Results 71 to 80 of about 13,644 (204)

Landslide Activity in the European Alps ‐ Part 1: A Machine Learning Based Instrumental Catalog From the Analysis of Seismological Data

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract Landslides in the European Alps are a growing concern in the context of climate change. However, landslide catalogs for the European Alps remain incomplete, often lacking precise timing and containing few, if any, entries for remote areas.
Charlotte Groult, Clément Hibert, Jean‐Philippe Malet, Anthony Lomax, Floriane Provost   +4 more
wiley   +1 more source

Holocene Normal Faulting in the Southern Rocky Mountain Trench; Orogenic Collapse Modulated by Glacial Unloading?

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract The Southern Rocky Mountain Trench (SRMT) is a conspicuous valley in the eastern Canadian Cordillera. It lies above a sharp change in lithospheric strength and thickness and is occupied by a normal fault thought to have last been active in the Eocene.
T. Finley, E. Nissen, L. J. Leonard, J. F. Cassidy, V. Prush, B. Miller   +5 more
wiley   +1 more source

Evaluating Seismic Ambient Noise Techniques for Imaging Lava Tubes on the Moon

Journal of Geophysical Research: Planets, Volume 131, Issue 4, April 2026.
Abstract Detecting and characterizing lava tubes is a key objective of upcoming lunar missions. While evidence for their presence exists, their precise dimensions and depths remain uncertain. This study evaluates the potential of seismic ambient noise methods, such as seismic interferometry, H/V spectral ratios, distributed acoustic sensing (DAS), and ...
Sabrina Keil, Rok Sesko, Martin Schimmel, Heiner Igel, Philipp Reiss   +4 more
wiley   +1 more source

Modeling mountain building and the seismic cycle in the Himalaya of Nepal [PDF]

, 2000
A host of information is now available regarding the geological and thermal structure as well as deformation rate across the Himalaya of central Nepal.
Avouac, J. P., Cattin, R.
core   +1 more source

Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Physics‐informed neural networks (PINNs) integrate physical constraints with neural architectures and leverage their nonlinear fitting capabilities to solve complex inverse problems. Tomography serves as a classic example, aiming to reconstruct subsurface velocity models to improve seismic exploration.
Yonghao Wang, Zhuo Jia, Bowu Jiang, Wenkai Lu   +3 more
wiley   +1 more source

An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges. Therefore, we introduce a physics‐informed convolutional neural operator (CNO) (PICNO) to solve the Helmholtz equation efficiently.
X. Ma, T. Alkhalifah
wiley   +1 more source

Observations of the seasonality of the Antarctic microseismic signal, and its association to sea ice variability [PDF]

, 2011
International audienceSeismic noise spectra at all seismic stations display two peaks in the 1-20 s period band, called primary and secondary microseisms. They are caused by the coupling of ocean waves into Rayleigh waves. At most locations, microseismic
Grob, Mélanie, Maggi, Alessia, Stutzmann, Eléonore   +2 more
core   +4 more sources

Injection Induced Seismicity in Complex Fault Zone Architecture

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Modeling of injection‐induced seismicity plays a significant role in understanding the seismic risks associated with different anthropogenic activities including sub‐surface energy harvesting and CO2 ${\text{CO}}_{2}$ sequestration. Here we investigate multi‐cycle modeling of induced seismicity in a complex fault zone hosting a primary fault ...
Md Shumon Mia, Mohamed Abdelmeguid, Ahmed Elbanna   +2 more
wiley   +1 more source

Deep Learning‐Based 3D Microseismic Event Direct Location Using Simultaneous Surface and Borehole Data

Journal of Geophysical Research: Machine Learning and Computation
Microseismic monitoring is crucial for characterizing and assessing fracture systems developed during subsurface operations like geothermal reservoir development, CO2 sequestration, and hydraulic fracturing.
Yuanyuan Yang, Omar M. Saad, Tariq Alkhalifah   +2 more
doaj   +1 more source

Microseismicity-Based Modelling of Induced Fracture Networks in Unconventional Reservoirs

Fuels
A single planar hydraulic fracture is typically the primary component used to simulate hydraulic fracturing stimulation in conventional reservoirs. However, in ultra-low-permeability shale reservoirs, a large system of fracture networks must be generated
Tri Pham, Tan Bui-Thanh, Quoc Nguyen
doaj   +1 more source