4.5 Article

Simulating Atmospheric Organic Aerosol in the Boreal Forest Using Its Volatility-Oxygen Content Distribution

期刊

ATMOSPHERE
卷 14, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/atmos14050763

关键词

organic aerosol; 2D-VBS; aging parameterizations

向作者/读者索取更多资源

Various parameterizations of organic aerosol (OA) formation and its subsequent evolution are evaluated using ground measurements collected during the 2013 PEGASOS field campaign. The performance of different chemical aging schemes is examined, considering biogenic and anthropogenic OA components. All schemes show satisfactory results and predict similar contributions of different OA sources and pathways. Biogenic secondary OA has the highest contribution, followed by anthropogenic secondary OA and oxidation of intermediate-volatility compounds. Primary OA and long-range transport also contribute to OA formation.
Various parameterizations of organic aerosol (OA) formation and its subsequent evolution in the two-dimensional Volatility Basis Set (2D-VBS) framework are evaluated using ground measurements collected in the 2013 PEGASOS field campaign in the boreal forest station of Hyytiala in southern Finland. A number of chemical aging schemes that performed well in the polluted environment of the Po Valley in Italy during the PEGASOS 2012 campaign are examined, taking into account various functionalization and fragmentation pathways for biogenic and anthropogenic OA components. All seven aging schemes considered have satisfactory results, consistent with the ground measurements. Despite their differences, these schemes predict similar contributions of the various OA sources and formation pathways for the periods examined. The highest contribution comes from biogenic secondary OA (bSOA), as expected, contributing 40-63% depending on the modeling scheme. Anthropogenic secondary OA (aSOA) is predicted to contribute 11-18% of the total OA, while SOA from intermediate-volatility compounds (SOA-iv) oxidation contributes another 18-27%. The fresh primary OA (POA) contributes 4%, while the SOA resulting from the oxidation of the evaporated semivolatile POA (SOA-sv) varies between 4 and 6%. Finally, 5-6% is predicted to be due to long-range transport from outside the modeling domain.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据