APLICAÇÃO DE TRATAMENTO ESTATÍSTICO MULTIVARIANTE EM DADOS GEOQUÍMICOS DE SOLO NO MAPEAMENTO GEOLÓGICO NA PROVÍNCIA DE CARAJÁS (ALVO 2 - CORPO 4)

CÁNDIDO AUGUSTO VELOSO MOURA

Resumo


A geochemical soil survey was carried out in the Alvo 2 - Corpo 4 area of the Carajás Mineral Province, Pará, Brazil. Soil sample elements were collected and analysed in order to determine, for each one of them, the degree of concentration of the following chemical elements: Fe, Al, Mg, Mn, Ti, Co, Ni, V, Cu, and Zn. Thereafter, multivanant statístical techniques were employed to process the data, that are known as cluster analysis and discriminant analysis. The former algorithm was applied in order to classify the element of the soil sample into geochemícally homogeneous group that could be correlated with underlying rocks. A discriminant analysis was then performed to statistically evaluate the distinctiveness of groups arrived at, and at the same time to define those chemical elements which were most determinant throughout the discriminatory process. Cluster analysis classified the soil sample elements into eight homogeneous groups that are perfectly correlated with underlying rocks. Discriminant analysis showed that results of the clustering are good, and only titanium and zinc do not play an important role in discriminating the groups arrived at. The results obtained show that the multivariant statistical processing of geochemical data can be used successfully as a useful tool when mapping the geology of tropical áreas.

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