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Analysis of spatiotemporal changes of the human-water relationship using water resources constraint intensity index in Northwest China

文献类型：期刊论文

作者Bao, Chao1,2,3; Zou, Jianjun1,2,3
刊名ECOLOGICAL INDICATORS
出版日期2018
卷号84页码:119-129
关键词Water resources constraint intensity index Water scarcity Human-water relationship Entropy technology Multi objective fuzzy membership function Northwest China
ISSN号1470-160X
DOI10.1016/j.ecolind.2017.08.056
通讯作者Bao, Chao(baoc@igsnrr.ac.cn)
英文摘要Water resources constraint intensity (WRCI) refers to the conflict degree between water scarcity and human activities. We provide a comprehensive dynamic assessment index system for WRCI, which is composed of three primary indicators (natural endowment, exploitation and utilization degree, exploitation and utilization efficiency of water resources) and nine secondary indicators. After ascertaining the thresholds and grading standards for each specific indicator and their integrated indexes according to the experience of developed countries and regions, we employ an Analytic Hierarchy Process (AHP) model reformed by entropy technology to calculate their weights, and establish a multi objective fuzzy membership function to calculate the normalized values. Subsequently, we use the statistical data of 51 prefecture level regions in Northwest China during 2000-2014 to analyze the spatiotemporal changes of WRCI and its primary and secondary indicators. The results show that WRCI in the whole region of Northwest China belonged to the less strong or weak constraint type during the period. However, Northwest China was confronted with great disparity in human-water relationship according to the temporal and spatial changes of WRCI and its primary and secondary indicators. About 1/3 of prefecture level regions belonged to the strong and very strong constraint type. About 1/3 belonged to the less strong constraint type. Only about 1/3 belonged to the weak and very weak constraint type. The framework provides a relatively absolute evaluation of the conflict degree between the human-water systems. It might help to scientifically understand the spatiotemporal features of the relationship between water scarcity and human activities for Northwest China, and also has the potential for application in other areas and scales for monitoring and comparison purposes in space and over time.
WOS关键词ANALYTIC HIERARCHY PROCESS ; SUSTAINABILITY ASSESSMENT ; USE EFFICIENCY ; POVERTY INDEX ; HEXI CORRIDOR ; STRESS INDEX ; ARID AREA ; NW CHINA ; MANAGEMENT ; SCARCITY
资助项目National Natural Science Foundation of China[41571156] ; Major Projects of the National Natural Science Foundation of China[41590844] ; Service Project on the Cultivation and Construction for the Characteristic Research Institute of the Chinese Academy of Sciences[TSYJS02]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000425828200012
出版者ELSEVIER SCIENCE BV
资助机构National Natural Science Foundation of China ; Major Projects of the National Natural Science Foundation of China ; Service Project on the Cultivation and Construction for the Characteristic Research Institute of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/57128]  
专题中国科学院地理科学与资源研究所
通讯作者Bao, Chao
作者单位1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Bao, Chao,Zou, Jianjun. Analysis of spatiotemporal changes of the human-water relationship using water resources constraint intensity index in Northwest China[J]. ECOLOGICAL INDICATORS,2018,84:119-129.
APA Bao, Chao,&Zou, Jianjun.(2018).Analysis of spatiotemporal changes of the human-water relationship using water resources constraint intensity index in Northwest China.ECOLOGICAL INDICATORS,84,119-129.
MLA Bao, Chao,et al."Analysis of spatiotemporal changes of the human-water relationship using water resources constraint intensity index in Northwest China".ECOLOGICAL INDICATORS 84(2018):119-129.

入库方式： OAI收割

来源：地理科学与资源研究所

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