Cargando…

Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area

ABSTRACT: Distributed acoustic sensing (DAS) is a novel seismic observation system developed in recent years that can realize ultrahigh density observations and has attracted extensive attention in the field of seismology. DAS uses fiber-optic cables as sensing units, which are easy to incorporate w...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Zhenghong, Zeng, Xiangfang, Xie, Jun, Bao, Feng, Zhang, Gongbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602996/
https://www.ncbi.nlm.nih.gov/pubmed/34815609
http://dx.doi.org/10.1007/s10712-021-09678-w
_version_ 1784601682326323200
author Song, Zhenghong
Zeng, Xiangfang
Xie, Jun
Bao, Feng
Zhang, Gongbo
author_facet Song, Zhenghong
Zeng, Xiangfang
Xie, Jun
Bao, Feng
Zhang, Gongbo
author_sort Song, Zhenghong
collection PubMed
description ABSTRACT: Distributed acoustic sensing (DAS) is a novel seismic observation system developed in recent years that can realize ultrahigh density observations and has attracted extensive attention in the field of seismology. DAS uses fiber-optic cables as sensing units, which are easy to incorporate with urban telecommunication fiber-optic cables for seismological observations. Compared with seismometers, DAS has the advantages of being rapidly deployed and recyclable, being able to acquire dense observations at low cost, and convenient data collection. In this study, a 5.2 km long telecom fiber-optic internet cable was utilized as a DAS array in an urban area to record ambient noise, and the noise cross-correlation function (NCF) was calculated. There are two different distribution types of ambient noise sources along the cable, regular along-road trucks (Taihe Road) and complex ambient noise, including human activities and traffic sources along and across the Jinniu road. In the first case, we constructed a 2D S-wave velocity model down to 100 m depth and a low-velocity zone was revealed. The S-wave model well explained the traffic signal along the Taihe road and the low-velocity zone is also consistent with the results obtained from co-located geophone arrays. In the second case, due to the complexity of the traffic noise distribution, empirical Green’s functions were barely achieved. Therefore, we performed a synthetic test obtaining different NCFs with different source distributions, and two specific cases that dominate the NCF results were matched. Finally, we obtained the traffic noise distribution along the road, which is consistent with the power spectra density of the ambient noise. In conclusion, by combining DAS and urban fiber-optic internet cables with urban traffic noise, we can effectively reveal the traffic activities and image shallow structures with high resolution, which could offer a reference for urban construction and disaster prevention. ARTICLE HIGHLIGHTS: DAS turns the urban fiber-optic internet cables into ultra-dense permanent seismic observation arrays. We revealed a high-resolution shallow structure using urban fiber-optic internet cables. We obtained the distribution of traffic activities along the road.
format Online
Article
Text
id pubmed-8602996
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer Netherlands
record_format MEDLINE/PubMed
spelling pubmed-86029962021-11-19 Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area Song, Zhenghong Zeng, Xiangfang Xie, Jun Bao, Feng Zhang, Gongbo Surv Geophys Article ABSTRACT: Distributed acoustic sensing (DAS) is a novel seismic observation system developed in recent years that can realize ultrahigh density observations and has attracted extensive attention in the field of seismology. DAS uses fiber-optic cables as sensing units, which are easy to incorporate with urban telecommunication fiber-optic cables for seismological observations. Compared with seismometers, DAS has the advantages of being rapidly deployed and recyclable, being able to acquire dense observations at low cost, and convenient data collection. In this study, a 5.2 km long telecom fiber-optic internet cable was utilized as a DAS array in an urban area to record ambient noise, and the noise cross-correlation function (NCF) was calculated. There are two different distribution types of ambient noise sources along the cable, regular along-road trucks (Taihe Road) and complex ambient noise, including human activities and traffic sources along and across the Jinniu road. In the first case, we constructed a 2D S-wave velocity model down to 100 m depth and a low-velocity zone was revealed. The S-wave model well explained the traffic signal along the Taihe road and the low-velocity zone is also consistent with the results obtained from co-located geophone arrays. In the second case, due to the complexity of the traffic noise distribution, empirical Green’s functions were barely achieved. Therefore, we performed a synthetic test obtaining different NCFs with different source distributions, and two specific cases that dominate the NCF results were matched. Finally, we obtained the traffic noise distribution along the road, which is consistent with the power spectra density of the ambient noise. In conclusion, by combining DAS and urban fiber-optic internet cables with urban traffic noise, we can effectively reveal the traffic activities and image shallow structures with high resolution, which could offer a reference for urban construction and disaster prevention. ARTICLE HIGHLIGHTS: DAS turns the urban fiber-optic internet cables into ultra-dense permanent seismic observation arrays. We revealed a high-resolution shallow structure using urban fiber-optic internet cables. We obtained the distribution of traffic activities along the road. Springer Netherlands 2021-11-19 2021 /pmc/articles/PMC8602996/ /pubmed/34815609 http://dx.doi.org/10.1007/s10712-021-09678-w Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Song, Zhenghong
Zeng, Xiangfang
Xie, Jun
Bao, Feng
Zhang, Gongbo
Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area
title Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area
title_full Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area
title_fullStr Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area
title_full_unstemmed Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area
title_short Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area
title_sort sensing shallow structure and traffic noise with fiber-optic internet cables in an urban area
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602996/
https://www.ncbi.nlm.nih.gov/pubmed/34815609
http://dx.doi.org/10.1007/s10712-021-09678-w
work_keys_str_mv AT songzhenghong sensingshallowstructureandtrafficnoisewithfiberopticinternetcablesinanurbanarea
AT zengxiangfang sensingshallowstructureandtrafficnoisewithfiberopticinternetcablesinanurbanarea
AT xiejun sensingshallowstructureandtrafficnoisewithfiberopticinternetcablesinanurbanarea
AT baofeng sensingshallowstructureandtrafficnoisewithfiberopticinternetcablesinanurbanarea
AT zhanggongbo sensingshallowstructureandtrafficnoisewithfiberopticinternetcablesinanurbanarea