Abstract
Constraints on crustal and uppermost mantle structure provide key information for understanding the geodynamic processes that have shaped the geological expressions and are currently causing deformation in Anatolia. We apply a novel method of Bayesian inversion of autocorrelated teleseismic P-wave coda data to retrieve the crustal and uppermost mantle structures beneath Anatolia and southeast Europe. Our inversion provides estimates of Moho depth variations and crustal velocity structure (e.g., Vp, Vs, and Vp/Vs ratio). The Moho architecture in the study area can be summarized by (a) an overall west-to-east increase in the Moho depth from Greece to eastern Anatolia, (b) a homogeneously thin crustal structure beneath Greece, (c) complex, small-scale crustal features and variations in western and central Anatolia, and (d) relatively long-wavelength variations, but overall thick crust in eastern Anatolia. The apparent relation between the Moho depth variations and suture/fault zones implies a dominant control of structural inheritance on the past deformation in Anatolia. The overall Moho architecture appears to correlate well with the topography in Anatolia, although with some exceptions, in particular at smaller wavelength. These local inconsistencies in the topography-Moho depth relation suggest a more complex, wavelength-dependent isostatic state compared to what is expected from simple Airy isostasy. The observed deviations may originate from elastic effects, lithospheric density changes, or sub-lithospheric dynamic effects. Obvious large lateral variations in Vp, Vs and Vp/Vs ratio estimates in our model can relate to such density variations within the crust especially between tectonic domains.
Original language | English |
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Article number | e2021JB023184 |
Journal | Journal of Geophysical Research: Solid Earth |
Volume | 126 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2021 |
Bibliographical note
Publisher Copyright:© 2021. American Geophysical Union. All Rights Reserved.
Funding
We are grateful to the Kandilli Observatory and Earthquake Research Institute (KOERI), Regional Earthquake‐Tsunami Monitoring Center (KOERI‐NEMC), the Incorporated Research Institutions for Seismology Data Management Center (IRIS‐DMC) and the ORFEUS Data Center for making continuous broad‐band data open to the international scientific community. Derya Keleş, Ceyhun Erman, and Judith Confal are especially thanked for their assistance during the preparation of Figures 1 and 2 . This work is performed within the framework of a project (ITU‐BAP 39031) that is financially supported by Istanbul Technical University, Scientific Research Program (ITU‐BAP). Tuna Eken and Tuncay Taymaz acknowledge financial support from Alexander von Humboldt Foundation (AvH) towards computational and peripherals resources. Mehdi Tork Qashqai and Erdinc Saygin were supported by the Deep Earth Imaging Future Science Platform of CSIRO. Christian Schiffer is funded by the Swedish Research Council (Vetenskapsrådet, 2019‐04843). We appreciate editor Michael Bostock, Associate Editor, and two anonymous reviewers for their valuable efforts that greatly helped in improving this article. We are grateful to the Kandilli Observatory and Earthquake Research Institute (KOERI), Regional Earthquake-Tsunami Monitoring Center (KOERI-NEMC), the Incorporated Research Institutions for Seismology Data Management Center (IRIS-DMC) and the ORFEUS Data Center for making continuous broad-band data open to the international scientific community. Derya Kele?, Ceyhun Erman, and Judith Confal are especially thanked for their assistance during the preparation of Figures?1 and?2. This work is performed within the framework of a project (ITU-BAP 39031) that is financially supported by Istanbul Technical University, Scientific Research Program (ITU-BAP). Tuna Eken and Tuncay Taymaz acknowledge financial support from Alexander von Humboldt Foundation (AvH) towards computational and peripherals resources. Mehdi Tork Qashqai and Erdinc Saygin were supported by the Deep Earth Imaging Future Science Platform of CSIRO. Christian Schiffer is funded by the Swedish Research Council (Vetenskapsr?det, 2019-04843). We appreciate editor Michael Bostock, Associate Editor, and two anonymous reviewers for their valuable efforts that greatly helped in improving this article.
Funders | Funder number |
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Ceyhun Erman | ITU‐BAP 39031 |
Deep Earth Imaging Future Science Platform of CSIRO | |
IRIS-DMC | |
KOERI-NEMC | |
Kandilli Observatory and Earthquake Research Institute | |
Regional Earthquake-Tsunami Monitoring Center | |
Vetenskapsr?det | |
Alexander von Humboldt-Stiftung | |
Vetenskapsrådet | 2019‐04843 |
Istanbul Teknik Üniversitesi | ITU‐BAP |
Keywords
- Anatolia
- Bayesian inversion
- Moho
- crust
- seismic velocities
- uppermost mantle