北京水务Issue(1)：5-11,7.DOI:10.19671/j.1673-4637.2024.01.002
北京市"23·7"特大暴雨洪涝淹没范围识别分析
Identification and analysis of inundation area during"23·7"heavy rainstorm in Beijing
摘要
Abstract
In order to grasp the disaster situation in Beijing induced by the severe"23·7"heavy rain-storm,(GF-3)and(ZY-1)satellite data were used to extract the overall inundation extent of Beijing us-ing the dual-polarised water body index(SDWI).The inundation extent of Beijing's key administrative districts was accurately identified by the thematic information interpretation method,and verified by com-bining with the city's public opinion data on waterlogging.The precise identification of submerged areas in key administrative districts of Beijing was achieved through the application of a thematic information interpretation method.This approach was further validated by integrating public sentiment data on urban waterlogging throughout the entire city.The results showed that:the extracted post-disaster inundation ex-tent of flooding was consistent with the distribution of waterlogging claims,with the Fangshan District be-ing the most frequent and densely populated;the rainstorm resulted in an increase of 382.75 km2(113.2％)in the surface water area of Beijing,among which Changping,Mentougou and Fangshan districts in the southwest were the most severely affected;the use of SAR and the complementary nature of visible imagery could provide technical support for the pre-disaster flood defence and post-disaster analysis,and satisfy the emergency monitoring and monitoring requirements during the flood season.关键词
SAR/暴雨/淹没范围/SDWIKey words
SAR/heavy rain/inundation range/SDWI分类
天文与地球科学引用本文复制引用
王越,张可,李兆永,童意,邸苏闯,郑凡东,李巧玲..北京市"23·7"特大暴雨洪涝淹没范围识别分析[J].北京水务,2024,(1):5-11,7.基金项目
北京市科委重大研发项目(Z231100003823005):"暴雨洪涝灾害智能感知及多源数据驱动风险预警技术研究与应用" （Z231100003823005）
高分辨率对地观测系统国家科技重大专项(65-Y50G01-9001-22/23):"基于高分卫星的北京市洪涝灾害监测预警及防控研究与示范" （65-Y50G01-9001-22/23）
水利部青年拔尖人才资助项目:"基于遥感大数据驱动的北京市洪涝灾害监测预警及防控关键技术研究". （）
