2023
DOI: 10.26443/seismica.v2i2.247
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Spatiotemporal evaluation of Rayleigh surface wave estimated from roadside dark fiber DAS array and traffic noise

Rafał Czarny,
Tieyuan Zhu,
Junzhu Shen

Abstract: Seismic imaging and monitoring of the near-surface structure are crucial for the sustainable development of urban areas. However, standard seismic surveys based on cabled or autonomous geophone arrays are expensive and hard to adapt to noisy metropolitan environments. Distributed acoustic sensing (DAS) with pre-existing telecom fiber optic cables, together with seismic ambient noise interferometry, have the potential to fulfill this gap. However, a detailed noise wavefield characterization is needed before ret… Show more

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Cited by 3 publications
(1 citation statement)
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“…J. Spica et al, 2020), mine blast waveforms (Fang et al, 2020;Zeng et al, 2021), shock waves from thunder (Zhu & Stensrud, 2019), and detected T-phases and other acoustic waves (Rivet et al, 2021;Ugalde et al, 2021). Several studies have also illustrated the utility of continuous DAS data in monitoring seasonal changes in the shallow subsurface (Czarny et al, 2023;Rodríguez Tribaldos & Ajo-Franklin, 2021;Yang & Shragge, 2023). Crucial to this study, Viens 2022) recently demonstrated the ability of DAS to characterize the non-linear behavior of offshore sediments during the passing of seismic waves from earthquakes.…”
Section: Introductionmentioning
confidence: 69%
“…J. Spica et al, 2020), mine blast waveforms (Fang et al, 2020;Zeng et al, 2021), shock waves from thunder (Zhu & Stensrud, 2019), and detected T-phases and other acoustic waves (Rivet et al, 2021;Ugalde et al, 2021). Several studies have also illustrated the utility of continuous DAS data in monitoring seasonal changes in the shallow subsurface (Czarny et al, 2023;Rodríguez Tribaldos & Ajo-Franklin, 2021;Yang & Shragge, 2023). Crucial to this study, Viens 2022) recently demonstrated the ability of DAS to characterize the non-linear behavior of offshore sediments during the passing of seismic waves from earthquakes.…”
Section: Introductionmentioning
confidence: 69%