Comprehensive Evaluation of DAS Amplitude and Its Implications for Earthquake Early Warning and Seismic Interferometry
Creators
Abstract
Distributed Acoustic Sensing (DAS) is an emerging technology that converts optical fibers into dense arrays of strainmeters, significantly enhancing our understanding of earthquake physics and Earth's structure. While most past DAS studies have focused primarily on seismic wave phase information, accurate measurements of true ground motion amplitudes are crucial for comprehensive future analyses. However, amplitudes in DAS recordings, especially for pre‐existing telecommunication cables with uncertain fiber‐ground coupling, have not been fully quantified. By calibrating three DAS arrays with co‐located seismometers, we systematically evaluate DAS amplitudes. Our results indicate that the average DAS amplitude of earthquake signals closely matches that of co‐located seismometer data across frequencies from 0.01 to 10 Hz. The noise floor of DAS is comparable to that of strong‐motion stations but higher than that of broadband stations. The saturation amplitude of DAS is adjustable by modifying the pulse repetition rate and gauge length. We also demonstrate how our findings enhance the understanding of fiber‐optic seismology and its implications for natural hazard mitigation and Earth structure imaging and monitoring. Specifically, our results suggest that with proper settings, DAS can detect P‐waves from an M6+ earthquake occurring 10 km from the cable without saturation, indicating its viability for earthquake early warning. Through quantitative comparison and analysis, we also find that local ambient traffic noise levels strongly affect the quality of seismic interferometry measurement, which is a powerful tool for near‐surface imaging and monitoring. Our methodology and findings are valuable for future DAS experiments that require precise seismic amplitude measurements.
Copyright and License
© 2025. American Geophysical Union.
Acknowledgement
The authors thank Adam Ringler and an anonymous reviewer for their constructive comments, which helped improve the manuscript. This study is supported by the United States National Science Foundation (NSF) Grant EAR-1848166, the United States Geological Survey (USGS) Grant G23AP00111, the Gordon and Betty Moore Foundation, the Braun Trust, and the Office of Emergency Services, State of California, under MCG.CEEWS3-1CALIFOES.NEWS, funding source Award Number 61132019.
Data Availability
The earthquake catalog and waveforms of co-located seismometers used in this study are publicly available at the Southern California Earthquake Data Center (SCEDC, 2013) and the Northern California Earthquake Data Center (NCEDC, 2014). The example dataset of the 1 month continuous recordings of the Ridgecrest North DAS is publicly available from the SCEDC Earthquake Data AWS Public Dataset (SCEDC, 2013) at https://scedc.caltech.edu/data/cloud.html. The measured peak strain rate amplitude of local earthquakes from multiple DAS arrays is available at Yin (2023). The DAS waveforms of 50 high signal-to-noise ratio local earthquakes are publicly available at Atterholt (2022). The DAS waveforms of five high signal-to-noise ratio teleseismic earthquakes (Table S1 in Supporting Information S1), DAS and station locations, DAS noise level PSD results, and 1D velocity models used in this study are publicly available from Zhai (2024) at https://doi.org/10.22002/tc6tq-7hz47. Digital versions of the Peterson New Low-/High-Noise Model (Peterson, 1993) and earthquake models (Clinton & Heaton, 2002) as shown in Figure 5 are publicly available from ObsPy (Krischer et al., 2015) at https://docs.obspy.org/_modules/obspy/signal/spectral_estimation.html. The code for converting DAS data of local earthquakes from strain rate to acceleration using the FDCT (Atterholt et al., 2021; Candès et al., 2006) is publicly available at https://github.com/atterholt/DAS-unit-conversion. The seismic data is analyzed using ObsPy (Krischer et al., 2015), publicly available at https://github.com/obspy/obspy. Some figures are plotted using PyGMT (Tian et al., 2024), publicly available at https://github.com/GenericMappingTools/pygmt. All links were last accessed in January 2025.
Supplemental Material
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JGR Solid Earth - 2025 - Zhai - Comprehensive Evaluation of DAS Amplitude and Its Implications for Earthquake Early Warning.pdf
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Additional details
Funding
- National Science Foundation
- EAR‐1848166
- United States Geological Survey
- G23AP00111
- Gordon and Betty Moore Foundation
- California Governor's Office of Emergency Services
- 61132019
Dates
- Accepted
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2025-03-20
- Available
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2025-03-28Version of record online
- Available
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2025-03-28Issue online