Abstracts for Annual Meeting of Japan Association of Mineralogical Sciences
2016 Annual Meeting of Japan Association of Mineralogical Sciences
Session ID : S2-16
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Host: Japan Association of Mineralogical Sciences

S2: Water Rock Interaction
Multivariate analysis of deep groundwater chemistry by means of PCA/ICA
*Kenta Yoshida, Tatsu Kuwatani, Hitomi Nakamura, Satoru Haraguchi, Kohei Kazahaya, Masaaki Takahashi, Hikaru Iwamori
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Keywords: slab-derived fluid, data-driven science, principal component analysis, independent component analysis
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Abstract
The multivariate analysis of deep groundwater database has been performed to detect a chemical characteristics of deep-origin fluid. Since chemical composition of groundwater was determined in 10 or more dimensions, multivariate analysis such as principal component analysis (PCA) and independent component analysis (ICA) can be effective. In this paper, we provide the results of PCA/ICA and discuss characteristics of two analysis.
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© 2016 Japan Association of Mineralogical Sciences
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