Department of Environmental Engineering, Shanghai Maritime University, Shanghai, 201306, PR China; IJRC-PTS, Shanghai Maritime University, Shanghai 201306, PR China.
Department of Chemistry, University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada.
Chemosphere. 2018 Apr;197:251-261. doi: 10.1016/j.chemosphere.2018.01.005. Epub 2018 Jan 4.
A size-segregated gas/particle partitioning coefficient K was proposed and evaluated in the predicting models on the basis of atmospheric polybrominated diphenyl ether (PBDE) field data comparing with the bulk coefficient K. Results revealed that the characteristics of atmospheric PBDEs in southeast Shanghai rural area were generally consistent with previous investigations, suggesting that this investigation was representative to the present pollution status of atmospheric PBDEs. K was generally greater than bulk K, indicating an overestimate of TSP (the mass concentration of total suspended particles) in the expression of bulk K. In predicting models, K led to a significant shift in regression lines as compared to K, thus it should be more cautious to investigate sorption mechanisms using the regression lines. The differences between the performances of K and K were helpful to explain some phenomenon in predicting investigations, such as P and K models overestimate the particle fractions of PBDEs and the models work better at high temperature than at low temperature. Our findings are important because they enabled an insight into the influence of particle size on predicting models.
提出并评估了一种按颗粒物大小分段的气相/颗粒物分配系数 K,该系数基于大气多溴二苯醚 (PBDE) 现场数据与体相系数 K 建立的预测模型。结果表明,上海东南部农村地区大气 PBDE 的特征与先前的调查基本一致,表明该调查能够反映当前大气 PBDE 的污染状况。K 通常大于体相 K,表明在体相 K 的表述中,总悬浮颗粒物(TSP,总悬浮颗粒物质量浓度)的估算值偏高。在预测模型中,K 与 K 相比导致回归线发生显著偏移,因此在使用回归线研究吸附机制时应更加谨慎。K 和 K 的性能差异有助于解释预测研究中的一些现象,例如 P 和 K 模型高估了 PBDE 的颗粒分数,以及模型在高温下比在低温下效果更好。我们的研究结果非常重要,因为它们使人们能够深入了解颗粒物大小对预测模型的影响。