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

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. [ABSTRACT FROM AUTHOR]