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Geodetic model of the 2016 Central Italy earthquake sequence inferred from InSAR and GPS data

Authors :
Giuseppe Solaro
Matteo Albano
V. De Novellis
Gianpaolo Cecere
Francesco Casu
Cristiano Tolomei
Carlo Doglioni
Pietro Tizzani
Mariarosaria Manzo
Giuseppe Pezzo
D. Di Bucci
Stefano Calcaterra
Raffaele Castaldo
Marco Anzidei
Vincenzo Sepe
Christian Bignami
Daniele Cheloni
M. Mattone
Antonio Avallone
Piera Gambino
Antonio Montuori
Andrea Antonioli
C. De Luca
Antonio Pepe
Grazia Pietrantonio
Susi Pepe
Emanuela Valerio
Enrico Serpelloni
Alessandro Galvani
Roberto Devoti
Ivana Zinno
Stefano Salvi
Antonietta M. Esposito
Riccardo Lanari
Simone Atzori
Marco Polcari
Michele Manunta
Manuela Bonano
Elisa Trasatti
Federica Riguzzi
R. Giuliani
Salvatore Stramondo
Source :
Geophysical Research Letters. 44:6778-6787
Publication Year :
2017
Publisher :
American Geophysical Union (AGU), 2017.

Abstract

We investigate a large geodetic data set of interferometric synthetic aperture radar (InSAR) and GPS measurements to determine the source parameters for the three main shocks of the 2016 Central Italy earthquake sequence on 24 August and 26 and 30 October (Mw 6.1, 5.9, and 6.5, respectively). Our preferred model is consistent with the activation of four main coseismic asperities belonging to the SW dipping normal fault system associated with the Mount Gorzano-Mount Vettore-Mount Bove alignment. Additional slip, equivalent to a Mw ~ 6.1–6.2 earthquake, on a secondary (1) NE dipping antithetic fault and/or (2) on a WNW dipping low-angle fault in the hanging wall of the main system is required to better reproduce the complex deformation pattern associated with the greatest seismic event (the Mw 6.5 earthquake). The recognition of ancillary faults involved in the sequence suggests a complex interaction in the activated crustal volume between the main normal faults and the secondary structures and a partitioning of strain release.

Details

ISSN :
00948276
Volume :
44
Database :
OpenAIRE
Journal :
Geophysical Research Letters
Accession number :
edsair.doi...........5ff3ff8300cf06a209f03610f5c47eea
Full Text :
https://doi.org/10.1002/2017gl073580