山崩
地表径流
地质学
滑坡防治
预警系统
滑坡分类
水文学(农业)
岩土工程
地貌学
前因(行为心理学)
泥石流
工作(物理)
边坡破坏
联轴节(管道)
预警系统
铅(地质)
前期水分
地震学
透视图(图形)
作者
Shufeng Tian,Kanglin Wu,Ningsheng Chen,Alessandro Simoni,Yong Li,Huan Liu,Jiming Jin,Tao Wen,Taixin Peng,Runing Hou
出处
期刊:Geology
[Geological Society of America]
日期:2026-04-13
卷期号:54 (7): 652-656
摘要
Abstract Intense rainfall is widely recognized as the primary trigger for landslides and is commonly used in early warning systems. Yet, many unexpected failures occur during periods of little or even no rainfall, leading to ineffective warnings and failed evacuations. The mechanisms by which landslides occur without heavy rainfall remain unexplored. Integrating field investigations, machine learning, remote sensing, and numerical simulations, we found that landslide disasters without heavy rainfall are widespread: 75.7% of 1118 catastrophic cases exhibited delayed onset, controlled by antecedent rainfall, the topographic wetness index, and landslide scale. For the first time, we identified three runoff-supply patterns (slope, gully, and creek supply) and two migration stages (surface and subsurface) that together govern strong runoff supply in confluence zones. Our work contributes an innovative perspective on the coupling of early strong runoff and weak geomaterials that triggers delayed failures, with three subsurface runoff stages—interflow, sliding-face flow, and return flow. These results clarify the hydro-geomaterial coupling behind delayed landslides and support improved early warning and prediction to reduce risk.
科研通智能强力驱动
Strongly Powered by AbleSci AI