ISSN 1003-8035 CN 11-2852/P
    杨成业，张涛，高贵，等. SBAS-InSAR技术在西藏江达县金沙江流域典型巨型滑坡变形监测中的应用[J]. 中国地质灾害与防治学报，2022，33(3): 94-105. DOI: 10.16031/j.cnki.issn.1003-8035.2022.03-11
    引用本文: 杨成业，张涛，高贵，等. SBAS-InSAR技术在西藏江达县金沙江流域典型巨型滑坡变形监测中的应用[J]. 中国地质灾害与防治学报，2022，33(3): 94-105. DOI: 10.16031/j.cnki.issn.1003-8035.2022.03-11
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    YANG Chengye, ZHANG Tao, GAO Gui, et al. Application of SBAS-InSAR technology in monitoring of ground deformation of representative giant landslides in Jinsha river basin, Jiangda County, Tibet[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(3): 94-105. DOI: 10.16031/j.cnki.issn.1003-8035.2022.03-11
    Citation: YANG Chengye, ZHANG Tao, GAO Gui, et al. Application of SBAS-InSAR technology in monitoring of ground deformation of representative giant landslides in Jinsha river basin, Jiangda County, Tibet[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(3): 94-105. DOI: 10.16031/j.cnki.issn.1003-8035.2022.03-11
    shu

    SBAS-InSAR技术在西藏江达县金沙江流域典型巨型滑坡变形监测中的应用

    Application of SBAS-InSAR technology in monitoring of ground deformation of representative giant landslides in Jinsha river basin, Jiangda County, Tibet

      摘要
    • 摘要: 滑坡是一种破坏力极强的地质灾害，对滑坡易发区域进行长期有效的时序形变监测是研究机理和防灾减灾的重要途径，小基线雷达干涉测量技术（SBAS-InSAR）在滑坡等地质灾害形变监测中的应用为当前地灾防治提供了新的手段。文章使用SBAS-InSAR技术对西藏江达县金沙江流域发生的典型滑坡灾害进行了时序形变特征分析。首先，基于2017年7月—2018年12月的23景Sentinel-1A影像数据，获取了江达县东部及其周边区域在时间跨度内的形变分布图以及时序形变特征；在此基础上，结合区域内沃达和白格2处滑坡的实地勘探资料和现有研究成果验证了形变探测结果的准确性；另监测数据显示沃达滑坡中部及前缘位置存在明显形变，且部分位置的形变量超过100 mm，白格滑坡的残留体同样存在较大的形变，尤其是边界区域存在明显的形变漏斗，最大形变量超过110 mm。同时在金沙江流域西岸存在2处滑坡隐患区域，累计沉降量均超过45 mm，最大形变速率分别为−53 mm/a和−45 mm/a。基于数据分析和现场勘查，表明SBAS-InSAR技术在滑坡灾害的形变监测方面是一种有效手段，另江达县金沙江多处岸坡在不断发生形变，应进一步加强该区域地质灾害形变监测，必要时提前开展防治工作。

       

      Abstract: Landslide is a kind of natural geological disaster with strong destructive power, long-term effective time-series deformation monitoring of landslide prone areas is an important way to prevent and mitigate disasters, and the application of time-series radar interferometry technology in geological disaster deformation monitoring such as landslide provides a new effective means for current geological disaster prevention and control. This paper uses SBAS-InSAR technology to analyze the time-series deformation characteristics of the representative giant landslides in the areas of Jinsha river basin in Jiangda country, Tibet. Firstly, based on the 23 sentinel-1A images from July 2017 to December 2018, the deformation distribution map and temporal deformation characteristics of eastern Jiangda County and its surrounding areas in the time span were obtained; on this basis, the accuracy of the deformation detection results of this paper were verified by combining the field exploration data of two paleolandslide in the region and the existing research results; finally, the deformation detection results of two landslides show that there were resurrection areas in the middle and front edge of the Woda landslide, and the deformation in some locations exceeded 100 mm, and the residual bodies in the Baige landslide also had large deformation, especially there was an obvious deformation funnel in the boundary area, and the maximum deformation exceeded 110 mm. Meanwhile, there are two potential landslide areas on the west bank of the Jinsha river basin, the cumulative settlement exceeds 45 mm, and the maximum deformation rates are −53 mm/a and −45 mm/a, respectively.Based on data analysis and field investigation, SBAS-InSAR technology provide an effective mean for monitoring and preventing the deformation of landslides geological hazards. In addition, many bank slopes of Jinsha river in Jiangda County are constantly deformed. It is necessary to strengthen the monitoring of local disaster and carry out prevention and control work in advance.

       

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