Results 91 to 100 of about 69,642 (315)

Frequency dependent attenuation of seismic waves for Delhi and surrounding area, India

open access: yesAnnals of Geophysics, 2015
The attenuation properties of Delhi & surrounding region have been investigated using 62 local earthquakes recorded at nine stations. The frequency dependent quality factors Qa (using P-waves) and Qb (using S-waves) have been determined using the ...
Babita Sharma   +4 more
doaj   +1 more source

Seismology - Responsibilities and requirements of a growing science. Part 2 - problems and prospects [PDF]

open access: yes
Theoretical and applied seismology, earthquake engineering, earth structure, industrial uses, facilities, and underground nuclear explosion ...

core   +1 more source

Nonstationary Stochastic Simulation of Strong Ground-Motion Time Histories : Application to the Japanese Database [PDF]

open access: yes, 2012
For earthquake-resistant design, engineering seismologists employ time-history analysis for nonlinear simulations. The nonstationary stochastic method previously developed by Pousse et al. (2006) has been updated.
Bonilla, Luis Fabian   +2 more
core   +2 more sources

Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography

open access: yesJournal 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   +3 more
wiley   +1 more source

Building damages in Deyang city by the 2008 Wenchuan earthquake

open access: yesGeodesy and Geodynamics, 2011
The Ms8.0 Wenchuan earthquake in 2008 caused huge casualties, economic losses, and building damages, which are analyzed. The results show that damages of houses designed according to the current seismic code were significantly smaller than those without ...
Wang Qiuliang   +4 more
doaj   +1 more source

Magneto-seismology of solar atmospheric loops by means of longitudinal oscillations

open access: yes, 2012
There is increasingly strong observational evidence that slow magnetoacoustic modes arise in the solar atmosphere. Solar magneto-seismology is a novel tool to derive otherwise directly un-measurable properties of the solar atmosphere when ...
Dymova   +4 more
core   +1 more source

FocoNet: Transformer‐Based Focal‐Mechanism Determination

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Traditional focal‐mechanism determination primarily relies on fitting the first‐motion polarities with grid‐search algorithms. We developed a machine‐learning model, FocoNet, to include more seismic information into focal mechanism determination.
Xiaohan Song   +3 more
wiley   +1 more source

Ionospheric disturbances around the time of the Ms7.0 Lushan earthquake

open access: yesGeodesy and Geodynamics, 2013
Variations of Vertical Total Electron Content (VTEC) in the ionosphere are investigated around the time of the Ms7. 0 Lushan earthquake. A time-series analysis shows an anomalous VTEC increase 15 days before as well as some anomalous VTEC decreases 5 ...
Zhou Yiyan   +4 more
doaj   +1 more source

EU-NICE, Eurasian University Network for International Cooperation in Earthquakes [PDF]

open access: yes, 2012
Despite the remarkable scientific advancements of earthquake engineering and seismology in many countries, seismic risk is still growing at a high rate in the world’s most vulnerable communities.
Braga, F.   +20 more
core   +1 more source

An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields

open access: yesJournal 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

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