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Estimating mechanical slope stability to predict the regions and ranges of deep-seated catastrophic landslides
Yoshino, Kousuke Uchida, Taro
Yoshino, Kousuke
Uchida, Taro
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2019
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Abstract
In Japan, Typhoon Talas (T1112) induced many rapid deep-seated landslides in the Kii Peninsula. A landslide is one of main processes associated with debris flow initiation. In particular, deep-seated catastrophic landslides can lead to large-scale debris flows that seriously impact human welfare. Previous studies have explored the roles played by geology and geological structure. However, no single, widely used physical model is employed to analyze such landslides. Here, we focus on slope scale and gradient, and explore the relationship between height and gradient for several slopes. We found that the height of slopes exhibiting various gradients was limited, where the greater the gradient, the lower the height; the relationship was amenable to slope stability analysis. We developed a physical model of deep-seated landslides and identified regions at risk. We focused on slopes where typhoon Talas caused such landslides and used detailed topological (LiDAR) data collected before and after the typhoon to measure slope gradients and relative heights. Our model effectively localized deep-seated landslides, although we assumed that the strength of weathered rock was uniform throughout the study area, based on data on the side-slope gradients and relative heights of land abutting the Totsugawa River.
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