Yu Morino , Tatsuya Nagashima, Seiji Sugata, Kei Sato, Kiyoshi Tanabe, Tadayoshi Noguchi, Akinori Takami, Hiroshi Tanimoto, Toshimasa Ohara

  • National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan

Received: February 26, 2015
Revised: July 2, 2015
Accepted: July 21, 2015
Download Citation: ||https://doi.org/10.4209/aaqr.2015.02.0120  

Cite this article:
Morino, Y., Nagashima, T., Sugata, S., Sato, K., Tanabe, K., Noguchi, T., Takami, A., Tanimoto, H. and Ohara, T. (2015). Verification of Chemical Transport Models for PM2.5 Chemical Composition Using Simultaneous Measurement Data over Japan. Aerosol Air Qual. Res. 15: 2009-2023. https://doi.org/10.4209/aaqr.2015.02.0120


  • Performances of PM2.5 chemical composition simulations were evaluated over Japan.
  • Performances of SO42– and NO3 simulations in Japan differed from other countries.
  • In spring and summer, a VBS model better reproduced OA than a SOA yield model.
  • OA was greatly underestimated in winter; the two models showed similar results.



Evaluation of models for simulating temporal and spatial variations of PM2.5 chemical composition in Japan has been limited by the lack of observational data. In this study, we used PM2.5 chemical composition data measured simultaneously over several regions of Japan in winter, spring, and summer 2012 to evaluate three sensitivity simulations, one based on a secondary organic aerosol (SOA) yield model and two based on a volatility basis set (VBS) model. Concentrations of sulfate (SO42–), nitrate (NO3), and ammonium (NH4+) were well reproduced by all the simulations in summer. However, in winter and spring, SO42– concentrations were underestimated and NO3 concentrations were overestimated by the standard simulation. NO3 concentrations were better reproduced by a model with dry-deposition velocities of nitric acid and ammonia enhanced by a factor of 5, as was done in a previous study. Observed concentrations of elemental carbon and organic aerosol (OA) were higher at urban sites than at the surrounding remote sites, and this behavior was not adequately reproduced by models with a grid size of 15 km. Further refinements of emission inventories and models are necessary for better simulations of PM2.5 chemical compositions. OA concentration was greatly underestimated by the simulation based on the SOA yield model over all the seasons but was better reproduced by the simulations based on the VBS model in spring and summer because aging reactions were considered in the VBS model-based simulations. The VBS model-based simulations reproduced the observations that primary OA predominated in winter and that the contribution of SOA was higher than that of primary OA in spring and summer. These contributions should be validated by means of observation-based source contributions of OA in future studies.

Keywords: Organic aerosol; Simulation models; Volatility basis set; Aging reactions; Aerosol nitrate

Share this article with your colleagues 


Subscribe to our Newsletter 

Aerosol and Air Quality Research has published over 2,000 peer-reviewed articles. Enter your email address to receive latest updates and research articles to your inbox every second week.

77st percentile
Powered by
   SCImago Journal & Country Rank

2022 Impact Factor: 4.0
5-Year Impact Factor: 3.4

Aerosol and Air Quality Research partners with Publons

CLOCKSS system has permission to ingest, preserve, and serve this Archival Unit
CLOCKSS system has permission to ingest, preserve, and serve this Archival Unit

Aerosol and Air Quality Research (AAQR) is an independently-run non-profit journal that promotes submissions of high-quality research and strives to be one of the leading aerosol and air quality open-access journals in the world. We use cookies on this website to personalize content to improve your user experience and analyze our traffic. By using this site you agree to its use of cookies.