Results 81 to 90 of about 3,126 (205)

Landslide Susceptibility Prediction System

Abstract The research presents an innovative landslide susceptibility prediction system that harnesses the power of machine learning and a data-driven approach. This system relies on a robust dataset encompassing five crucial parameters: slope, elevation, precipitation, soil type, and rainfall.
Kuldeep Vayadande, Siddharth Sadake, Siddhi Sangwai, Manasvi Patil, Sandesh Kadam, Shashank Daga   +5 more
openaire   +1 more source

Landslide susceptibility assessment using the frequency ratio model in the Mae Chan River watershed, northern Thailand

Quaternary Science Advances
A landslide is a significant geological hazard that impacts society, the environment, and local infrastructures. The Mae Chan River watershed, a watershed that is surrounded by high erodible mountains, is particularly vulnerable to landslides.
Pichawut Manopkawee, Niti Mankhemthong
doaj   +1 more source

A Framework for Quantifying Diverse Multi‐Hazard Interactions to Enhance Climate Resilience

Climate Resilience and Sustainability, Volume 5, Issue 2, December 2026.
A generalized framework for quantifying multi‐hazard interactions is developed and applied across four European regions. The framework captures regional hazard dependencies and joint probabilities, with methods tailored to different temporal scales. Results indicate increasing multi‐hazard event frequency under future climate scenarios, highlighting ...
Mohammed Sarfaraz Gani Adnan, Christopher J. White, Eleonora Perugini, Esther Hlíðar Jensen, Talfan Barnie, Natalia Castillo, Marcello Arosio, Enrico Tubaldi, Matthew James Roberts, Marco Gaetani, Younghwa Cha, Frederiek Sperna Weiland, Mario Martinelli, John Douglas   +13 more
wiley   +1 more source

Landslide Susceptibility Assessment in Hong Kong with Consideration of Spatio-Temporal Consistency

Applied Sciences
Landslide susceptibility is crucial for assessing the probability and severity of landslide disasters in a region. Previous studies have focused on static landslide susceptibility, using landslide assessment factor data from varying years, making it ...
Agen Qiu, Qinglian Wang, Yajun Chen, Kunwang Tao, Xiangyu Peng, Wangjun He, Lifeng Gao, OU’er Geli, Fuhao Zhang   +8 more
doaj   +1 more source

Sustainable and Seismically Resilient Confined Masonry: Global Progress in Research and Design Practice

Earthquake Spectra, Volume 42, Issue 4, November 2026.
Modern confined masonry (CM) construction consists of masonry walls confined by reinforced concrete (RC) tie‐columns and tie‐beams. When built correctly, CM buildings have shown good performance in earthquake's shaking. Even though CM construction has been practised for almost a century in some Latin American countries, its use and standardisation are ...
Ahsana Parammal Vatteri, Svetlana Brzev, Dina D’Ayala, Sergio M. Alcocer, Sebastian Kaminski, Vaibhav Singhal, Aidarbek Stamov, Anna Pavan, Daniel Quiun, Dexter Lo, Erwin Lim, Hemant B. Kaushik, Juan José Pérez‐Gavilán, Julian Thamboo, Mahdi Eghbali, Marcos M. Chávez, Qaisar Ali, Ramesh Guragain, Sofia Andrade, Tim Hart, Ulugbek Begaliev, Yunita Idris, Radu Vacareanu, Daniar Abdykalykov   +23 more
wiley   +1 more source

Benchmarking data handling strategies for landslide susceptibility modeling using random forest workflows

Artificial Intelligence in Geosciences
Machine learning (ML) algorithms are frequently used in landslide susceptibility modeling. Different data handling strategies may generate variations in landslide susceptibility modeling, even when using the same ML algorithm.
Guruh Samodra, Ngadisih, Ferman Setia Nugroho   +2 more
doaj   +1 more source

Deep Learning–Based Fusion of Multi‐Source Precipitation in Complex Terrain: A Case Study Over Chongqing, China

Geoscience Data Journal, Volume 13, Issue 4, October 2026.
Spatial distribution of hourly cumulative precipitation from station observations (a), GPM IMERG (b), SWAN QPE (c), GModel (d), QModel (e), and GQModel (f) during the 27 July 2023 heavy rainfall event over Chongqing, China. ABSTRACT Accurately capturing the spatial distribution of precipitation over complex terrain remains a major challenge in ...
Rong Mu, Xinyue Li, Jun Yu, Hongping Gu, Chengzhi Deng   +4 more
wiley   +1 more source

Effects of landslide inventories uncertainty on landslide susceptibility modelling

, 2009
info:eu-repo/semantics ...
Zêzere, José, Neves, Mário, Henriques, C. S., Garcia, Ricardo, Oliveira, Sérgio, Piedade, Aldina   +5 more
openaire   +1 more source

Shallow Landslides Align With Atmospheric Rivers in Coastal Steeplands

Geophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract Rapid, shallow landslides in coastal mountains are triggered by extreme precipitation, shaping topography and impacting human settlements. Using an inventory of >700 landslides mapped from satellite imagery (2009–2024) and an atmospheric river database (1981–2019), this study documents linkages between climatic drivers and the topographic ...
Joshua J. Roering, Eliza R. Lawrence, Ries Plescher, Maryn A. Sanders, Deanna Nash, Annette I. Patton, Adelaide Johnson, Aaron Jacobs, Nicolas W. Mathews, Lia Salomon, Stephen McKay, Wolfgang Schwanghart, William Struble, Quinn Aboudara   +13 more
wiley   +1 more source

Linking Extreme Precipitation to Pluvial Hydrometeorological Disasters in Southeast Asia Using a Long‐Term Event Database

Geophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract Frequent pluvial hydrometeorological disasters in Southeast Asia (SEA) threaten lives and property, yet the region lacks a unified disaster data set for risk management and research. This study develops a provincial‐level data set integrating multi‐source hazard reports with precipitation data and identifies empirical rainfall reference values
Junjun Li, Jingyu Wang, Hui Su, Xianfeng Wang, Edward Park, Raju Pathak, Dung Duc Tran, Luojie Dong   +7 more
wiley   +1 more source