JpGU-AGU Joint Meeting 2017

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S (Solid Earth Sciences) » S-CG Complex & General

[S-CG63] [EE] Crust-Mantle Connections / Hard-Rock Drilling

Wed. May 24, 2017 1:45 PM - 3:15 PM 104 (International Conference Hall 1F)

convener:Yoshihiko Tamura(R & D Center for Ocean Drilling Science, Japan Agency for Maine-Earth Science and Technology), Katsuyoshi Michibayashi(Institute of Geosciences, Shizuoka University), Eiichi TAKAZAWA(Department of Geology, Faculty of Science, Niigata University), Katy Jane Chamberlain(Japan Agency for Marine-Earth Science and Technology), Tomoaki Morishita(School of Natural System, Colleage of Science and Technology, Kanazawa University), Henry JB Dick(Woods Hole Oceanographic Institution), Mark K Reagan(University of Iowa), Susanne M Straub(Lamont Doherty Earth Observatory of Columbia University), Chairperson:Eiichi Takazawa(Department of Geology, Faculty of Science, Niigata University), Chairperson:Tomoaki Morishita(School of Natural System, Colleage of Science and Technology, Kanazawa University)

3:00 PM - 3:15 PM

[SCG63-12] Parameterized lattice strain model for HFSE partitioning between amphibole and silicate melt with application to arc magma evolution

*Kei Shimizu1, Yan Liang2, Erik H Hauri1 (1.Department of Terrestrial Magnetism, Carnegie Institution for Science, 2.Department of Earth, Enviornmental and Planetary Sciences, Brown University)

Keywords:amphibole, HFSE and REE partitioning, arc magma evolution

The role of amphibole fractional crystallization in generating differentiation trends in arc magmas [1, 2] can be better understood by constraining the parameters responsible for the large range in experimentally determined trace element partition coefficients between amphibole and melt. In this study, we used published experimental high field strength element (HFSE) partitioning data between amphibole and silicate melt, the lattice strain model [3], and non-linear least squares regression method to parameterize key parameters in the lattice strain model (D0, r0, and E) for amphibole as a function of pressure, temperature, and both mineral and melt compositions. In our tetravalent HFSE (Zr, Hf, Ti) partitioning model, D0 negatively correlates with Ti content in the melt, r0 negatively correlates with Ti content in the amphibole, and E positively correlates with r0. The pentavalent HFSE (Nb, Ta) partition coefficients were empirically modeled as a function of amphibole composition and DHf. Application of our HFSE partitioning models and our previous REE partitioning model [4] to experimental data simulating fractional crystallization of arc magmas [5] suggests that (1) HFSE and REE partition coefficients between amphibole and melt can vary by a factor of three and ten respectively during arc magma fractional crystallization due to variation in the amphibole and melt compositions, (2) amphibole fractional crystallization causes significant fractionation within and between HFSEs and REEs (e.g. it increases Zr/Hf and Zr/Nd ratios, and decreases Dy/Yb and Dy/Dy* ratios) in arc magmas, and finally (3) it plays a key role in buffering the HFSE and REE concentrations in arc magmas.

References
[1] Davidson et al. (2007) Geology 35(9), 787-790.
[2] Davidson et al. (2013) J. Petrol. 54(3), 525-537.
[3] Blundy & Wood (1994) Nature 372, 452-454.
[4] Shimizu et al., (2017) Am. Mineral. Submitted.
[5] Nandedkar et al. (2014) CMP 167(6), 1-27.