邱新法,金有杰,曾燕.人口与GDP空间化技术支持下的暴雨洪涝灾害承灾体脆弱性分析.气象科学,,(): QIU Xinfa,JIN Youjie,ZENG Yan.Vulnerability analysis of flood disasters hazard-affected body under the support of spatialization technology of population and GDP.Journal of the Meteorological Sciences,,():
人口与GDP空间化技术支持下的暴雨洪涝灾害承灾体脆弱性分析
Vulnerability analysis of flood disasters hazard-affected body under the support of spatialization technology of population and GDP
投稿时间:2012-12-21  修订日期:2013-02-16
DOI:10.3969/2013jms.0030
中文关键词:  洪涝灾害  风险评估  承灾体  空间化模型
英文关键词:Flood disaster  Risk assessment  Hazard-affected body  Spatialization model
基金项目:中国清洁发展机制基金赠款项目(1213112);黔科合重大专项字[2011]6003号;江苏高校优势学科建设工程资助项目(PAPD)
作者单位E-mail
邱新法 南京信息工程大学遥感学院, 南京 210044 xfqiu135@nuist.edu.cn 
金有杰 南京信息工程大学遥感学院, 南京 210044  
曾燕 江苏省气候中心, 南京 210009  
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中文摘要:
      基于统计年鉴资料和土地利用数据,分别建立人口、GDP空间化模型,模拟浦口区人口和GDP的空间分布。并结合暴雨洪涝历史灾情数据,探索区县级行政区域暴雨洪涝灾害承灾体脆弱性风险评估技术方法,最终获得100 m×100 m格网的浦口区暴雨洪涝灾害承灾体脆弱性空间分布图。研究结果表明:(1)人口、GDP的空间化模拟结果,既与各镇街统计数据保持一致,又反映了各镇街内部的人口、GDP分布的空间变化,可以为承灾体脆弱性评估提供精细化、可靠的数据源。(2)浦口区暴雨洪涝灾害承灾体脆弱性高风险区,分布在东北部经济较为发达的城镇街道,老山山脉和沿江内陆滩涂地区脆弱性风险较低。
英文摘要:
      Based on statistical yearbook and land-use data, the spatialization models about population and GDP are established respectively to simulate spatial distribution of population and GDP in Pukou. Combined with flood disaster history data, risk assessment technology and methods of the flood disaster hazard-affected body vulnerability of administrative units at the county level are explored. Finally, the spatial distribution of flood disaster hazard-affected body vulnerability in Pukou with a resolution of 100 m×100 m is obtained. The results show that: (1) the spatialization simulation results of population and GDP are not only consistent with the statistical data of towns and streets, but reflect their inner-change of spatial distribution, which can provide reliable data for vulnerability assessment of hazard-affected body. (2) The high risk area of the flood disaster hazard-affected body vulnerability is located in the urban streets in northeastern Pukou, whose economy is more developed, on the other hand, the vulnerability risk of Laoshan mountains and inland areas along the beach is low.
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