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

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          Abstract

          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.

          Translated abstract

          Amostras de água foram coletadas em 10 pontos em trechos do leste do Quadrilátero Ferrífero (QF), que é uma região mineira situada no sudeste do Brasil. Os objetivos deste estudo foram encontrar possíveis relações entre carbono orgânico dissolvido (COD), metais e outros parâmetros físico-químicos medidos utilizando a rede neural de Kohonen como ferramenta para analisar esses dados geoquímicos multivariados na área estudada. As análises físico-químicas foram feitas in situ e em laboratório, onde as concentrações de COD e vários íons metálicos foram determinadas. A rede de Kohonen permitiu a visualização e interpretação mais amigáveis dos dados, além de definir relações entre eles. Assim, para os dados analisados, foi verificada relação entre COD e Fe e um possível efeito da sazonalidade na distribuição das amostras. Possíveis evidências litológicas puderam ser detectadas pela análise exploratória, especialmente se considerados os elementos Ca, Mg, Mn e Sr.

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          Most cited references26

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          Self-Organizing Maps

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            Physiographic, stratigraphic, and structural development of the Quadrilatero Ferrifero, Minas Gerais, Brazil

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              Environ. Monit. Assess.

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                jbchs
                Journal of the Brazilian Chemical Society
                J. Braz. Chem. Soc.
                Sociedade Brasileira de Química (São Paulo )
                1678-4790
                February 2014
                : 25
                : 2
                : 208-218
                Affiliations
                [1 ] Universidade Federal de Ouro Preto Brazil
                [2 ] Universidade Federal de Ouro Preto Brazil
                [3 ] Helmholtz-Centre for Environmental Research Germany
                Article
                S0103-50532014000200003
                10.5935/0103-5053.20130285
                8cdd9731-88dd-48c9-871d-4e8b71f79ef3

                http://creativecommons.org/licenses/by/4.0/

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                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=0103-5053&lng=en
                Categories
                CHEMISTRY, MULTIDISCIPLINARY

                General chemistry
                Quadrilátero Ferrífero - Brazil,dissolved organic carbon,Kohonen neural network,environmental geochemistry

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