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Combined rock slope stability and shallow landslide susceptibility assessment of the Jasmund cliff area (Rügen Island, Germany)

机译:Jasmund Cliff地区(德国吕根岛)的岩石边坡稳定性与浅层滑坡易感性评估

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In this contribution we evaluated both the structurally-controlled failure susceptibility of the fractured Cretaceous chalk rocks and the topographically-controlled shallow landslide susceptibility of the overlying glacial sediments for the Jasmund cliff area on Rügen Island, Germany. We employed a combined methodology involving spatially distributed kinematical rock slope failure testing with tectonic fabric data, and both physically- and inventory-based shallow landslide susceptibility analysis. The rock slope failure susceptibility model identifies areas of recent cliff collapses, confirming its value in predicting the locations of future failures. The model reveals that toppling is the most important failure type in the Cretaceous chalk rocks of the area. The shallow landslide susceptibility analysis involves a physically-based slope stability evaluation which utilizes material strength and hydraulic conductivity data, and a bivariate landslide susceptibility analysis exploiting landslide inventory data and thematic information on ground conditioning factors. Both models show reasonable success rates when evaluated with the available inventory data, and an attempt was made to combine the individual models to prepare a map displaying both terrain instability and landslide susceptibility. This combination highlights unstable cliff portions lacking discrete landslide areas as well as cliff sections highly affected by past landslide events. Through a spatial integration of the rock slope failure susceptibility model with the combined shallow landslide assessment we produced a comprehensive landslide susceptibility map for the Jasmund cliff area.
机译:在这一贡献中,我们评估了德国吕根岛德国岛覆盖冰川沉积物的骨折白垩岩石岩石的结构控制失效易感性以及覆盖冰川沉积物的拓扑浅层滑坡易感性。我们采用了一种涉及具有构造织物数据的空间分布的运动岩斜率测试的组合方法,以及物理和基于库存的浅滑坡易感性分析。摇滚失效易感性模型识别近期悬崖崩溃的区域,确认其在预测未来失败的位置的价值。该模型表明,膨胀是该地区白垩纪粉笔岩石中最重要的故障类型。浅层滑坡易感性分析涉及物理基础的斜坡稳定性评估,其利用材料强度和液压导电性数据,以及一分型滑坡敏感性分析利用滑坡库存数据和关于地面调理因子的主题信息。两种模型都显示使用可用库存数据评估时的合理成功率,并且尝试将各个模型组合以准备显示地形不稳定和滑坡易感性的地图。这种组合凸显了不稳定的悬崖部分,缺乏离散滑坡区域以及受到过去山体滑坡事件的悬崖部分。通过岩石斜坡故障敏感性模型的空间整合,浅层滑坡评估,我们为Jasmund Cliff地区制作了全面的滑坡易感性图。

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