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

被引:16
作者
Shao, Jie [1 ,2 ]
Wang, Yibo [1 ,2 ]
Zheng, Yikang [1 ,2 ]
Yao, Yi [1 ,2 ]
Wu, Shaojiang [1 ,2 ]
Yang, Zesheng [1 ,2 ]
Xue, Qingfeng [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing, Peoples R China
[2] Chinese Acad Sci, Innovat Acad Earth Sci, Beijing, Peoples R China
基金
国家重点研发计划;
关键词
fiber-optic distributed acoustic sensing; near-surface characterization; urban traffic noise; seismic interferometry; Surface wave; INTERFEROMETRIC INTERPOLATION; INVERSION;
D O I
10.3389/feart.2022.943424
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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.
引用
收藏
页数:11
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