Crazyseismic: A MATLAB GUI‐Based Software Package for Passive Seismic Data Preprocessing [PDF]
, 2017 We introduce an open‐source MATLAB software package, named Crazyseismic, for passive seismic data preprocessing. Built‐in core functions such as seismic phase travel‐time calculation and multichannel cross correlation significantly improve the efficiency
Shang, Xuefeng +2 more
core +1 more source
Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning
Nature Communications, 2023 Distributed Acoustic Sensing (DAS) is an emerging technology for earthquake monitoring and subsurface imaging. However, its distinct characteristics, such as unknown ground coupling and high noise level, pose challenges to signal processing.
Weiqiang Zhu +5 more
doaj +1 more source
Geomatics, Natural Hazards & Risk, 2023 The accurate characterization of microearthquake sequences allows seismologists to better understand the physical processes involved in earthquake nucleation and rupture propagation and to gain insights on fault geometry at depth. Standard procedures for
S. Panebianco +4 more
doaj +1 more source
Isolated deep earthquakes beneath the North Island of New Zealand [PDF]
, 2004 Seismicity shallows towards the south along the Tonga-Kermadec-Hikurangi margin, deep and intermediate seismicity being absent altogether in the South Island of New Zealand.
Adams +23 more
core +1 more source
Automated seismic waveform location using multichannel coherency migration (MCM)–I: theory [PDF]
, 2018 With the proliferation of dense seismic networks sampling the full seismic wavefield, recorded seismic data volumes are getting bigger and automated analysis tools to locate seismic events are essential.
Angus, D +4 more
core +1 more source
Automatic seismic phase picking and consistent observation error assessment: application to the Italian seismicity [PDF]
, 2017 Accuracy of seismic phase observation and consistency of timing error assessment define the quality of seismic waves arrival times. High-quality and large data sets are prerequisites for seismic tomography to enhance the resolution of crustal and upper ...
Aldersons, F. +5 more
core
Active Metamaterials with Tunable Shear Nonreciprocity and Nonlinear Dynamics
Advanced Science, EarlyView.Active gear‐based mechanical metamaterials enable simultaneous control of translational and torsional stiffnesses by 30–100×, break shear reciprocity under positive versus negative loads, broadly tune resonant frequencies, and offer programmable dynamic responses.
Xin Fang, Miao Yu, Dianlong Yu, Li Cheng
wiley +1 more source
Applying deep learning to teleseismic phase detection and picking: PcP and PKiKP cases
Artificial Intelligence in GeosciencesThe availability of a tremendous amount of seismic data demands seismological researchers to analyze seismic phases efficiently. Recently, deep learning algorithms exhibit a powerful capability of detecting and picking on P- and S-wave phases.
Congcong Yuan, Jie Zhang
doaj +1 more source
Micro-seismic events detection and its tectonic implications in Northeastern Hainan Province
Frontiers in Earth Science, 2023 In this paper, we combine the U-net-based phase picking method (PhaseNet) with Graphics Processing Unit-Based Match and Locate technology (GPU-M&L) and a deep-learning-based seismic signal de-noising method (DeepDenoiser) as a workflow for ...
Zeyu Ma +5 more
doaj +1 more source
Finite-Frequency SKS Splitting: Measurement and Sensitivity Kernels [PDF]
, 2008 Splitting of SKS waves caused by anisotropy may be analyzed by measuring the splitting intensity, i.e., the amplitude of the transverse signal relative to the radial signal in the SKS time window. This quantity is simply related to structural parameters.
Paulssen, Hanneke +3 more
core +1 more source