Near-surface characterization using urban traffic noise recorded by fiber-optic distributed acoustic sensing

The recently developed fiber-optic distributed acoustic sensing (DAS) technology has attracted widespread attention in engineering applications, oil exploration, and seismological research. Compared with the conventional geophones, DAS can acquire high-resolution data due to a dense sampling and can...

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Veröffentlicht in:Frontiers in earth science (Lausanne) 2022-08, Vol.10
Hauptverfasser: Shao, Jie, Wang, Yibo, Zheng, Yikang, Yao, Yi, Wu, Shaojiang, Yang, Zesheng, Xue, Qingfeng
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Sprache:eng
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Zusammenfassung:The recently developed fiber-optic distributed acoustic sensing (DAS) technology has attracted widespread attention in engineering applications, oil exploration, and seismological research. Compared with the conventional geophones, DAS can acquire high-resolution data due to a dense sampling and can be deployed conveniently in the complex acquisition environment. These advantages of DAS make it promising for near-surface characterization in the urban city. In this study, a DAS line was utilized to record traffic noise seismic data in the urban city and to investigate the near-surface characterization. Seismic surface waves were reconstructed from the acquired traffic noises using seismic interferometry. Thereafter, we obtain the near-surface shear wave velocity profile below the DAS line by surface wave dispersion curve inversion using a Bayesian Markov Chain Monte Carlo method. The results demonstrate the effectiveness of DAS-based urban traffic noise in near-surface characterization.
ISSN:2296-6463
2296-6463
DOI:10.3389/feart.2022.943424