Big data seismology

SJ Arrowsmith, DT Trugman, J MacCarthy… - Reviews of …, 2022 - Wiley Online Library
The discipline of seismology is based on observations of ground motion that are inherently
undersampled in space and time. Our basic understanding of earthquake processes and our …

Seismic and acoustic signatures of surficial mass movements at volcanoes

KE Allstadt, RS Matoza, AB Lockhart, SC Moran… - Journal of Volcanology …, 2018 - Elsevier
Surficial mass movements, such as debris avalanches, rock falls, lahars, pyroclastic flows,
and outburst floods, are a dominant hazard at many volcanoes worldwide. Understanding …

P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning

ZE Ross, MA Meier, E Hauksson - Journal of Geophysical …, 2018 - Wiley Online Library
Determining earthquake hypocenters and focal mechanisms requires precisely measured P
wave arrival times and first‐motion polarities. Automated algorithms for estimating these …

Automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform

SM Mousavi, CA Langston, SP Horton - Geophysics, 2016 - library.seg.org
Typical microseismic data recorded by surface arrays are characterized by low signal-to-
noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events …

Rapid earthquake association and location

M Zhang, WL Ellsworth… - Seismological …, 2019 - pubs.geoscienceworld.org
Rapid association of seismic phases and event location are crucial for real‐time seismic
monitoring. We propose a new method, named rapid earthquake association and location …

An end‐to‐end earthquake detection method for joint phase picking and association using deep learning

W Zhu, KS Tai, SM Mousavi, P Bailis… - Journal of Geophysical …, 2022 - Wiley Online Library
Earthquake monitoring by seismic networks typically involves a workflow consisting of phase
detection/picking, association, and location tasks. In recent years, the accuracy of these …

An earthquake detection and location architecture for continuous seismograms: Phase picking, association, location, and matched filter (PALM)

Y Zhou, H Yue, L Fang, S Zhou… - … Society of America, 2022 - pubs.geoscienceworld.org
We developed an earthquake detection and location architecture for continuous
seismograms that incorporates phase picking, phase association, location, and matched …

Automatic picking of direct P, S seismic phases and fault zone head waves

ZE Ross, Y Ben-Zion - Geophysical Journal International, 2014 - academic.oup.com
We develop a set of algorithms for automatic detection and picking of direct P and S waves,
as well as fault zone head waves (FZHW), generated by earthquakes on faults that separate …

An automatic microseismic or acoustic emission arrival identification scheme with deep recurrent neural networks

J Zheng, J Lu, S Peng, T Jiang - Geophysical Journal …, 2018 - academic.oup.com
The conventional arrival pick-up algorithms cannot avoid the manual modification of the
parameters for the simultaneous identification of multiple events under different signal-to …

[HTML][HTML] Seismicity at the Castor gas reservoir driven by pore pressure diffusion and asperities loading

S Cesca, D Stich, F Grigoli, A Vuan… - Nature …, 2021 - nature.com
The 2013 seismic sequence at the Castor injection platform offshore Spain, including three
earthquakes of magnitude 4.1, occurred during the initial filling of a planned Underground …