Abstract

Phase association is a process that links seismic phases triggered at the stations of a seismic network to declare the occurrence of earthquakes. During phase association, a set of phases from different stations is examined to determine the common origin of phases within a specific region, predominantly on the basis of a grid search and the sum of observations. The association of seismic phases in local earthquake monitoring systems or earthquake early warning systems is often disturbed not only by transient noises, but also by large regional or teleseismic events. To mitigate this disturbance, we developed a seismic phase association method, binder_max, which uses the maximum likelihood method to associate seismic phases. The method is based on the framework of binder_ew, the phase associator of Earthworm, but it uses a likelihood distribution of the arrival information instead of stacking arrival information. Applying binder_max to data from seismic networks of South Korea and Ohio, United States, we found a significant improvement in the robustness of the method against large regional or teleseismic events compared to binder_ew. Our results indicate that binder_max can associate seismic phases of local earthquakes to the same degree as binder_ew as well as can avoid many of the false associations that have limited binder_ew.

Highlights

  • When seismic phases are triggered at the stations belonging to a seismic network, they are examined to determine whether a set of phases originated from a common location

  • In real-time earthquake monitoring systems, phase association is predominantly based on a grid search algorithm (e.g., Earthworm, Antelope, SeisComp3, and GLASS3)

  • To demonstrate the capability of binder_max, we used picks from a pilot monitoring system, which uses the Earthworm platform of the Korea Institute of Geoscience and Mineral Resources (KIGAM), from March to December 2020

Read more

Summary

Introduction

When seismic phases are triggered at the stations belonging to a seismic network, they are examined to determine whether a set of phases originated from a common location. The concept of association is rather simple, seismic phase association is an intricate task in real-time automated earthquake monitoring. This is because there can be various origins of seismic signals, such as small to large, shallow to deep, or near to distant earthquakes. In real-time earthquake monitoring systems, phase association is predominantly based on a grid search algorithm (e.g., Earthworm, Antelope, SeisComp, and GLASS3). Detected arrivals are back-projected and stacked for each grid that the region of interest was discretized into. The association stack is examined to investigate whether the count of back-projected arrivals on each grid exceeds a certain threshold (Johnson et al, 1997; Yeck et al, 2019)

Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call