ISSN 1000-3665 CN 11-2202/P

    非显性滑坡三维结构探测与稳定性评价以甘肃中寨滑坡为例

    Three-dimensional structure detection and stability evaluation of non-apparent landslide: A case study of Zhongzhai landslide in Gansu Province

    • 摘要: 地震、极端降雨等条件诱发的浅生滑坡影响范围广、安全隐患大,由于此类滑坡在滑前并无明显变形迹象,即为非显性滑坡。传统遥感技术和无人机航测手段只能观测坡表的变形特征,不能有效地预测非显性滑坡的发生,因此探明坡体地下结构是研究非显性滑坡的关键。以甘肃省天水市秦州区娘娘坝镇中寨滑坡为研究对象,借助高密度电阻率法获取滑坡区电阻率断面图,依据原位轻型动力触探试验及岩芯钻孔资料比对电阻率成像结果,确定电阻率与地层岩性间的关系,在电阻率空间三维模型中获取地层结构;结合无人机摄影测量获取地表的地形特征,重建中寨滑坡在破坏前的三维地质模型,实现多源数据的融合;利用数值模拟进行稳定性评价并探究中寨滑坡的发育过程与成因机制。结果证明:地层结构对降雨诱发的非显性滑坡发育有重要影响。该研究可为非显性滑坡的稳定性评价以及预测工作提供参考。

       

      Abstract: Earthquakes, extreme rainfall, and other conditions can trigger numerous shallow landslides, posing significant safety hazards. Non-obvious landslides, which lack clear precursory signs, are particularly challenging to predict. While traditional remote sensing and UAV aerial surveys can detect surface deformations, they fail to anticipate the occurrence of non-obvious landslides due to their inability to probe subsurface structures. Therefore, exploring slope underground structural characteristics is the key to studying non-obvious landslides. This study investigated the Zhongzhai landslide in Niangniangba, Qinzhou District, Tianshui City, Gansu Province, and the apparent resistivity of profile of the landslide area was obtained by electrical resistivity tomography survey, using in-situ light dynamic penetration test and drilling data to confirm the relationship between resistivity and formation lithology. the formation structure was then obtained from the three-dimensional model of high-density resistivity. UAV photogrammetry and field investigations provided terrain features, facilitating the reconstruction of a three-dimensional geological model of the Zhongzhai landslide, to realize the fusion of multi-source data. Numerical simulations were then conducted to explore the development process and failure mechanism of landslides at the loess-bedrock interface. The results demonstrate that the geological structure characteristics have a significant impact on the development of non-apparent landslides. This study can provide valuable insights for the stability evaluation and prediction of non-obvious landslides.

       

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