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基于熵权TOPSIS法的大连市水贫困评价及障碍因子分析
引用本文:孙才志,吴永杰,刘文新. 基于熵权TOPSIS法的大连市水贫困评价及障碍因子分析[J]. 水资源保护, 2017, 33(4): 1-8
作者姓名:孙才志  吴永杰  刘文新
作者单位:;1.辽宁师范大学城市与环境学院;2.辽宁师范大学海洋经济与可持续发展研究中心
基金项目:教育部新世纪优秀人才项目(NCET-13-0844)
摘    要:以水贫困理论为基础,从资源、设施、能力、使用和环境5个方面构建了大连市水贫困评价指标体系,采用熵权TOPSIS法对大连市2006—2015年的水贫困状况进行综合评估,并通过障碍度模型剖析阻碍水贫困问题解决的障碍因子。结果表明:研究期内大连市水贫困状况逐步好转,综合评价值从0.249上升到0.314;水贫困最严重的地区是金州区、旅顺口区和长海县;影响全市水贫困的普遍性障碍指标依次为公共厕所量、自来水受益村数、建成区绿地覆盖率、地表水供给量、地下水供给量和年末从业人员比例。障碍因子的诊断揭示水贫困治理的短板因素,有利于促进大连市水资源的可持续发展。

关 键 词:水贫困评价  熵权TOPSIS法  障碍度  障碍因子  大连市
收稿时间:2017-04-07

Application of TOPSIS method based on entropy weight to water poverty evaluation and obstacle indicator diagnoses for Dalian City
SUN Caizhi,WU Yongjie and LIU Wenxin. Application of TOPSIS method based on entropy weight to water poverty evaluation and obstacle indicator diagnoses for Dalian City[J]. Water Resources Protection, 2017, 33(4): 1-8
Authors:SUN Caizhi  WU Yongjie  LIU Wenxin
Affiliation:College of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, China; Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, China,College of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, China and Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, China
Abstract:Based on the water poverty theory, the water poverty assessment indicator system for Dalian City was developed in respect to five components(resources, facilities, capacity, utilization, and environment). The improved TOPSIS method based on entropy weight was used to evaluate the water poverty status in Dalian City from 2006 to 2015, and the obstacle model was used to analyze the obstacle indicators. The results indicated that, the water poverty situation in Dalian City was improving in the study period, and the comprehensive evaluation value increased from 0. 249 to 0. 314; the Jinzhou District, Lyushunkou District, and Changhai County had the most serious water poverty; the general obstacle indicators that affected the water poverty in Dalian City included the number of sanitary toilets, the number of villages supplied with tap water, the proportion of vegetation coverage area, surface water availability, groundwater availability, and the percentage of employment at the end of a year. Through diagnoses of the obstacle indicators, the existing problems of water poverty control were found out, which could help to promote the sustainable development of water resources in Dalian City.
Keywords:water poverty assessment   entropy-TOPSIS   obstacle degree   obstacle indicators   Dalian City
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