EGU23-3050, updated on 22 Feb 2023
https://doi.org/10.5194/egusphere-egu23-3050
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Comparison of PM2.5 Concentration Changes in Northeast Asia by pcSOA option in CMAQv5.2

Jaeho Choi1, Chang-Keun Song1,2, Hyeon-Kook Kim1, Kyung-Mi Lee3, and Kwon-ho Jeon3
Jaeho Choi et al.
  • 1School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
  • 2Graduate School of Carbon Neutrality, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
  • 3Climate and Air Quality Research Department, National Institute of Environmental Research (NIER), Incheon, Republic of Korea

The atmospheric chemical transport model, CMAQ, has been used to study the behavioral characteristics of air pollutants in Northeast Asia. To improve the performance of the simulated particulate matter, we used the CMAQ version 5.2 which newly considers pcSOA (Potential Secondary Organic Aerosol from Combustion Emissions) of fossil fuel combustion origin based on studies in North America. This study examines whether pcSOA is also effective in CMAQ modeling in Northeast Asia. Model experiments were simulated in January (Winter), April (Spring), July (Summer), and October (Autumn), representing the season in 2019, and China, South Korea, BTH (Beijing-Tianjin-Hebei), and SMA (Seoul Metropolitan Area) were selected as the target areas. To increase the reliability of the model experiment, a modeling emission inventory (e.g., UNIMIXv2) reflecting the latest air pollution emission information was used for anthropogenic emission sources in China and South Korea. According to the results of the CMAQ model experiment in January 2019, the difference between the pcSOA applied-unapplied model based on PM2.5 (particulate matter less than 2.5μm in size) concentration was about 17.23μg/m3 (-23.6%) and about 5μg/m3 (-16.5%) in China and South Korea, respectively. As a result of analyzing the chemical composition of PM2.5 simulated by the CMAQ model, ‘OC’ and ‘Unspec1’ were identified as the most affected variables by the change in the pcSOA option, and characteristics were found in the diurnal variation graph for these two substances. Therefore, when operating the CMAQv5.2 model in Northeast Asia, it is expected to help improve the model's performance in the future and understand the behavioral characteristics of air pollutants through regional and seasonal interrelated mechanisms understanding of substances caused by differences in the pcSOA option.

 

This work was supported by Korea Environment Industry &Technology Institute(KEITI) through "Climate Change R&D Project for New Climate Regime." , funded by Korea Ministry of Environment(MOE) (1485018907)

How to cite: Choi, J., Song, C.-K., Kim, H.-K., Lee, K.-M., and Jeon, K.: Comparison of PM2.5 Concentration Changes in Northeast Asia by pcSOA option in CMAQv5.2, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-3050, https://doi.org/10.5194/egusphere-egu23-3050, 2023.