Abstract

Natural hazard prediction and efficient crust exploration require dense seismic observations both in time and space. Seismological techniques provide ground-motion data, whose accuracy depends on sensor characteristics and spatial distribution. Here we demonstrate that dynamic strain determination is possible with conventional fibre-optic cables deployed for telecommunication. Extending recently distributed acoustic sensing (DAS) studies, we present high resolution spatially un-aliased broadband strain data. We recorded seismic signals from natural and man-made sources with 4-m spacing along a 15-km-long fibre-optic cable layout on Reykjanes Peninsula, SW-Iceland. We identify with unprecedented resolution structural features such as normal faults and volcanic dykes in the Reykjanes Oblique Rift, allowing us to infer new dynamic fault processes. Conventional seismometer recordings, acquired simultaneously, validate the spectral amplitude DAS response between 0.1 and 100 Hz bandwidth. We suggest that the networks of fibre-optic telecommunication lines worldwide could be used as seismometers opening a new window for Earth hazard assessment and exploration.

Details

Title
Dynamic strain determination using fibre-optic cables allows imaging of seismological and structural features
Author
Jousset, Philippe 1   VIAFID ORCID Logo  ; Reinsch, Thomas 1   VIAFID ORCID Logo  ; Ryberg, Trond 1 ; Blanck, Hanna 2 ; Clarke, Andy 3 ; Aghayev, Rufat 3 ; Hersir, Gylfi P 2 ; Henninges, Jan 1 ; Weber, Michael 4   VIAFID ORCID Logo  ; Krawczyk, Charlotte M 5   VIAFID ORCID Logo 

 GFZ German Research Centre for Geosciences, Potsdam, Germany 
 ÍSOR Iceland GeoSurvey, Reykjavik, Iceland 
 Silixa Ltd., Elstree, UK 
 GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute of Earth and Environmental Science, University of Potsdam, Potsdam, Germany 
 GFZ German Research Centre for Geosciences, Potsdam, Germany; Institute for Applied Geosciences, Technical University Berlin, Berlin, Germany 
Pages
1-11
Publication year
2018
Publication date
Jul 2018
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2063687899
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.