Modeling the long-range transport of particulate matters for january in East Asia using NAQPMS and CMAQ

Zhe Wang, Syuichi Itahashi, Itsushi Uno, Xiaole Pan, Kazuo Osada, Shigekazu Yamamoto, Tomoaki Nishizawa, Kei Tamura, Zifa Wang

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Two regional chemical transport models were applied to simulate high concentrations of particulate matters (PM) observed in East Asia in January 2015; the first model is the Nested Air Quality Prediction Modeling System (NAQPMS) and the second is the Community Multi-scale Air Quality Model (CMAQ). The variation of PM2.5 in both models showed well agreement with measurements over both eastern China and western Japan. Based on the model results and the aerosol compositions observed in Fukuoka in western Japan, three types of PM long-range transport (LRT) were identified: N-, S-, and D-type. The N episode showed higher fine-mode nitrate (fNO3) concentrations than fine-mode sulfate (fSO42–), indicating the importance of NO3 LRT. The S episode showed the highest fSO42– concentrations (28.9 µg m–3), which were 3.4-fold higher than fNO3, due to high relative humidity. During the D episode, dust stagnated in Fukuoka for three days, due to the influence of low- and high-pressure systems; thus, dust LRT is also important in winter besides spring. Both models reasonable explained variations in aerosol components during both N and S episodes; however, both underestimated fSO42– especially during D episode, suggesting that they may miss certain emissions or chemical mechanisms. High coarse-mode NO3 (cNO3) concentrations (maximum: 6.3 µg m–3), and high cNO3/fNO3 ratios (maximum: 1.2) were observed during D episode. NAQPMS successfully captured this cNO3 peak after including heterogeneous reactions on dust. Our results emphasize the importance of such heterogeneous processes for understanding the LRT of dust and anthropogenic pollutants over East Asia.

Original languageEnglish
Pages (from-to)3065-3078
Number of pages14
JournalAerosol and Air Quality Research
Volume17
Issue number12
DOIs
Publication statusPublished - Dec 2017

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Pollution

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