Seismic Phase Picking
This work tackles the problem of efficient earthquake monitoring for seismologists, but it appears incremental as it reviews existing methods without introducing a new approach.
The paper addresses the challenge of automatically determining P- and S-wave arrival times from seismic waveforms, as manual picking becomes impractical with increasing data volume, by exploring both traditional and learning-based methods without reporting specific results or numbers.
Seismic phase picking, which aims to determine the arrival time of P- and S-waves according to seismic waveforms, is fundamental to earthquake monitoring. Generally, manual phase picking is trustworthy, but with the increasing number of worldwide stations and seismic monitors, it becomes more challenging for human to complete the task comprehensively. In this work, we explore multiple ways to do automatic phase picking, including traditional and learning-based methods.