This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.
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Abstract
Seismic anisotropy mainly originates from the crystallographic preferred orientation (CPO) of minerals deformed in the convective mantle flow. While fabric transitions have been previously observed in experiments, their influence on large-scale anisotropy is not well documented. Here, we implement 2D geodynamic models of intra-oceanic subduction coupled with mantle fabric modelling to investigate the combined effect of pressure (P)- and water-dependent microscopic flow properties of upper mantle and upper transition zone (UTZ) minerals, respectively, on large-scale anisotropy. Our results for the upper mantle correlate well with observations, implying that the P-dependence of olivine fabrics is sufficient to explain the variability of anisotropy. Meanwhile, a dry UTZ tends to be near-isotropic whereas a relatively wet UTZ could produce up to 1% azimuthal and ∼ 2% radial anisotropy. Because water facilitates CPO development, it is therefore likely a requirement to explain the presence of anisotropy in the transition zone close to subducting slabs.
DOI
https://doi.org/10.31223/X5S70Z
Subjects
Earth Sciences
Keywords
Seismic anisotropy, Subduction zone, Crystallographic Preferred Orientation, upper mantle, mantle transition zone
Dates
Published: 2024-07-27 18:16
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License
CC BY Attribution 4.0 International
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Data Availability (Reason not available):
Subduction flow modelling was done using the open software ASPECT (https:// aspect.geodynamics.org/), and fabric calculations were performed using VPSC (https:// github.com/lanl/VPSC code) The Fast Fourier Homogenization (FFH) code can be made available upon reasonable request to Y. Capdeville. Its foundation is based upon the following in-text citation references: (Capdeville et al., 2015) and (Capdeville & M´etivier, 2018). This study is entirely numerical. The input files for Aspect and VPSC, useful routines for calculating single crystal elastic constants and CRSS as a function of P and T, and output elastic tensor files can be found in https://doi.org/10.5281/zenodo.12774418.
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