GEOFON

 

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Cite as:

Jousset, Philippe; Currenti, Gilda; Chalari, Athena; Tilmann, Frederik; Zuccarello, Luciano (2022): Fibre-optic distributed acoustic sensing, seismological and infrasonic data set from Etna, Italy. GFZ Data Services. Other/Seismic Network. doi:10.14470/4A7563971328.

Network code:

9N

Type:

Temporary

Time Range:

2018

Terms of use:

Unknown; please acknowledge PIs

Archived at:

GFZ

Institution(s):

German Research Centre for Geosciences GFZ, Potsdam, Germany,German Research Centre for Geosciences GFZ, Potsdam, Germany, Silixa Ltd., Elstree, UK, Institute for Geological Sciences, Freie Universität Berlin, Berlin, Germany, Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, Pisa, Italy, School of Environmental Sciences, University of Liverpool, Liverpool, UK

Creator(s):

Jousset, Philippe; Currenti, Gilda; Chalari, Athena; Tilmann, Frederik; Zuccarello, Luciano

Description*:

Fibre-optic distributed acoustic sensing, seismological and infrasonic data from Etna, Italy

Abstract:

Understanding physical processes prior and during eruptions remains challenging, due to uncertainties about subsurface structures and undetected processes within the volcano. Here, the authors use a dedicated fibre-optic cable to obtain strain data and identify volcanic events and image hidden near-surface volcanic structural features at Etna volcano, Italy. In the paper Jousset et al. (2022), we detect and characterize strain signals associated with explosions, and we find evidences for non-linear grain interactions in a scoria layer of spatially variable thickness. We also demonstrate that wavefield separation allows us to incrementally investigate the ground response to various excitation mechanisms, and we identify very small volcanic events, which we relate to fluid migration and degassing. We recorded seismic signals from natural and man-made sources with 2-m spacing along a 1.5-km-long fibre-optic cable layout near the summit of actives craters of Etna volcano, Italy. Those results provide the basis for improved volcano monitoring and hazard assessment using DAS. This data publication contains the full data set used for the analysis. This data set comprises strain-rate data from 1 iDAS interrogator (~750 traces), velocity data from 15 geophones and 4 broadband seismometers, and infrasonic pressure data from infrasound sensors. For further explanation of the data and related processing steps, please refer to Jousset et al. (2022).

* Description is taken from seismic metadata, and may not match the preferred title for citations.

DataCite metadata:

HTML | JSON | XML | INSPIRE

Seismic metadata:

fdsnws-station FDSN StationXML SC3 XML

Grant:

GIPP201808

Funder:

Helmholtz Association GFZ (projects DAS@SEA and InfraDAS), Geophysical Instrumental Pool of Potsdam (GIPP)

Contributor:

We gratefully acknowledge help of the following people and institutions: David Bruhn supported the initial administrative and financial input; Michael Weber and Christian Haberland for fruitful discussions; Christian Cunow for the help with the laboratory measurements. INGV staff composed of S. Consoli, D. Contrafatto, G. Larocca, A. Messina, D. Pellegrino, M. Pulvirenti, S. Rapisarda for great help with geophone, broad-band sensors deployment, and hard work for cable deployment; The Society Guide Vulcanologiche Etna Nord for allowing us to use one of the videos from the summit activity and for collecting scoria samples; Parco dell’Etna and the municipalities (Linguaglossa and Castiglione di Sicilia) for authorizations to deploy the cable and instruments at Piano delle Concazze. Geophones, broad-band seismometers and data logger equipment are from the Geophysical Instrumental Pool of Potsdam (GIPP). The iDAS interrogator “Ella” was lent by Silixa Ltd. Geofon team helped a lot in building this data base repository.

Network KML file:

KML

Extended Network Information for network 9N _[hide/show]

Station List for Network Code 9N