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Updated: Jan 1, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Gas/particle partitioning of PAHs based on equilibrium-state model and steady-state model
Wan-Li Ma1, Fu-Jie Zhu2, Peng-Tuan Hu2
1International 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..
Abstract:
The gas/particle (G/P) partitioning (KP) behavior is an important factor for the environmental fate of PAHs in atmosphere. Based on large database of log KP, equilibrium-state and steady-state models were applied for the comprehensive study with the G/P partitioning of PAHs, including the Harner-Bidleman (H-B) model, the Dachs-Eisenreich (D-E) model, and the Li-Ma-Yang (L-M-Y) model. For different sites, the trend of regression between log KP and log KOA was same, however, the slopes and intercepts were different. No obvious difference was observed between northern Chinese cities and southern Chinese cities. For congeners and aromatic rings of PAHs, the difference was much more obvious for the regressions, slopes and intercepts. The prediction of the D-E model and the H-B model matched well for the regression of the 4-rings and 5-rings PAHs, with >80% of monitoring data points in the range of ±1 log unit. The L-M-Y model only predicted well with the measurement for 4-rings PAHs with special values of log KOA. For different ranges of log KOA, the difference with the regression between log KP and log KOA was also obvious. Compared with our measurement, if 1 order of magnitude difference with log KP values between prediction and measurement was considered, the H-B model, the D-E model and the L-M-Y model can be only used when the log KOA in the ranges from 7.65 to 13.7, 6.88 to 13.5, and 7.65 to 11.7, respectively. Therefore, further studies with prediction models should be conducted for the G/P partitioning of PAHs. The results of this study provided new insights into the research field of the G/P partitioning of SVOCs.
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