Results 141 to 150 of about 19,474 (278)

Geological geophysical and seismological investigations for earthquake hazard estimation in western Crete [PDF]

open access: yes, 2009
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The purpose of the thesis is the determination of potentially seismic active sources and of the dynamic response evaluation of surface and subsurface ...
Moisidi, Margarita
core  

High‐Resolution Tomography for the Upper‐Mantle Structure in North China by Full‐Waveform Inversion of Teleseismic P Wave and Its Codas

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract We investigate the structure and tectonic environment in the crust and upper mantle beneath the North China Craton (NCC) by conducting a full‐waveform inversion of teleseismic P and its coda waves from densely distributed broadband seismic stations. A high‐resolution model involving P‐ and S‐wave velocities as well as density is constructed by
Xuan Zhao   +4 more
wiley   +1 more source

Seismic random noise separation and suppression based on improved variational mode decomposition via grey wolf optimization.

open access: yesPLoS ONE
Seismic noise separation and suppression is an important topic in seismic signal processing to improve the quality of seismic data recorded at monitoring stations.
Zhenjing Yao   +4 more
doaj   +1 more source

Evolution of Coupled Seismic‐Aseismic Slip During the 2025 Mw 6.8 Sanriku‐Oki, Japan, Megathrust Sequence

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract On 9 November 2025, a Mw 6.8 Sanriku‐Oki earthquake struck a Japan Trench segment with inferred recurrent aseismic slip and Mw ∼7 earthquakes. Using S‐net seafloor data, we examine the preparatory and post‐mainshock evolution of this foreshock–mainshock–aftershock sequence.
Keisuke Yoshida
wiley   +1 more source

Multi-scale dual-path attention network for seismic background noise attenuation

open access: yesScientific Reports
The background noise in seismic records severely interferes with the extraction of effective reflection events, particularly in complex exploration environments such as deserts.
Li Han, Dongyan Wang, Feng Li
doaj   +1 more source

The Significance of Inherited Crustal Thickening in Surface Uplift of Hangai Dome in Central Mongolia

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract The Hangai Dome in central Mongolia represents one of the most prominent intracontinental uplifts, yet the relative contributions of crustal and mantle dynamics in sustaining its high topography remain unresolved. Here we jointly invert Rayleigh wave dispersion and receiver function data to constrain crustal and uppermost mantle structures ...
Yingkai Wu   +4 more
wiley   +1 more source

Magma Pathways Beneath the Klyuchevskoy Volcanic Group, Kamchatka, Revealed by a Machine‐Learning‐Based Earthquake Catalog

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Klyuchevskoy Volcanic Group (KVG) is one of the world's largest clusters of subduction‐zone volcanoes and hosts a complex trans‐crustal magmatic system. Using a machine‐learning–based detection workflow applied to data from the KISS seismic experiment in 2015–2016, we obtained an enhanced earthquake catalog for KVG volcano‐magmatic activity ...
Weifan Lu   +2 more
wiley   +1 more source

An Examination of Subsidence in North-East England due to the Dissolution of Sub-Surface Gypsum using the Shallow Seismic Reflection Technique [PDF]

open access: yes, 2009
Along a narrow swath from Nottingham through to Hartlepool, broad shallow depressions up to 100m in diameter and, more rarely, scarp-edged subsidence hollows are observed.
Sargent, Colin
core  

Self-supervised multi-stage deep learning network for seismic data denoising [PDF]

open access: yes
Seismic data denoising is a critical process usually applied at various stages of the seismic processing workflow, as our ability to mitigate noise in seismic data affects the quality of our subsequent analyses.
Ravasi, Matteo   +2 more
core   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1811-1827, 25 July 2026.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini   +2 more
wiley   +1 more source

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