基于CSI-InSAR技术的清江库区堆积层滑坡隐患早期识别  

Early identification of accumulation layer landslides in Qingjiang reservoir area based on CSI-InSAR technology

作　　者：曾斌 彭一桂 吴志超 艾东 袁晶晶 黄维 ZENG Bin;PENG Yigui;WU Zhichao;AI Dong;YUAN Jingjing;HUANG Wei(School of Environmental Studies,China University of Geosciences(Wuhan),Wuhan 430078,China;The Seventh Geological Brigade,Hubei Geological Bureau,Yichang 443100,China)

机构地区：[1]中国地质大学(武汉)环境学院,湖北武汉430078 [2]湖北省地质局第七地质大队,湖北宜昌443100

出　　处：《安全与环境工程》2025年第2期231-241,共11页Safety and Environmental Engineering

基　　金：湖北省地质局第七地质大队科技基金项目(DQKJ2022-1);宜昌市夷陵区科技计划项目(2023B-104)。

摘　　要：针对长阳土家族自治县环清江库区两岸堆积层滑坡多发且隐蔽性强的问题,为克服传统人工监测和光学遥感调查的局限性以及常规PS、SBAS-InSAR技术在山区可获取形变点较少的现状,提出采用相干散射体时序InSAR(CSI-InSAR)技术对库区进行早期滑坡隐患识别。利用2021年10月5日—2022年6月2日时间段的Sentinel-1A升轨数据,使用振幅离差阈值法和BWS(Burrows-Wheeler Similarity)检验方法,提取了PS点和DS点,并根据最大坡度向形变速率转换公式,对形变点进行筛选,最后通过热点分析圈划出了滑坡隐患区。结果表明:清江两岸都以下降形变为主,下降速率在-6~-15 mm/a之间;渔峡口镇至资丘镇沿岸的下降点较多,与历史滑坡灾害点的分布较为吻合;高相干CSI形变点与GNSS数据记录的时序曲线的趋势较为一致;圈划出的33处滑坡隐患区均具备堆积层滑坡灾害发生的地质条件。本研究使用的CSI-InSAR技术在山区较为适用,解译结果可靠性高,可为类似山区堆积层滑坡的隐患识别及防灾减灾工作提供参考。This study aims at address the recurring issue of landslide occurrences with strong concealment in the bank deposit areas along Qingjiang Reservoir in Changyang County.Traditional methods of manual monitoring and optical remote sensing investigations have their limitations.Additionally,conventional persistent scatterer(PS)and small baseline subset(SBAS)techniques provide limited deformation points in mountainous regions.To overcome these challenges,the utilization of coherent scatterer(CSI)InSAR technology is proposed for early identification of landslide hazards in the reservoir area.In this study,Sentinel-1A ascending orbit data from October 5th,2021 to June 2nd,2022 was used.Amplitude difference thresholding and the Burrows-Wheeler Similarity(BWS)test methods were employed to extract PS and distributed scatterer(DS)points.By converting the deformation into slope velocity,hidden landslide areas were found after using hot spot analysis.The results show that both sides of Qingjiang River are dominated by downward deformation,with a deformation rate of-6~-15 mm/a.There are many deformation points along the coast from Yuxiakou Town to Ziqiu town,which is consistent with the distribution of historical landslide disaster points.The deformation trend of high coherence CSI is consistent with the trend of GNSS data.All 33 hidden landslide areas have geological conditions for the occurrence of accumulation layer landslide disaster.The results demonstrate the suitability of CSI-InSAR technology in mountainous regions,providing reliable interpretation results and serving as a reference for landslide hazard identification and disaster prevention in similar mountainous areas.

关 键 词：堆积层滑坡 滑坡隐患识别 CSI-InSAR SBAS-InSAR 地表形变监测 清江库区 

分 类 号：X43[环境科学与工程—灾害防治] P642[天文地球—工程地质学]