raybet体育在线 院报 ›› 2025, Vol. 42 ›› Issue (7): 32-41.DOI: 10.11988/ckyyb.20240452

• 水资源 • 上一篇    下一篇

长江经济带水资源承载力评价及其耦合协调性分析

熊鹰1,2(), 蒋一心1, 陈斯玄1   

  1. 1 长沙理工大学 水利与环境工程学院,长沙 410114
    2 洞庭湖水环境治理与生态修复湖南省重点实验室,长沙 410114
  • 收稿日期:2024-04-30 修回日期:2024-08-08 出版日期:2025-07-01 发布日期:2025-07-01
  • 作者简介:

    熊鹰(1977-),男,湖南汉寿人,教授,博士,主要从事资源环境与可持续发展研究。E-mail:

  • 基金资助:
    国家自然科学基金项目(U21A2010); 湖南省社会科学基金重点项目(23ZDB016); 自然资源部南方丘陵区自然资源监测监管重点实验室开放基金课题(NRMSSHR2023Y17)

Assessment of Water Resources Carrying Capacity and Analysis of Its Coupling Coordination in the Yangtze River Economic Belt

XIONG Ying1,2(), JIANG Yi-xin1, CHEN Si-xuan1   

  1. 1 School of Hydraulic and Environmental Engineering,Changsha University of Science and Technology, Changsha 410114, China
    2 Key Laboratory of Dongting Lake Aquatic Eco-Environmental Control and Restoration of Hunan Province, Changsha 410114, China
  • Received:2024-04-30 Revised:2024-08-08 Published:2025-07-01 Online:2025-07-01

摘要:

水资源承载力是评估区域可持续发展能力的重要指标之一,探究区域水资源承载力对实现区域可持续发展具有重要意义。以长江经济带为研究区域,构建基于水资源-社会-经济-生态环境4个子系统的水资源承载力评价体系,利用TOPSIS法、标准差椭圆对长江经济带2012—2021年水资源承载力的时空演变进行分析。同时,结合耦合协调度模型研究系统间的协调发展水平并应用灰色预测模型对未来5 a的水资源承载力进行了预测。结果表明:长江经济带的水资源承载力在研究年间呈波动上升状态,由警戒转变为良好状态,水资源承载力中心总体向承载力较低的西南方向移动;系统间的耦合度除2012年外均达高水平耦合阶段,且耦合协调度评价值由濒临失调逐渐转变为良好协调,系统耦合协调度不断上升;第三产业占比、城镇化率、人均日生活用水量是与水资源承载力关联性最强的3个因子;未来5 a水资源承载力发展呈现向好态势。研究结果可为长江经济带合理规划利用水资源、促进区域经济社会协调发展提供参考。

关键词: 水资源承载力, 熵权-CRITIC-TOPSIS模型, 耦合协调度, 关联度, GM(1,1)模型, 长江经济带

Abstract:

[Objective] This study focuses on the Yangtze River Economic Belt and constructs a water resources carrying capacity evaluation system that covers four subsystems: water resources, society, economy and ecological environment. The aim is to reveal the current status and future development trend of water resources carrying capacity in the Yangtze River Economic Belt, and to provide a scientific basis and decision-making reference for the rational planning and utilization of water resources, the adjustment and optimization of industrial structure, and ecological environment protection within the region. [Methods] The spatiotemporal evolution characteristics of water resources carrying capacity in the Yangtze River Economic Belt from 2012 to 2021 were analyzed using the TOPSIS method and the standard deviation ellipse method. Combined with the coupling coordination degree model, the coordinated development level among the subsystems within the water resources carrying capacity system was further investigated. To better understand the future development trend of water resources carrying capacity, the grey prediction model was applied to predict its trend over the next five years. [Results] The study revealed the dynamic changes in water resources carrying capacity in the Yangtze River Economic Belt during the study period, along with its spatial distribution characteristics and evolution trends. Between 2012 and 2021, the water resources carrying capacity showed an overall fluctuating upward trend, gradually improving from an alert state to a good state, indicating a significant enhancement in the region’s water resources carrying capacity. Spatially, the center of water resources carrying capacity shifted southwestward toward areas with relatively lower capacity, which may be related to regional economic development patterns, industrial restructuring, and differences in water use efficiency. Regarding system coupling and coordination, except for 2012, the coupling degree between subsystems reached a high coupling stage, and the coupling coordination evaluation gradually shifted from near disorder to good coordination, demonstrating continuously improving coordinated development and enhanced synergy among the subsystems. Analysis of influencing factors identified the proportion of tertiary industry, urbanization rate, and per capita daily domestic water consumption as the three factors most strongly correlated with water resources carrying capacity. Changes in these factors significantly affected its increase or decrease. The water resources carrying capacity was projected to show a positive development trend over the next five years. [Conclusions] It is recommended that the upstream areas develop water-saving irrigation, control fertilizer usage, and enhance urbanization levels; the midstream areas develop reclaimed water use, strengthen sewage treatment, and accelerate industrial transformation; and the downstream areas control population growth, promote water conservation and environmental protection, restore ecosystems, and increase forest coverage. The research findings provide a valuable scientific basis for the efficient management and utilization of water resources in the Yangtze River Economic Belt,as well as for promoting the coordinated development of the regional economy and society,and for achieving sustainable development goals in the region.

Key words: water resources carrying capacity, entropy weights-CRITIC-TOPSIS Model, coupling coordination, degree of relevance, GM(1,1) model, Yangtze River Economic Belt

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