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  The Irpinia seismic Array

Bindi, D., Cotton, F., Picozzi, M., Zollo, A. (2021): The Irpinia seismic Array.
https://doi.org/10.14470/MX7576871994

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007368 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007368_1
Genre: Data Publication

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 Creators:
Bindi, Dino1, Author              
Cotton, Fabrice1, Author              
Picozzi, Matteo2, Author
Zollo, Aldo2, Author
Affiliations:
12.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146032              
2External Organizations, ou_persistent22              

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Free keywords: Broadband seismic waveforms, Seismic monitoring, temporary local seismic network
 Abstract: Irpinia seismic Array is part of the DEnse mulTi-paramEtriC observations and 4D high resoluTion imaging (DETECT) project focused on the acquisition of a unique multiparametric dataset and fosters collaboration among various institutions. The University of Naples Federico II (UniNa) and the German Research Centre for Geosciences (GFZ) are leading this effort carried out in collaboration with various local institutions and supported by the local municipalities. The DETECT project aims at exploiting very dense seismic networks deployed across a segmented fault system (Irpinia and Pergola-Melandro) to foster the development of scientific integrated methodologies for monitoring and imaging the fault behavior during the inter-seismic phase. The Irpinia seismic Array consists of a dense constellation of seismic antennas using more than 200 seismic stations deployed for one year. Each seismic antenna, with maximum aperture of ~2 km, uses one broad-band sensor, one short period sensor with 1 Hz and 8 with 4.5 Hz natural frequency. The antennas are deployed above and near the fault segments that generated during the last centuries many strong earthquakes in the southern Apennines. Waveform data are available from the GEOFON data centre, under network code ZK.

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Language(s): eng - English
 Dates: 20212021
 Publication Status: Finally published
 Pages: -
 Publishing info: Potsdam : GFZ Data Services
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.14470/MX7576871994
 Degree: -

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