Predicting the Rainfall-Triggered Landslides in a Forested Mountain Region Using TRIGRS Model

• Published in: Journal of mountain science Vol. 7; no. 1; pp. 83 - 91
• Main Authors: Kim, Dongyeob, Im, Sangjun, Lee, Sang Ho, Hong, Youngjoo, Cha, Kyung-Sub
• Format: Journal Article
• Language: English
• Published: Heidelberg SP Science Press 01.03.2010; Springer Nature B.V
• Subjects: Earth and Environmental Science; Earth Sciences; Ecology; Environment; Forests; Geography; Geology; Landslides & mudslides; Mathematical models; Mountains; Rain; S模型; 山体滑坡; 边坡稳定计算; 降雨入渗; South Korea; INW, Korea, Rep; TRIGRS; IKONOS2; safety factor; slope stability; landslides; Korea
• ISSN: 1672-6316; 1993-0321; 1008-2786
• DOI: 10.1007/s11629-010-1072-9

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 rainfallinduced 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.