Distributed acoustic sensing for seismic activity monitoring
Abstract
Continuous, real-time monitoring of surface seismic activity around the globe is of great interest for acquiring new insight into global tomography analyses and for recognition of seismic patterns leading to potentially hazardous situations. The already-existing telecommunication fiber optic network arises as an ideal solution for this application, owing to its ubiquity and the capacity of optical fibers to perform distributed, highly sensitive monitoring of vibrations at relatively low cost (ultra-high density of point sensors available with minimal deployment of new equipment). This perspective article discusses early approaches on the application of fiber-optic distributed acoustic sensors (DASs) for seismic activity monitoring. The benefits and potential impact of DAS technology in these kinds of applications are here illustrated with new experimental results on teleseism monitoring based on a specific approach: the so-called chirped-pulse DAS. This technology offers promising prospects for the field of seismic tomography due to its appealing properties in terms of simplicity, consistent sensitivity across sensing channels, and robustness. Furthermore, we also report on several signal processing techniques readily applicable to chirped-pulse DAS recordings for extracting relevant seismic information from ambient acoustic noise. The outcome presented here may serve as a foundation for a novel conception for ubiquitous seismic monitoring with minimal investment.
Additional Information
© 2020 The Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Submitted: 22 November 2019 . Accepted: 27 February 2020 . Published Online: 24 March 2020. This work was supported by the project FINESSE, Grant No. MSCA-ITN-ETN-722509; the DOMINO Water JPI project under the WaterWorks2014 cofounded call by EC Horizon 2020 and Spanish MINECO; the Comunidad de Madrid and FEDER Program under Grant No. SINFOTON2-CM: P2018/NMT-4326; the Spanish Government under Project Nos. TEC2015-71127-C2-2-R, RTI2018-097957-B-C31, and RTI2018-097957-B-C33. M.R.F.M. and H.F.M. acknowledge financial support from the Spanish MICINN under Contract Nos. FJCI-2016-27881 and IJCI-2017-33856, respectively. M.A.S. acknowledges AC3E Basal Project No. FB0008 and thanks "Becas Iberoamérica Santander Universidades Convocatoria 2018" for supporting his research stay at the Universidad de Alcalá, Spain.Attached Files
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Additional details
- Eprint ID
- 102453
- Resolver ID
- CaltechAUTHORS:20200409-115739311
- Comunidad de Madrid
- P2018/NMT-4326
- European Commission
- MSCA-ITN-ETN-722509
- Ministerio de Ciencia, Innovación y Universidades (MICIU)
- IJCI-2017-33856
- Universidad de Alcalá
- Advanced Center for Electrical and Electronic Engineering
- Basal FB0008
- Fondo Europeo de Desarrollo Regional (FEDER)
- Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad
- TEC2015-71127-C2-2-R
- Ministerio de Economía, Industria y Competitividad (MINECO)
- RTI2018-097957-B-C31
- Ministerio de Economía, Industria y Competitividad (MINECO)
- RTI2018-097957-B-C33
- Ministerio de Ciencia e Innovación (MCINN)
- FJCI-2016-27881
- Ministerio de Ciencia e Innovación (MCINN)
- IJCI-2017-33856
- Becas Iberoamérica Santander Universidades Convocatoria 2018
- Created
-
2020-04-10Created from EPrint's datestamp field
- Updated
-
2022-02-02Created from EPrint's last_modified field
- Caltech groups
- Seismological Laboratory, Division of Geological and Planetary Sciences (GPS)