Constellation, le dépôt institutionnel de l'Université du Québec à Chicoutimi

Chloride-salinity as indicator of the chemical composition of groundwater: empirical predictive model based on aquifers in Southern Quebec, Canada

Boumaiza Lamine, Walter Julien, Chesnaux Romain, Stotler Randy L., Wen Tao, Johannesson Karen H., Brindha Karthikeyan et Huneau Frédéric. (2022). Chloride-salinity as indicator of the chemical composition of groundwater: empirical predictive model based on aquifers in Southern Quebec, Canada. Environmental Science and Pollution Research,

[img] PDF - Version acceptée
Administrateurs seulement jusqu´à 6 Avril 2023.

1MB

URL officielle: http://dx.doi.org/doi:10.1007/s11356-022-19854-z

Résumé

The present study first describes the variations in concentrations of 12 chemical elements in groundwater relative to salinity levels in Southern Quebec (Canada) groundwater systems, and then uses this data to develop an empirical predictive model for evaluating groundwater chemical composition relative to salinity levels. Data is drawn from a large groundwater chemistry database containing 2608 samples. Eight salinity classes were established from lowest to highest chloride (Cl) concentrations. Graphical analyses were applied to describe variations in major, minor, and trace element concentrations relative to salinity levels. Results show that the major elements were found to be dominant in the lower salinity classes, whereas Cl becomes dominant at the highest salinity classes. For each of the major elements, a transitional state was identified between domination of the major elements and domination of Cl. This transition occurred at a different level of salinity for each of the major elements. Except for Si, the minor elements Ba, B, and Sr generally increase relative to the increase of Cl. The highest Mn concentrations were found to be associated with only the highest levels of Cl, whereas F was observed to be more abundant than Mn. Based on this analysis of the data, a correlation table was established between salinity level and concentrations of the chemical constituents. We thus propose a predictive empirical model, identifying a profile of the chemical composition of groundwater relative to salinity levels, to help homeowners and groundwater managers evaluate groundwater quality before resorting to laborious and costly laboratory analyses.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:0944-1344
Version évaluée par les pairs:Oui
Date:2022
Identifiant unique:10.1007/s11356-022-19854-z
Sujets:Sciences naturelles et génie > Génie
Sciences naturelles et génie > Sciences appliquées
Sciences naturelles et génie > Sciences naturelles > Sciences de la terre (géologie, géographie)
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées > Unité d'enseignement en sciences de la Terre
Unités de recherche > Centre d’étude sur les Ressources minérales (CERM)
Mots-clés:hydrogeochemistry, groundwater, salinity, major and minor elements, trace elements, Canada, hydrogéochimie, eau souterraine, salinité, éléments majeurs et mineurs, éléments traces
Déposé le:26 avr. 2022 21:29
Dernière modification:26 avr. 2022 21:29
Afficher les statistiques de telechargements

Éditer le document (administrateurs uniquement)

Creative Commons LicenseSauf indication contraire, les documents archivés dans Constellation sont rendus disponibles selon les termes de la licence Creative Commons "Paternité, pas d'utilisation commerciale, pas de modification" 2.5 Canada.

Bibliothèque Paul-Émile-Boulet, UQAC
555, boulevard de l'Université
Chicoutimi (Québec)  CANADA G7H 2B1
418 545-5011, poste 5630