Results 1 to 10 of about 129,945 (270)

A Novel Time–Frequency Similarity Method for P-Wave First-Motion Polarity Detection [PDF]

open access: yesSensors
P-wave first-motion polarity is a critical parameter for determining earthquake focal mechanisms. Extracting relative P-wave arrival times and polarity information using waveform cross-correlation techniques can enhance the accuracy of earthquake ...
Yanji Yao   +4 more
doaj   +3 more sources

PolarCAP – A deep learning approach for first motion polarity classification of earthquake waveforms

open access: yesArtificial Intelligence in Geosciences, 2022
The polarity of first P-wave arrivals plays a significant role in the effective determination of focal mechanisms specially for smaller earthquakes. Manual estimation of polarities is not only time-consuming but also prone to human errors.
Megha Chakraborty   +6 more
doaj   +3 more sources

CFM: a convolutional neural network for first-motion polarity classification of seismic records in volcanic and tectonic areas

open access: yesFrontiers in Earth Science, 2023
First-motion polarity determination is essential for deriving volcanic and tectonic earthquakes’ focal mechanisms, which provide crucial information about fault structures and stress fields. Manual procedures for polarity determination are time-consuming
Giovanni Messuti   +7 more
doaj   +3 more sources

DiTingMotion: A deep-learning first-motion-polarity classifier and its application to focal mechanism inversion

open access: yesFrontiers in Earth Science, 2023
Accurate P-wave first-motion-polarity (FMP) information can contribute to solving earthquake focal mechanisms, especially for small earthquakes, to which waveform-based methods are generally inapplicable due to the computationally expensive high ...
Ming Zhao   +8 more
doaj   +2 more sources

P-wave first-motion polarity determination of waveform data in western Japan using deep learning [PDF]

open access: yesEarth, Planets and Space, 2019
P-wave first-motion polarity is the most useful information in determining the focal mechanisms of earthquakes, particularly for smaller earthquakes.
Shota Hara   +2 more
doaj   +2 more sources

Acoustic emission features and P-wave first-motion polarity of tensile fractures in the rock

open access: yes工程科学学报, 2022
To investigate the acoustic emission (AE) characteristics of tensile fracture in the rock, an AE experiment of granite, marble, and red sandstone using an expanding agent for fracture generation was designed.
Xi-ling LIU   +4 more
doaj   +2 more sources

FocMech-Flow: Automatic Determination of P-Wave First-Motion Polarity and Focal Mechanism Inversion and Application to the 2021 Yangbi Earthquake Sequence

open access: yesApplied Sciences, 2023
P-wave first-motion polarity is important for the inversion of earthquake focal mechanism solutions. The focal mechanism solution can further contribute to our understanding of the source rupture process, the fault structure, and the regional stress ...
Shuai Li   +5 more
doaj   +2 more sources

Joint Regional Waveform, First-Motion Polarity, and Surface Displacement Moment Tensor Inversion of the 3 September 2017 North Korean Nuclear Test [PDF]

open access: yesThe Seismic Record, 2021
The 3 September 2017 Mw 5.2 North Korean underground nuclear test (DPRK2017) is the largest man-made explosion with surface displacements observed by Synthetic Aperture Radar (SAR) and showed as much as 3.5 m of horizontal permanent deformation. Although
Rodrigo Chi-Durán   +3 more
doaj   +2 more sources

DiTing: A large-scale Chinese seismic benchmark dataset for artificial intelligence in seismologyKey points

open access: yesEarthquake Science, 2023
In recent years, artificial intelligence technology has exhibited great potential in seismic signal recognition, setting off a new wave of research. Vast amounts of high-quality labeled data are required to develop and apply artificial intelligence in ...
Ming Zhao   +3 more
doaj   +1 more source

P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning [PDF]

open access: yesJournal of Geophysical Research: Solid Earth, 2018
AbstractDetermining earthquake hypocenters and focal mechanisms requires precisely measured P wave arrival times and first‐motion polarities. Automated algorithms for estimating these quantities have been less accurate than estimates by human experts, which are problematic for processing large data volumes.
Zachary E. Ross   +2 more
openaire   +3 more sources

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