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Occurrence, distribution, and input pathways of per- and polyfluoroalkyl substances in soils near different sources in Shanghai

Zhu, Qinghe, Qian, Jiahao, Huang, Shenfa, Li, Qingqing, Guo, Lin, Zeng, Jun, Zhang, Wei, Cao, Xinde, Yang, Jie·2022·Environmental Pollution
DOI 10.1016/j.envpol.2022.119620
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Abstract

Per- and polyfluoroalkyl substances (PFAS) are complex emerging pollutants that are widely distributed in soils. The compositions of PFAS vary according to the emission sources. However, the soil distributions of PFAS from different sources are still poorly understood. In this study, the concentrations and compositions of 18 PFAS in soils close to potential sources (industrial areas, airports, landfills, fire stations and agricultural areas) were investigated in Shanghai. The total PFAS concentrations varied from 0.64 to 294 μg kg -1 d.w. . Among the sites, the highest PFAS concentration was found near the fire station (average = 57.9 μg kg -1 d.w. ), followed by the industrial area (average = 8.53 μg kg -1 d.w. ). The detection frequencies of the 18 PFAS ranged from 47.5% to 100%. Perfluorooctanoic acid (PFOA) and perfluoroheptanoic acid (PFHpA) were detected in all samples. The detection frequencies of PFAS near the fire station were higher than those near other sources. The PFAS in soils were mainly composed of short-chain perfluoroalkyl carboxylic acids (C ≤ 8). Elevated concentrations of long-chain perfluoroalkyl carboxylic acids (C > 12) were found in industrial area. Principal component analysis revealed that long-chain PFAS had different factor loadings compared to short-chain PFAS. With the exception of agricultural soils, the correlations between individual PFAS were more positive than negative. Strong positive correlations were found within three groups of perfluor…

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Metadata

Authors
Zhu, Q., Qian, J., Huang, S., Li, Q., Guo, L., Zeng, J., Zhang, W., Cao, X., & Yang, J.
Venue
Environmental Pollution
Publisher
Elsevier BV
Published
2022-09
Volume
308
Pages
119620
ISSN
0269-7491
DOI
10.1016/j.envpol.2022.119620
Cited by
73
References
20
Language
en
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