Identification of environments based on magnetic susceptibility and geochemical data using multivariate statistical analysis

Bambang Heru Iswanto; Indira Pratiwi; Siti Zulaikah

doi:10.1063/5.0015862

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Identification of environments based on magnetic susceptibility and geochemical data using multivariate statistical analysis

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Bambang Heru Iswanto, Indira Pratiwi, Siti Zulaikah

2020 AIP Conference Proceedings Vol. 2251 Conference paper Cited by 3 SDG 16

Abstract

Magnetic susceptibility and geochemical data have been widely used in environmental studies. In general, the data are analyzed only based on the correlation between variables. In this paper, the multivariate statistical analysis method is used intensively to identify environmental conditions based on magnetic susceptibility and geochemistry. The objects of this research are the two inlet rivers of Sentani lake, Papua, Indonesia, namely the Hubay and the Kamp Wolker River. In this study matrix correlation, principal component analysis (PCA) and the factor analysis technique were employed in the analysis task. Using the methods, we found the characteristic of geochemical elements and their correlations with magnetic susceptibilities, and dominant geochemical elements in the inlet rivers, which distinguishes the two rivers significantly. © 2020 Author(s).

Affiliations

Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Jakarta, Indonesia; Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang No. 5, Malang, 65145, Indonesia

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