2015
DOI: 10.1016/j.ejrh.2015.06.004
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Scenarios of groundwater chemical evolution in a region of the Canadian Shield based on multivariate statistical analysis

Abstract: a b s t r a c tStudy region: The study of groundwater chemistry of the Charlevoix/HauteCôte-Nord (CHCN) region in the province of Quebec in Canada is part of a regional hydrogeological characterization project. Study focus: Groundwater was sampled in 113 wells over the 4500 km 2 study area and analyzed for 39 parameters including major, minor, trace and inorganic constituents, plus stable isotopes 2H and 18O. Two multivariate statistical methods, hierarchical cluster analysis (HCA) and R-mode factor analysis (… Show more

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Cited by 64 publications
(42 citation statements)
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“…Because of their advantages in processing large-scale hydrochemical data sets, multivariate statistical methods have been successfully applied in the study of hydrogeochemical processes [17][18][19][20]. They have become powerful tools for characterizing the spatial and temporal variations of hydrogeochemistry and identifying the sources of chemical components.…”
Section: Introductionmentioning
confidence: 99%
“…Because of their advantages in processing large-scale hydrochemical data sets, multivariate statistical methods have been successfully applied in the study of hydrogeochemical processes [17][18][19][20]. They have become powerful tools for characterizing the spatial and temporal variations of hydrogeochemistry and identifying the sources of chemical components.…”
Section: Introductionmentioning
confidence: 99%
“…The hydrochemical of karstic environments varies according to the climate, water circulation, residence time, and mineralogy of the rocks of the aquifer [24]. In this perspective, it is expected that the integration of geochemical and statistical techniques helps elucidate the basic aspects of water-rock interaction, groundwater flow, and hydrochemical evolution [25].…”
Section: Introductionmentioning
confidence: 99%
“…A composição hidrogeoquímica de meios cársticos varia em função de diversos fatores, a exemplo do tempo de residência, distância percorrida, mineralogia e geologia das rochas encaixantes do aquífero (MORAL et al, 2008). Segundo Güler et al (2002) e Ghesquière et al (2015), a aplicação integrada de técnicas químicas, isotópicas e estatísticas contribuem para a investigação hidrogeoquímica uma vez que disponibilizam informações sobre a evolução composição química das águas subterrâneas, a interação água-rocha e fluxo subterrâneo.…”
Section: Introductionunclassified