Urban Near-Surface Seismic Monitoring Using Distributed Acoustic Sensing

被引:91
|
作者
Fang, Gang [1 ,2 ]
Li, Yunyue Elita [1 ]
Zhao, Yumin [1 ]
Martin, Eileen R. [3 ]
机构
[1] Natl Univ Singapore, Dept Civil & Environm Engn, Singapore, Singapore
[2] Minist Land & Resources, Key Lab Marine Hyocarbon Resources & Environm Geo, Qingdao Inst Marin Geol, Qingdao, Peoples R China
[3] Virginia Polytech Inst & State Univ, Dept Math, Program Computat Modeling & Data Analyt, Blacksburg, VA 24061 USA
基金
中国国家自然科学基金;
关键词
distributed acoustic sensing; urban seismology; near surface; passive seismic; seismic monitoring; FIBER; TOMOGRAPHY; NOISE;
D O I
10.1029/2019GL086115
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Urban subsurface monitoring requires high temporal-spatial resolution, low maintenance cost, and minimal intrusion to nearby life. Distributed acoustic sensing (DAS), in contrast to conventional station-based sensing technology, has the potential to provide a passive seismic solution to urban monitoring requirements. Based on data recorded by the Stanford Fiber Optic Seismic Observatory, we demonstrate that near-surface velocity changes induced by the excavation of a basement construction can be monitored using existing fiber optic infrastructure in a noisy urban environment. To achieve satisfactory results, careful signal processing comprising of noise removal and source signature normalization are applied to raw DAS recordings. Repeated blast signals from quarry sites provide free, unidirectional, and near-impulsive sources for periodic urban seismic monitoring, which are essential for increasing the temporal resolution of passive seismic methods. Our study suggests that DAS will likely play an important role in urban subsurface monitoring. Plain Language Summary Seismic monitoring can provide crucial information about near-surface changes due to natural or manmade activities. However, the high cost and the "after-effect" nature of conventional station-based monitoring methods limit their application in urban environments where near real-time and meter-scale resolution are required. Distributed acoustic sensing has the potential to achieve all requirements utilizing existing communication infrastructure. Using Stanford Fiber Optic Seismic Observatory, we demonstrate that its recordings of quarry blasts 13.3 km away carry important subsurface velocity information within the footprint of the array. These short bursts of quarry blast signals provide us free, unidirectional, and repetitive sources that sample the urban subsurface at an interval frequent enough for monitoring. We observe large velocity decrease from the recordings close to the excavation site. Our study suggests that telecommunications fiber repurposed for distributed acoustic sensing will potentially play an important role in many urban subsurface monitoring applications.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Seismic Monitoring With Distributed Acoustic Sensing From the Near-Surface to the Deep Oceans
    Fernandez-Ruiz, Maria R.
    Martins, Hugo F.
    Williams, Ethan F.
    Becerril, Carlos
    Magalhaes, Regina
    Costa, Luis
    Martin-Lopez, Sonia
    Jia, Zhensheng
    Zhan, Zhongwen
    Gonzalez-Herraez, Miguel
    [J]. JOURNAL OF LIGHTWAVE TECHNOLOGY, 2022, 40 (05) : 1453 - 1463
  • [2] Near-surface characterization using distributed acoustic sensing in an urban area: Granada, Spain
    Li, Yang
    Perton, Mathieu
    Gaite, Beatriz
    Ruiz-Barajas, Sandra
    Spica, Zack J.
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 2023, 235 (02) : 1849 - 1860
  • [3] Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection
    Jonathan B. Ajo-Franklin
    Shan Dou
    Nathaniel J. Lindsey
    Inder Monga
    Chris Tracy
    Michelle Robertson
    Veronica Rodriguez Tribaldos
    Craig Ulrich
    Barry Freifeld
    Thomas Daley
    Xiaoye Li
    [J]. Scientific Reports, 9
  • [4] Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection
    Ajo-Franklin, Jonathan B.
    Dou, Shan
    Lindsey, Nathaniel J.
    Monga, Inder
    Tracy, Chris
    Robertson, Michelle
    Tribaldos, Veronica Rodriguez
    Ulrich, Craig
    Freifeld, Barry
    Daley, Thomas
    Li, Xiaoye
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [5] Near-surface characterization using a roadside distributed acoustic sensing array
    Yuan, Siyuan
    Lellouch, Ariel
    Clapp, Robert G.
    Biondi, Biondo
    [J]. Leading Edge, 2020, 39 (09): : 646 - 653
  • [6] Near-surface characterization using urban traffic noise recorded by fiber-optic distributed acoustic sensing
    Shao, Jie
    Wang, Yibo
    Zheng, Yikang
    Yao, Yi
    Wu, Shaojiang
    Yang, Zesheng
    Xue, Qingfeng
    [J]. FRONTIERS IN EARTH SCIENCE, 2022, 10
  • [7] Illuminating Urban Near-Surface with Distributed Acoustic Sensing Multimodal Noise Surface-Wave Imaging
    Lei, Yuhang
    Wang, Baoshan
    [J]. SEISMOLOGICAL RESEARCH LETTERS, 2024, 95 (05) : 2939 - 2953
  • [8] Near-Surface Characterization Using High-Speed Train Seismic Data Recorded by a Distributed Acoustic Sensing Array
    Shao, Jie
    Wang, Yibo
    Chen, Ling
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [9] Seismic monitoring of rockfalls using distributed acoustic sensing
    Xie, Tao
    Zhang, Cheng-Cheng
    Shi, Bin
    Wang, Zheng
    Zhang, Si-Si
    Yin, Jun
    [J]. ENGINEERING GEOLOGY, 2023, 325
  • [10] Directional sources and distributed acoustic sensing deployments for near-surface characterization
    Abukrat, Yarin
    Sinitsyn, Pavel
    Reshef, Moshe
    Lellouch, Ariel
    [J]. GEOPHYSICS, 2023, 88 (06) : WC121 - WC131