The effect of TiO2 and Fe2O3 on metapelitic assemblages at greenschist and amphibolite facies conditions:: mineral equilibria calculations in the system K2O-FeO-MgO-Al2O3-SiO2-H2O-TiO2-Fe2O3

被引:1033
作者
White, RW [1 ]
Powell, R
Holland, TJB
Worley, BA
机构
[1] Univ Melbourne, Sch Earth Sci, Parkville, Vic 3052, Australia
[2] Univ Cambridge, Dept Earth Sci, Cambridge CB2 3EQ, England
关键词
amphibolite facies; Fe2O3; greenschist facies; KFMASHTO; metapelite; petrogenetic grid; THERMOCALC; TiO2;
D O I
10.1046/j.1525-1314.2000.00269.x
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Mineral equilibria calculations in the system K2O-FeO-MgO-Al2O3-SiO2-H2O-TiO2-Fe2O3 (KFMASHTO) using THERMOCALC and its internally consistent thermodynamic dataset constrain the effect of TiO2 and Fe2O3 on greenschist and amphibolite facies mineral equilibria in metapelites. The end-member data and activity-composition relationships for biotite and chloritoid, calibrated with natural rock data, and activity-composition data for garnet, calibrated using experimental data, provide new constraints on the effects of TiO2 and Fe2O3 on the stability of these minerals. Thermodynamic models for ilmenite-hematite and magnetite-ulvospinel solid solutions accounting for order-disorder in these phases allow the distribution of TiO2 and Fe2O3 between oxide minerals and silicate minerals to be calculated. The calculations indicate that small to moderate amounts of TiO2 and Fe2O3 in typical metapelitic bulk compositions have little effect on silicate mineral equilibria in metapelites at greenschist to amphibolite facies, compared with those calculated in KFMASH. The addition of large amounts of TiO2 to typical pelitic bulk compositions has little effect on the stability of silicate assemblages; in contrast, rocks rich in Fe2O3 develop a markedly different metamorphic succession from that of common Barrovian sequences. In particular, Fe2O3-rich metapelites show a marked reduction in the stability fields of staurolite and garnet to higher pressures, in comparison to those predicted by KFMASH grids.
引用
收藏
页码:497 / 511
页数:15
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