GIS-based prediction method of landslide susceptibility using a rainfall infiltration-groundwater flow model

Junghwan Kim, Kwangwoo Lee, Sangseom Jeong, Gwangseob Kim

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

This paper describes a physical-based model to predict rainfall-induced landsides. Special attention was given to the introduction of a GIS-based model, YS-Slope model (YonSei-Slope model), which can evaluate the susceptibility of landslides. The model has been improved by incorporating the combined effects of groundwater flow and rainfall infiltration into the raster model. The two dimensional Darcy's law was used to reflect the effect of groundwater flow in the soil slope, and the modified Green-Ampt model, which is a one-dimensional infiltration model, was selected to capture the effect of rainfall infiltration into the soil mass. These elements were integrated into the infinite slope-stability model for a rainfall-induced landslide. The proposed model was verified by comparing the results from existing models as well as an actual slope failure case that occurred in Korea. With further study, the YS-model could be adopted as a prediction method for rainfall-induced landslides.

Original languageEnglish
Pages (from-to)63-78
Number of pages16
JournalEngineering Geology
Volume182
Issue numberPA
DOIs
Publication statusPublished - 2014 Nov 9

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geology

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