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

A size-segregated gas/particle partitioning coefficient KPi was proposed and evaluated in the predicting models on the basis of atmospheric polybrominated diphenyl ether (PBDE) field data comparing with the bulk coefficient KP. Results revealed that the characteristics of atmospheric PBDEs in southe...

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Bibliographic Details
Published in:Chemosphere (Oxford) 2018-04, Vol.197, p.251-261
Main Authors: Su, Peng-hao, Tomy, Gregg T., Hou, Chun-yan, Yin, Fang, Feng, Dao-lun, Ding, Yong-sheng, Li, Yi-fan
Format: Article
Language:English
Subjects:
Gas/particle partitioning
Particle size-distribution
PBDEs
Prediction model
Size-segregated partitioning coefficient
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Summary:A size-segregated gas/particle partitioning coefficient KPi was proposed and evaluated in the predicting models on the basis of atmospheric polybrominated diphenyl ether (PBDE) field data comparing with the bulk coefficient KP. 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. KPi was generally greater than bulk KP, indicating an overestimate of TSP (the mass concentration of total suspended particles) in the expression of bulk KP. In predicting models, KPi led to a significant shift in regression lines as compared to KP, thus it should be more cautious to investigate sorption mechanisms using the regression lines. The differences between the performances of KPi and KP were helpful to explain some phenomenon in predicting investigations, such as PL0 and KOA 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. •Size-segregated coefficient KPi was generally larger than KP.•KPi led to significant shift of regression line.•Slopes of KPi regression lines also deviated from the expected values.•This study was representative to the present atmospheric PBDEs pollution status.
ISSN:0045-6535
1879-1298
DOI:10.1016/j.chemosphere.2018.01.005