EGU24-3769, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-3769
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Uppermost mantle radial anisotropy based on double-beamforming of ambient noise cross correlation beneath Iranian plateau

Ramin Movaghari and Yingjie Yang
Ramin Movaghari and Yingjie Yang
  • Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China.

The continental lithosphere of the Iranian plateau is complicated by a multitude of tectonic processes resulting from the convergence between the Arabian and Eurasian plates. In order to investigate the deformation mechanisms of the uppermost mantle, this study presents a radial anisotropy model beneath the Iranian Plateau constructed by long period (10-100 s) Rayleigh and Love waves from ambient noise data. The broadband Rayleigh and Love signals are extracted from continuous data recorded by 88 seismic stations using a double-beamforming algorithm. Due to utilizing long period surface waves, we apply finite-frequency ambient noise tomography to generate two-dimensional dispersion maps. These phase velocity maps are consistent with those obtained from conventional methods. Finally, we invert Rayleigh and Love local phase velocity dispersion curves using a Bayesian Markov chain Monte Carlo inversion method. The obtained radial anisotropy model shows negative values in Central Iran suggesting a horizontal character of the minerals likely due to a channelized asthenospheric flow in the upper mantle.

How to cite: Movaghari, R. and Yang, Y.: Uppermost mantle radial anisotropy based on double-beamforming of ambient noise cross correlation beneath Iranian plateau, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3769, https://doi.org/10.5194/egusphere-egu24-3769, 2024.