کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4428420 1619762 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Spatial distribution and partitioning behavior of selected poly- and perfluoroalkyl substances in freshwater ecosystems: A French nationwide survey
ترجمه فارسی عنوان
توزیع فضایی و رفتار پراکندگی مواد انتخاب شده پلی و پرفروفیالکلی در اکوسیستم های آب شیرین: یک بررسی عمومی در فرانسه
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست شیمی زیست محیطی
چکیده انگلیسی


• A large-scale survey of PFASs in 133 French rivers and lakes is reported.
• Descriptive statistics, correlations and partitioning coefficients were determined.
• Non-detects were taken into account using functions from the NADA R-package.
• Hot spots of PFAS contamination were found near large urban and industrial areas.
• Sediment levels were partly controlled by grain size and organic carbon content.

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 < LOD–725 ng L− 1 in the dissolved phase (median: 7.9 ng L− 1) and < LOD–25 ng g− 1 dry weight (dw) in the sediment (median: 0.48 ng g− 1 dw); dissolved PFAS levels were significantly lower at “reference” sites than at urban, rural or industrial sites. Although perfluorooctane sulfonate (PFOS) was found to be the prevalent compound on average, a multivariate analysis based on neural networks revealed noteworthy trends for other compounds at specific locations and, in some cases, at watershed scale. For instance, several sites along the Rhône River displayed a peculiar PFAS signature, perfluoroalkyl carboxylates (PFCAs) often dominating the PFAS profile (e.g., PFCAs > 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.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Science of The Total Environment - Volume 517, 1 June 2015, Pages 48–56
نویسندگان
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