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城市暴雨内涝情景模拟与灾害风险评估
引用本文:尹占娥,殷杰,许世远,温家洪. 城市暴雨内涝情景模拟与灾害风险评估[J]. Canadian Metallurgical Quarterly, 2011, 21(2). DOI: 10.1007/s11442-011-0844-7
作者姓名:尹占娥  殷杰  许世远  温家洪
基金项目:National Nature Science Foundation of China,Key Subject Developing Project by Shanghai Municipal Education Commission,Science and Technology Commission of Shang-hai Municipality,Leading Academic Discipline Project of Shanghai Normal University
摘    要:


Community-based scenario modelling and disaster risk assessment of urban rainstorm waterlogging
YIN Zhan'e,YIN Jie,XU Shiyuan,WEN Jiahong. Community-based scenario modelling and disaster risk assessment of urban rainstorm waterlogging[J]. Canadian Metallurgical Quarterly, 2011, 21(2). DOI: 10.1007/s11442-011-0844-7
Authors:YIN Zhan'e  YIN Jie  XU Shiyuan  WEN Jiahong
Affiliation:1. Geography Dept. of Shanghai Normal University, Shanghai 200234, China
2. Geography Dept. of East China Normal University, Shanghai 200062, China
Abstract:Scenado modelling and the risk assessment of natural disasters is one of the hot-spots in disaster research. However, up until now, urban natural disaster risk assessments lack common procedures and programmes. This paper selects rainstorm waterlogging as a disaster to research, which is one of the most frequently occurring hazards for most cities in China. As an example, we used a small-scale integrated methodology to assess risks relating to rainstorm waterlogging hazards in the Jing'an District of Shanghai. Based on the basic concept of disaster risk, this paper applies scenario modelling to express the risk of small-scale urban rainstorm waterlogging disasters in different return periods. Through this analysis of vulnerability and exposure, we simulate different disaster scenarios and propose a comprehensive analysis method and procedure for small-scale urban storm waterlogging disaster risk assessments. A grid-based Geographical Information System (GIS) approach,including an urban terrain model, an urban rainfall model and an urban drainage model, was applied to simulate inundation area and depth. Stage-damage curves for residential buildings and contents were then generated by the loss data of waterlogging from field surveys, which were further applied to analyse vulnerability, exposure and loss assessment. Finally, the ex-ceedance probability curve for disaster damage was constructed using the damage of each simulated event and the respective exceedance probabilities. A framework was also devel-oped for coupling the waterlogging risk with the risk planning and management through the exceedance probability curve and annual average waterlogging loss. This is a new explora-tion for small-scale urban natural disaster scenario simulation and risk assessment.
Keywords:scenario modelling  small-scaie  rainstorm wnterlogging  disaster risk assessment  Shanghai
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