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The AlpArray Research Seismicity-Catalogue

Author(s)
Bagagli, Matteo  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Molinari, Irene  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Diehl, Tobias  
Swiss Seismological Service, ETH, Zürich, 8006, Switzerland  
Kissling, Edi  
Institute of Geophysics, Department of Earth Sciences, ETH, Zürich, 8006, Switzerland  
Giardini, Domenico  
Institute of Geophysics, Department of Earth Sciences, ETH, Zürich, 8006, Switzerland  
AlpArray Working Group
Language
English
Obiettivo Specifico
1T. Struttura della Terra
4T. Sismicità dell'Italia
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Geophysical Journal International  
Issue/vol(year)
2/231 (2022)
ISSN
0956-540X
Publisher
Oxford University Press - The Royal Astronomical Society
Pages (printed)
921-943
Date Issued
June 2022
DOI
10.1093/gji/ggac226
URI
https://www.earth-prints.org/handle/2122/16201
Subjects
04.06. Seismology  
04.01. Earth Interior  
Subjects

Earthquake source obs...

Seismicity

Tectonics

Statistical seismolog...

Abstract
We take advantage of the new large AlpArray Seismic Network (AASN) as part of the AlpArray research initiative (www.alparray.ethz.ch), to establish a consistent seismicity-catalogue for the greater Alpine region (GAR) for the time period 2016 January 1–2019 December 31. We use data from 1103 stations including the AASN backbone composed of 352 permanent and 276 (including 30 OBS) temporary broad-band stations (network code Z3). Although characterized by a moderate seismic hazard, the European Alps and surrounding regions have a higher seismic risk due to the higher concentration of values and people. For these reasons, the GAR seismicity is monitored and routinely reported in catalogues by a 11 national and 2 regional seismic observatories. The heterogeneity of these data set limits the possibility of extracting consistent information by simply merging to investigate the GAR's seismicity as a whole. The uniformly spaced and dense AASN provides, for the first time, a unique opportunity to calculate high-precision hypocentre locations and consistent magnitude estimation with uniformity and equal uncertainty across the GAR. We present a new, multistep, semi-automatic method to process ∼50 TB of seismic signals, combining three different software. We used the SeisComP3 for the initial earthquake detection, a newly developed Python library ADAPT for high-quality re-picking, and the well-established VELEST algorithm both for filtering and final location purposes. Moreover, we computed new local magnitudes based on the final high-precision hypocentre locations and re-evaluation of the amplitude observations. The final catalogue contains 3293 seismic events and is complete down to local magnitude 2.4 and regionally consistent with the magnitude 3+ of national catalogues for the same time period. Despite covering only 4 yr of seismicity, our catalogue evidences the main fault systems and orogens’ front in the region, that are documented as seismically active by the EPOS-EMSC manually revised regional bulletin for the same time period. Additionally, we jointly inverted for a new regional minimum 1-D P-wave velocity model for the GAR and station delays for both permanent station networks and temporary arrays. These results provide the base for a future re-evaluation of the past decades of seismicity, and for the future seismicity, eventually improving seismic-hazard studies in the region. Moreover, we provide a unique, consistent seismic data set fundamental to further investigate this complex and seismically active area. The catalogue, the minimum 1-D P-wave velocity model, and station delays associated are openly shared and distributed with a permanent DOI listed in the data availability section.
Sponsors
The AlpArray-Switzerland project is funded by the Swiss-AlpArray SINERGIA project CRSII2_154434/1 by Swiss National Science Foundation (SNSF).
Type
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