Aftershock Forecasting
Aftershocks can compound the impacts of a major earthquake, disrupting recovery efforts
and potentially further damaging weakened buildings and infrastructure. Forecasts of the …
and potentially further damaging weakened buildings and infrastructure. Forecasts of the …
Performance of AI‐Based Phase Picking and Event Association Methods after the Large 2023 7.8 and 7.6 Türkiye Doublet
On 6 February 2023, a devastating earthquake doublet consisting of M w 7.8 and 7.6 events
separated by about 9 hr struck the southeastern part of Türkiye. The developing aftershock …
separated by about 9 hr struck the southeastern part of Türkiye. The developing aftershock …
A bayesian merging of earthquake magnitudes determined by multiple seismic networks
We introduce a Bayesian algorithm designed to integrate earthquake magnitudes of the
same type reported by various seismic networks, aiming to create unified and standardized …
same type reported by various seismic networks, aiming to create unified and standardized …
Detection of hidden earthquakes after the 2011 Tohoku earthquake by automatic hypocenter determination combined with machine learning
K Tamaribuchi, S Kudo, K Shimojo, F Hirose - Earth, Planets and Space, 2023 - Springer
Abstract After the 2011 M w 9.0 Tohoku earthquake, seismicity became extremely active
throughout Japan. Despite enormous efforts to detect the large number of earthquakes …
throughout Japan. Despite enormous efforts to detect the large number of earthquakes …
High‐resolution seismicity and ground motion variability across the highly locked southern Anninghe fault with dense seismic arrays and machine learning techniques
Fault activity and structure are important factors for the assessment of seismic hazards. The
Anninghe fault is one of the most active strike‐slip faults in southwestern China but has been …
Anninghe fault is one of the most active strike‐slip faults in southwestern China but has been …
Deep learning phase pickers: how well can existing models detect hydraulic-fracturing induced microseismicity from a borehole array?
Deep learning (DL) phase picking models have proven effective in processing large
volumes of seismic data, including successfully detecting earthquakes missed by other …
volumes of seismic data, including successfully detecting earthquakes missed by other …
(Re) Discovering the Seismicity of Antarctica: A New Seismic Catalog for the Southernmost Continent
AF Peña Castro, B Schmandt… - Seismological …, 2025 - pubs.geoscienceworld.org
We apply a machine learning (ML) earthquake detection technique on over 21 yr of seismic
data from on‐continent temporary and long‐term networks to obtain the most complete …
data from on‐continent temporary and long‐term networks to obtain the most complete …
Distinct Yet Adjacent Earthquake Sequences near the Mendocino Triple Junction: 20 December 2021 6.1 and 6.0 Petrolia, and 20 December 2022 6.4 …
CE Yoon, DR Shelly - The Seismic Record, 2024 - pubs.geoscienceworld.org
Two earthquake sequences occurred a year apart at the Mendocino Triple Junction in
northern California: first the 20 December 2021 M w 6.1 and 6.0 Petrolia sequence, then the …
northern California: first the 20 December 2021 M w 6.1 and 6.0 Petrolia sequence, then the …
Making Phase‐Picking Neural Networks More Consistent and Interpretable
Improving the interpretability of phase‐picking neural networks remains an important task to
facilitate their deployment to routine, real‐time seismic monitoring. The popular phase …
facilitate their deployment to routine, real‐time seismic monitoring. The popular phase …
Deep learning-based earthquake catalog reveals the seismogenic structures of the 2022 MW 6.9 Chihshang earthquake sequence
Abstract On 18 September 2022, the MW 6.9 Chihshang earthquake struck the south half of
the Longitudinal Valley, Taiwan, and caused severe damage. A precise and rapid report for …
the Longitudinal Valley, Taiwan, and caused severe damage. A precise and rapid report for …