Regional modelling of polycyclic aromatic hydrocarbons:WRF/Chem-PAH model development and East Asia case studies

Mu, Q. and Lammel, G. and Gencarelli, C. N. and Hedgecock, I. M. and Chen, Ying and Pribylová, P. and Teich, M. and Zhang, Y. and Zheng, G. and van Pinxteren, D. and Zhang, Q. and Herrmann, H. and Shiraiwa, M. and Spichtinger, P. and Su, H. and Pöschl, U. and Cheng, Y. (2017) Regional modelling of polycyclic aromatic hydrocarbons:WRF/Chem-PAH model development and East Asia case studies. Atmospheric Chemistry and Physics Discussions. ISSN 1680-7367

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Polycyclic aromatic hydrocarbons (PAHs) are hazardous pollutants, with increasing emissions in pace with economic development in East Asia, but their distribution and fate in the atmosphere have not yet been well understood. We extended the regional atmospheric chemistry model WRF/Chem (Weather Research Forecast model with Chemistry module) to comprehensively study the atmospheric distribution and the fate of low concentrated, slowly degrading semivolatile compounds. The WRF/Chem-PAH model reflects the state-of-the-art understanding of current PAHs studies with several new or updated features. It was applied for PAHs covering a wide range of volatility and hydrophobicity i.e., phenanthrene, chrysene and benzo(a)pyrene, in East Asia. Temporally highly resolved PAH concentrations and particulate mass fractions were evaluated against observations. The WRF/Chem-PAH model is able to reasonably well simulate the concentration levels and particulate mass fractions of PAHs near the sources and at a remote outflow region of East Asia, in high spatial and temporal resolutions. Sensitivity study shows that the heterogeneous reaction with ozone and the homogeneous reaction with the nitrate radical significantly influence the fate and distributions of PAHs. The methods to implement new tracers and to correct the transport problems can be applied to other newly implemented tracers in WRF/Chem.

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Journal Article
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Atmospheric Chemistry and Physics Discussions
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19 Jul 2017 13:28
Last Modified:
19 Apr 2022 02:02