[HTML][HTML] Landslide susceptibility and risk analysis in Benighat Rural Municipality, Dhading, Nepal

G Dhungana, R Ghimire, R Poudel, S Kumal - Natural Hazards Research, 2023 - Elsevier
The complex geology and undulating terrain made Nepal vulnerable to natural disasters like
landslides. Benighat-Rorang Rural Municipality (RM), in the Dhading district of Nepal's …

[HTML][HTML] Enhancing landslide susceptibility map** incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China

L Yu, Y Wang, B Pradhan - Geoscience Frontiers, 2024 - Elsevier
Different types of landslides exhibit distinct relationships with environmental conditioning
factors. Therefore, in regions where multiple types of landslides coexist, it is required to …

Performance comparison of landslide susceptibility maps derived from logistic regression and random forest models in the Bolaman Basin, Türkiye

Z Kaya Topaçli, AK Ozcan, C Gokceoglu - Natural Hazards Review, 2024 - ascelibrary.org
Landslides often cause significant economic and human losses, and therefore landslide
susceptibility map** (LSM) has become increasingly important. Accurate assessment of …

Bivariate landslide susceptibility analysis: clarification, optimization, open software, and preliminary comparison

L Li, H Lan - Remote Sensing, 2023 - mdpi.com
Bivariate data-driven methods have been widely used in landslide susceptibility analysis.
However, the names, principles, and correlations of bivariate methods are still confused. In …

Proposed vulnerability assessment model for masonry buildings on slow-moving landslides based on physical models and field observations

Q Chen, R Macciotta, L Chen, K Yin, L Gui… - Bulletin of Engineering …, 2023 - Springer
The collection of relevant information about the vulnerability of infrastructure damaged by
landslides is not an easy task due to the existence of several compounding factors and …

Landslide susceptibility map** using multi-criteria decision-making (MCDM), statistical, and machine learning models in the Aube Department, France

A Jari, A Khaddari, S Hajaj, EM Bachaoui… - Earth, 2023 - mdpi.com
Landslides are among the most relevant and potentially damaging natural risks, causing
material and human losses. The department of Aube in France is well known for several …

Physical model experimental study on the infrasound characteristics of bedding slide in rock slope

Q Chen, D Jia, Y Sun, Q **e, F Xu, R Zhou, W Peng… - Applied Acoustics, 2025 - Elsevier
The main focus and challenge of landslide research is always the formation mechanism of
bedding rock landslide. Preventing and controlling large-scale landslide is difficult due to …

Enhancing landslide susceptibility modelling through a novel non-landslide sampling method and ensemble learning technique

C Zhou, Y Wang, Y Cao, RP Singh, B Ahmed… - Geocarto …, 2024 - Taylor & Francis
In recent years, several catastrophic landslide events have been observed throughout the
globe, threatening to lives and infrastructures. To minimize the impact of landslides, the …

Hydrochemical assessment of groundwater with special emphasis on fluoride in parts of Punjab and fluoride prediction using GIS and ML

K Khusulio, NR Sharma, IC Das, RK Setia… - Environmental Earth …, 2024 - Springer
The study focuses on assessing groundwater quality, with a special emphasis on fluoride
contamination, in the Muktsar, Bathinda, and Moga of Punjab, India. Groundwater being a …

[HTML][HTML] Landslide susceptibility assessment of the Wanzhou district: Merging landslide susceptibility modelling (LSM) with InSAR-derived ground deformation map

C Zhou, L Gan, Y Cao, Y Wang, S Segoni, X Shi… - International Journal of …, 2025 - Elsevier
The prevalent catalog-based Landslide Susceptibility Modelling (LSM) operates under the
assumption that future landslide occurrences mirror past and current patterns. Due to …