MagInfoNet: Magnitude Estimation Using Seismic Information Augmentation and Graph Transformer

MagInfoNet: Magnitude Estimation Using Seismic Information Augmentation and Graph Transformer

Abstract In this study, we propose a reliable data‐driven tool, MagInfoNet, to enhance the accuracy of magnitude estimation. Its architecture was assembled using the Pre‐Inform and Mag‐Pred modules to replace and update the key functions of traditional seismic analysis workflows. The Pre‐Inform modu...

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Bibliographic Details
Main Authors: Ziwei Chen, Zhiguo Wang, Shaojiang Wu, Yibo Wang, Jinghuai Gao
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-12-01
Series:Earth and Space Science
Subjects:
magnitude estimation
seismic signal
arrival time
travel time
residual neural network
graph neural network
Online Access:https://doi.org/10.1029/2022EA002580

Internet

https://doi.org/10.1029/2022EA002580

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