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Ambient-noise tomography of the wider Vienna Basin region

Authors :
Schippkus, Sven
Zigone, Dimitri
Bokelmann, Götz
Hetenyi, György
Abreu, Rafael
Allegretti, Ivo
Apoloner, Maria-Theresia
Aubert, Coralie
Besancon, Simon
Bes de Berc, Maxime
Brunel, Didier
Capello, Marco
Carman, Martina
Cavaliere, Adriano
Cheze, Jerome
Chiarabba, Claudio
Clinton, John
Cougoulat, Glenn
Crawford, Wayne C.
Cristiano, Luigia
Czifra, Tibor
D'Alema, Ezio
Danesi, Stefania
Daniel, Romuald
Dannowski, Anke
Dasovic, Iva
Deschamps, Anne
Dessa, Jean-Xavier
Doubre, Cecile
Egdorf, Sven
Fiket, Tomislav
Fischer, Kasper
Friederich, Wolfgang
Fuchs, Florian
Funke, Sigward
Giardini, Domenico
Govoni, Aladino
Graczer, Zoltan
Gröschl, Gidera
Heimers, Stefan
Heit, Ben
Herak, Davorka
Huber, Johann
Jaric, Dejan
Jedlicka, Petr
Jia, Yan
Jund, Helene
Kissling, Edi
Klingen, Stefan
Klotz, Bernhard
Kolinsky, Petr
Kopp, Heidrun
Korn, Michael
Kotek, Josef
Kühne, Lothar
Kuk, Kreso
Lange, Dietrich
Loos, Jürgen
Lovati, Sara
Malengros, Deny
Margheriti, Lucia
Maron, Christophe
Martin, Xavier
Massa, Marco
Mazzarini, Francesco
Meier, Thomas
Metral, Laurent
Molinari, Irene
Moretti, Milena
Munzarova, Helena
Nardi, Anna
Pahor, Jurij
Paul, Anne
Pequegnat, Catherine
Petersen, Daniel
Pesaresi, Damiano
Piccinini, Davide
Piromallo, Claudia
Plenefisch, Thomas
Plomerova, Jaroslava
Pondrelli, Silvia
Prevolnik, Snjezan
Racine, Roman
Regnier, Marc
Reiss, Miriam
Ritter, Joachim
Rümpker, Georg
Salimbeni, Simone
Santulin, Marco
Scherer, Werner
Schulte-Kortnack, Detlef
Sipka, Vesna
Solarino, Stefano
Spallarossa, Daniele
Spieker, Kathrin
Stipcevic, Josip
Strollo, Angelo
Süle, Balint
Szanyi, Gyöngyver
Szücs, Eszter
Thomas, Christine
Thorwart, Martin
Tilmann, Frederik
Ueding, Stefan
Vallocchia, Massimiliano
Vecsey, Ludek
Voigt, Rene
Wassermann, Joachim
Weber, Zoltan
Weidle, Christian
Wesztergom, Viktor
Weyland, Gauthier
Wiemer, Stefan
Wolf, Felix Noah
Wolyniec, David
Zieke, Thomas
Zivcic, Mladen
Institut für Meteorologie und Geophysik [Wien] (IMGW)
Universität Wien
Sismologie (IPGS) (IPGS-Sismologie)
Institut de physique du globe de Strasbourg (IPGS)
Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Source :
Geophysical Journal International, Geophysical Journal International, Oxford University Press (OUP), 2018, 215 (1), pp.102-117. ⟨10.1093/gji/ggy259⟩, Geophysical Journal International, 215 (1). pp. 102-117.
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

International audience; We present a new 3-D shear-velocity model for the top 30 km of the crust in the wider Vienna Basin region based on surface waves extracted from ambient-noise cross-correlations. We use continuous seismic records of 63 broad-band stations of the AlpArray project to retrieve interstation Green's functions from ambient-noise cross-correlations in the period range from 5 to 25 s. From these Green's functions, we measure Rayleigh group traveltimes, utilizing all four components of the cross-correlation tensor, which are associated with Rayleigh waves (ZZ, RR, RZ and ZR), to exploit multiple measurements per station pair. A set of selection criteria is applied to ensure that we use high-quality recordings of fundamental Rayleigh modes. We regionalize the interstation group velocities in a 5 km × 5 km grid with an average path density of ∼20 paths per cell. From the resulting group-velocity maps, we extract local 1-D dispersion curves for each cell and invert all cells independently to retrieve the crustal shear-velocity structure of the study area. The resulting model provides a previously unachieved lateral resolution of seismic velocities in the region of ∼15 km. As major features, we image the Vienna Basin and Little Hungarian Plain as low-velocity anomalies, and the Bohemian Massif with high velocities. The edges of these features are marked with prominent velocity contrasts correlated with faults, such as the Alpine Front and Vienna Basin transfer fault system. The observed structures correlate well with surface geology, gravitational anomalies and the few known crystalline basement depths from boreholes. For depths larger than those reached by boreholes, the new model allows new insight into the complex structure of the Vienna Basin and surrounding areas, including deep low-velocity zones, which we image with previously unachieved detail. This model may be used in the future to interpret the deeper structures and tectonic evolution of the wider Vienna Basin region, evaluate natural resources, model wave propagation and improve earthquake locations, among others.

Details

Language :
English
ISSN :
0956540X and 1365246X
Database :
OpenAIRE
Journal :
Geophysical Journal International, Geophysical Journal International, Oxford University Press (OUP), 2018, 215 (1), pp.102-117. ⟨10.1093/gji/ggy259⟩, Geophysical Journal International, 215 (1). pp. 102-117.
Accession number :
edsair.doi.dedup.....aaf3798d1891f4626fe60a39cecb8ff8
Full Text :
https://doi.org/10.1093/gji/ggy259⟩