城市暴雨内涝情景模拟与灾害风险评估(英文)

编号 zgly0001585436

文献类型 期刊论文

文献题名 城市暴雨内涝情景模拟与灾害风险评估(英文)

作者 尹占娥  殷杰  许世远  温家洪 

作者单位 GeographyDept.ofShanghaiNormalUniversity  GeographyDept.ofEastChinaNormalUniversity 

母体文献 Journal of Geographical Sciences 

年卷期 2011年02期

年份 2011 

分类号 P426.616 

关键词 scenariomodelling  small-scale  rainstormwaterlogging  disasterriskassessment  Shanghai 

文摘内容 Scenario 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.