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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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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 |
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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 |
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