Hydrochemical and isotopic characterization of groundwather in the southwest region of quadrilatero ferrifero in Congonhas-MG and its correlation with aquifer units deepness in this system

This paper presents an analysis of hydrochemistry and isotopic data of Caue Aquifer’s waters in the Congonhas area in MG. Its objective is to characterize the aquifer and understand the water dynamics. Three water groups were identified and differentiated from each other by their ions concentration....

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Detalles Bibliográficos
Autores: Paula, Rodrigo Sergio, Mesquita, Daniele Costa de, Dantas, Julia Cotta Maciel, Guerra, Kênia Janete
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Brasil
Institución:Associação Brasileira de Águas Subterrâneas
Repositorio:Águas Subterrâneas (São Paulo. Online)
Idioma:portugués
OAI Identifier:oai:ojs.aguassubterraneas.abas.org:article/28970
Acceso en línea:https://aguassubterraneas.abas.org/asubterraneas/article/view/28970
Access Level:acceso abierto
Palabra clave:Cauê aquifer. Hydrochemistry. Isotopic dating. Hydrogeology.
Aquífero Cauê. Hidroquímica. Datação isotópica. Hidrogeologia.
Descripción
Sumario:This paper presents an analysis of hydrochemistry and isotopic data of Caue Aquifer’s waters in the Congonhas area in MG. Its objective is to characterize the aquifer and understand the water dynamics. Three water groups were identified and differentiated from each other by their ions concentration. The methodology applied consisted on the analysis of four sampling campaigns carried out in the years 2004, 2006, 2010 and 2013. The hydrochemical results were treated in the AquaChem software through water classification diagrams. The isotopic results were evaluated and correlated with the location quota of the samples. Group 1 has the samples with the highest ion concentration while Group 3 has the lowest one. Waters are mostly classified as Bicarbonate-calcium-magnesium type, lightly acidics to neutral. Tritium concentration varies from 1.8 UT to less than 0.2 UT. This data allows to differentiate waters based on tritium concentration versus deepness.  Anomalies found are related to faults controled waterflow.