Real-Time Processing of Distributed Acoustic Sensing Data for Earthquake Monitoring Operations

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.

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Publication Details

Journal
Seismological Research Letters
Published
2026-03-27
DOI
https://doi.org/10.1785/0220250208
Primary Topic
Seismology and Earthquake Studies
Type
article
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article

Real-Time Processing of Distributed Acoustic Sensing Data for Earthquake Monitoring Operations

J. K. Saunders, Ettore Biondi, Allen Husker, Michael L. Black et al.
Seismological Research Letters
Seismology and Earthquake Studies
article

Real-Time Processing of Distributed Acoustic Sensing Data for Earthquake Monitoring Operations

J. K. Saunders, Ettore Biondi, Allen Husker, Michael L. Black, Rayomand Bhadha, Gabrielle Tepp, Victor Yartsev, Aparna Bhaskaran, Ellen Yu, Zhongwen Zhan, Michael Watkins
article en

Abstract

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.

Seismological Research Letters
California Institute of Technology (US), Connecting Health Innovations (United States) (US), Stanford University (US)
Openalex Percentile: Top 3%
Seismology and Earthquake Studies
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Real-Time Processing of Distributed Acoustic Sensing Data for Earthquake Monitoring Operations — J. K. Saunders, Ettore Biondi, et al. · Seismological Research Letters (2026) | TGRS Research Map | TGRS