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厦门岛内涝灾害风险评价制图

  

  1. 1. 南京信息工程大学遥感与测绘工程学院，江苏 南京 210044； 
    2. 气象灾害省部共建教育部重点实验室(南京信息工程大学)，江苏 南京 210044； 
    3. 南京信息工程大学地理科学学院，江苏 南京 210044
  • 出版日期:2019-04-30 发布日期:2019-05-10
  • 基金资助:
    江苏省自然科学基金项目(BK20151458)；江苏省博士后科研基金项目(1101024B)；中国气象局北京城市气象研究城市气象科学研究基金 项目(IUMKY&UMRF201103)；江苏省研究生科创新计划项目(KYCX18-1034)

Risk Assessment and Mapping of Waterlogging Disasters in Xiamen Island

  1. 1. School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing Jiangsu 210044, China;  
    2. Key Laboratoty of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science & Technology, Nanjing Jiangsu 210044, China; 
    3. School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing Jiangsu 210044, China
  • Online:2019-04-30 Published:2019-05-10

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摘要：

城市内涝灾害风险评价图件是城市内涝灾害防灾减灾基础技术资料。利用城市管 网等基础地理数据，经过汇水区划分和管网概化以及参数率定建立厦门岛内涝模型，模拟出不 同重现期降雨量下厦门岛地表积水深度并作为内涝灾害风险评价中的危险性评价因子，以河网 影响度、敏感点密度、植被覆盖度作为孕灾环境的敏感性因子，人口密度、人均 GDP 作为承灾 体的易损性评价因子，建立厦门岛的内涝灾害风险评估模型，计算得到不同重现期下厦门岛内 涝灾害风险等级评价图。结果表明，随着重现期的增加高风险指数的区域逐渐增加，主要呈现 由沿海向岛内扩展的趋势，部分区域由于下垫面的构成如山体水系等影响表现出稳定的低风险 特征。

关键词: 城市积涝, SWMM, 重现期, 风险评价

Abstract: The risk assessment map for urban waterlogging is the basic technical data for disaster prevention and mitigation in urban areas. Using basic geographic data as urban pipe networks, after watershed division and pipe network generalization and parameter rate, Xiamen waterlogging model was established. The depth of surface gathered water in Xiamen Island under the rainfall of different return period was also simulated and was viewed as hazard assessment factor in risk assessment of waterlogging disasters. Furthermore, the river network influence, sensitive point density and vegetation coverage constitute the sensitivity factors of hazard inducing environment; and population density and per capita GDP compose the vulnerability assessment factors of disaster body. Based on such factors, the risk assessment model for the waterlogging disaster of Xiamen Island is established, and waterlogging disaster risk level evaluation map at different return periods is generated. The results show that: With the increase of the return period, the area of high-risk index is gradually increasing, mainly showing the trend of expansion from coastal to island. Some areas exhibit stable low-risk characteristics due to the influence of the underlying surface such as the mountain and water system.

Key words: urban waterlogging, SWMM, return period, risk assessment