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Spatial probabilistic modeling of slope failure using an integrated GIS Monte Carlo simulation approach

机译:使用集成的GIS蒙特卡洛模拟方法对边坡破坏进行空间概率建模

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摘要

Spatial probabilistic modeling of slope failure using a combined Geographic Information System (GIS), infinite-slope stability model and Monte Carlo simulation approach is proposed and applied in the landslide-prone area of Sasebo city, southern Japan. A digital elevation model (DEM) for the study area has been created at a scale of 1/2500. Calculated results of slope angle and slope aspect derived from the DEM are discussed. Through the spatial interpolation of the identified stream network, the thickness distribution of the colluvium above Tertiary strata is determined with precision. Finally, by integrating an infinite-slope stability model and Monte Carlo simulation with GIS, and applying spatial processing, a slope failure probability distribution map is obtained for the case of both low and high water levels.
机译:提出了一种结合地理信息系统(GIS),无限边坡稳定性模型和蒙特卡罗模拟方法的边坡破坏空间概率模型,并将其应用于日本南部佐世保市的滑坡易发地区。已经以1/2500的比例创建了研究区域的数字高程模型(DEM)。讨论了由DEM得出的边坡角和边坡长宽的计算结果。通过对识别出的河流网络进行空间插值,可以精确地确定第三系地层上的冲积层的厚度分布。最后,通过将无限边坡稳定性模型和蒙特卡洛模拟与GIS集成,并进行空间处理,获得了低水位和高水位情况下的边坡破坏概率分布图。

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