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作 者:张金萍[1,2] 杨锋 方宏远[1] ZHANG Jin-ping;YANG Feng;FANG Hong-yuan(School of Water Conservancy Engineering,Zhengzhou University,Zhengzhou 450001,China;State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081,China)
机构地区:[1]郑州大学水利科学与工程学院,河南郑州450001 [2]中国气象科学院灾害天气国家重点实验室,北京100081
出 处:《水电能源科学》2022年第5期64-67,173,共5页Water Resources and Power
基 金:2019年度河南省重点研发与推广专项(科技攻关)(192102310508);河南省自然科学基金(212300410404);灾害天气国家重点实验室开放课题(2021LASW-A15)。
摘 要:随着城市极端降雨天气的增加及城市化进程的快速发展,城市内涝现象频发,是目前城市建设急需解决的难题。在分析郑州市2014~2018年暴雨时空分布的基础上,结合网络爬虫技术获取郑州市致灾暴雨及其造成的积水点信息,分析了暴雨要素与积水点的相关关系,并选取具体致灾暴雨场次分析不同致灾因子对积水的影响。结果表明,郑州市中原区和二七区交界处及金水区西部为暴雨积水点重灾区;在暴雨要素中,积水点数目与最大40 min降雨量相关关系最好,与降雨持续时间呈现弱相关关系;在具体场次暴雨中,积水点附近有施工和地势低洼对是否产生积水影响最大。With the increase of extreme rainfall in cities and the rapid development of urbanization, urban waterlogging occurs frequently, which is an urgent problem to be solved in urban construction. Based on the analysis of the time and space distribution of the rainstorm in Zhengzhou City from 2014 to 2018, the web crawler technology was used to obtain information on the disaster-causing rainstorm in Zhengzhou City and the waterlogging points. The correlation between rainstorm elements and waterlogging points was analyzed. The specific disaster-causing rainstorms were chosen to analyze the impact of different disaster-causing factors on waterlogging. The results show that the junction of Zhongyuan District and Erqi District of Zhengzhou City and the western part of Jinshui District are the hardest-hit areas of rainwater accumulation. Among the rainstorm elements, the number of waterlogging points has the best correlation with the maximum 40-minute rainfall, and it has a weak correlation with the rainfall duration. In a specific rainstorm, there are construction and low-lying terrain near the waterlogging point, which has the greatest impact on whether waterlogging is generated.
分 类 号:P426.62[天文地球—大气科学及气象学] TV125[水利工程—水文学及水资源]
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