Testing DAS-integrated Earthquake Early Warning in Northern California: Design and Implementation
Description:
Distributed Acoustic Sensing (DAS) arrays can expand the coverage of seismic networks and therefore improve real-time earthquake detection and Earthquake Early Warning (EEW). In the current U.S. west coast EEW system ShakeAlert, edge-of-network regions and known active faulting systems of special interest could benefit from additional observation from DAS. For example, when applying DAS to submarine fiber optics cables, it could provide earlier and more accurate detections to improve the EEW system for offshore regions, such as the San Gregorio Fault zone and the Mendocino triple junction in Northern California.
We have developed a DAS-based EEW algorithm designed to fully digest and utilize the dense array nature of DAS. The algorithm includes a machine learning-based seismic phase picking module, a grid-search location module and an empirical magnitude estimation module. By leveraging Graphics Processing Units (GPUs) and parallelization, we optimized the algorithm to meet real-time streaming requirements, achieving comparable data processing speeds to the existing EEW systems. We integrated the algorithms with the point-source EEW algorithm (EPIC), introducing new modules to associate detected events from the DAS arrays with detections from traditional seismic stations, and communicating real-time phase picking information to solve for the earthquake location jointly. We are expecting to run the integrated algorithms in real-time as a parallel version of EPIC in the Monterey Bay region with data from the permanent DAS deployment project SeaFOAM (Seafloor Fiber-Optic Array in Monterey Bay), testing newly added modules and logic for alert issuance. This work serves as a foundation for incorporating potential future DAS arrays into ShakeAlert, to enhance EEW for specific regions.
Session: Performance and Progress of Earthquake Early Warning Systems Around the World [Poster]
Type: Poster
Date: 4/16/2025
Presentation Time: 08:00 AM (local time)
Presenting Author: Yuancong
Student Presenter: Yes
Invited Presentation:
Poster Number: 116
Authors
Yuancong Gou Presenting Author Corresponding Author yuancong_gou@berkeley.edu University of California, Berkeley |
Richard Allen rallen@berkeley.edu University of California, Berkeley |
Ran Nof ran.nof@berkeley.edu Geological Survey of Israel |
Ivan Henson ihenson@berkeley.edu University of California, Berkeley |
Angie Lux angie.lux@berkeley.edu University of California, Berkeley |
Brian Pardini bpardini@berkeley.edu University of California, Berkeley |
Weiqiang Zhu zhuwq@berkeley.edu University of California, Berkeley |
Taka'aki Taira taira@berkeley.edu University of California, Berkeley |
|
Testing DAS-integrated Earthquake Early Warning in Northern California: Design and Implementation
Session
Performance and Progress of Earthquake Early Warning Systems Around the World