Stability Prediction of Rainfall-Induced Shallow Landslides: A Case Study of Mountainous Area in China

被引：6

作者：

Song, Kun ^{[1
,2
]}

Han, Luyang ^{[2
]}

Ruan, Di ^{[2
]}

Li, Hui ^{[1
]}

Ma, Baiheng ^{[1
]}

Dunkerley, David

机构：

[1] Hebei Key Lab Geol Resources & Environm Monitoring, Shijiazhuang 050011, Peoples R China

[2] Hubei Key Lab Disaster Prevent & Mitigat, Yichang 443002, Peoples R China

来源：

WATER | 2023年 / 15卷 / 16期

基金：

中国国家自然科学基金;

关键词：

rainfall-induced landslide; shallow landslide; stability prediction; TRIGRS model; 3 GORGES RESERVOIR; REGION; TRIGRS;

D O I：

10.3390/w15162938

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Heavy rainfall induces shallow landslides in the mountainous areas of China. There is a need for regional slope stability prediction to reduce the damage to infrastructure, residents, and the economy. This study attempts to demarcate areas prone to rainfall-induced shallow landslides using the transient rainfall infiltration and grid-based slope stability (TRIGRS) model under different rainfall conditions. After inputting the engineering geological and geotechnical characteristic data of the area in China, the slope stability was simulated and verified by a deformation monitoring landslide. The slope stability gradually declined under the influence of precipitation from 5-8 July 2021. Slope stability gradually decreased under the predicted rainfall intensity of 60 mm/d for 6 days. The percentage of the slope area with a factor of safety (FS) less than 1.0 increased from 0.00% (1 d) to 3.18% (6 d). The study results could be used for hazards mitigation in this region.

引用

页数：11

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