ISSN 1003-8035 CN 11-2852/P
    周学铖, 徐争强, 胡祎, 张继宏. 帕隆藏布绞东滑坡堵江风险评估[J]. 中国地质灾害与防治学报, 2021, 32(6): 36-40. DOI: 10.16031/j.cnki.issn.1003-8035.2021.06-05
    引用本文: 周学铖, 徐争强, 胡祎, 张继宏. 帕隆藏布绞东滑坡堵江风险评估[J]. 中国地质灾害与防治学报, 2021, 32(6): 36-40. DOI: 10.16031/j.cnki.issn.1003-8035.2021.06-05
    Xuecheng ZHOU, Zhengqiang XU, Yi HU, Jihong ZHANG. Risk assessment of blocking the river by Jiaodong landslide in Parlung Zangbo[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(6): 36-40. DOI: 10.16031/j.cnki.issn.1003-8035.2021.06-05
    Citation: Xuecheng ZHOU, Zhengqiang XU, Yi HU, Jihong ZHANG. Risk assessment of blocking the river by Jiaodong landslide in Parlung Zangbo[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(6): 36-40. DOI: 10.16031/j.cnki.issn.1003-8035.2021.06-05

    帕隆藏布绞东滑坡堵江风险评估

    Risk assessment of blocking the river by Jiaodong landslide in Parlung Zangbo

    • 摘要: 文章以绞东滑坡为例,利用多期光学影像和Sentinel-1A降轨数据对绞东滑坡的崩滑时间和历史活动性进行了分析,根据分析结果将绞东滑坡斜坡区划分为三个区域,其中两个已滑滑区(A区、C区)和一个潜在滑区(B区)。在此基础上,通过滑坡碎屑流和岩体势能之间的计算方程反演了已滑滑坡的体积规模和滑体平均厚度,并基于已滑滑坡对潜在滑区可能造成的灾情进行了预测,认为潜在滑区在全部滑坡的情况下存在堵江风险。文中研究认为,在遥感手段识别滑坡活动性的基础上,利用遥感影像、DEM等数据,通过计算滑坡碎屑流和岩体势能之间的关系,可进行实测数据难以获取区域的滑坡规模与滑体平均厚度估算,进而进行险情评估,为滑坡防治提供指导。

       

      Abstract: Taking Jiaodong landslide as an example, this paper analyzes the collapse time and historical activity of Jiaodong landslide by using multi-phase optical images and sentinel-1A orbit reduction data. According to the analysis results, the slope area of Jiaodong landslide is divided into three areas, including two already sliding areas (area A and area C) and one potential sliding area (area B). On this basis, through the calculation equation between landslide debris flow and potential energy of rock mass, the volume scale and average thickness of the sliding mass of the sliding landslide are inversed. Based on the prediction of the possible disaster caused by the sliding landslide to the potential sliding area, it is considered that the potential sliding area has the risk of blocking the river under the condition of full unloading. This study believes that on the basis of remote sensing means to identify landslide activity, using remote sensing images, DEM and other data, through calculating the relationship between landslide debris flow and potential energy of rock mass, we can estimate the landslide scale and average thickness of the area where the measured data are difficult to obtain, and then carry out risk assessmentduj to provide guidance for landslide prevention and control.

       

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