This study aimed to assess the interrelationship among extreme natural events and their
impacts on environments and humans through a systematic and quantitative review based …

A complete and accurate landslide map is necessary for landslide susceptibility and risk
assessment. Currently, deep learning faces the dilemma of insufficient application, scarce …

The main objective of the study was to evaluate and compare the overall performance of
three methods, frequency ratio (FR), certainty factor (CF) and index of entropy (IOE), for …

Landslides induced by rainfall frequently happen in South-western China where steep
slopes, loess plateau occur. Thus, it is empirical to build the early warning system to …

On the afternoon of 28 June 2010, an enormous landslide occurred in the Gangwu region of
Guanling County, Guizhou Province. In order to better understand the mechanism of the …

Catastrophic landslides with basal shear zones usually involve a number of mechanisms
that are poorly understood. One mechanism issue is the transition from slow sliding to fast …

Many geo-hazards phenomena are characterized by granular flows over complex natural
terrains, which are challenging to be simulated numerically. In this paper, we propose a …

A large number of slope movements occur in China annually. Especially, fatal landslides are
the most hazardous, causing serious fatalities and significant socio-economic losses. In this …

Rainfall with heavy intensity and long duration is a main inducing factor that triggers
landslides on anti-inclined rock slopes. Numerous interbedded anti-inclined rock (IAR) …

Dynamic friction degradation of the sliding surface in large earthquake-triggered landslides
is widely assumed, especially for high-speed and long run-out landslides. But there are few …