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在城市地区利用光纤互联网电缆感知浅层结构和交通噪音。

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

作者信息

Song Zhenghong, Zeng Xiangfang, Xie Jun, Bao Feng, Zhang Gongbo

机构信息

State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077 China.

School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026 China.

出版信息

Surv Geophys. 2021;42(6):1401-1423. doi: 10.1007/s10712-021-09678-w. Epub 2021 Nov 19.

Abstract

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 arraysWe revealed a high-resolution shallow structure using urban fiber-optic internet cablesWe obtained the distribution of traffic activities along the road.

摘要

摘要

分布式声学传感(DAS)是近年来开发的一种新型地震观测系统,可实现超高密度观测,在地震学领域引起了广泛关注。DAS使用光纤电缆作为传感单元,便于与城市电信光纤电缆结合用于地震观测。与地震仪相比,DAS具有快速部署和可回收、能够低成本获取密集观测数据以及数据收集方便等优点。在本研究中,一条5.2公里长的电信光纤互联网电缆被用作城市地区的DAS阵列来记录环境噪声,并计算了噪声互相关函数(NCF)。沿电缆存在两种不同分布类型的环境噪声源,沿太和路分布规律的沿路卡车以及包括沿金牛路及横穿金牛路的人类活动和交通源在内的复杂环境噪声。在第一种情况下,我们构建了一个深度达100米的二维S波速度模型,揭示了一个低速带。该S波模型很好地解释了太和路沿线的交通信号,低速带也与同位置地震检波器阵列获得的结果一致。在第二种情况下,由于交通噪声分布复杂,几乎无法获得经验格林函数。因此,我们进行了合成测试,得到了不同源分布的不同NCF,并匹配了主导NCF结果的两个特定情况。最后,我们获得了沿路交通噪声分布,这与环境噪声的功率谱密度一致。总之,通过将DAS和城市光纤互联网电缆与城市交通噪声相结合,我们可以有效地揭示交通活动并高分辨率成像浅层结构,这可为城市建设和防灾提供参考。

文章亮点

DAS将城市光纤互联网电缆转变为超密集永久地震观测阵列

我们利用城市光纤互联网电缆揭示了高分辨率浅层结构

我们获得了沿路交通活动的分布情况

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83be/8602996/b5e0d523afe2/10712_2021_9678_Fig1_HTML.jpg

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