Application of multivariate analysis to investigate the trace element contamination in top soil of coal mining district in Jorong, South Kalimantan, Indonesia

Global Colloquium on GeoSciences and Engineering 2017

Pujiwati, Arie^1,2 ; Nakamura, K.^1 ; Watanabe, N.^1 ; Komai, T.^1

Graduate School of Environmental Studies, Tohoku University, 6-6-20 Aramaki Aoba, Aoba-ward, Miyagi Sendai

980-8579, Japan^1

General Secretariat of National Energy Council, Ministry of Energy and Mineral Resources, Jl. Jend. Gatot Subroto Kav. 49, Jakarta Selatan

12950, Indonesia^2

关键词: Agricultural land use;    Bulk analysis;    Coal mine areas;    Coal mining area;    Contamination sources;    Linear correlation;    Multi variate analysis;    Pearson correlation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/118/1/012062/pdf
DOI  :  10.1088/1755-1315/118/1/012062

来源: IOP

【 摘 要 】

Multivariate analysis is applied to investigate geochemistry of several trace elements in top soils and their relation with the contamination source as the influence of coal mines in Jorong, South Kalimantan. Total concentration of Cd, V, Co, Ni, Cr, Zn, As, Pb, Sb, Cu and Ba was determined in 20 soil samples by the bulk analysis. Pearson correlation is applied to specify the linear correlation among the elements. Principal Component Analysis (PCA) and Cluster Analysis (CA) were applied to observe the classification of trace elements and contamination sources. The results suggest that contamination loading is contributed by Cr, Cu, Ni, Zn, As, and Pb. The elemental loading mostly affects the non-coal mining area, for instances the area near settlement and agricultural land use. Moreover, the contamination source is classified into the areas that are influenced by the coal mining activity, the agricultural types, and the river mixing zone. Multivariate analysis could elucidate the elemental loading and the contamination sources of trace elements in the vicinity of coal mine area.