Session: Real-Time Monitoring and Warning with Fiber Optic Seismology [Poster]
Type: Poster
Date: 10/7/2024
Time: 05:00 PM
Room: Stanley Park Ballroom
Assessing Distributed Acoustic Sensing Strain-Rate Waveform Statistics for Improving Earthquake Early Warning
DAS seismology offers new opportunities for earthquake early warning (EEW) as existing “dark fibers” are used as dense linear arrays of strain meters. Here, we examine the statistical features of DAS measurements of the first few seconds after P-wave arrivals from small-to-moderate local earthquakes for applications to EEW. Our data are from a 15-km long fiber onshore between Arcata and Eureka near the Mendocino Triple Junction in Northern California, where a M6.4 occurred about 30 km away, near Ferndale, on December 20, 2022. We analyze 5 months of local seismicity following the 2022 Ferndale event, including 12 M>4 events and one M5.4 on January 1, 2023. We calculate DAS waveform statistics before and after P-wave arrivals for the purpose of designing a DAS-based “tripwire” alert mechanism for EEW for nearby large earthquakes, thus expanding EEW coverage wherever dark fibers are available. We identify 70 two-minute-long DAS records of local earthquakes using the Comcat event catalog and an automatic phase picker (PhaseNet-DAS; Zhu et al., 2023), and analyze their statistical features in both time and frequency domains in the ten seconds before and four seconds after a P wave is detected across a spatial segment of the fiber. We find that some features correlate with catalog magnitude including continuous wavelet transform coefficients, short-term average/long-term average (STA/LTA) ratios, and strain-rate amplitudes, and are largely independent of distance and azimuth. We suggest that near-field terms which are thought to be characteristic of large, but not small, rupture processes, may help broadly distinguish between large and small earthquakes on DAS fibers, thus improving our ability to characterize potentially hazardous earthquakes in a timely and effective manner.
Presenting Author: Theresa
Additional Authors
Theresa M Sawi tsawi@ldeo.columbia.edu U.S. Geological Survey, Mountain View, California, United States Presenting Author
Corresponding Author
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Jeffrey McGuire jmcguire@usgs.gov U.S. Geological Survey, Mountain View, California, United States |
Clara Yoon cyoon@usgs.gov U.S. Geological Survey, Pasadena, California, United States |
Andrew Barbour abarbour@usgs.gov U.S. Geological Survey, Vancouver, Washington, United States |
Victor Yartsev victor.yartsev@lunainc.com Luna Innovations, Roanoke, Virginia, United States |
Martin Karrenbach martinkarrenbach@gmail.com Seismics Unusual, Brea, California, United States |
Connie Stewart connie.stewart@humboldt.edu California State Polytechnic University, Humboldt, Arcata, California, United States |
Mark Hemphill-Haley mark.hemphill-haley@humboldt.edu California State Polytechnic University, Humboldt, Arcata, California, United States |
Robert McPherson robert.mcpherson@humboldt.edu California State Polytechnic University, Humboldt, Arcata, California, United States |
Kari Stockdale kari.stockdale@humboldt.edu California State Polytechnic University, Humboldt, Arcata, California, United States |
Assessing Distributed Acoustic Sensing Strain-Rate Waveform Statistics for Improving Earthquake Early Warning
Category
Real-Time Monitoring and Warning with Fiber Optic Seismology
Description