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Big data seismology
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 …
undersampled in space and time. Our basic understanding of earthquake processes and our …
Seismic and acoustic signatures of surficial mass movements at volcanoes
Surficial mass movements, such as debris avalanches, rock falls, lahars, pyroclastic flows,
and outburst floods, are a dominant hazard at many volcanoes worldwide. Understanding …
and outburst floods, are a dominant hazard at many volcanoes worldwide. Understanding …
P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning
Determining earthquake hypocenters and focal mechanisms requires precisely measured P
wave arrival times and first‐motion polarities. Automated algorithms for estimating these …
wave arrival times and first‐motion polarities. Automated algorithms for estimating these …
Automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform
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 …
noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events …
Rapid earthquake association and location
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 …
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
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 …
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)
We developed an earthquake detection and location architecture for continuous
seismograms that incorporates phase picking, phase association, location, and matched …
seismograms that incorporates phase picking, phase association, location, and matched …
Automatic picking of direct P, S seismic phases and fault zone head waves
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 …
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 …
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
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 …
earthquakes of magnitude 4.1, occurred during the initial filling of a planned Underground …