Distributed acoustic sensing turns fiber‐optic cables into sensitive seismic antennas
Z Zhan - Seismological Research Letters, 2020 - pubs.geoscienceworld.org
Distributed acoustic sensing (DAS) is a new, relatively inexpensive technology that is rapidly
demonstrating its promise for recording earthquake waves and other seismic signals in a …
demonstrating its promise for recording earthquake waves and other seismic signals in a …
Recent advances and challenges of waveform‐based seismic location methods at multiple scales
Source locations provide fundamental information on earthquakes and lay the foundation for
seismic monitoring at all scales. Seismic source location as a classical inverse problem has …
seismic monitoring at all scales. Seismic source location as a classical inverse problem has …
Global quieting of high-frequency seismic noise due to COVID-19 pandemic lockdown measures
Human activity causes vibrations that propagate into the ground as high-frequency seismic
waves. Measures to mitigate the coronavirus disease 2019 (COVID-19) pandemic caused …
waves. Measures to mitigate the coronavirus disease 2019 (COVID-19) pandemic caused …
SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks
In this paper, we introduce SciANN, a Python package for scientific computing and physics-
informed deep learning using artificial neural networks. SciANN uses the widely used deep …
informed deep learning using artificial neural networks. SciANN uses the widely used deep …
Hierarchical interlocked orthogonal faulting in the 2019 Ridgecrest earthquake sequence
A nearly 20-year hiatus in major seismic activity in southern California ended on 4 July 2019
with a sequence of intersecting earthquakes near the city of Ridgecrest, California. This …
with a sequence of intersecting earthquakes near the city of Ridgecrest, California. This …
The magmatic web beneath Hawai 'i
The deep magmatic architecture of the Hawaiian volcanic system is central to understanding
the transport of magma from the upper mantle to the individual volcanoes. We leverage …
the transport of magma from the upper mantle to the individual volcanoes. We leverage …
Earthquake phase association using a Bayesian Gaussian mixture model
Earthquake phase association algorithms aggregate picked seismic phases from a network
of seismometers into individual sesimic events and play an important role in earthquake …
of seismometers into individual sesimic events and play an important role in earthquake …
A high‐resolution seismic catalog for the initial 2019 Ridgecrest earthquake sequence: Foreshocks, aftershocks, and faulting complexity
DR Shelly - Seismological Research Letters, 2020 - pubs.geoscienceworld.org
I use template matching and precise relative relocation techniques to develop a high‐
resolution earthquake catalog for the initial portion of the 2019 Ridgecrest earthquake …
resolution earthquake catalog for the initial portion of the 2019 Ridgecrest earthquake …
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 …
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 …