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http://dx.doi.org/10.5572/KOSAE.2018.34.4.517

PM2.5 Source Apportionment Analysis to Investigate Contributions of the Major Source Areas in the Southeastern Region of South Korea  

Ju, Hyeji (Department of Environmental and Safety Engineering, Ajou University)
Bae, Changhan (Department of Environmental and Safety Engineering, Ajou University)
Kim, Byeong-Uk (Georgia Environmental Protection Division)
Kim, Hyun Cheol (Air Resources Laboratory, National Oceanic and Atmospheric Administration)
Yoo, Chul (Air Quality Research Division, National Institute of Environmental Research)
Kim, Soontae (Department of Environmental and Safety Engineering, Ajou University)
Publication Information
Journal of Korean Society for Atmospheric Environment / v.34, no.4, 2018 , pp. 517-533 More about this Journal
Abstract
We utilize the CAMx (Comprehensive Air Quality Model with eXtensions) system and the PSAT (Particulate Source Apportionment Technology) diagnostic tool to determine the $PM_{2.5}$ concentration and to perform its source apportionment in the southeastern region of South Korea. For a year-long simulation, eight local authorities in the region such as Pohang, Daegu, Gyeongju, Ulsan, Busan-Gimhae, Gosung-Changwon, Hadong, and all remaining areas in Gyeongsangnam-do, are selected as source areas based on the emission rates of $NO_x$, $SO_x$, VOC, and primary PM in CAPSS (Clean Air Policy Support System) 2013 emissions inventory. The CAMx-PSAT simulation shows that Pohang has the highest $PM_{2.5}$ self-contribution rate (25%), followed by Hadong (15%) and Busan-Gimhae (14%). With the exception of Pohang, which has intense fugitive dust emissions, other authorities are strongly affected by emissions from their neighboring areas. This may be measured as much as 1 to 2 times higher than that of the self-contribution rate. Based on these estimations, we conclude that the efficiency of emission reduction measures to mitigate $PM_{2.5}$ concentrations in the southeastern region of South Korea can be maximized when the efforts of local or regional emission controls are combined with those from neighboring regions. A comprehensive control policy planning based on the collaboration between neighboring jurisdictional boundaries is required.
Keywords
$PM_{2.5}$; CAMx; PSAT; Self-contribution; Neigh boring contribution; Air quality control region;
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