Using Dark Fiber and Distributed Acoustic Sensing for Near-Surface Characterization and Broadband Seismic Event Detection

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1038/s41598-018-36675-8.

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Authors

Jonathan Ajo-Franklin , Shan Dou, Nathaniel Lindsey , Inder Monga, Chris Tracy, Michelle Robertson, Craig Ulrich, Barry Freifeld, Tom Daley, Xiaoye S. Li

Abstract

We present the first case study demonstrating the use of regional unlit fiber-optic telecommunication infrastructure (dark fiber) and distributed acoustic sensing for broadband seismic monitoring of both near-surface soil properties and earthquake seismology. We recorded 7 months of passive seismic data on a 27 km section of dark fiber stretching from West Sacramento, CA to Woodland, CA, densely sampled at 2 m spacing. This dataset was processed to extract surface wave velocity information using ambient noise interferometry techniques; the resulting Vs profiles were used to map both shallow structural profiles and groundwater depth, thus demonstrating that basin-scale variations in hydrological state can be resolved using this technique. The same array was utilized for detection of regional and teleseismic earthquakes and evaluated for long period response using records from the M8.1 Chiapas, Mexico 2017, Sep 8th event. The combination of these two sets of observations conclusively demonstrates that regionally extensive fiber-optic networks can effectively be utilized for a host of geoscience observation tasks at a combination of scale and resolution previously inaccessible.

DOI

https://doi.org/10.31223/osf.io/kxqb2

Subjects

Earth Sciences, Geophysics and Seismology, Hydrology, Physical Sciences and Mathematics

Keywords

Seismology, Geophysics, earthquake, Ambient noise, Distributed acoustic sensing, fiber-optic

Dates

Published: 2018-07-20 18:38

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License

GNU Lesser General Public License (LGPL) 2.1

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