부산대학교 도서관

The Community Multiscale Air Quality (CMAQ) model, with modifications to track precursor-specific SOA, was applied to model SOA formation from aromatic compounds and monoterpenes in Shanghai in November 2018. The modeled total aromatic SOA showed a strong correlation with measured 2,3-dihydroxy-4-oxopentanoic acid (DHOPA) concentrations in the ambient aerosols (R ＞ 0.5 for hourly data and R ＞ 0.75 for daily average data). The ratios of observed DHOPA and modeled aromatic SOA with all components included is around (0.5-1.6) × 10^(-3), lower than the commonly used ratio of 4 × 10^(-3) determined for toluene in a series of smog chamber experiments. This suggests that aromatic SOA could be underestimated when directly using the chamber-derived ratios. The predicted monoterpene SOA shows a stronger correlation with the sum of two α-pinene tracers (α-pinT), pinic acid and 3-MBTCA, with R ＞ 0.6 and R ＞ 0.8 for hourly and daily data, respectively. The α-pinT to modeled monoterpene SOA ratios are 0.13-0.25, which generally match the ratio of 0.168 ± 0.081 reported in chamber studies. However, since the current model does not treat α-pinene and its SOA explicitly, future modeling studies should include a more detailed treatment of monoterpene emissions and reactions to predict SOA from these important precursors and compare with the ambient precursor-specific SOA-tracers.