灾害学2016，Vol.31Issue(4)：205-209,223,6.DOI:10.3969/j.issn.1000-811X.2016.04.037
基于GIS的历史文化街区火灾风险评估--以福州市三坊七巷为例
Assessing Fire Risk in Historical and Cultural Blocks Based on GIS:A Case Study in the Fuzhou Three Alleys and Seven Lanes
摘要
Abstract
Historical and cultural block gathers highly intensive population,but faces more fire hazards,with higher fire risk.Taking Fuzhou TLASA(Three Lanes and Seven Alley)historical and cultural block as an example, the paper establishes a fire risk assessment index system,using spatial data from high resolution remote sensing im-age interpreting and attribute data from field surveys,basing on analysis of fire risk structure;obtains parameter values and weighted values of indicators with analytic hierarchy process and fuzzy mathematics method,and further assesses the fire risk of Fuzhou TLASA historical and cultural block with risk assessment model,vulnerability as-sessment model and integrated risk assessment model supported by GIS space technology,by taking single building as a unit.The results shows that:Fuzhou TLASA historical and cultural block is relatively higher in fire risk rating, particularly residential class block facing the most serious risk,but cultural former residence class and commercial services buildings are relatively lower in risk rating.Cultural former residence class vulnerability risk ranks the first place,from a whole view,fire risk rating varies:cultural former residence class ranks the first place,followed by single buildings along Nanhou Street;the rest fire risk is smaller.The results can be used as the reference basis for determining fire prevention measures,emergency drill simulation plan,population evacuation plan and other risk management decisions by resort management department and fire department.关键词
单体建筑/GIS/火灾/风险评估/历史文化街区/指标体系/福建福州Key words
fire/risk assessment/Fuzhou city/single building/GIS/historical and cultural blocks/index system分类
资源环境引用本文复制引用
吴在栋,胡玉娟,张明锋,林广发,李乔玄,黄远鑫..基于GIS的历史文化街区火灾风险评估--以福州市三坊七巷为例[J].灾害学,2016,31(4):205-209,223,6.基金项目
福建省公益类科研院所专项项目（2015R1034－1）；福建省测绘地理信息局科技资助项目 （）
