Landslide susceptibility shows the spatial likelihood of landslide occurrence in a specific
geographical area and is a relevant tool for mitigating the impact of landslides worldwide. As …

To ensure the continuous transmission of clean energy for electricity, transmission towers
often traverse geologically challenging terrains. This is particularly evident in the Salt Lake …

This study utilized artificial neural network (ANN) optimization techniques including
biography-based optimization (BBO), earthworm optimization (EWA), shuffled complex …

Abstract Beiliu City, Guangxi Zhuang Autonomous Region, China, like other karst landscape
areas, is also suffering from the threat of landslides. This research applied the circular …

Extreme rainfall events represent one of the main triggers of landslides. As climate change
continues to reshape global weather patterns, the frequency and intensity of such events are …

Landslide risk assessment (LRA) is crucial to develop sustainable risk reduction and
response measures. Although Southeast Bangladesh is prone to landslides, there is …

For decades, solutions to regional-scale landslide prediction have primarily relied on data-
driven models, which, by definition, are disconnected from the physics of the failure …

The current study sets out to explore yearly landslide susceptibility dynamics on slopes
regularly affected by fires. To do so, two yearly inventories have been generated, one for the …

Until now, a full numerical description of the spatio-temporal dynamics of a landslide could
be achieved only via physically based models. The part of the geoscientific community in …

Landslide spatial prediction studies predominantly focus on estimating the likelihood of
landslide occurrence by considering a set of geo-environmental factors. Nevertheless, most …