MUNOZ, Gabriel; GIRAUDEL, Jean-Luc; BOTTA, Fabrizio; LESTREMAU, François; DEVIER, Marie-Helene; BUDZINSKI, Hélène; LABADIE, Pierre

doi:10.1016/j.scitotenv.2015.02.043

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MUNOZ, Gabriel
Environnements et Paléoenvironnements OCéaniques [EPOC]

GIRAUDEL, Jean-Luc

Environnements et Paléoenvironnements OCéaniques [EPOC]

BOTTA, Fabrizio
Institut National de l'Environnement Industriel et des Risques [INERIS]

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Science of the Total Environment. 2015-06-01, vol. 517, p. 48-56

Résumé en anglais

The spatial distribution and partitioning of 22 poly- and perfluoroalkyl substances (PFASs) in 133 selected rivers and lakes were investigated at a nationwide scale in mainland France. ΣPFASs was in the range 99% of ΣPFASs in the sediment, likely as a consequence of industrial point source discharge). Several treatments for data below detection limits (non-detects) were used to compute descriptive statistics, differences among groups, and correlations between congeners, as well as log Kd and log Koc partition coefficients; in that respect, the Regression on Order Statistics (robust ROS) method was preferred for descriptive statistics computation while the Akritas–Theil–Sen estimator was used for regression and correlation analyses. Multiple regression results suggest that PFAS levels in the dissolved phase and sediment characteristics (organic carbon fraction and grain size) may be significant controlling factors of PFAS levels in the sediment.< Réduire

Mots clés en anglais

PERFLUOROALKYL SUBSTANCES

WATER

SEDIMENT

PARTITIONING

ARTIFICIAL NEURAL NETWORKS

NON-DETECTS

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Spatial distribution and partitioning behavior of selected poly- and perfluoroalkyl substances in freshwater ecosystems : A French nationwide survey

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