrying Capacity in the YiShuSi River Basin Using Geodetector and DEA

JIANG Nan1, YANG Ying3, DAI Yu-ting3, NING Yang1, QU Jun-feng1,2,3,4   

  1. (1. School of Public Administration, China University of Mining and Technology, Xuzhou 221000, China; 2. Carbon Neutral Research Institute, China University of Mining and Technology, Xuzhou 221000, China; 3. School of Environment and Surveying and Mapping, China University of Mining and Technology, Xuzhou 221000, China; 4. Xuzhou Institute of Ecological Civilization Construction, Xuzhou 221000, China)
  • Online:2025-10-20 Published:2025-10-23

摘要: 水土资源承载力的时空演变与耦合效应是区域可持续发展的重要研究内容。以沂沭泗流域为研究对象,运用DPSIR框架构建水土资源承载力评价指标体系,运用Super-SBM-DEA、耦合协调度与地理探测器等模型,探索2013~2022年流域水土资源承载力、协调利用效率及耦合协调度的时空演变特征与主要影响因素,以期为该区域的可持续发展提供数据支撑。研究表明:(1)2013~2022年期间,沂沭泗流域水土资源承载力的变化主要受响应层(0.271 4)和驱动力层(0.268 6)影响,压力层(0.083 4)的影响最小;(2)流域8个主要地级市的水土资源协调利用效率态势良好,平均效率值大于1,但徐州市、枣庄市、济宁市和日照市可能受不良气候的影响,个别年份的效率值较低;(3)流域水土资源耦合协调度呈上升趋势,且各地级市之间的差异逐渐减小。临沂市的耦合协调度最高,整体呈现“东高西低、北高南低”的空间分布特征,2014~2018年间,南北方向呈“U”型曲线变化;(4)人均GDP(48.58%)、居民生活用水(94.96%)与人均粮食产量(86.54%)是耦合协调度的核心影响因子,且因子两两间交互作用对水土资源耦合协调度演变的影响大于单一因子。基于研究结论,从优化流域水土资源配置、推动产业结构调整、加强区域协同合作和加强生态环境修复等方面提出政策建议。

Abstract: Research on the spatiotemporal evolution and coupling effects of soil and water resource carrying capacities is crucial for regional sustainable development. Taking the YiShuSi river basin as the object, this study used the DPSIR framework to construct an evaluation index system of water and soil resources carrying capacity. The Super-SBM-DEA, coupling coordination, and geodetector model were employed to explore the spatiotemporal evolution characteristics and the major influencing factors of water and soil resources carrying capacity, coordinated utilization efficiency, and coupling coordination from 2013 to 2022. This study aimed to provide data support for the sustainable development of the region. This study showed that: (1) The change of water and soil resources carrying capacity was mainly affected by the response layer (0.271 4) and the driving force layer (0.268 6). The pressure layer (0.083 4) had the least influence. (2) The water and soil resources coordinated utilization efficiency in the eight prefecture-level cities was in a good state, with an average efficiency value of greater than 1. However, unfavorable weather conditions had an impact on Xuzhou, Zaozhuang, Jining, and Rizhao, leading to lower efficiency ratings in some of the years. (3) The water and soil resources coupling coordination was rising, while the disparities across prefecture-level cities were progressively narrowing. With a general spatial distribution that was "high in the east and low in the west, high in the north and low in the south," Linyi had the strongest coupling coordination among them. The north-south direction had a "U"-shaped curve change between 2014 and 2018. (4) The main factors affecting the coupling coordination were per capita GDP (48.58%), residential water consumption (94.96%), and per capita grain output (86.54%). The interaction between each factor had a greater influence on the evolution of the coupling coordination than a single factor. Based on the above outcomes, policy recommendations were put forth to optimize the allocation of these resources, encourage industrial restructuring, improve ecological environment restoration, and strengthen regional coordination and cooperation.

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