Multivariate Statistics Applied to the Identification of Compositional Control Parameters for Groundwater
Karen Vendramini De Araújo,
George Satander Sá Freire,
Itabaraci Nazareno Cavalcante
et al.
Abstract:The objective of the present study was to identify the most influent parameters in the composition of groundwater in the municipality of Icapuí, Ceará - Brazil, seeking correlations with the composition of the percolating aquifer formations that can be associated with the sources of these components. For this purpose, multivariate statistical techniques were applied by means of a Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA). The PCA allowed a reduction of physicochemical parameter… Show more
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