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Multielement determination using inductively coupled plasma optical emission spectrometry for metal characterization of water from artesian wells in Semberija region: Multivariate analysis of data

Pavlović Aleksandra N. (Faculty of Sciences and Mathematics, Department of Chemistry, Niš)
Laketić Tamara J. (Institute for Water Bijeljina, Bijeljina, Bosnia and Herzegovina)
Mitić Snežana S. (Faculty of Sciences and Mathematics, Department of Chemistry, Niš)
Savić Milenko J. (Institute for Water Bijeljina, Bijeljina, Bosnia and Herzegovina)
Tošić Snežana B. (Faculty of Sciences and Mathematics, Department of Chemistry, Niš)
Đorđević Miodrag S. (Faculty of Sciences and Mathematics, Department of Mathematics, Niš)

The concentrations of fifteen metals (Mg, Na, Ca, K, Se, Zn, Mn, Fe, Pb, Cr, Cu, Cd, Sb, Ni, Co) were determined in water from ten artesian wells (AW) in Semberija to obtain a general metal profile of water in this region. Principal components analysis (PCA) was used in this classification. Using principal component analysis two factors controlling the metal variability were obtained, which accounted for nearly 71.5% of the total variance. Natural (lithogenic) factor is represented by PC1, while anthropogenic factor is represented by PC2. PC1 with high contribution of Mn, Mg, Na, K, Ca, Zn and Se accounting for 41.84% of the total variance, while PC2 exhibits high loading for Cd, Ni, Sb, Cr and Pb (29.66%). Three general areas (clusters) with different metal characteristics were detected. Water from artesian wells in first cluster (AW1, AW2, AW3, AW4, AW5 and AW6) had much higher metal concentration compared with those in the second (AW7, AW8 and AW9) and third cluster (AW10). That is as a result of anthropogenic inputs. Also, the analysis of water demonstrated slightly elevated values for Mn (concentrations up to 0.176 mg/L), while concentrations of the other investigated elements are below the values recommended by the World Health Organization (WHO) and the United States Environmental Protection Agency (US EPA).

Keywords: metals, artesian wells, ICP-OES, Semberija, principal component analysis, cluster analysis

Projekat Ministarstva nauke Republike Srbije, br. 172047