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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Landslide Susceptibility Mapping Using a Grid-based Infiltration Transient Model in Mountainous Regions
verfasst von : Dongyeob Kim, Eun Jai Lee, Byungkyu Ahn, Sangjun Im
Erschienen in: Landslide Science for a Safer Geoenvironment
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Abstract
Rainfall-induced landsliding is the major sediment-related disaster in the mountainous regions of Korea. Landslide susceptibility mapping, which is the principal approach to identifying areas prone to landslides, provides decision-makers with the policy priorities for mitigation and prevention measures. A revised TRIGRS (Transient Rainfall Infiltration and Grid-based Regional Slope-stability analysis) model was employed to estimate areas that would be unstable after rainfall occurred. Design rainfall data was statistically derived and input into the model. The influence of trees was considered in terms of tree surcharge and tree root cohesion. A regional estimate of landslide-prone areas was then conducted using the model. Unstable hillslope conditions vary temporally and spatially on a regional scale with soil, topography, and land use/cover.