Potential sliding zone recognition method for the slow-moving landslide based on the Hurst exponent  

作　　者：Haiqing Yang Lili Qu Lichuan Chen Kanglei Song Yong Yang Zhenxing Liang 

机构地区：[1]State Key Laboratory of Coal Mine Disaster Dynamics and Control,School of Civil Engineering,Chongqing University,Chongqing,400045,China [2]Technology Innovation Center of Geohazards Automatic Monitoring,Ministry of Natural Resources(Chongqing Institute of Geology and Mineral Resources),Chongqing,401120,China

出　　处：《Journal of Rock Mechanics and Geotechnical Engineering》2024年第10期4105-4124,共20页岩石力学与岩土工程学报（英文）

基　　金：support from the National Key R&D Program of China(Grant No.2021YFB3901403);Project supported by graduate research and innovation foundation of Chongqing,China(Grant No.CYS23115);Special project for performance incentive and guidance of scientific research institutions in Chongqing(Grant No.cstc2021jxjl120011)are greatly appreciated。

摘　　要：The abrupt occurrence of the Zhongbao landslide is totally unexpected,resulting in the destruction of local infrastructure and river blockage.To review the deformation history of the Zhongbao landslide and prevent the threat of secondary disasters,the small baseline subsets(SBAS)technology is applied to process 59 synthetic aperture radar(SAR)images captured from Sentinel-1A satellite.Firstly,the time series deformation of the Zhongbao landslide along the radar line of sight(LOS)direction is calculated by SBAS technology.Then,the projection transformation is conducted to determine the slope displacement.Furthermore,the Hurst exponent of the surface deformation along the two directions is calculated to quantify the hidden deformation development trend and identify the unstable deformation areas.Given the suddenness of the Zhongbao landslide failure,the multi-temporal interferometric synthetic aperture radar(InSAR)technology is the ideal tool to obtain the surface deformation history without any monitoring equipment.The obtained deformation process indicates that the Zhongbao landslide is generally stable with slow creep deformation before failure.Moreover,the Hurst exponent distribution on the landslide surface in different time stages reveals more deformation evolution information of the Zhongbao landslide,with partially unstable areas detected before the failure.Two potential unstable areas after the Zhongbao landslide disaster are revealed by the Hurst exponent distribution and verified by the GNSS monitoring results and deformation mechanism discussion.The method combining SBASInSAR and Hurst exponent proposed in this study could help prevent and control secondary landslide disasters.

关 键 词：Zhongbao landslide Interferometric synthetic aperture radar (InSAR)technology Hurst exponent Deformation process Unstable area identification 

分 类 号：P642.22[天文地球—工程地质学]