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 …
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 …
Distributed acoustic sensing for seismic activity monitoring
Continuous, real-time monitoring of surface seismic activity around the globe is of great
interest for acquiring new insight into global tomography analyses and for recognition of …
interest for acquiring new insight into global tomography analyses and for recognition of …
Kinematic ground‐motion simulations on rough faults including effects of 3D stochastic velocity perturbations
We describe a methodology for generating kinematic earthquake ruptures for use in 3D
ground‐motion simulations over the 0–5 Hz frequency band. Our approach begins by …
ground‐motion simulations over the 0–5 Hz frequency band. Our approach begins by …
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 …
Toward improved urban earthquake monitoring through deep-learning-based noise suppression
Earthquake monitoring in urban settings is essential but challenging, due to the strong
anthropogenic noise inherent to urban seismic recordings. Here, we develop a deep …
anthropogenic noise inherent to urban seismic recordings. Here, we develop a deep …
High-resolution seismic event detection using local similarity for Large-N arrays
We develop a novel method for seismic event detection that can be applied to large-N
arrays. The method is based on a new detection function named local similarity, which …
arrays. The method is based on a new detection function named local similarity, which …
Do low‐cost seismographs perform well enough for your network? An overview of laboratory tests and field observations of the OSOP Raspberry Shake 4D
RE Anthony, AT Ringler… - Seismological …, 2019 - pubs.geoscienceworld.org
Seismologists have recently begun using low‐cost nodal sensors in dense deployments to
sample the seismic wavefield at unprecedented spatial resolution. Earthquake early warning …
sample the seismic wavefield at unprecedented spatial resolution. Earthquake early warning …
Identifying different classes of seismic noise signals using unsupervised learning
Proper classification of nontectonic seismic signals is critical for detecting microearthquakes
and develo** an improved understanding of ongoing weak ground motions. We use …
and develo** an improved understanding of ongoing weak ground motions. We use …
Shallow three-dimensional structure of the San Jacinto fault zone revealed from ambient noise imaging with a dense seismic array
We use 1 month of continuous seismic waveforms from a very dense seismic network to
image with unprecedented resolution the shallow damage structure of the San Jacinto fault …
image with unprecedented resolution the shallow damage structure of the San Jacinto fault …