Contrasting copper concentrations and isotopic compositions in two Great Lakes watersheds

Type Article
Date 2023-12
Language English
Author(s) Junqueira Tassiane P.1, Ferreira Araujo Daniel2, Harrison Anna L.3, Sullivan Kaj1, 4, Leybourne Matthew I.1, 5, Vriens Bas1
Affiliation(s) 1 : Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, Ontario, Canada
2 : Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Brest, France
3 : Geoscience Environment Toulouse, National Scientific Research Centre (CNRS), Toulouse, France
4 : Department of Chemistry, Ghent University, Ghent, Belgium
5 : Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario, Canada
Source Science Of The Total Environment (0048-9697) (Elsevier BV), 2023-12 , Vol. 904 , P. 166360 (10p.)
DOI 10.1016/j.scitotenv.2023.166360
WOS© Times Cited 1
Keyword(s) Great Lakes, Copper, Metal contaminants, Stable isotopes, Source tracking
Abstract

Copper (Cu) stable isotopes can elucidate the biogeochemical controls and sources governing Cu dynamics in aquatic environments, but their application in larger rivers and catchments remains comparatively scarce. Here, we use major and trace element hydrogeochemical data, Cu isotope analyses, and mixing modeling, to assess Cu loads and sources in two major river systems in Ontario, Canada. In both the Spanish River and Trent River catchments, aqueous hydrochemical compositions appeared reasonably consistent, but Cu concentrations were more variable spatially. In the Spanish River, waters near (historic) industrial mining activities displayed positive Cu isotope compositions (δ65CuSRM-976 between +0.75 ‰ and +1.01 ‰), but these signatures were gradually attenuated downstream by mixing with natural background waters (δ65Cu −0.65 ‰ to −0.16 ‰). In contrast, Trent River waters exhibited more irregular in-stream Cu isotope patterns (δ65Cu from −0.75 ‰ to +0.21 ‰), beyond the variability in Cu isotope signatures observed for adjacent agricultural soils (δ65Cu between −0.26 ‰ and +0.30 ‰) and lacking spatial correlation, reflective of the more diffuse sourcing and entwined endmember contributions to Cu loads in this catchment. This work shows that metal stable isotopes may improve our understanding of the sources and baseline dynamics of metals, even in large river systems.

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