Multivariate statistical analysis applied to assess the dispersion of contaminants in a mining tailings basin in the semiarid region of Bahia – Brazil

Nelize Lima Santos, Maria da Conceição Rabelo Gomes, José Ângelo Sebastião Araújo dos Anjos, Fernanda Gonçalves Cunha

Abstract


This study employed multivariate analysis techniques to identify and evaluate the chemical variables responsible for the contamination of the urban area of Boquira, Bahia, due to the abandonment of the tailings basin of Pb-Zn mining, in order to assist in the environmental management of the area. Factor analysis was performed on main and grouping components. The factor analysis allowed grouping the variables into two main factors for street sediment samples, adding up to 72% of the total accumulated variance, and three factors for house dust samples, which explained 77% of the total variance. The variables have a strong correlation with the composition of the tailings basin. Cluster analysis classified the samples according to the concentration of metals in the area, where the influence of the tailings basin and the natural background of the region's rocks in the contamination distribution can be identified.


Keywords


cluster analysis, contamination, main component analysis.



DOI: http://dx.doi.org/10.4136/ambi-agua.2572

Revista Ambiente & Água. ISSN:1980-993X DOI:10.4136/1980-993X


Editoração:Apoio:Filiada à ABEC:
IPABHi CAPES CNPq ABEC