Harnessing Distributed Acoustic Sensing for Earthquake Early Warning: Magnitude Estimation and Ground Motion Prediction

This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.

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Authors

Itzhak Lior, Diane Rivet, Jean Paul Ampuero , Anthony Sladen, Sergio Barrientos, Rodrigo Sánchez-Olavarría, German Alberto Villarroel Opazo, Jose Antonio Bustamente Prado

Abstract

Earthquake Early Warning (EEW) systems provide seconds to tens of seconds of warning time before potentially-damaging ground motions are felt. For optimal warning times, seismic sensors should be installed as close as possible to expected earthquake sources. However, while the most hazardous earthquakes on Earth occur underwater, most seismological stations are located on-land; precious seconds may go by before these earthquakes are detected. In this work, we harness available optical fiber infrastructure for EEW using the novel approach of Distributed Acoustic Sensing (DAS). DAS strain measurements of earthquakes from different regions are converted to ground motions using a real-time slant-stack approach, magnitudes are estimated using a theoretical earthquake source model, and ground shaking intensities are predicted via ground motion prediction equations. The results demonstrate the robustness of DAS-based EEW and the significant time-gains that can be achieved compared to the use of standard seismometers, in particular for offshore earthquakes.

DOI

https://doi.org/10.31223/X59S6D

Subjects

Geophysics and Seismology

Keywords

Distributed acoustic sensing, DAS, earthquake early warning, EEW, Earthquakes, seismic hazard, Earthquake Magnitude, Ground Motions, Ground Motion Prediction

Dates

Published: 2022-06-21 17:15

Last Updated: 2022-06-27 02:25

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
https://osf.io/4bjph/

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