基于TOPSIS的城市自然灾害社会脆弱性评价研究——以宝鸡市为例  

Research on social vulnerability assessment of urban natural disaster based on TOPSIS——Take Baoji as an example

作　　者：高蕾 GAO Lei(College of Geography and Environment,Baoji University of Arts and Sciences,Baoji 721013,China;Key Laboratory of Disaster Monitoring and Mechanism Simulation of Shaanxi Province,Baoji 721013,China)

机构地区：[1]宝鸡文理学院地理与环境学院,陕西宝鸡721013 [2]陕西省灾害监测与机理模拟重点实验室,陕西宝鸡721013

出　　处：《湖北大学学报（自然科学版）》2018年第5期545-550,共6页Journal of Hubei University：Natural Science

基　　金：国家自然科学基金(41071359);陕西省重点实验室项目(11JS012)资助

摘　　要：选取21项社会经济指标,采用TOPSIS方法对宝鸡市12个区县的自然灾害社会脆弱性进行评价.结果表明:宝鸡市的人口分布、经济条件、社会保障是影响自然灾害社会脆弱性的主要因素;渭滨区、金台区社会脆弱性最低,陇县、千阳县、太白县社会脆弱性最高,麟游县、扶风县社会脆弱性较高,其他5个区县Ci值均分布在0.35 0.40之间,其自然灾害社会脆弱性比较接近.We selected 21 indicators of social and economic, and evaluated the social vulnerability ofnatural disasters in 12 districts and counties of Baoji city by TOPSIS method. The results showed that： thepopulation distribution, economic conditions and social security were the main factors affecting the socialvulnerability to natural disasters of Baoji; the social vulnerability of Weibin and Jintai was the lowest; thesocial vulnerability of Long county, Qianyang, Taibai was the highest; the social vulnerability of Linyou,Fufeng was higher; the Civalue of the other five districts and counties were distributed between 0. 35 and0. 40, it indicated that these districts and counties of social vulnerability were relatively close.

关 键 词：自然灾害 社会脆弱性 TOPSIS方法 宝鸡市 

分 类 号：X43[环境科学与工程—灾害防治]