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Joint ambient noise and earthquake tomography of the Central Mediterranean region

Urheber*innen

Eckel,  Felix
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

El-Sharkawy,  Amr
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Scarfì,  Luciano
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Barberi,  Graziella
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Langer,  Horst
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Lebedev,  Sergei
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Meier,  Thomas
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Zitation

Eckel, F., El-Sharkawy, A., Scarfì, L., Barberi, G., Langer, H., Lebedev, S., Meier, T. (2023): Joint ambient noise and earthquake tomography of the Central Mediterranean region, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-1587


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018017
Zusammenfassung
Surface wave tomography is a powerful tool for resolving crustal and upper mantle structures without the need of local sources. In this study, we present a 3D model of the Southern Italy and Central Mediterranean region based on the joint inversion of ambient noise and earthquake data. The input data consists of 11 900 phase velocity dispersion curves between 2 and 100 seconds obtained from ambient noise cross correlations and 81 000 phase velocity curves between 8 and 250 seconds obtained from averaging earthquake measurements using the two-station method. The two quality controlled datasets are merged using a correction factor that is derived from inter-station paths where both types of measurements are available. Azimuthally anisotropic Rayleigh wave phase velocity maps are calculated using a regularized least square approach. The phase velocity maps are inverted for a 3D model by applying a stochastic particle swarm optimization algorithm. The resulting 3D velocity model reveals several important features of the subsurface structure, including the subducted Calabrian and Hellenic slabs as well as a slab tear beneath Sicily. Moreover, the model images for example the transition from the Ionian Lithosphere to the Calabrian Slab, deformation of the Adriatic Lithosphere and aesthenospheric flow beneath the Tyrrhenian Sea. These results provide valuable insights into the evolution of the subduction zones in the Adriatic and Central Mediterranean region.