Quantification on the source/receptor relationship of primary pollutants and secondary aerosols by a Gaussian plume trajectory model: Part III - Asian dust-storm periods

B. J. Tsuang, C. T. Lee, M. T. Cheng, N. H. Lin, Y. C. Lin, C. L. Chen, C. M. Peng, P. H. Kuo

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Characteristics of pollutants at heights in the top of the Planetary Boundary Layer (PBL) are collected and used in a local-scale model. A subsidence mechanism is developed to quantify the concentration fraction from the top PBL to simulate PM concentration during Asian dust-storm (ADS) periods. The results show that using the data measured at a mountain station, which is very vulnerable to ADS, as the top boundary conditions for the air quality model can capture all the PM2.5 episodes due to local sources and ADS events, at a low-altitude urban station. The correlation coefficient (r2) of daily PM2.5-10 concentration has increased from 0.17 to 0.62 by incorporating the subsidence mechanism, and that of PM2.5 increases as well. The model results of nitrate, sulfate and ammonium aerosol in fine radii can be compared with observations. According to our analysis, five out of eight PM2.5 or PM10 episode days occurred on ADS days in the past 4 years (1999-2002). During ADS episodes in 2000, 12% of PM2.5 and 53% of PM2.5-10 were from ADS dust. In addition, two dry deposition algorithms are evaluated; the algorithm of Seinfeld and Pandis (Atmospheric Chemistry and Physics from Air Pollution to Climate Change, Wiley, New York, 1998, 1057pp.) is suggested in this case study.

Original languageEnglish
Pages (from-to)4007-4017
Number of pages11
JournalAtmospheric Environment
Volume37
Issue number28
DOIs
StatePublished - Sep 2003

Keywords

  • Atmospheric aerosol
  • Chemical characterization
  • Gaussian plume
  • Kosa
  • Subsidence
  • Yellow sand

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