Application of a multivariate exploratory analysistechnique in the study of dissolved organic matter and metal ions in waters from the eastern quadrilátero ferrífero, Brazil

Journal of the Brazilian Chemical Society

Erik S. J. Gontijo²  Francysmary S. D. Oliveira²  Mariana L. Fernandes²  Gilmare A. Da Silva¹  Hubert M. P. Roeser²  Kurt Friese¹ 

[1] ,Federal University of Ouro Preto Department of Environmental Engineering Ouro Preto MG ,Brazil

关键词: Quadrilátero Ferrífero - Brazil;    dissolved organic carbon;    Kohonen neural network;    environmental geochemistry;   

DOI  :  10.5935/0103-5053.20130285

来源: SciELO

【 摘 要 】

Water samples were collected at 10 points in parts of the eastern Quadrilátero Ferrífero (QF), located in a mining region in the southeast of Brazil. The aims of this study were to find possible relationships among dissolved organic carbon (DOC), metals and other parameters measured in the region studied and evaluate the Kohonen neural network as a tool to analyse this geochemical multivariate data set. Physico-chemical analyses were performed in situ and in the laboratory, where concentrations of DOC and a suite of metal ions were determined. The Kohonen neural network allowed an easier visualisation and interpretation of the results and helped to define the relationships among them. In this way, a relationship between DOC and Fe and a possible effect of seasonality on the distribution of the samples were indicated. Signs of lithology were detected in the analyses, especially considering the elements Ca, Mg, Mn and Sr.

【 授权许可】

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