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Expérience SIMBAAD (Egée-Anatolie): données, analyses, résultats

Expérience SIMBAAD (Egée-Anatolie): données, analyses, résultats. Anne Paul, ISTerre , Grenoble & Simbaad Team*. * ISTerre Grenoble, KOERI Istanbul, Aristotle Univ . Thessaloniki, Géosciences Rennes, ISTO Orléans, IPG Paris, Acad. Sciences Sofia, … .

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Expérience SIMBAAD (Egée-Anatolie): données, analyses, résultats

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  1. Expérience SIMBAAD (Egée-Anatolie): données, analyses, résultats Anne Paul, ISTerre, Grenoble & SimbaadTeam* * ISTerre Grenoble, KOERI Istanbul, AristotleUniv. Thessaloniki, Géosciences Rennes, ISTO Orléans, IPG Paris, Acad. Sciences Sofia, …

  2. Une zone clé pour tester des modèles géodynamiques: • sur les relations entre dynamique du manteau et tectonique/dynamique de surface, • sur le moteur du déplacement rapide de l’Anatolie vers l’ouest Le Pichon & Kreemer, 2010

  3. Expérience sismologique temporaire SIMBAAD : • 83 stations dans 3 pays (cercles) • 37 stations VBB (2 ans, 2007-2009) • 2 profils de 23 stations BB (1 an chacun)

  4. DatasetSimbaad : 2.5 Tb de données (miniseed) • 0.9 Tb de 83 stations temporaires • 1.6 Tb de 148 stations permanentes Beaucoup de données de stations permanentes non-publiques: formats d’origine hétérogènes, dataless à construire: gros travail d’homogénéisation

  5. Lessonslearnt • Field work: • Local technical staff hired for the project • Need for homogeneous, modern station pool • Need for (quasi) real-time communication with stations (data transmission, state-of-health): for QC • Database construction: • manpower: as strongneed as for fieldwork • a big challenge: homogeneousdatabase (in Seed format) fromtemporary and permanent (non public-access) stations

  6. Data analysis • Structure: • Receiverfunctions crustal structure of W-Anatolia (Karabulut et al., in prep.) • Ambient noise correlations group velocitymaps 7-30s  3-D crustal Vs model (Ph-D F. Hubans;Hubans et al., in prep.) • Teleseismic surface waves phase velocitymaps40-200s  3-D mantle Vs model to 300-km depth (Ph-D G. Salaün; Salaün et al., in prep.) • Combined inversion of RF and dispersion curves improved 3-D crustal model (Ph-D T. Afacan) • Mantledynamics: • SKS splitting shear-waveanisotropy (Ph-D A. KomecMutlu; Paul et al., in prep.)

  7. Mohodepthmapfromambient noise tomography Aktug et al. (2009) Ph-D F. Hubans (2010) 28.5-29°E: easternboundary of the area of strong N-S extension AND abrupt change in Mohodepth

  8. 3-D mantle Vs model from inversion of Rayleigh wave phase velocity dispersion Ph-D G. Salaün; Salaün et al., in prep.

  9. Shear-waveanisotropyfromSKS splittingmeasurements Ph-D A. KomecMutlu

  10. Variations of Фwith longitude Progressive decrease of Фwestward, fromeasternAnatolia to continental Greece The counterclockwise rotation of the polarization of the fastwavestarts W of ~35°E, with an accelerationat28-29°E 3. A different pattern in SW Anatoliawith NNW-SSE orientation

  11. Calcul rapide d’observables • Corrélations de bruit: calcul automatisé et optimisé (ERC Whisper) • Beamforming sur le bruit (origine du bruit): en cours d’automatisation (ERC Whisper) • Pointé automatique des ondes de volume: recuit simulé Monteiller & Chevrot? • Anisotropie SKS: Splitlab automatisé (Bokelmann?)?; intensité de splitting (Monteiller & Chevrot)? • Fonctions-récepteur: Vergne? • Mesures de dispersion ondes de surface: Vgroupe à partir des corrélations de bruit, Vphase sur les enregistrements de téléséismes; inversion simultanée des 2 (à faire)

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