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作 者:王越[1] 张可 李兆永 童意 邸苏闯 郑凡东 李巧玲[1] WANG Yue;ZHANG Ke;LI Zhaoyong;TONG Yi;DI Suchuang;ZHENG Fandong;LI Qiaoling(Hohai University,Nanjing 210098,China;Beijing Institute of Water Science and Technology,Beijing 100048,China;Beijing Research Center of Unconventional Water Resources Development and Utilization and Water-saving Engineering Technology,Beijing 100048,China;Heze Yellow River Diversion Irrigation Project Management Service Center,Heze 274000,China;Beijing Municipal Engineering Consulting Corporation,Beijing 100024,China)
机构地区:[1]河海大学,江苏南京210098 [2]北京市水科学技术研究院,北京100048 [3]北京市非常规水资源开发利用与节水工程技术研究中心,北京100048 [4]菏泽市引黄灌溉工程管理服务中心,山东菏泽274000 [5]北京市工程咨询有限公司,北京100124
出 处:《北京水务》2024年第1期5-11,共7页Beijing Water
基 金: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”;高分辨率对地观测系统国家科技重大专项(65-Y 50G01-9001-22/23):“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”;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”。
摘 要:为掌握“23·7”特大暴雨后北京市受灾情况,利用高分三号(GF-3)和资源一号(ZY-1)卫星数据,通过双极化水体指数SDWI提取北京市总体洪水淹没范围,采用专题信息判读法对北京市重点行政区淹没范围进行精准识别,并结合全市内涝舆情数据对淹没范围提取结果进行验证。结果表明:提取的灾后洪涝淹没范围与积水内涝诉求点位分布一致,其中房山区诉求次数最多、最密集;暴雨导致北京市地表水体面积约增加382.75 km^(2),增幅约为113.2%,其中西部昌平、门头沟、房山三区受灾最严重。利用SAR和可见光影像的互补性,能够为洪涝灾前防御和灾后分析提供技术保障,满足汛期应急监测需求。In order to grasp the disaster situation in Beijing induced by the severe "23·7" heavy rainstorm,(GF-3)and(ZY-1)satellite data were used to extract the overall inundation extent of Beijing using 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 combining 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 extent of flooding was consistent with the distribution of waterlogging claims,with the Fangshan District being the most frequent and densely populated;the rainstorm resulted in an increase of 382.75 km^(2)(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.
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