Results 51 to 60 of about 175,835 (218)

SEM-Newmark Sliding Mass Analysis for Regional Coseismic Landslide Hazard Evaluation: A Case Study of the 2016 Kumamoto Earthquake

, 2022
Coseismic landslides have been observed to cause severe damage during many historic earthquakes. Numerical simulation of fault rupture process, wave propagation and triggering of landslides considering realistic topography and geological conditions helps
Chen, Zhengwei, Wang, Gang
core   +1 more source

Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal [PDF]

, 2022
Coseismic landslides represent the first stage of a broader cascading sequence of geohazards associated with high-magnitude continental earthquakes, with the subsequent remobilisation of coseismic landslide debris posing a long-term post-seismic legacy ...
Dammar Singh Pujara, Swirad, SM, Robinson, TR, Kincey, ME, Nick J. Rosser, Katherine Arrell, Mark E. Kincey, Densmore, AL, Shrestha, R, Tom R. Robinson, Shrestha, Ram, Swirad, Zuzanna M., Alexander L. Densmore, Oven, KJ, Pascal Horton, Oven, Katie, Ram Shrestha, Arrell, Katherine, Rosser, NJ, Pujara, Dammar Singh, Pujara, DS, Rosser, Nick J., Zuzanna M. Swirad, Katie J. Oven, Densmore, Alexander L., Horton, Pascal, Robinson, Tom R., Oven, Katie J., Kincey, Mark E., Arrell, K, Singh Pujara, Dammar, Horton, P, Robinson, Tom, Rosser NJ, Arrell K, Swirad ZM, Densmore AL, Oven KJ, Singh Pujara D, Kincey ME, Shrestha R, Horton P   +41 more
core   +2 more sources

AutoGluon: A revolutionary framework for landslide hazard analysis

Natural Hazards Research, 2021
Landslide hazard analysis is important to mitigate possible landslide hazards and ensure sustainable development of society and economy. Integrating machine learning models into landslide hazard analysis is a common but challenging task for researchers ...
Wenwen Qi, Chong Xu, Xiwei Xu
doaj   +1 more source

Full seismic waveform analysis combined with transformer neural networks improves coseismic landslide prediction

Communications Earth & Environment
Seismic waves can shake mountainous landscapes, triggering thousands of landslides. Regional-scale landslide models primarily rely on shaking intensity parameters obtained by simplifying ground motion time-series into peak scalar values. Such an approach
Ashok Dahal, H. Tanyaș, Luigi Lombardo
semanticscholar   +1 more source

GIS-based coseismic landslide susceptibility assessment using ensemble learning approach: a case of the 2017.8.8 Jiuzhaigou earthquake event

IOP Conference Series: Earth and Environment, 2021
Exploring more effective landslide susceptibility assessment methods play an important role in mitigating landslide effects. This paper aims to compare the performance of different popular ensemble learning models that combined with GIS system to assess ...
Chuan-Jie Xi, Xie-Wen Hu, Kun He, Bo Liu
semanticscholar   +1 more source

Coseismic or Landslide? The source of the 2018 Palu Tsunami

, 2019
On 28 September, 2018, Indonesia was struck by a MW 7.5 strike-slip earthquake. An unexpected tsunami followed, inundating nearby coastlines leading to extensive damage. Given the traditionally non-tsunamigenic mechanism, it is important to ascertain if the source of the tsunami is indeed from coseismic deformation, or something else, such as shaking ...
Milliner, Christopher, Xu, Xiaohua, Melgar, Diego, Williamson, Amy   +3 more
openaire   +3 more sources

Tracking Slow‐Moving Landslide Responses to the 2023 Kahramanmaraş Earthquake With InSAR

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.
Abstract Strong earthquakes can have a dual impact on the slow‐moving landslide budget of a landscape by either triggering new actively deforming hillslopes or stabilizing existing ones. However, their regional‐scale influence on hillslope processes remains poorly understood because of limited observational coverage and the masking effects of long ...
Ashok Dahal, Hakan Tanyaş, Alexander L. Handwerger, Luigi Lombardo, Eric J. Fielding   +4 more
wiley   +1 more source

Coseismic Shallow Landslide Distributions Reveal Patterns of Regolith Thickness in High Mountains

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.
Abstract Earthquake‐triggered landslides are a major source of sediment mobilization in steep mountain landscapes, yet the controls that organize regional patterns of coseismic shallow failure remain incompletely understood. Because shallow landslides occur within regolith, their initiation and magnitude depend strongly on near‐surface material ...
Suryodoy Ghoshal, Sarah J. Boulton, Tristram C. Hales, Georgina Bennett, Amy Beswick, Joshua N. Jones, Shaun Lewin, Zoë K. Mildon, Martin Stokes, Michael R. Z. Whitworth, Benjamin Campforts   +10 more
wiley   +1 more source

Active Normal Fault Segmentation and Linkage in the Umbria‐Marche Apennines (Italy): Insights From 3D Structural Modeling

Tectonics, Volume 45, Issue 10, October 2026.
Abstract Normal‐fault growth, segmentation, and their relationships with crustal inheritance and rheological layering are investigated in a post‐thrusting setting of the southern sector of the Northern Apennines. We integrate 3D modeling with gravity, thermal, and seismological constraints to reconstruct the geometry and evolution of the main normal ...
M. Pedini, F. Cella, C. Di Celma, S. Mazzoli, P. P. Pierantoni, N. A. Pino, T. Volatili, E. Tondi, M. Zambrano   +8 more
wiley   +1 more source

Regional-Scale Coseismic Landslide Hazard Modeling and Consequence Analysis [PDF]

, 2017
Thesis (Ph.D.)--University of Washington, 2017Earthquake-induced, or coseismic, landslides occur in great number during moderate to large (>M5) earthquakes.
Grant, Alex
core