Real-Time Processing of Distributed Acoustic Sensing Data for Earthquake Monitoring Operations
Creators
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1.
California Institute of Technology
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2.
Stanford University
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3.
Luna Innovations (United States)
Abstract
We introduce a modular software framework designed to integrate distributed acoustic sensing (DAS) data into operational earthquake monitoring systems. Building on the infrastructure of the Advanced National Seismic System (ANSS) and the Southern California Seismic Network, which employs the ANSS Quake Monitoring Software (AQMS), our solution supports real‐time DAS waveform streaming and machine‐learning‐based travel‐time picking to leverage the dense spatial sampling of DAS arrays. To enable seamless compatibility with the AQMS, our approach uses standardized seismic data formats to incorporate predetermined DAS channels. We demonstrate the integration of data from a 100‐km‐long DAS array deployed in Ridgecrest, California, and provide a detailed description of the software components and deployment strategy. This work represents a step toward incorporating DAS into routine seismic monitoring and opens new possibilities for real‐time hazard assessment using fiber‐optic networks.
Copyright and License
© 2026 Seismological Society of America.
Acknowledgement
The authors thank the California Broadband Cooperative for providing access to the Digital 395 telecommunication fibers and their constant support in permitting continuous monitoring operations. This work was funded by the U.S. Geological Survey (USGS) National Earthquake Hazards Reduction Program Award Number G24AP00060 and the California Governor’s Office of Emergency Services. The authors thank the anonymous reviewer and Renate Hartog for their constructive and insightful comments, which substantially improved the initial version of this article. Conceptualization: E. B., E. Y., J. S., R. B., G. T., and A. H.; methodology and software development: E. B., V. Y., J. S., G. T., E. Y., M. B., M. W., and A. B.; data collection: E. B. and Z. Z.; visualization: E. B.; supervision: A. H.; and writing–original draft: E. B.
Data Availability
The software for real‐time distributed acoustic sensing (DAS) processing can be found at this GitHub repository (https://github.com/Caltech-DASHub/DAS-realtime.git). The supplemental material includes Figures S1 and S2 and Movies S1 and S2. Figure S1 shows a Jiggle screen depicting a local M 2.36 event (event ID 41153760) that occurred close to the Ridgecrest DAS array, for which P‐ and S‐wave arrivals can be distinguished on six channels. Figure S2 illustrates how lowering the short‐term average/long‐term average (STA/LTA) detection threshold for DAS data increases the number of mispicks, primarily due to vehicle‐induced deformations and instrument noise. Movie S1 demonstrates the performance of PhaseNet‐DAS on a rolling window for the Mw 3.4 event shown in Figure 3a. Movie S2 shows PhaseNet‐DAS applied to a 70 s rolling window during the Mw 5.2 Lamont sequence; the sequence can be viewed at this link: https://cloud.seismosoc.org/s/k3omT9JR4cX. All websites were last accessed in March 2026.
Supplemental Material
Files
srl-2025208_supplement_movies1.gif.zip
Additional details
Funding
- United States Geological Survey
- G24AP00060
Dates
- Available
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2026-03-27First online
Caltech Custom Metadata
- Caltech groups
- Division of Geological and Planetary Sciences (GPS) , Seismological Laboratory
- Publication Status
- In Press