Global warming has brought extensive and far-reaching impacts on human life and
production. A pumped hydro energy storage contributes to the large-scale development of …

The objective of this research is to examine the possible impacts of climate change on
landslide susceptibility in Iran. To accomplish this, 15 independent variables including 11 …

Abstract Machine learning models are gradually replacing traditional techniques used for
landslide susceptibility assessment. This study aims to comprehensively compare multiple …

The increasing availability of long-term observational data can lead to the development of
innovative modelling approaches to determine landslide triggering conditions at regional …

At first glance, assessing future landslide‐exposed population appears to be a
straightforward task if landslide hazard estimates, climate change, and population …

This paper presents a new hybrid ensemble modeling method called BBO-DE-STreeEns for
land-slide susceptibility mapping in Than Uyen district, Vietnam. The method uses …

Understanding how rainfall events influence the pattern and magnitude of landslide
response is an important research focus from geomorphological and hazard planning …

Hydro-morphological processes (HMP, any natural phenomenon contained within the
spectrum defined between debris flows and flash floods) pose a relevant threat to …

Rain-induced loess landslides are especially prevalent in the Chinese Loess Plateau (CLP).
Some became fatal landslide disasters, leading to numerous casualties and significant …

Landslides are one of the most common geological hazards worldwide, especially in
Sichuan Province (Southwest China). The current study's main purposes are to explore the …