中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Imaging of train noise with heavy traffic events recorded by distributed acoustic sensing

文献类型:期刊论文

作者Zhang, Hanyu5; Xing, Lei3,4; Zheng, Xingpeng4; Xu, Tuanwei2; Deng, Dimin2; Sun, Mingbo1; Liu, Huaishan4; Wu, Shiguo5
刊名GEOPHYSICAL PROSPECTING
出版日期2024-09-04
页码15
关键词acoustic distributed acoustic sensing imaging interferometry of cross-coherence noise imaging train noise
ISSN号0016-8025
DOI10.1111/1365-2478.13597
英文摘要Train noise is a kind of green, non-destructive and strong-energy artificial seismic sources, which is widely used in railway safety monitoring, near-surface imaging and urban underground space exploration. Distributed acoustic sensing is a new seismic acquisition technology, which has the advantages of dense sampling, simple deployment and strong anti-electromagnetic interference ability. In recent years, distributed acoustic sensing has been gradually applied in the fields of urban traffic microseism monitoring, crack detection and underground space imaging. However, previous studies mainly focused on microseism interferometry using train event coda noise, and there is limited research on the workflow of interferometry imaging using distributed acoustic sensing-based heavy train events noise (with short coda windows), which produces an abundant of near-source interference. Aiming at proving the effectiveness of this idea, we investigated a process workflow to get underground shear-velocity structure based on distributed acoustic sensing recorded heavy traffic noise near Qinhuangdao train station. A weighted sliding absolute average method is used to weaken the strong amplitude to the coda wave level and reduce the near-source influence. We demonstrated that the cross-coherence interferometry method, after spectral whitening, has the best effect on sidelobe suppression in the virtual source surface wave shot gathers, through a comparative analysis of cross-correlation and cross-coherence results. For obtaining concentrated energy and strong continuity in phase velocity spectra, we selected the time windows with high spatial coherence and signal-to-noise ratio not less than 1.2 for stacking from 720 time windows in F-K domain. When dividing subarrays to extract pseudo-two-dimensional profile, we set the overlap rate between adjacent time windows to 80% to increase stacking times, enhancing the precision of phase velocity spectra and reducing the errors of picking dispersion curve. Our results show that heavy traffic train events noise (non-pure coda) can be used to detect underground velocity structure with clear dispersion and high inversion reliability. This research provides a new processing flow for distributed acoustic sensing train noise imaging and can be applied in future urban underground space exploration.
WOS关键词INVERSION ; PRESSURE
资助项目The 2020 Research Program of Sanya Yazhou Bay Science and Technology[2020-01-009] ; Qingdao science and technology benefit the people demonstration project[23-2-8-cspz-5-nsh] ; The 'Strategic Priority Research Program' of the Chinese Academy of Sciences[XDA22040105] ; Study on high-resolution sequence stratigraphy of the shelf seabed of Hainan Island[HNHYDZZYHJZZ003] ; National Natural Science Foundation of China[42276055] ; Hainan Provincial Natural Science Foundation of China[421MS0814]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:001303904900001
出版者WILEY
资助机构The 2020 Research Program of Sanya Yazhou Bay Science and Technology ; Qingdao science and technology benefit the people demonstration project ; The 'Strategic Priority Research Program' of the Chinese Academy of Sciences ; Study on high-resolution sequence stratigraphy of the shelf seabed of Hainan Island ; National Natural Science Foundation of China ; Hainan Provincial Natural Science Foundation of China
源URL[http://ir.idsse.ac.cn/handle/183446/11420]  
专题深海科学研究部_深海地球物理与资源研究室
通讯作者Xing, Lei
作者单位1.Hainan Ecoenvironm Geol Survey Inst, Haikou, Peoples R China
2.Chinese Acad Sci, Inst Semicond, State Key Lab Transducer Technol, Beijing, Peoples R China
3.Key Lab Marine Geophys Prospecting Technol Qingdao, Qingdao, Peoples R China
4.Ocean Univ China, Key Lab Submarine Geosci & Prospecting Tech, Minist Educ, Qingdao, Peoples R China
5.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Hainan Key Lab Marine Georesource & Prospecting, Sanya, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Hanyu,Xing, Lei,Zheng, Xingpeng,et al. Imaging of train noise with heavy traffic events recorded by distributed acoustic sensing[J]. GEOPHYSICAL PROSPECTING,2024:15.
APA Zhang, Hanyu.,Xing, Lei.,Zheng, Xingpeng.,Xu, Tuanwei.,Deng, Dimin.,...&Wu, Shiguo.(2024).Imaging of train noise with heavy traffic events recorded by distributed acoustic sensing.GEOPHYSICAL PROSPECTING,15.
MLA Zhang, Hanyu,et al."Imaging of train noise with heavy traffic events recorded by distributed acoustic sensing".GEOPHYSICAL PROSPECTING (2024):15.

入库方式: OAI收割

来源:深海科学与工程研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。