Poster #224, Seismology

A Detailed Earthquake Catalog for the San Jacinto Fault‐Zone Region in Southern California and the period 2008-2020

Malcolm C. White, Yehuda Ben-Zion, & Frank L. Vernon
Poster Image: 

Poster Presentation

2021 SCEC Annual Meeting, Poster #224, SCEC Contribution #11485 VIEW PDF
Earthquake catalogs are foundational data products for earthquake science. White et al (2019) developed an automated processing procedure to derive a catalog of earthquake hypocenters from raw waveform data and applied it to nine years of archived data (2008 through 2016) recorded near the San Jacinto Fault Zone (SJFZ) in Southern California. That catalog comprises 60% more events in the core SJFZ than the standard regional catalog published by the Southern California Seismic Network (SCSN). Here we update the White et al (2019) catalog using additional data (through 2020) and updated algorithms. Most notably, we a) replace the conventional energy-based algorithm used in White et al (2019) t...o detect earthquakes and pick phase arrivals with the deep-learning EQTransformer method (Mousavi et al 2020), and b) implement a Bayesian algorithm to derive earthquake locations that are robust against uncertainties associated with observations (phase picks) and velocity models. The updated catalog comprises 152% more events than the SCSN catalog in the study region around the SJFZ. The revised processing procedure, an overview of the new catalog, and select structural features observed in the catalog will be presented in the meeting.

Mousavi, S. M., Ellsworth, W. L., Zhu, W., Chuang, L. Y., & Beroza, G. C. (2020). Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking. Nature Communications, 11(1), 3952. doi: 10.1038/s41467-020-17591-w

White, M. C. A., Ben‐Zion, Y., & Vernon, F. L. (2019). A Detailed Earthquake Catalog for the San Jacinto Fault‐Zone Region in Southern California. Journal of Geophysical Research: Solid Earth, 124(7), 6908–6930. doi: 10.1029/2019JB017641