Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis

Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis

Abstract Recent advances in deep learning have enhanced our ability to analyze seismic waveforms. Here, we developed and evaluated a convolutional neural network (CNN) model to classify tectonic tremors, earthquakes, and noise in seismic waveform data recorded by a seismic array in the Nankai subduc...

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Bibliographic Details
Main Authors: Amane Sugii, Yoshihiro Hiramatsu, Takahiko Uchide, Kazutoshi Imanishi
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Earth, Planets and Space
Subjects:
Slow earthquakes
Denoising
Neural network attribution
Integrated gradients
Online Access:https://doi.org/10.1186/s40623-024-02126-0
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https://doi.org/10.1186/s40623-024-02126-0

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