摘要
基于河南郑州市“2021.7.20”特大暴雨,将同等强度暴雨情景移植到云南昆明市,利用城市洪涝模型模拟计算昆明市区的洪涝情况。模拟结果显示,昆明市区主要河道均发生不同程度的漫堤情况,大部分城区发生0.15 m以上深度的积水,积水点共821处,其中积水深度大于2.00 m的89处,1.00~2.00 m的195处;主要道路严重积水,部分主干道积水深度超过2.00 m。郑州市“2021.7.20”特大暴雨远超过城市正常排水能力,洪涝灾害难以避免。根据模拟分析结果,结合洪涝工程现状,提出了以系统治理思路完善昆明市防洪排涝工程体系,突出“四预”(预报、预警、预演、预案),强化昆明市防汛应急响应体系建设,提升居民防灾意识和自救能力等超标准暴雨应对的警示和建议,相关分析和建议可为其他城市提供借鉴和参考。
Based on the“2021.7.20”extreme rainstorm in Zhengzhou City,the rainstorm scenario with the same intensity was transplanted to Kunming City,Yunnan Province,and the urban flood model was used to simulate the flood situation in Kunming urban areas.The results show that the main rivers in the urban area overflowed in different degrees and most urban areas ponded with a depth of more than 0.15 m with a total of 821 waterlogging points,of which 89 waterlogging points with a water depth more than 2.00 m,and 195 waterlogging points with a water depth of 1.00~2.00 m.The main roads were seriously flooded,some of which with the depth exceeding 2.00 m.The analysis results show that the extreme rainstorm far exceeds the normal drainage capacity of the city,and flood disaster is unavoidable.According to the results of simulation analysis,together with the status quo of the flood projects,it is proposed to improve the flood control and drainage engineering system in Kunming with systematic management ideas,highlight the“four pre-plans”(forecast,early warning,pre-rehearsal and pre-plan)to strengthen the construction of the flood control emergency response system in Kunming,and improve residents’awareness of disaster prevention and self-rescue capabilities to deal with extreme rainstorms.Related analysis and suggestions can provide reference for other cities.
作者
柏平
刘业森
刘舒
李敏
BAI Ping;LIU Yesen;LIU Shu;LI Min(Flood Control and Drought Relief Office of Kunming,Kunming 650500;China Institute of Water Resources and Hydropower Research,Beijing 100038;Research Center on Flood and Drought Disaster Reduction of the Ministry of Water Resources,Beijing 100038)
出处
《中国防汛抗旱》
2021年第9期25-29,共5页
China Flood & Drought Management
基金
国家自然科学基金(52009147)。
