山崩
泥石流
碎片
地质学
危害
滑坡分类
危害分析
环境科学
自然灾害
水文学(农业)
岩土工程
海洋学
工程类
航空航天工程
有机化学
化学
作者
Wenqi Zhou,Haijun Qiu,Luyao Wang,Yanqian Pei,Bingzhe Tang,Shuyue Ma,Dan Yang,Mingming Cao
出处
期刊:Catena
[Elsevier]
日期:2022-06-01
卷期号:213: 106199-106199
被引量:40
标识
DOI:10.1016/j.catena.2022.106199
摘要
Landslides, debris flows, and other destructive natural hazards induced by heavy rainfall in mountainous regions are sometimes not independent but combined to form a disaster chain. Based on the integral link between the triggering of the landslide and the subsequent debris flow, we propose an approach that combines the Transient Rainfall Infiltration and Grid-Based Regional Slope Stability (TRIGRS) model and the Rapid Mass Movements Simulation (RAMMS) model to achieve hourly hazard prediction. The results indicate that the TRIGRS model performed well in predicting the spatial distribution of the shallow landslides, with a success rate of 81.86%. Thus, it is reasonable to use it as the initial input for debris flow simulations. The relationship between the landslide area and the accumulated rainfall obtained using the TRIGRS model is a power-law relationship, which provides a reference for regions that lack rainfall data to predict the material source of a debris flow. The coupled model was found to have a good accuracy of 76.77% in simulating the debris flow. This was close to the debris flow simulation based on the interpreted landslides, and it still produced reasonable results and a more practical value. Furthermore, the proposed coupled model can dynamically predict disasters by the hour based on actual rainfall events. Therefore, the results of this study help provide a more complete hazard prediction picture for rainfall-induced landslide-debris flow hazards in mountainous regions.
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