11:15 AM - 11:30 AM
[SCG63-03] Evolution of the proto-Izu-Bonin-Mariana arc volcanism: Constraints from statistical analysis on geochemical data of melt inclusions
Keywords:Izu-Bonin-Mariana volcanic arc, Amami Sankaku Basin, Kyushu-Palau ridge, Melt inclusion, Statistical analysis
After performing cluster analysis, melt inclusion data were separated into 6 clusters termed Clusters 1 to 6. Four clusters (Clusters 1, 3, 4 and 5) are composed of basaltic to andesitic melt inclusions. Geochemical trends of these four clusters can be explained by fractional crystallization from respective primitive melts at fO2=NNO+1. Variations in the degree of partial melting and dissolved H2O concentration in melt are necessary to fully reproduce geochemical variations of melt inclusions. Cluster 1 melt inclusions (medium-K tholeiitic series) and Cluster 5 melt inclusions (calc-alkaline high-Mg andesites) are independent. Cluster 5 melt inclusions could be derived from partial melts of depleted mantle, which disappeared at ~37 Ma. Cluster 1 melt inclusions could be derived from partial melts of replenished fertile mantle, which occur throughout Unit III but became dominant after disappearance of Cluster 5 melt inclusions at ~37 Ma. Clusters 3 and 4 melt inclusions steadily occur throughout Unit III. Cluster 3 melt inclusions are characterized by higher S concentrations, which would be derived from partial melts of metasomatized mantle by S-rich slab fluids. Cluster 4 melt inclusions are characterized by higher concentrations of Cl and K2O, which would be derived from partial melts of metasomatized mantle by Cl- and K-rich slab fluids. Besides four clusters reflecting heterogeneity of the mantle wedge arc magma source, other two clusters are identified. Cluster 2 is characterized by extremely high Cl concentration (up to 1 wt.%) and can be explained as Cluster 1 melts being assimilated by brine. Cluster 6 is composed of silicic melt inclusions ranging from dacite to rhyolite.
Identification of subgroups of melt inclusions as summarized above cannot be made by conventional graphical approach using two-dimensional diagrams, demonstrating usefulness of introducing statistical approach into geochemistry.