Results 91 to 100 of about 953 (196)

Integration of Machine learning and equal differential time method for enhanced hypocenter localization in earthquake early warning systems: application to dense seismic arrays in Taiwan

Earth, Planets and Space
The Earthquake Early Warning System (EEWS) acts as a vital instrument for reducing seismic risks in regions with high seismic vulnerability. A rapid and accurate hypocenter estimation is pivotal for the EEWS, providing the groundwork for more reliable ...
Jia-Xiang Lian, Wu-Yu Liao, En-Jui Lee, Da-Yi Chen, Po Chen   +4 more
doaj   +1 more source

Reconstructing the Exhumation and Paleo‐Earthquake History of a Submarine Normal Fault From Preserved Markers at the Seafloor (Roseau Fault, Lesser Antilles, France)

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 6, June 2026.
Abstract Assessing seismic and tsunami hazards along coastlines requires understanding past earthquakes and their recurrence along active submarine faults. Subaqueous paleoseismology commonly relies on sediment cores and seismic reflection data, but these methods may be limited by local site conditions or data quality.
Frédérique Leclerc, Jérémy Billant, Chloé Seibert, Javier Escartin, Nathalie Feuillet, Alex Hughes, Sabine Schmidt, Laurence Le Callonnec   +7 more
wiley   +1 more source

Transformation of Refractory Oceanic Lithospheric Mantle by Reactive Melt Infiltration: An Experimental Study on the Roles of Temperature, Melt Volume and Ascent Velocity

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract Reactive melt infiltration critically modifies the physical and chemical properties of the oceanic lithospheric mantle (OLM). This process, involving melt‐rock reactions and in situ crystallization, exhibits substantial spatial and temporal variability driven by melt volume and ascent velocity.
Yong‐Sheng Hou, Hong‐Yan Li, Chao Zhang, Yu Wang, Yi‐Gang Xu   +4 more
wiley   +1 more source

Grain‐Scale Heterogeneity in Fault Veins Influences Shear Rupture, Damage Distribution, and Microseismicity

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract Fault veins, mineral‐filled fractures within fault zones, exhibit substantial grain‐scale structural variation, yet, the mechanical consequences of this heterogeneity on fault deformation and seismicity remain poorly constrained. Here, we use the Discrete Element Method to investigate how grain‐scale heterogeneity in quartz veins, which are ...
Lie Kong, Nico Bigaroni, Bing Qiuyi Li, Qinxin Hu, Pathegama Gamage Ranjith, Junlong Shang   +5 more
wiley   +1 more source

Adapting Deep Learning Phase Detectors for Seismic Array Processing

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Deep learning (DL) has considerably advanced single‐station seismic phase detection, but its integration into seismic array processing remains largely unexplored. We evaluate three strategies for adapting the previously developed TPhaseNet detector for regional phase detection to array data: (a) ensemble detection through stacking of single ...
A. Köhler, T. Stangeland, S. Mæland, B. Dando   +3 more
wiley   +1 more source

Estimating picking errors in near-surface seismic data to enable their time-lapse interpretation on hydrosystems

, 2018
International audienceTime‐lapse applications of seismic methods have been recently suggested at the near‐surface scale to track hydrological properties variations due to climate, water level changes or permafrost thaw for instance.
Guerin, R., L. Bodet, M. Dangeard, R. Guérin, D. Jougnot, Longuevergne, Laurent, S. Pasquet, J. Thiesson, Thiesson, J., Jougnot, D., Dangeard, Marine, Bodet, L., Pasquet, S., L. Longuevergne   +13 more
core   +1 more source

Deep‐Learning‐Based Phase Picking for Volcano‐Tectonic and Long‐Period Earthquakes

Geophysical Research Letters
The application of deep‐learning‐based seismic phase pickers has surged in recent years. However, the efficacy of these models when applied to monitoring volcano seismicity has yet to be fully evaluated.
Yiyuan Zhong, Yen Joe Tan
doaj   +1 more source

Improving Seismic First Arrival Picking in Noisy Data: A Wavelet-Based Denoising Technique

Brazilian Journal of Geophysics
Accurate seismic first arrival picking is fundamental for geophysical interpretation and subsurface imaging. This study evaluates the performance of wavelet-based denoising techniques combined with the Translation-Invariant Shrinkage (TIS) algorithm to ...
Alireza Goudarzi, Shadi Veisi, Seyed Hadi Dehghan-Manshadi, Alireza Sandroos   +3 more
doaj   +1 more source

Improved Constraints on Andean Glaciations From the Lake Titicaca Continental Drilling Record

Paleoceanography and Paleoclimatology, Volume 41, Issue 6, June 2026.
Abstract Long sedimentary records from tropical lakes provide crucial archives for reconstructing the timing and extent of tropical alpine glaciations, yet robust chronologies beyond the radiocarbon limit (ca. 50 ka) remain scarce. Here, we refine the ca. 350 kyr chronology for Lake Titicaca (Peru‐Bolivia) using radiocarbon dating, optically stimulated
Victoria L. Todd, Timothy M. Shanahan, Daniel Stockli, Axel K. Schmitt, Steven Forman, Sherilyn C. Fritz, Paul A. Baker, Geoffrey O. Seltzer   +7 more
wiley   +1 more source

Divide and conquer: separating the two probabilities in seismic phase picking

Geophysical Journal International
SUMMARY There are two fundamental probabilities in the seismic phase picking process—the probability of the existence of a seismic phase (detection probability) and the probability associated with the phase arrival time estimation (timing probability).
Yongsoo Park, Alysha D Armstrong, William L Yeck, David R Shelly, Gregory C Beroza   +4 more
openaire   +1 more source