Landslide susceptibility map** (LSM) has been widely used as an important reference for
development and construction planning to mitigate the potential social‐eco impact caused …

Spatial variability of soil properties was rarely taken into account directly in traditional slope
stability analyses, rather some “average” or suitably “pessimistic” properties are assumed to …

Conventional supervised and unsupervised machine learning models used for landslide
susceptibility prediction (LSP) have many drawbacks, such as an insufficient number of …

Landslide susceptibility analysis can provide theoretical support for landslide risk
management. However, some susceptibility analyses are not sufficiently interpretable …

Riverside landslides present a significant geohazard globally, posing threats to
infrastructure and human lives. In line with the United Nations' Sustainable Development …

Due to the similarity of conditioning factors, the aggregation feature of landslides and the
multi-temporal landslide inventory, the spatial and temporal effects of landslides need to be …

This paper aims to explore the influences of different attribute interval numbers (AINs) in the
frequency ratio (FR) analysis of continuous environmental factors and the influences of …

The adsorption capacity of oyster shell powders (SPs) and the adsorption mechanism of
heavy metal ions (HMs; ie, cadmium ions Cd2+ and lead ions Pb2+) on SPs are discussed …

Landslides are affected not only by their own environmental factors, but also by the
neighborhood environmental factors and the landslide clustering effect, which are …

Site investigation programs (eg, boreholes) are crucial in characterizing soil properties and
stratigraphic configurations. However, the traditional borehole patterns are generally of …