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Influence of anthropogenic activities on the trace organic contamination of lakes.
Lahens, Lisa; Correa, José A; Cabana, Hubert; Huot, Yannick; Segura, Pedro A.
Afiliação
  • Lahens L; Department of Chemistry, Université de Sherbrooke, Sherbrooke, QC, Canada; Groupe de Recherche sur l'Eau de l'Université de Sherbrooke (GREAUS, Université de Sherbrooke Water Research Group), Université de Sherbrooke, Sherbrooke, QC, Canada.
  • Correa JA; Department of Mathematics and Statistics, McGill University, Montreal, QC, Canada.
  • Cabana H; Groupe de Recherche sur l'Eau de l'Université de Sherbrooke (GREAUS, Université de Sherbrooke Water Research Group), Université de Sherbrooke, Sherbrooke, QC, Canada; Department of Civil and Building Engineering, Université de Sherbrooke, Sherbrooke, QC, Canada.
  • Huot Y; Department of Applied Geomatics, Université de Sherbrooke, Sherbrooke, QC, Canada.
  • Segura PA; Department of Chemistry, Université de Sherbrooke, Sherbrooke, QC, Canada; Groupe de Recherche sur l'Eau de l'Université de Sherbrooke (GREAUS, Université de Sherbrooke Water Research Group), Université de Sherbrooke, Sherbrooke, QC, Canada. Electronic address: pa.segura@usherbrooke.ca.
Sci Total Environ ; 949: 175087, 2024 Nov 01.
Article em En | MEDLINE | ID: mdl-39074750
ABSTRACT
Anthropogenic activities and urbanization can lead to the discharge of organic compounds into surface waters. It is important to investigate these relationships further to mitigate contamination better and prioritize protection efforts. This study aimed to verify the effect of specific anthropogenic factors on lake water contamination caused by trace organic contaminants (TrOCs) such as pharmaceuticals, pesticides and consumer product additives. Data on the detection and concentration levels of 54 TrOCs, major anthropogenic land use, and human activities from a large-scale study on Canadian lakes were used to reach this goal. The association of population and livestock densities, the presence of wastewater treatment plants (WWTPs) and hospitals as well as the agricultural and urban land use in the lakes' watersheds on lake water contamination was investigated by applying negative binomial and ordinal logistic regression models. These models were also controlled for lake/watershed area ratio, lake depth, water, residence time, watershed slope, precipitation, and sampling date. The statistical analysis confirmed that agricultural land use, urban land use, and WWTPs plants in lake watersheds are significantly associated with the number of TrOCs detected (incidence rate ratio > 1, p < 0.001) and the summed concentration of targeted TrOCs (odds ratio > 1, p < 0.001). Agricultural land use (odds ratio = 1.58, p < 0.001) and urban land use (odds ratio = 1.19, p < 0.02) were also significantly associated with the summed concentration of the targeted pesticides. This latter outcome thus suggests that urban centers are also important contributors to the concentration levels of pesticides in lakes. Overall, these results demonstrate that even in complex ecosystems such as lakes, it is possible to use a limited number of factors to explain anthropogenic contamination. This can help policymakers make informed decisions on contamination mitigation and provide insights into watershed management.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article