Influencing mechanisms of multiple factors on seasonal variation of atmospheric polybrominated diphenyl ethers and their internal exposure risk in cold region

Atmospheric pollutants exhibit seasonal variations in their concentrations and associated exposure risk due to seasonal alternations. The influencing mechanisms of multiple factors on the seasonal variation of concentration of polybrominated diphenyl ethers (PBDEs) in atmosphere were studied in cold region of China by a multimedia fugacity model (S-L4MF Model). The significant seasonal variations were found: gaseous PBDEs exhibited higher concentration in summer and lower concentration in winter, while particulate PBDEs presented opposite trend. The influencing mechanisms of eight key driving factors on PBDEs concentrations were identified that zonal wind, air emission and snow as predominant factors governing gaseous concentration fluctuations, whereas air temperature, TSP and precipitation emerged as primary factors on particulate concentration variations. Subsequently, the seasonal differences in internal exposure risk of PBDEs were investigated by constructing a fugacity-based human model. Similarly, the internal exposure risk of PBDEs also presented seasonal variations. Notably, the internal exposure risk of particulate PBDEs demonstrated distinct size-distribution characteristics: the unimodal pattern in summer versus the bimodal pattern in winter. The study provided new insights into the understanding of seasonal variations and influencing mechanisms of atmospheric pollutants, which provided significant implications for developing seasonal-specific risk assessment frameworks. • The S-L4MF Model was applied for the study on the seasonal variation of atmospheric PBDEs. • The obviously seasonal variations of atmospheric PBDEs were found in the Northeast China. • The key driving factors for the seasonal variations of gaseous and particulate PBDEs were different. • The internal exposure risk of PBDEs were investigated by a level III fugacity-based human model. • The internal exposure risk of PBDEs also presented seasonal variations.

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Publication Details

Journal
Environmental Chemistry and Ecotoxicology
Published
2025-11-29
DOI
https://doi.org/10.1016/j.enceco.2025.11.034
Primary Topic
Toxic Organic Pollutants Impact
Type
article
Field-Weighted Citation Impact
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article

Influencing mechanisms of multiple factors on seasonal variation of atmospheric polybrominated diphenyl ethers and their internal exposure risk in cold region

C H Zhang, M.J. Qin, Wan-Li Ma, Liyan Liu et al.
Environmental Chemistry and Ecotoxicology
Toxic Organic Pollutants Impact
article

Influencing mechanisms of multiple factors on seasonal variation of atmospheric polybrominated diphenyl ethers and their internal exposure risk in cold region

C H Zhang, M.J. Qin, Wan-Li Ma, Liyan Liu, Pu-Fei Yang
article en

Abstract

Atmospheric pollutants exhibit seasonal variations in their concentrations and associated exposure risk due to seasonal alternations. The influencing mechanisms of multiple factors on the seasonal variation of concentration of polybrominated diphenyl ethers (PBDEs) in atmosphere were studied in cold region of China by a multimedia fugacity model (S-L4MF Model). The significant seasonal variations were found: gaseous PBDEs exhibited higher concentration in summer and lower concentration in winter, while particulate PBDEs presented opposite trend. The influencing mechanisms of eight key driving factors on PBDEs concentrations were identified that zonal wind, air emission and snow as predominant factors governing gaseous concentration fluctuations, whereas air temperature, TSP and precipitation emerged as primary factors on particulate concentration variations. Subsequently, the seasonal differences in internal exposure risk of PBDEs were investigated by constructing a fugacity-based human model. Similarly, the internal exposure risk of PBDEs also presented seasonal variations. Notably, the internal exposure risk of particulate PBDEs demonstrated distinct size-distribution characteristics: the unimodal pattern in summer versus the bimodal pattern in winter. The study provided new insights into the understanding of seasonal variations and influencing mechanisms of atmospheric pollutants, which provided significant implications for developing seasonal-specific risk assessment frameworks. • The S-L4MF Model was applied for the study on the seasonal variation of atmospheric PBDEs. • The obviously seasonal variations of atmospheric PBDEs were found in the Northeast China. • The key driving factors for the seasonal variations of gaseous and particulate PBDEs were different. • The internal exposure risk of PBDEs were investigated by a level III fugacity-based human model. • The internal exposure risk of PBDEs also presented seasonal variations.

Environmental Chemistry and EcotoxicologyVol. 8
Chinese Academy of Sciences (CN), Harbin Institute of Technology (CN), Research Center for Eco-Environmental Sciences (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 53%
Toxic Organic Pollutants Impact
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