Regional contributions to particulate matter concentration in the Seoul metropolitan area, South Korea: seasonal variation and sensitivity to meteorology and emissions inventory
-
Published:2017-09-04
Issue:17
Volume:17
Page:10315-10332
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Kim Hyun CheolORCID, Kim Eunhye, Bae ChanghanORCID, Cho Jeong Hoon, Kim Byeong-Uk, Kim Soontae
Abstract
Abstract. The impact of regional emissions (e.g., domestic and international) on surface particulate matter (PM) concentrations in the Seoul metropolitan area (SMA), South Korea, and its sensitivities to meteorology and emissions inventories are quantitatively estimated for 2014 using regional air quality modeling systems. Located on the downwind side of strong sources of anthropogenic emissions, South Korea bears the full impact of the regional transport of pollutants and their precursors. However, the impact of foreign emissions sources has not yet been fully documented. We utilized two regional air quality simulation systems: (1) a Weather Research and Forecasting and Community Multi-Scale Air Quality (CMAQ) system and (2) a United Kingdom Met Office Unified Model and CMAQ system. The following combinations of emissions inventories are used: the Intercontinental Chemical Transport Experiment-Phase B, the Inter-comparison Study for Asia 2010, and the National Institute of Environment Research Clean Air Policy Support System. Partial contributions of domestic and foreign emissions are estimated using a brute force approach, adjusting South Korean emissions to 50 %. Results show that foreign emissions contributed ∼ 60 % of SMA surface PM concentration in 2014. Estimated contributions display clear seasonal variation, with foreign emissions having a higher impact during the cold season (fall to spring), reaching ∼ 70 % in March, and making lower contributions in the summer, ∼ 45 % in September. We also found that simulated surface PM concentration is sensitive to meteorology, but estimated contributions are mostly consistent. Regional contributions are also found to be sensitive to the choice of emissions inventories.
Funder
Ministry of Science, ICT and Future Planning
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference61 articles.
1. Akyüz, M. and Cabuk, H.: Meteorological variations of PM2. 5 ∕ PM10 concentrations and particle-associated polycyclic aromatic hydrocarbons in the atmospheric environment of Zonguldak, Turkey, J. Hazard. Mater., 170, 13–21, https://doi.org/10.1016/j.jhazmat.2009.05.029, 2009. 2. Bae, C. H., Kim, E. H., You, S., Bae, M. A., Kim, O. K., Woo, J. H., Kim, H. C., Kim, B. U., and Kim, S. K.: Impact of Emission Inventory on PM10 forecast over Seoul Metropolitan Area, in review, 2017. 3. Binkowski, F. S.: Models-3 Community Multiscale Air Quality (CMAQ) model aerosol component, 1. Model description, J. Geophys. Res., 108, 4183, https://doi.org/10.1029/2001JD001409, 2003. 4. Burr, M. J. and Zhang, Y.: Source apportionment of fine particulate matter over the Eastern US, Part I: source sensitivity simulations using CMAQ with the Brute Force method, Atmos. Pollut. Res., 2, 300–317, https://doi.org/10.5094/apr.2011.036, 2011. 5. Byun, D. and Schere, K. L.: Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, Appl. Mech. Rev., 59, 51–77, https://doi.org/10.1115/1.2128636, 2006.
Cited by
139 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|