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Journal of Mountain Science

, Volume 7, Issue 1, pp 83–91 | Cite as

Predicting the rainfall-triggered landslides in a forested mountain region using TRIGRS model

  • Dongyeob Kim
  • Sangjun ImEmail author
  • Sang Ho Lee
  • Youngjoo Hong
  • Kyung-Sub Cha
Article

Abstract

Landslides are natural disasters which can pose a serious threat to human and property in many areas around the world. The Transient Rainfall Infiltration and Grid-based Regional Slope-stability (TRIGRS) model was used to investigate the rainfall-induced shallow landslides in a forested mountain region, Korea. Various input data for TRIGRS model include time-varying rainfall, topographic characteristics, soil depth, material strength, and hydraulic properties. A series of calculations were conducted in determining the slope stability over the Jangheung region in Korea during the storm occurred on August 6, 1998. The results show that TRIGRS model captured about 64.1% of landslides that were extracted from the IKONOS2 imageries. The model demonstrated how the factor of safety changed with time during a storm considering both the transient and spatial responses of pore water pressure in its slope stability calculation.

Keywords

TRIGRS landslides IKONOS2 safety factor slope stability Korea 

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Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer Berlin Heidelberg 2010

Authors and Affiliations

  • Dongyeob Kim
    • 1
  • Sangjun Im
    • 2
    Email author
  • Sang Ho Lee
    • 1
  • Youngjoo Hong
    • 1
  • Kyung-Sub Cha
    • 3
  1. 1.Dept. of Forest SciencesSeoul National UniversitySeoulKorea
  2. 2.Dept. of Forest Sciences, Research Institute for Agriculture & life sciencesSeoul National UniversitySeoulKorea
  3. 3.Civil Engineering TeamDaeWoo E&CSuwonKorea

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