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A Box-Model Simulation of the Formation of Inorganic Ionic Particulate Species and Their Air Quality Implications in Republic of Korea
- Source :
- Asian Journal of Atmospheric Environment, Vol 16, Iss 4, Pp 1-26 (2022)
- Publication Year :
- 2022
- Publisher :
- Springer, 2022.
-
Abstract
- Abstract The Observation-Constrained Atmospheric BOX model (OCABOX) was used to analyze the formation of secondary inorganic PM species in the Seoul Metropolitan Area (SMA), South Korea. The measurement data of the ionic components of PM2.5 and their gaseous precursors made at the Olympic Park ground site (37.53°N, 127.12°E) during the Korea-United States Air Quality field campaign were used to run OCABOX in observation-based mode and compare the simulation results. The use of the HNO3 concentrations measured at a marine background site as the boundary conditions appeared to increase the accuracy of the model prediction of HNO3 and particulate NO3− concentrations. For the primary precursors emitted considerably throughout the SMA, such as NOx and NH3, using the data measured inside the SMA as the boundary conditions could lead to more accurate predictions. OCABOX was shown to be a reliable tool to analyze the formation of secondary inorganic aerosol in the SMA if used with appropriate regional background concentrations and observation-based constraints
Details
- Language :
- English
- ISSN :
- 22871160
- Volume :
- 16
- Issue :
- 4
- Database :
- Directory of Open Access Journals
- Journal :
- Asian Journal of Atmospheric Environment
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2b866719d2d34f019df1a4ed00514e8a
- Document Type :
- article
- Full Text :
- https://doi.org/10.5572/ajae.2022.119