Results 51 to 60 of about 62,234 (158)

Chong-Ruei/Landslides: Landslides

open access: yes, 2023
Landslides ...
Chong-Ruei
core   +1 more source

Developing conceptual models for the recognition of coseismic landslides hazard for shallow crustal and megathrust earthquakes in different mountain environments – an example from the Chilean Andes [PDF]

open access: yes, 2020
Landslides represent the most frequent geological hazard in mountainous environments. Most notably, landslides are a major source of fatalities and damage related with strong earthquakes. The main aim of this research is to show through three-dimensional
Sepúlveda, S.A.   +9 more
core   +1 more source

Thermal and Structural Signatures Associated With Subducted Seamounts in Hyuga‐nada and Off Cape Muroto, Southwest Japan

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 9, September 2026.
Abstract We present heat flow estimates beneath the forearc slopes off Hyuga‐nada and Cape Muroto in the Nankai Trough, where the Philippine Sea plate subducts beneath the southwestern Japan. Using seismic reflection data, we identified Bottom Simulating Reflectors and derived heat flow ranging from 20 to >140 mW/m2.
Masataka Kinoshita   +4 more
wiley   +1 more source

Large Submarine Landslides on Continental Slopes: Geohazards, Methane Release, and Climate Change [PDF]

open access: yes, 2014
Submarine landslides on open continental slopes can be prodigious in scale. They are an important process for global sediment fluxes, and can generate very damaging tsunamis.
Michael Clare   +19 more
core   +2 more sources

Seismically-induced landslide probabilistic hazard mapping of Aba Prefecture and Chengdu Plain region, Sichuan Province, China for future seismic scenarios

open access: yesGeoscience Letters, 2023
The purpose of this work is to carry out seismically induced landslide probabilistic hazard mapping for future seismic scenarios of Aba Prefecture and Chengdu Plain region, Sichuan Province, China.
Xiaoyi Shao   +4 more
doaj   +1 more source

Ship‐Based GNSS Tsunami Detection: Pilot Network Demonstration

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 9, September 2026.
Abstract We demonstrate the potential for ship‐based GNSS systems to contribute to tsunami warning. We built a pilot network of 10 ships—8 commercial and 2 research vessels—equipped with a tsunami detection package consisting of a geodetic‐grade GNSS antenna and receiver, and satellite internet communications.
James H. Foster   +3 more
wiley   +1 more source

An Infinite Slope Model Considering Unloading Joints for Spatial Evaluation of Coseismic Landslide Hazards Triggered by a Reverse Seismogenic Fault: A Case Study of the 2013 Lushan Earthquake

open access: yes, 2023
Coseismic landslides pose a significant threat to the sustainability of both the natural environment and the socioeconomic fabric of society. This escalation in earthquake frequency has driven a growing interest in regional-scale assessment techniques ...
Shengwen Qi   +5 more
core   +1 more source

Probabilistic Hazard Assessment of Coseismic Elastic Surface Deformation for the Leech River Valley–Devil's Mountain Fault System Using Stochastic Source Modeling

open access: yesEarthquake Spectra, Volume 42, Issue 3, August 2026.
This study investigates the effect of incorporating the Devil's Mountain Fault (DMF) and its interaction with the Leech River Valley Fault (LRVF) on the elastic surface deformation hazard in and near the city of Victoria, British Columbia, Canada. Previously, the surface deformation hazard of the region has been characterized by considering the LRVF ...
Parva Shoaeifar, Katsuichiro Goda
wiley   +1 more source

Understanding historical earthquakes by mapping coseismic landslides in the Loess Plateau, northwest China

open access: yes, 2022
Locating the epicenters and quantifying the magnitudes of historical earthquakes are important, yet difficult, tasks. These tasks often entail estimating seismic intensities based on written documentation, which suffers from biases and uncertainties that
Jing Liu‐Zeng   +13 more
core   +1 more source

SlideDetect: Spatio‐Temporal Landslide Detection Using a Three‐Dimensional Convolutional Neural Network

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Landslides pose a serious and ongoing threat to both human lives and infrastructure worldwide; therefore, it is of interest to predict where and when landslides are likely to occur. Advances in machine learning techniques have spurred numerous studies aimed at estimating relative landslide propensity, but are limited to spatial (as opposed to ...
Max Sutton, Ben Mirus, George Hilley
wiley   +1 more source

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