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基于GIS淹没模型的城市道路内涝灾害风险区划研究
引用本文:叶丽梅,周月华,向华,牛奔,高伟,周羽.基于GIS淹没模型的城市道路内涝灾害风险区划研究[J].长江流域资源与环境,2016,25(6):1002-1008.
作者姓名:叶丽梅  周月华  向华  牛奔  高伟  周羽
作者单位:1. 武汉区域气候中心, 湖北 武汉 430074;2. 武汉中心气象台, 湖北 武汉430074;3. 湖北省仙桃市气象局, 湖北 仙桃 433000;4. 中国地质大学信息工程学院, 湖北 武汉 430074;5. 湖北省襄阳市气象局, 湖北 襄阳 441021
摘    要:在求取襄阳中心城区重现期雨量与可抽排雨量的基础上,采用基于GIS暴雨洪涝淹没模型计算不同重现期致灾雨量的淹没水深和范围;依据城市内涝对道路的实际影响,制作城市道路内涝灾害风险区划图。结果表明,该方法能够直观表达研究区域内不同雨量阈值的内涝灾害淹没风险分布,定量评估淹没水深、淹没范围。同时给出了城市道路内涝灾害风险区划图,结合城市道路信息,准确定位高风险易涝街区,为政府部门决策提供科学依据。

关 键 词:淹没模型  城市内涝  风险区划  

RISK REGIONALIZATION OF URBAN ROADS WATERLOGGING DISASTERS BASED ON GIS RAINSTORM FLOOD INUNDATION MODEL
YE Li-mei,ZHOU Yue-hua,XIANG Hua,NIU Ben,GAO Wei,ZHOU Yu.RISK REGIONALIZATION OF URBAN ROADS WATERLOGGING DISASTERS BASED ON GIS RAINSTORM FLOOD INUNDATION MODEL[J].Resources and Environment in the Yangtza Basin,2016,25(6):1002-1008.
Authors:YE Li-mei  ZHOU Yue-hua  XIANG Hua  NIU Ben  GAO Wei  ZHOU Yu
Institution:1. Wuhan Regional Climate Centre, Wuhan 430074, China;2. Wuhan Central Meteorological Observatory, Wuhan 430074, China;3. Xiantao Meteorological Office of Hubei Province, Xiantao 433000, China;4. China University of Geosciences Faculty of information engineering, Wuhan 430074, China;5. Xiangyang Meteorological Office of Hubei Province, Xiangyang 441021, China
Abstract:Based on acquiring rainfall return period and pumping rainfall of Xiangyang center city, submerged depth and scope of disaster-causing areal rainfall in different return period were obtained by using GIS Rainstorm Flood Inundation Model. Waterlogging flood risk distribution of urban roads was made according to the actual impact of urban waterlogging on the roads. The results indicated that this method could directly show the waterlogging flood risk distribution of different threshold rainfall in different area, quantitatively assessed the submerged depth and scope of flood. Meantime, the method could provide waterlogging flood risk distribution of urban roads, combined with the urban roads information and positioning high-risk waterlogged street, and put forward scientific basis for government.
Keywords:rainstorm flood inundation model  urban waterlogging disasters  risk regionalization  
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