Results 81 to 90 of about 953 (196)

DataSheet1_Customization of a deep neural network using local data for seismic phase picking.DOCX

, 2023
Deep-learning (DL) pickers have demonstrated superior performance in seismic phase picking compared to traditional pickers. DL pickers are extremely effective in processing large amounts of seismic data.
Seongryong Kim (5109152), Yoontaek Hong (17585871), Dong-Hoon Sheen (11328831), Ah-Hyun Byun (17585874)   +3 more
core   +1 more source

OBS Data Mining Reveals Seismic Structure and Dynamics of the Oceanic Blanco Transform Fault, Northeast Pacific

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract Deformation along oceanic transform faults is partitioned between seismic and aseismic slip, controlled by lithology, thermal structure, and fluid circulation. We analyze one year of data from a 54‐station ocean bottom seismometer network deployed across the Blanco Transform Fault (BTF), Northeast Pacific.
Cyril Journeau, Amanda M. Thomas, Rachel E. Abercrombie, Brenton W. Hirao, Mingqi Liu, Václav Kuna   +5 more
wiley   +1 more source

Along‐Strike Seismic Structure of the Andreanof Aleutian Arc Segment and Implications for the Formation of Continental Crust

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract Crust formed in volcanic arcs is accreted to continents over geologic time, serving as the source material for new continental crust in Earth's present and recent past. Geochemically, arcs are found to be significantly more mafic than bulk continental crust.
Hannah F. Mark, Daniel Lizarralde, Donna J. Shillington, Valeria Cortés‐Rivas, Mark D. Behn   +4 more
wiley   +1 more source

Development of an adaptive multi-method algorithm for automatic picking of first arrival times: application to near surface seismic data

, 2018
International audienceAccurate picking of first‐arrival times is important in many seismic studies, particularly in seismic tomography and reservoirs or aquifers monitoring. Many techniques have been developed, mainly for seismological purposes, in order
Schneider, Ana, Christian Camerlynck, Camerlynck, Christian, Khalaf, Amin, Florsch, Nicolas, Ana Schneider, Nicolas Florsch, Amin Khalaf   +7 more
core   +1 more source

Multi‐Scale Rate‐ and Roughness‐Dependent Frictional Constitutive Law and Dynamic Earthquake Sequence Simulation

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract The physical mechanisms that govern the multi‐scale source properties of earthquakes, such as fracture energy scaling, where the dynamic energy dissipation of earthquakes scales with fault slip, remain debatable. We introduced the rate‐ and roughness‐dependent friction (RRF) law which accounts for the multi‐scale roughness evolution of the ...
Reiju Norisugi, Hiroyuki Noda
wiley   +1 more source

A Deep Learning Framework for Peak Ground Velocity Prediction Using Multi‐Station Velocity Waveforms: The Taiwan Transformer Shaking Alert Model (TT‐SAM)

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby enhance the practical utility and accuracy of the ...
Yu‐Heng Chen, Chung‐Han Chan, Chieh‐Chen Chang, Kuo‐Fong Ma   +3 more
wiley   +1 more source

Towards Near-Real-Time Seismic Phase Recognition, Event Detection, and Location with Deep Neural Networks in Volcanic Area of Campi Flegrei

Applied Sciences
The real-time phase picking, detection, and location of seismic events is a crucial challenge for monitoring in densely populated volcanic areas. In such contexts, low-magnitude events may escape traditional detection methods due to high levels of ...
Pasquale Cantiello, Roberta Esposito, Alessandro Di Filippo, Rosario Peluso   +3 more
doaj   +1 more source

Source Parameters of the 1906 Manas (Mw 7.7), 1944 Xinyuan (Mw 7.2) and 1812 Nilke Earthquakes and Seismotectonics of the Borohoro Shan, Western China

Tectonics, Volume 45, Issue 6, June 2026.
Abstract The 1906 Manas Earthquake is the largest earthquake recorded in the Borohoro Shan (BRS) since 1900. The reported magnitude ranges from 7.2 to 8.3, but uncertainties remain regarding its size, mechanism, and responsible fault. Similar confusion exists for the 1812 Nilke and 1944 Xinyuan Earthquakes, the only other Mw > 7 earthquakes in the NE ...
C.‐H. Tsai, G. Kulikova, F. Krüger, R. T. Walker   +3 more
wiley   +1 more source

Unsupervised Deep Representation Learning for Infrasound Phase Identification

Earth and Space Science, Volume 13, Issue 6, June 2026.
Abstract Infrasound phase identification is challenging because atmospheric variability strongly influences signal propagation on short timescales that are not resolved by standard atmospheric models. While traditional approaches rely on propagation modeling and array‐derived parameters, recent work suggests that waveform structure itself encodes ...
Miro Ronac Giannone, Stephen Arrowsmith, Gil Averbuch   +2 more
wiley   +1 more source

Automatic seismic phase picking and consistent observation error assessment: application to the Italian seismicity

, 2017
Accuracy of seismic phase observation and consistency of timing error assessment define the quality of seismic waves arrival times. High-quality and large data sets are prerequisites for seismic tomography to enhance the resolution of crustal and upper ...
Giardini, D., Di Stefano, R., Kissling, E., Aldersons, F., Baccheschi, P., Chiarabba, C.   +5 more
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