摘要
将水资源承载力系统划分为水资源、社会、经济、生态环境4个子系统,构建包含24个评价指标的水资源承载力评价指标体系,建立基于熵权的逼近理想解排序(technique for order preference by similarity to an ideal solution,TOPSIS)模型、耦合协调度模型、色关联度模型来分析2011―2020年长江经济带11省(市)水资源承载力时空变化过程、子系统间的协调发展水平以及影响水资源承载力的关键因素。结果表明:1)长江经济带11省(市)水资源承载力的表现:下降(2011―2013年)、小幅波动(2014―2017年)、大幅上升(2018―2020年);2)水资源承载力空间差异不大,均值水平呈下游高于上游、上游高于中游的特点;3)各子系统间的协调发展水平的表现:上升(2011―2013年)、明显下降(2014―2017年)、缓慢回升(2018―2020年);4)对水资源承载力影响程度高的因素:产水模数、城市人均日生活用水量、万元国内生产总值(gross domestic product,GDP)用水量、废水治理投资占GDP比重。长江经济带11省(市)水资源承载力水平受地区社会经济发展水平、水资源与生态环境现状影响较大,应因地制宜,合理利用、有效保护水资源。
Water resource is an important factor to measure the harmonious coexistence between man and nature.Studying the carrying capacity of water resources has important theoretical and practical significance for promoting the sustainable and coordinated development of social economy,ecological environment and water resources.The water resources carrying capacity system is divided into four sub-systems:water resources,society,economy and ecological environment,and an evaluation index system of water resources carrying capacity is constructed including 24 evaluation indexes.Entropy weight based TOPSIS(the technique for order preference by similarity to ideal solution)model,coupling coordination model and color correlation model are established to analyze the spatial-temporal change processes of water resources carrying capacity,the level of coordinated development among subsystems,and the key factors affecting the carrying capacity of water resources in 11 provinces(municipalities)of the Yangtze River Economic Belt from 2011 to 2020.The results show that:1)the water resources carrying capacity of 11 provinces(municipalities)in the Yangtze River Economic Belt decreased in 2011—2013,fluctuated slightly in 2014—2017,and increased significantly in 2018—2020;2)The spatial difference of water resources carrying capacity is small,and the average level of water resources carrying capacity was higher in the downstream than in the upstream,and higher in the upstream than in the midstream;3)The coupling coordination degree among subsystems increased in 2011—2013,significantly decreased in 2014—2017,and slowly increased in 2018—2020;4)The factors that have a great impact on the carrying capacity of water resources are:water production modulus,urban per capita daily domestic water consumption,water consumption per 10000 RMB GDP,and the proportion of wastewater treatment investment in GDP.The water resources carrying capacity of 11 provinces(municipalities)in the Yangtze River Economic Belt is greatly affected by the socia
作者
刘玒玒
LIU Honghong(School of Management,Xi'an University of Finance and Economics,Xi'an 710100,China)
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2023年第5期532-541,共10页
Engineering Journal of Wuhan University
基金
陕西省科技厅自然基础科学青年项目(编号:2022JQ-454)
陕西省教育厅哲学社会科学重点研究基地项目(编号:19JZ034)
陕西省社会科学基金项目(编号:2021R015)。
关键词
熵权
TOPSIS模型
耦合协调度
灰色关联度
水资源承载力
entropy weight
TOPSIS model
coupling coordination degree
grey correlation degree
water resources carrying capacity
