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基于节水视角的中国水资源压力时空演变及影响因素分析
引用本文:郑德凤,王佳媛,李钰,姜俊超,吕乐婷. 基于节水视角的中国水资源压力时空演变及影响因素分析[J]. 地理科学, 2021, 41(1): 157-166. DOI: 10.13249/j.cnki.sgs.2021.01.017
作者姓名:郑德凤  王佳媛  李钰  姜俊超  吕乐婷
作者单位:辽宁师范大学地理科学学院,辽宁 大连 116029
基金项目:辽宁省社科联2021年度辽宁省经济社会发展研究课题;辽宁省教育厅自然科学研究基础项目
摘    要:基于水资源节约视角,采用区域水资源规划消耗量占该地区水资源可利用量的比重来测算水资源压力指数,运用趋势分析、探索性数据分析(ESDA)方法对2005-2017年中国31个省市水资源压力指数空间格局演化特征与空间相关性进行分析,并选取8个相关变量,采用地理探测器探究影响水资源压力指数空间分异的因素,结论如下:①研究期内,...

关 键 词:水资源压力指数  水足迹  探索性空间数据分析  地理探测器
收稿时间:2019-11-04
修稿时间:2020-06-02

Spatial-temporal Variation of Water Resources Stress and Its Influencing Factors Based on Water-saving in China
Zheng Defeng,Wang Jiayuan,Li Yu,Jiang Junchao,Lyu Leting. Spatial-temporal Variation of Water Resources Stress and Its Influencing Factors Based on Water-saving in China[J]. Scientia Geographica Sinica, 2021, 41(1): 157-166. DOI: 10.13249/j.cnki.sgs.2021.01.017
Authors:Zheng Defeng  Wang Jiayuan  Li Yu  Jiang Junchao  Lyu Leting
Affiliation:School of Geography, Liaoning Normal University, Dalian 116029, Liaoning, China
Abstract:Based on the perspective of water-saving,water stress was defined as the ratio of the planned consumption of water resources to available water resources.This article estimated the water resources stress index of 31 provinces from 2005 to 2017,the ESDA(Exploratory Spatial Data Analysis)model was applied to study the spatial changing characteristic and correlation pattern of water resources stress index,the results showed that:1)During the study period,the water resources stress index had a rising tendency in general,in the Bohai bay area,water resources stress index was high.Bohai Rim,the lower reaches of the Yangtze River and the Yellow River had great water-saving potential;water resources stress was unevenly distributed in space.The difference of values from west to east were more than that of values from south to north.2)The water resource stress index had obviously spatial agglomeration,and the agglomeration phenomenon showed a trend of strengthening.The spatial distribution of water resource stress index in high agglomeration areas and low agglomeration areas were relatively stable.3)From 2005 to 2017,the main factors influencing the spatial distribution of water resource stress index across the country were water consumption per 10000 GDP and water consumption of ten thousand yuan industrial added value.The spatial differentiation in eastern China was mainly determined by the population,domestic water consumption,livestock quantity and water consumption of ten thousand yuan industrial added value.The less developed areas in the central and western regions were mainly determined by the water consumption per 10000 GDP and COD emissions.
Keywords:water resources stress index  water footprint  exploratory spatial data analysis model  geographical detector
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