The microbial‑induced carbonate precipitation (MICP), as an emerging biomineralization
technology mediated by specific bacteria, has been a popular research focus for scientists …

Reliable and accurate prediction of landslide displacement is essential for early warning
systems, as well as for disaster prevention and mitigation. Machine learning and deep …

This study investigates the coupled effect of the soil spatial variations and the disturbance of
ground surface on the existing tunnel using random finite difference method (RFDM). The …

Under the effect of long-term periodic fluctuation of reservoir water level, reservoir landslide
deforms continuously and the mechanical strength of slip zone varies accordingly, resulting …

Site characterization, which aims to characterize the subsurface stratigraphic configuration
and the associated geo-properties, has long been a significant challenge in geological and …

For the deformation and evaluation of reservoir accumulative landslide, it is of great
significance to study the strength characteristics of slip zone soils under rainfall and …

Geological uncertainty is common in nature due to complex depositional processes as one
layer appears to be randomly embedded in neighbouring layers. However, the geo …

In the existing landslide susceptibility prediction (LSP) models, the influences of random
errors in landslide conditioning factors on LSP are not considered, instead the original …

Frequent soil landslide events are recorded in the Three Gorges Reservoir area, China,
making it necessary to investigate the failure mode of such riverside landslides …

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