首页|基于国产卫星数据的东淀蓄滞洪区洪涝监测及损失评估

基于国产卫星数据的东淀蓄滞洪区洪涝监测及损失评估

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在气候快速变暖的背景下,洪涝灾害发生的频次和强度明显增加,严重威胁社会经济发展和人民生命财产安全.2023年7月,受台风"杜苏芮"北上影响,中国北方出现极端降水,导致海河流域发生大规模洪水事件.华北地区成功启用了7个蓄滞洪区,有效缓解了下游洪水压力.本文利用所有可用的中国卫星数据,密切监测洪水过程,重点回顾东淀蓄滞洪区的洪水过程.结果表明,自2023 年8月 1日东淀蓄滞洪区启动以来,洪水在9天内到达天津市区,淹没了整个蓄滞洪区.洪水在蓄滞洪区持续了大约一周后才逐渐退去.全区最大淹没面积307.5 km2,其中耕地240.5 km2,设施农用地7 km2,建设用地9.7 km2,全区平均淹没时间19天,其中耕地平均淹没时间为21天.中国多源卫星数据为灾后评估提供了全面的信息和有力的参考.
Chinese Satellite-based Flood Mapping and Damage Assessment in Dongdian Flood Detention Basin,China
Against the background of rapid climate warming,frequent and severe flooding disasters significantly impact socio-economic development and human life.In 2023,due to the northward movement of Typhoon Doksuri,extreme precipitation occurred in northern China,which resulted in a massive flood event in the Haihe River basin.Seven flood detention basins(FDBs)in North China were successfully implemented to effectively alleviate the downstream flood pressure.Leveraging all available Chinese satellite data,we monitored the flooding process daily,focusing on reviewing the flooding in the Dongdian FDB.The results indicate that since the activation of Dongdian FDB on August 1,the flood reached the urban area of Tianjin in just nine days and inundated the entire detention basin.Flooding persisted in the detention basin for about a week before gradually receding.The total maximum inundated area in the whole region was 307.5 km²,including 240.5 km² of arable land,7.0 km² of greenhouse land,and 9.7 km² of built-up land,with an average inundation duration of 19 days.The total cumulative inundated arable land area was 240.5 km²,with an average inundation time of 21 days.This study shows that multi-source Chinese satellite data can provide comprehensive information and adequate references for post-disaster assessments.

Typhoon Doksuriflood detention basinflood monitoringmultispectralsynthetic-aperture radar(SAR)duration of inundation

刘明、金晟玥、谷昌军、李婧昕、李素菊、刘龙飞

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应急管理部国家减灾中心,北京 100124

应急卫星工程与应用应急管理部重点实验室,北京 100124

台风杜苏芮 蓄滞洪区 洪涝监测 多光谱 SAR 淹没时长

Research and Development Program of China

2021YFB3901205

2024

资源与生态学报(英文版)
中国科学院地理科学与资源研究所

资源与生态学报(英文版)

CSTPCD
影响因子:0.388
ISSN:1674-764X
年,卷(期):2024.15(5)