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A study on the use of planarity for quick identification of potential landslide hazard

机译:利用平面度快速识别潜在滑坡灾害的研究

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摘要

In this study we focused on identifying a geomorphological feature that controls the location of landslides. The representation of the feature is based on a high-resolution digital elevation model derived from the airborne laser altimetry (LiDAR) and evaluated by the statistical analysis of axial orientation data. The main principle of this analysis is generating eigenvalues from axial orientation data and comparing them. The planarity, a ratio of eigenvalues, would tell the degree of irregularity on the ground surface based on their ratios. Results are compared to the recent landslide case in Korea in order to evaluate the feasibility of the proposed methodology in identifying the potential landslide hazard. The preliminary landslide hazard assessment based on the planarity analysis discriminates features between stable and unstable domain in the study area well, especially in the landslide initiation zones. Results also show it is beneficial to build the landslide hazard inventory mapping, especially where no information on historical records of landslides exists. By combining other physical procedures such as geotechnical monitoring, the landslide hazard assessment using geomorphological features promises a better understanding of landslides and their mechanisms and provides an enhanced methodology to evaluate their hazards and appropriate actions.
机译:在这项研究中,我们着重于确定控制滑坡位置的地貌特征。该特征的表示基于从机载激光测高仪(LiDAR)导出的高分辨率数字高程模型,并通过对轴向方向数据的统计分析进行了评估。该分析的主要原理是从轴向方向数据生成特征值并进行比较。平面度(特征值的比率)可以根据比率确定地面的不规则程度。将结果与韩国最近发生的滑坡案例进行了比较,以评估该方法论在识别潜在滑坡灾害中的可行性。基于平面度分析的初步滑坡灾害评估可以区分研究区域的稳定区域和不稳定区域之间的特征,尤其是在滑坡起始区。结果还表明,建立滑坡灾害风险清单图很有用,特别是在没有滑坡历史记录信息的情况下。通过结合其他物理程序(例如岩土工程监测),利用地貌特征进行滑坡灾害评估有望更好地理解滑坡及其机理,并提供一种评估滑坡灾害和采取适当行动的改进方法。

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