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

IF 12.3 Q1 ENVIRONMENTAL SCIENCES
Meng Qin , Wan-Li Ma , Chuan-Long Zhang , Li-Yan Liu , Pu-Fei Yang
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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.

Abstract Image

寒区大气多溴联苯醚季节变化的多因素影响机制及其内暴露风险
大气污染物的浓度和因季节变化而产生的相关暴露风险呈现季节性变化。采用多媒体逸度模型(S-L4MF模型)研究了多因素对中国寒区大气中多溴联苯醚(PBDEs)浓度季节变化的影响机制。其中,气态多溴二苯醚的浓度表现为夏季较高,冬季较低,而颗粒物多溴二苯醚的浓度则呈现相反的趋势。8个关键驱动因素对多溴二苯醚浓度的影响机制表明,纬向风、大气排放和降雪是影响气体浓度波动的主要因素,而气温、总悬浮颗粒物和降水是影响颗粒物浓度变化的主要因素。随后,通过构建基于逸度的人体模型,研究了多溴二苯醚内部暴露风险的季节性差异。同样,多溴二苯醚的内部暴露风险也存在季节性变化。值得注意的是,多溴二苯醚颗粒的内部暴露风险表现出明显的大小分布特征:夏季为单峰模式,冬季为双峰模式。该研究为了解大气污染物的季节变化和影响机制提供了新的见解,这对制定季节性风险评估框架具有重要意义。
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CiteScore
15.40
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