[HTML][HTML] Effect of slope angle on fractured rock masses under combined influence of variable rainfall infiltration and excavation unloading

X Li, Q Li, Y Wang, W Liu, D Hou, C Zhu - Journal of Rock Mechanics and …, 2024 - Elsevier
Intense precipitation infiltration and intricate excavation processes are crucial factors that
impact the stability and security of towering and steep rock slopes within mining sites. The …

Landslide susceptibility assessment using the analytic hierarchy process (AHP): A case study of a construction site for photovoltaic power generation in Yunxian …

J Zhou, S Tan, J Li, J Xu, C Wang, H Ye - Sustainability, 2023 - mdpi.com
China is actively promoting the construction of clean energy to reach its objective of
achieving carbon neutrality. However, engineering constructions in mountainous regions …

[HTML][HTML] Displacement prediction of landslides at slope-scale: Review of physics-based and data-driven approaches

W Gong, S Zhang, CH Juang, H Tang… - Earth-Science …, 2024 - Elsevier
In this paper, a critical review of the landslide displacement prediction is conducted, based
on a database of 359 articles on landslide displacement prediction published from 1985 to …

Analytical solutions for annual probability of slope failure induced by rainfall at a specific slope using bivariate distribution of rainfall intensity and duration

X Liu, Y Wang - Engineering Geology, 2023 - Elsevier
In risk assessment and management of rainfall-induced landslides, annual frequency or
probability of slope failure has often been used as a straightforward index for quantitatively …

The dynamic threat from landslides following large continental earthquakes

K Arrell, NJ Rosser, ME Kincey, TR Robinson, P Horton… - Plos one, 2024 - journals.plos.org
Earthquake-triggered landslides show three important characteristics: they are often
responsible for a considerable proportion of the damage sustained during mountain region …

Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions

H Jiang, Q Zou, Y Zhu, Y Li, B Zhou, W Zhou… - … Modelling & Software, 2024 - Elsevier
Abstract Machine learning has been widely applied to predict the spatial or temporal
likelihood of debris flows by leveraging its powerful capability to fit nonlinear features and …

Integrated approach for landslide risk assessment using geoinformation tools and field data in Hindukush mountain ranges, Northern Pakistan

NA Shah, M Shafique, M Ishfaq, K Faisal… - Sustainability, 2023 - mdpi.com
Landslides are one of the most recurring and damaging natural hazards worldwide, with
rising impacts on communities, infrastructure, and the environment. Landslide hazard …

Numerical investigation of the effects of compressibility of gassy groundwater (CGG) on the performance of deep excavations in Shanghai soft deposits

JB Li, MG Li, HB Chen, JJ Chen - Engineering Geology, 2023 - Elsevier
Although compressibility is a critical aspect of groundwater, research on this factor has been
primarily limited to laboratory tests and theoretical analyses. Thus, the effects of this property …

Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot

EL Harvey, ME Kincey, NJ Rosser, A Gadtaula… - Natural Hazards, 2024 - Springer
A review of landslide inventories provides an essential assessment of the state of
knowledge around landslide hazard and can guide the focus of future studies. This is …

Landslide susceptibility zonation mapping using geospatial technologies and multi criteria evaluation techniques in the upper Didessa sub-basin, Southwest Ethiopia

RS Mohammednur, KT Deribew, MB Moisa… - Geology, Ecology …, 2024 - Taylor & Francis
Landslides have a profound impact on landscape geology, resulting in extensive
devastation and loss of human lives. Mapping landslide susceptibility is crucial for effective …