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Gas/particle partitioning, particle-size distribution of atmospheric polybrominated diphenyl ethers in southeast Shanghai rural area and size-resolved predicting model

机译:气体/颗粒分配,上海东南农村地区大气多溴联苯醚的粒径分布和尺寸分解预测模型

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摘要

A size-segregated gas/particle partitioning coefficient K-Pi 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-P. 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-Pi was generally greater than bulk K-P, indicating an overestimate of TSP (the mass concentration of total suspended particles) in the expression of bulk K-P. In predicting models, K-Pi led to a significant shift in regression lines as compared to K-P, thus it should be more cautious to investigate sorption mechanisms using the regression lines. The differences between the performances of K-Pi and K-P were helpful to explain some phenomenon in predicting investigations, such as P-L(0) and K-OA 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. (C) 2018 Elsevier Ltd. All rights reserved.
机译:提出了一种尺寸分离的气体/颗粒分配系数K-Pi,并基于大气多溴二苯醚(PBDE)现场数据与体积系数K-P进行了比较,并在预测模型中进行了评估。结果表明,上海东南农村地区大气多溴二苯醚的特征与以前的调查基本一致,这表明该调查代表了大气多溴二苯醚的当前污染状况。 K-Pi通常大于本体K-P,表明在本体K-P的表达中高估了TSP(总悬浮颗粒的质量浓度)。在预测模型中,与K-P相比,K-Pi导致回归线发生了显着变化,因此使用回归线研究吸附机理应更加谨慎。 K-Pi和KP性能之间的差异有助于解释某些预测研究中的现象,例如PL(0)和K-OA模型高估了PBDEs的颗粒分数,并且该模型在高温下的性能优于在低温下的性能。 。我们的发现很重要,因为它们有助于洞悉粒径对预测模型的影响。 (C)2018 Elsevier Ltd.保留所有权利。

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