| 自然灾害社会脆弱性评估研究——以上海市为例 |
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| 引用本文： | 陈磊,徐伟,周忻,马玉玲,袁艺,钱新,葛怡.自然灾害社会脆弱性评估研究——以上海市为例[J].灾害学,2012(1):98-100,110. |
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| 作者姓名： | 陈磊 徐伟 周忻 马玉玲 袁艺 钱新 葛怡 |
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| 作者单位： | 南京大学环境学院污染控制与资源化研究国家重点实验室;北京师范大学地表过程与资源生态国家重点实验室;民政部-教育部减灾与应急管理研究院;民政部国家减灾中心;北京师范大学地理学与遥感科学学院 |
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| 基金项目： | 国家自然科学基金项目(40701005);国家科技支撑计划课题(2008BAK50B07);国家减灾中心项目 |
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| 摘 要： | 基于投影寻踪聚类模型(PPC),结合基于实数编码的加速遗传算法(RAGA),对上海市进行了自然灾害社会脆弱性评估的尝试。结果表明:①灾害社会脆弱性最高的为崇明县,其次为宝山区和金山区;②灾害社会脆弱性最低的是黄埔区,其次是徐汇区和静安区;③总体而言,灾害脆弱性较低的地区集中于上海城市中心区,而城市边缘区的社会脆弱性一般较高。
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| 关 键 词： | 自然灾害 社会脆弱性 投影寻踪聚类模型 实数编码加速遗传算法(RAGA) 上海市 |
Assessment of Social Vulnerability to Natural Disasters:A Case Study of Shanghai |
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| Chen Lei,Xu Wei,Zhou Xin,Ma Yulin,Yuan Yi,Qian Xin,and Ge Yi.Assessment of Social Vulnerability to Natural Disasters:A Case Study of Shanghai[J].Journal of Catastrophology,2012(1):98-100,110. |
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| Authors: | Chen Lei Xu Wei Zhou Xin Ma Yulin Yuan Yi Qian Xin and Ge Yi |
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| Institution: | 1 (1.State Key Laboratory of Pollution Control & Resource Re-use,School of the Environment,Nanjing University, Nanjing 210093,China;2.State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,Beijing 100875,China.3.Academy of Disaster Reduction and Emergency Management of Ministry of Civil Affairs and Ministry of Education,Beijing 100875,China;4.National Disaster Reduction Center of China,Ministry of Civil Affairs,Beijing 100022,China;5.School of Geography,Beijing Normal University, Beijing 100875,China) |
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| Abstract: | A approach combining with the Projection Pursuit Classification Model(PPC) and Real Coding based Acceleration Genetic Algorithm(RAGA) is used to evaluate social vulnerability.A trial application of this method is made to Shanghai,China.The results show that(1) the social vulnerability of Chongming county,Baoshan district and Jinshan district is higher than that in other regions;(2) the social vulnerability of Huangpu district is the lowest,and then is Xuhui distric and Jingan district;(3) in Shanghai,the social vulnerability of fringe area is higher than that of the center. |
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| Keywords: | natural hazards social vulnerability projection pursuit classification model(PPC) Real Coding based Acceleration Genetic Algorithm(RAGA) Shanghai |
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