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Predicting the Rainfall-Triggered Landslides in a Forested Mountain Region Using TRIGRS Model 被引量:10
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作者 Dongyeob KIM Sangjun IM +2 位作者 Sang Ho LEE Youngjoo HONG Kyung-Sub CHA 《Journal of Mountain Science》 SCIE CSCD 2010年第1期83-91,共9页
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 use... 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. 展开更多
关键词 山体滑坡 降雨入渗 S模型 山地 森林 边坡稳定计算 引发 预测
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