Geolocalization of Large-Scale DAS Channels Using a GPS-Tracked Moving Vehicle

Author:

Biondi Ettore1ORCID,Wang Xin2,Williams Ethan F.1ORCID,Zhan Zhongwen1ORCID

Affiliation:

1. 1Seismological Laboratory, California Institute of Technology, Pasadena, California, U.S.A.

2. 2Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, Peoples’s Republic of China

Abstract

Abstract Geolocalization of distributed acoustic sensing (DAS) array channels represents a crucial step whenever the technology is deployed in the field. Commonly, the geolocalization is performed using point-wise active-source experiments, known as tap tests, conducted in the vicinity of the recording fiber. However, these controlled-source experiments are time consuming and greatly diminish the ability to promptly deploy such systems, especially for large-scale DAS experiments. We present a geolocalization methodology for DAS instrumentation that relies on seismic signals generated by a geotracked vehicle. We demonstrate the efficacy of our workflow by geolocating the channels of two DAS systems recording data on dark fibers stretching approximately 100 km within the Long Valley caldera area in eastern California. Our procedure permits the prompt calibration of DAS channel locations for seismic-related applications such as seismic hazard assessment, urban-noise monitoring, wavespeed inversion, and earthquake engineering. We share the developed set of codes along with a tutorial guiding users through the entire mapping process.

Publisher

Seismological Society of America (SSA)

Subject

Geophysics

Reference21 articles.

1. Distributed acoustic sensing using dark fiber for near-surface characterization and broadband seismic event detection;Ajo-Franklin;Sci. Rep.,2019

2. Using Telecommunication fiber infrastructure for earthquake monitoring and near-surface characterization;Biondi,2021

3. Automated ambient noise processing applied to fiber optic seismic acquisition (DAS);Huot,2018

4. Long-range seismicity monitoring with DAS;Karrenbach,2021

5. Distributed acoustic sensing in volcano-glacial environments-Mount Meager, British Columbia;Klaasen;J. Geophys. Res.,2021

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3