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http://dx.doi.org/10.9720/kseg.2018.4.687

Landslide Susceptibility Assessment Considering the Saturation Depth Ratio by Rainfall Change  

Kwak, Jae Hwan (Forest Engineering Research Institute, National Forestry Cooperative Federation)
Kim, Man-Il (Forest Engineering Research Institute, National Forestry Cooperative Federation)
Lee, Seung-Jae (National Center for AgroMeteorology)
Publication Information
The Journal of Engineering Geology / v.28, no.4, 2018 , pp. 687-699 More about this Journal
Abstract
Understanding rain infiltration into the ground is an important feature of landslide risk evaluation. In this study, a landslide risk index for the study area is suggested, wherein the result of the landslide risk evaluation, based on the factor of safety (FS), is used. The landslide risk index is a landslide risk prediction index that utilizes the saturated depth ratio of the ground. Based on the landslide risk result for the study area, it was found that the FS was first to decrease. However, it gradually became convergent over the 50-year rainfall intensity study period, a result that is similar to the relationship between the saturated depth ratio and soil thickness. Moreover, saturated depth was also found to be deeper on gentle slopes than steep slopes. As such, the landslide risk index, based on the Inhu-ri study result, is thus suggested. Additionally, the suggested landslide risk index was compared and analyzed against the rainfall intensity of previous landslide experience. Results thus revealed that almost all landslides that occurred were over 0.7, which is the second grade, based on the landslide risk index.
Keywords
Infinite slope model; Rainfall intensity; GIS; Saturation depth ratio; landslide risk index;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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