| Title: | Prediction of the gas/particle partitioning quotient of PAHs based on ambient temperature |
| Author(s): | Zhu FJ; Ma WL; Zhang ZF; Yang PF; Hu PT; Liu LY; Song WW; |
| Address: | "International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China; Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem (HPKL-PEE), Harbin 150090, China. International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China; Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem (HPKL-PEE), Harbin 150090, China. Electronic address: mawanli002@163.com" |
| DOI: | 10.1016/j.scitotenv.2021.151411 |
| ISSN/ISBN: | 1879-1026 (Electronic) 0048-9697 (Linking) |
| Abstract: | "Gas/particle (G/P) partitioning is an important influencing factor for the environmental fate of semi-volatile organic compounds (SVOCs). The G/P partitioning of polycyclic aromatic hydrocarbons (PAHs) is an integrated complex process due to its formation and growth concurrently with particles. Based on the large dataset of gaseous and particulate samples in a wide ambient temperature range of 50 degrees C, the simple empirical equations based on ambient temperature were established to predict the G/P partitioning quotient (K(P)) of PAHs at the temperature range from 252 K to 307 K (-21 degrees C to 34 degrees C). The performance of the empirical equations was validated by comparison with the monitoring K(P) of PAHs worldwide. The empirical equations exhibited good performance for the prediction of K(P) of PAHs based on ambient temperature. Two deviations with the prediction lines of the previous G/P partitioning models from the monitoring data of K(P) were observed. It was found that the deviations might be attributed to some non-considered influencing factors with the previous G/P partitioning prediction models. Therefore, further research should be conducted to study the mechanism of the G/P partitioning of PAHs, and more influencing factors should be introduced into the establishment of G/P partitioning models of PAHs. In summary, the result of the present study provided a convenient method for the prediction of K(P) of PAHs, which should be useful for the study of environmental fate of PAHs in atmosphere" |
| Keywords: | *Air Pollutants/analysis Environmental Monitoring Gases/analysis *Polycyclic Aromatic Hydrocarbons/analysis Temperature Empirical equation Equilibrium-state model Gas/particle partitioning Influence of temperature Steady-state model; |
| Notes: | "MedlineZhu, Fu-Jie Ma, Wan-Li Zhang, Zi-Feng Yang, Pu-Fei Hu, Peng-Tuan Liu, Li-Yan Song, Wei-Wei eng Netherlands 2021/11/08 Sci Total Environ. 2022 Mar 10; 811:151411. doi: 10.1016/j.scitotenv.2021.151411. Epub 2021 Nov 4" |
