Caracterização hidroquímica e isotópica das águas, na porção sudoeste do Quadrilátero Ferrífero no município de Congonhas-MG, e sua correlação com a localização em cota das unidades aquíferas deste sistema

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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Detalhes bibliográficos
Autores: Rodrigo Sergio de Paula, Daniele Costa de Mesquita, Julia Cotta Maciel Dantas, Kênia Janete Guerra
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:Brasil
Recursos:Universidade Federal de Minas Gerais (UFMG)
Repositorio:Repositório Institucional da UFMG
Idioma:portugués
OAI Identifier:oai:repositorio.ufmg.br:1843/51989
Acesso em linha:https://doi.org/10.14295/ras.v32i1.28970
http://hdl.handle.net/1843/51989
https://orcid.org/0000-0002-9815-9778
Access Level:acceso abierto
Palavra-chave:Aquífero Cauê
Hidroquímica
Datação Isotópica
Hidrogeologia
Aquiferos
Quimica da agua
Geologia isotopica
Congonhas (MG)
Descrição
Resumo: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 car-ried 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.