Landslide hazard and risk level assessment of quarried slopes in Lebanon using drone imagery

R. Kaafarani, G. Abou Jaoude
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引用次数: 1

Abstract

Human activities are continuously altering the geometry and steepness of natural slopes. When left exposed and unprotected, these slopes become susceptible to slide due to natural triggering factors like earthquakes and rainfall. Quarrying activities, in particular, contribute largely to slope failures worldwide, especially when unorganized and chaotic. In Lebanon, quarries are scattered randomly across the country and lack proper urban planning and management. Regional scale maps have been recently generated in a Geographic Information System (GIS) platform to identify hazard and risk areas for co-seismic and rainfall induced landslides; however, their applicability to altered “quarried” slopes has not been tested. In this research, we present a thorough methodology to assess, at a site-specific level, the hazard and risk levels of quarried slopes under three conditions: dry condition, heavy rainfall condition, and seismic condition. The aim is to ascertain the degree of accuracy of the regional scale maps in predicting landslides in quarried areas. A jointed limestone quarry in Bafliye, South of Lebanon, was mapped with a DJI Phantom 4 V2.0 drone, recreated as a 3D scene, assessed kinematically, and then analyzed using limit equilibrium and numerical modelling techniques. At failure, the maximum runout distance and the corresponding angle of reach were determined. The studied slope showed signs of failure under seismic events having a 10% chance of exceedance in 50 years, and under rainfall events having a 10-year return period with a relatively small runout distance of 7.76 m, yielding a low risk failure. The output of safety factors matched between the site specific and the regional scale analyses, while the failing mass volume and the corresponding risk levels did not. This indicated that the wedge failure analysis used in the regional scale analysis is adequate in predicting only hazard levels at quarried sites.
利用无人机图像对黎巴嫩采石边坡进行滑坡危害及风险等级评估
人类活动不断地改变着天然斜坡的几何形状和陡度。由于地震和降雨等自然触发因素,这些斜坡在暴露和不受保护的情况下很容易滑动。特别是采石活动,在很大程度上造成了世界范围内的边坡破坏,特别是在没有组织和混乱的情况下。在黎巴嫩,采石场分散在全国各地,缺乏适当的城市规划和管理。最近在地理信息系统(GIS)平台上制作了区域比例尺地图,以确定同震和降雨引起的滑坡的危险和危险地区;然而,它们对改变的“采石”斜坡的适用性尚未经过测试。在这项研究中,我们提出了一种全面的方法来评估,在特定的场地水平上,采石边坡在三种条件下的危害和风险水平:干燥条件,强降雨条件和地震条件。目的是确定区域比例尺地图在预测采石场滑坡方面的准确性。利用DJI Phantom 4 V2.0无人机对黎巴嫩南部Bafliye的一个节疤石灰岩采石场进行了绘制,并将其重建为3D场景,进行了动态评估,然后使用极限平衡和数值建模技术进行了分析。在失效时,确定了最大跳动距离和相应的到达角。研究边坡在50年超过10%概率的地震事件和10年一次的降雨事件下出现破坏迹象,跳动距离相对较小,为7.76 m,破坏风险较低。安全系数的输出结果与区域尺度分析结果相匹配,而失效质量和相应的风险水平则不匹配。这表明,区域尺度分析中使用的楔形破坏分析仅在预测采石场的危害程度方面是足够的。
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