Kim, Bong Mann Seo, Jihoon Kim, Jin Young Lee, Ji Yi Kim, Yumi 2024-01-20T03:03:05Z 2024-01-20T03:03:05Z 2021-09-04 2016-11 1352-2310 https://pubs.kist.re.kr/handle/201004/123528 The concentration of fine particulates in Seoul, Korea has been lowered over the past 10 years, as a result of the city's efforts in implementing environmental control measures. Yet, the particulate concentration level in Seoul remains high as compared to other urban areas globally. In order to further improve fine particulate air duality in the Korea region and design a more effective control strategy, enhanced understanding of the sources and contribution of fine particulates along with their chemical compositions is necessary. In turn, relative contributions from local and transported sources on Seoul need to be established, as this city is particularly influenced by sources from upwind geographic areas. In this study, PM2.5 monitoring was conducted in Seoul from October 2012 to September 2013. PM2.5 mass concentrations, ions, metals, organic carbon (OC), elemental carbon (EC), water soluble OC (WSOC), humic-like substances of carbon (HULLS-C), and 85 organic compounds were chemically analyzed. The multivariate receptor model SMP was applied to the PM2.5 data, which then identified nine sources and estimated their source compositions as well as source contributions. Prior studies have identified and quantified the transported and local sources. However, no prior studies have distinguished contributions of an individual source between transported contribution and locally produced contribution. We differentiated transported secondary and biomass burning sources from the locally produced secondary and biomass burning sources, which was supported with potential source contribution function (PSCF) analysis. Of the total secondary source contribution, 32% was attributed to transported secondary sources, and 68% was attributed to locally formed secondary sources. Meanwhile, the contribution from the transported biomass burning source was revealed as 59% of the total biomass burning contribution, which was 1.5 times higher than that of the local biomass burning source. Four-season average source contributions from the transported and the local sources were 28% and 72%, respectively. (C) 2016 Elsevier Ltd. All rights reserved. English PERGAMON-ELSEVIER SCIENCE LTD HUMIC-LIKE SUBSTANCES PEARL RIVER DELTA SOURCE APPORTIONMENT DICARBOXYLIC-ACIDS PARTICULATE MATTER AMBIENT AEROSOLS ION CHEMISTRY PM10 BALANCE SEOUL Transported vs. local contributions from secondary and biomass burning sources to PM2.5 Article 10.1016/j.atmosenv.2016.08.072 1 ATMOSPHERIC ENVIRONMENT, v.144, pp.24 - 36 ATMOSPHERIC ENVIRONMENT 144 24 36 scie scopus 000385326100004 2-s2.0-84984656515 Environmental Sciences Meteorology & Atmospheric Sciences Environmental Sciences & Ecology Meteorology & Atmospheric Sciences Article HUMIC-LIKE SUBSTANCES PEARL RIVER DELTA SOURCE APPORTIONMENT DICARBOXYLIC-ACIDS PARTICULATE MATTER AMBIENT AEROSOLS ION CHEMISTRY PM10 BALANCE SEOUL SMP receptor model PM2.5 source apportionment Long-range transport Local sources Secondary formation Biomass burning source