气象2017，Vol.43Issue(3)：341-347,7.DOI:10.7519/j.issn.1000-0526.2017.03.010
东津河流域暴雨洪涝灾害风险区划
Rainstorm Flood Risk Regionalization of the Dongjin River Basin
摘要
Abstract
Beginning with the mechanism of rainstorm floods,and taking the Dongjin River Basin as a case, this paper carries out the study on the rainstorm flood risk regionalization of medium and small river ba-sins.Using the meteorological data,hydrological data,geographic information data,social and economic statistical data,historic disaster data as well as the hydrological model of TOPMODEL and statistical method,we determine the flood critical area rainfall and also reconstruct the data sequence of regional me-teorological stations by the method of stepwise regression.Then by using the generalized extreme value distribution function,we work out the flood-causing area rainfall in different return periods.According to the distribution of hourly precipitation rainfall-pattern in the river basin,we use the FloodArea model to simulate the flood with the data of the flood-causing area rainfall in different return periods,the DEM add-ed with the dyke-dam information,and the coefficient of manning etc.,obtaining the flood inundation maps for different return periods.Finally the risk regionalization atlas for different return periods are drawn based on the data of population,GDP and landuse in the river basin.The technique established in this paper for rainstorm flood risk regionalization of medium and small river basins is convenient and feasible, and the results of risk regionalization are of high precision and strong practicability.Therefore,it is meaningful for dynamic disaster risk management which faces the real-time disaster prevention and mitigation.关键词
暴雨洪涝/风险区划/致洪面雨量/FloodArea/东津河流域Key words
rainstorm flood/risk regionalization/flood-causing area rainfall/FloodArea/Dongjin River Basin分类
天文与地球科学引用本文复制引用
谢五三,吴蓉,田红,卢燕宇..东津河流域暴雨洪涝灾害风险区划[J].气象,2017,43(3):341-347,7.基金项目
中国气象局气象关键技术集成与应用项目(CMAGJ2014M24)、国家自然科学基金项目(41105080)、安徽省气象局科技发展基金项目(KM201504)和中国气象局气候变化专项"基于水动力模型的城市内涝风险评估与区划"共同资助 （CMAGJ2014M24）
