Developing a hybrid deep learning model with explainable artificial intelligence (XAI) for enhanced landslide susceptibility modeling and management
Landslides in the Nainital district of Uttarakhand, India, pose a significant threat to human
communities and local ecosystems. This study aims to improve landslide susceptibility …
communities and local ecosystems. This study aims to improve landslide susceptibility …
[HTML][HTML] Land use changes and climate parameters assessments in a tropical highland region of Cameron Highlands, Malaysia
A Arumugam, MF Sigid, A Ab Rahman… - Journal of Water and …, 2024 - iwaponline.com
Tropical highland regions are susceptible to climate change and natural disasters due to
their geographical location and hilly terrain. The objectives of this study are to determine …
their geographical location and hilly terrain. The objectives of this study are to determine …
[HTML][HTML] Climate Change Impacts on Shallow Landslide Events and on the Performance of the Regional Shallow Landslide Early Warning System of Piemonte …
D Tiranti, C Ronchi - GeoHazards, 2023 - mdpi.com
Shallow landslides are one of the most dangerous gravitational phenomena. They are
responsible for more than 50% of causalities due to landslides in northwestern Italy in the …
responsible for more than 50% of causalities due to landslides in northwestern Italy in the …
Long-lasting intense Cut-off Lows to become more frequent in the Northern Hemisphere
A Mishra, D Maraun, R Schiemann, K Hodges… - 2024 - researchsquare.com
Abstract Cut-off Lows (COLs) are mid-latitude storms that are detached from the main
westerly flow. They tend to propagate slower than other mid-latitude storms and are often …
westerly flow. They tend to propagate slower than other mid-latitude storms and are often …