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 developing an improved understanding of ongoing weak ground motions. We use …
and developing an improved understanding of ongoing weak ground motions. We use …
A methodological approach towards high-resolution surface wave imaging of the San Jacinto Fault Zone using ambient-noise recordings at a spatially dense array
We present a new technique for deriving detailed information on seismic velocities of the
subsurface material from continuous ambient noise recorded by spatially dense seismic …
subsurface material from continuous ambient noise recorded by spatially dense seismic …