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Wavefield-based evaluation of DAS instrument response and array design

Muir, Jack B. and Zhan, Zhongwen (2022) Wavefield-based evaluation of DAS instrument response and array design. Geophysical Journal International, 229 (1). pp. 21-34. ISSN 0956-540X. doi:10.1093/gji/ggab439.

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Distributed acoustic sensing (DAS) networks promise to revolutionize observational seismology by providing cost-effective, highly dense spatial sampling of the seismic wavefield, especially by utilizing pre-deployed telecomm fibre in urban settings for which dense seismic network deployments are difficult to construct. However, each DAS channel is sensitive only to one projection of the horizontal strain tensor and therefore gives an incomplete picture of the horizontal seismic wavefield, limiting our ability to make a holistic analysis of instrument response. This analysis has therefore been largely restricted to pointwise comparisons where a fortuitious coincidence of reference three-component seismometers and colocated DAS cable allows. We evaluate DAS instrument response by comparing DAS measurements from the PoroTomo experiment with strain-rate wavefield reconstructed from the nodal seismic array deployed in the same experiment, allowing us to treat the entire DAS array in a systematic fashion irrespective of cable geometry relative to the location of nodes. We found that, while the phase differences are in general small, the amplitude differences between predicted and observed DAS strain rates average a factor of 2 across the array and correlate with near-surface geology, suggesting that careful assessment of DAS deployments is essential for applications that require reliable assessments of amplitude. We further discuss strategies for empirical gain corrections and optimal placement of point sensor deployments to generate the best combined sensitivity with an already deployed DAS cable, from a wavefield reconstruction perspective.

Item Type:Article
Related URLs:
URLURL TypeDescription ItemCode
Muir, Jack B.0000-0003-2617-3420
Zhan, Zhongwen0000-0002-5586-2607
Additional Information:© The Author(s) 2021. Published by Oxford University Press on behalf of The Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model ( Revision received: 15 July 2021. Received: 27 September 2021. Accepted: 18 October 2021. Published: 28 October 2021. The authors would like to thank the editor, Andrew Valentine, and the reviewers, Eileen Martin and Karen Lythgoe, for their comments, which have greatly improved the manuscript. The authors would like to thank Ettore Biondi for useful discussions during the preparation of this manuscript. The authors would like to acknowledge the University of Wisconsin-Madison PoroTomo team for early access and usage instructions for the PoroTomo DAS data set. JBM acknowledges the financial support of the Origin Energy Foundation and the General Sir John Monash Foundation during his PhD studies. ZZ thanks the support from NSF CAREER award EAR 1848166 and the NSF/IUCRC GMG Center. Seismic data were processed using Obspy (Beyreuther et al. 2010), and figures were created using Matplotlib (Hunter 2007). DATA AVAILABILITY. Data for the Hawthorn NV earthquake can be found at Feigl (2016a, b). The code used to produce the analysis for this study is stored at
Group:Seismological Laboratory
Funding AgencyGrant Number
Origin Energy FoundationUNSPECIFIED
General Sir John Monash FoundationUNSPECIFIED
Center for Geomechanics and Mitigation of GeohazardsUNSPECIFIED
Subject Keywords:Inverse theory, Joint inversion, Wavelet transform, Earthquake ground motions, Site effects
Issue or Number:1
Record Number:CaltechAUTHORS:20220121-11653000
Persistent URL:
Official Citation:Jack B Muir, Zhongwen Zhan, Wavefield-based evaluation of DAS instrument response and array design, Geophysical Journal International, Volume 229, Issue 1, April 2022, Pages 21–34,
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:113045
Deposited By: George Porter
Deposited On:21 Jan 2022 22:51
Last Modified:21 Jan 2022 22:51

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