Predicting the rainfall-triggered landslides in a forested mountain region using TRIGRS model |
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| Authors: | Dongyeob Kim Sangjun Im Sang Ho Lee Youngjoo Hong Kyung-Sub Cha |
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| Institution: | (1) Department of Civil and Environmental Engineering, University of Perugia, via G. Duranti 93, 06125 Perugia, Italy;(2) United States Geological Survey, MS 966, Box 25046, Denver Federal Center, Denver, CO 80225, USA; |
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| 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. |
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