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Identification of major sources of PM2.5 and gaseous pollutants contributing to oxidative potential in the Yeosu national petrochemical industrial complex: Insights from the PMF model
This investigation seeks to characterize and pinpoint the sources of PM2.5 and various gaseous pollutants within the Yeosu National Industrial Complex by employing the source apportionment model. PM2.5 samples were gathered at 3-h intervals during various seasons using both quartz and Teflon filters...
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Published in: | Atmospheric environment (1994) 2025-02, Vol.342, p.120943, Article 120943 |
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container_title | Atmospheric environment (1994) |
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creator | Choe, Seoyeong Yu, Geun-Hye Song, Myoungki Oh, Sea-Ho Jeon, Hajeong Ko, Dong-Hoon Park, Chaehyeong Bae, Min-Suk |
description | This investigation seeks to characterize and pinpoint the sources of PM2.5 and various gaseous pollutants within the Yeosu National Industrial Complex by employing the source apportionment model. PM2.5 samples were gathered at 3-h intervals during various seasons using both quartz and Teflon filters, and subjected to chemical composition analysis. The mean PM2.5 concentration was recorded at 22.8 μg/m³, with elevated levels observed during the winter. The source analysis delineated 5 p.m.2.5 sources, featuring combinations of EC, Pb, Ni, Cu, and OC. Gaseous pollutants were categorized into CO, CO2, Chloroform, Isopropylbenzene & Chlorobenzene, Dichlorobenzene, and Vehicle emissions. Conditional Probability Functions analysis revealed various source inflow directions, predominantly influenced by the nearby industrial complex. The dithiothreitol assay-oxidative potential normalized to 9,10-phenanthrenequinone (QDTT-OP) of PM2.5 demonstrated significant correlations with primary emission sources, particularly EC and Pb, due to incomplete combustion processes. Effectively managing these emissions is essential for mitigating health risks related to air pollution. This research offers crucial information for the formulation of strategies aimed at enhancing air quality and public health in industrialized regions.
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•EC, Pb, Ni, Cu, and OC mainly contribute to PM2.5 from industry and combustion.•Major gases include chloroform, isopropylbenzene, and dichlorobenzene.•Oxidative potential shows strong correlation with primary emissions. |
doi_str_mv | 10.1016/j.atmosenv.2024.120943 |
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[Display omitted]
•EC, Pb, Ni, Cu, and OC mainly contribute to PM2.5 from industry and combustion.•Major gases include chloroform, isopropylbenzene, and dichlorobenzene.•Oxidative potential shows strong correlation with primary emissions.</description><identifier>ISSN: 1352-2310</identifier><identifier>DOI: 10.1016/j.atmosenv.2024.120943</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Dithiothreitol assay-oxidative potential ; Fine particulate matter ; Source apportionment model ; Volatile organic compounds</subject><ispartof>Atmospheric environment (1994), 2025-02, Vol.342, p.120943, Article 120943</ispartof><rights>2024 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1043-f97176987848ef2bcfb41457691bae909e2912f99ce0065eca929a49d9ad06bd3</cites><orcidid>0000-0002-5486-3536 ; 0000-0001-5831-5812 ; 0000-0003-0333-5263</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Choe, Seoyeong</creatorcontrib><creatorcontrib>Yu, Geun-Hye</creatorcontrib><creatorcontrib>Song, Myoungki</creatorcontrib><creatorcontrib>Oh, Sea-Ho</creatorcontrib><creatorcontrib>Jeon, Hajeong</creatorcontrib><creatorcontrib>Ko, Dong-Hoon</creatorcontrib><creatorcontrib>Park, Chaehyeong</creatorcontrib><creatorcontrib>Bae, Min-Suk</creatorcontrib><title>Identification of major sources of PM2.5 and gaseous pollutants contributing to oxidative potential in the Yeosu national petrochemical industrial complex: Insights from the PMF model</title><title>Atmospheric environment (1994)</title><description>This investigation seeks to characterize and pinpoint the sources of PM2.5 and various gaseous pollutants within the Yeosu National Industrial Complex by employing the source apportionment model. PM2.5 samples were gathered at 3-h intervals during various seasons using both quartz and Teflon filters, and subjected to chemical composition analysis. The mean PM2.5 concentration was recorded at 22.8 μg/m³, with elevated levels observed during the winter. The source analysis delineated 5 p.m.2.5 sources, featuring combinations of EC, Pb, Ni, Cu, and OC. Gaseous pollutants were categorized into CO, CO2, Chloroform, Isopropylbenzene & Chlorobenzene, Dichlorobenzene, and Vehicle emissions. Conditional Probability Functions analysis revealed various source inflow directions, predominantly influenced by the nearby industrial complex. The dithiothreitol assay-oxidative potential normalized to 9,10-phenanthrenequinone (QDTT-OP) of PM2.5 demonstrated significant correlations with primary emission sources, particularly EC and Pb, due to incomplete combustion processes. Effectively managing these emissions is essential for mitigating health risks related to air pollution. This research offers crucial information for the formulation of strategies aimed at enhancing air quality and public health in industrialized regions.
[Display omitted]
•EC, Pb, Ni, Cu, and OC mainly contribute to PM2.5 from industry and combustion.•Major gases include chloroform, isopropylbenzene, and dichlorobenzene.•Oxidative potential shows strong correlation with primary emissions.</description><subject>Dithiothreitol assay-oxidative potential</subject><subject>Fine particulate matter</subject><subject>Source apportionment model</subject><subject>Volatile organic compounds</subject><issn>1352-2310</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><recordid>eNqFkEFu2zAQRbVogbhOrhDwAlZJSpbMrhIYTWvARr1oF1kRFDm0aUgcg6SM9GS9Xim7XWc1g48_7w9-UTwyWjLKms-nUqUBI_hLySmvS8apqKsPxYxVS77gFaN3xacYT5TSqhXtrPizMeCTs06r5NATtGRQJwwk4hg0xEnY73i5JMobclARcIzkjH0_JuVTJBp9Cq4bk_MHkpDgmzMZdYFsShNa9cR5ko5AXgHjSPw1KKtnSAH1EYacPXnMGDMprxqHcw9vX8jGR3c45hAbcLgi9rsXMqCB_r74aFUf4eHfnBe_Xr7-XH9fbH9826yftwvNaF0trGhZ24hVu6pXYHmnbVezepkl1ikQVAAXjFshNFDaLEErwYWqhRHK0KYz1bxoblwdMMYAVp6DG1T4LRmVU-XyJP9XLqfK5a3yfPh0O4T83cVBkFE78BqMC6CTNOjeQ_wF6ZOU_g</recordid><startdate>20250201</startdate><enddate>20250201</enddate><creator>Choe, Seoyeong</creator><creator>Yu, Geun-Hye</creator><creator>Song, Myoungki</creator><creator>Oh, Sea-Ho</creator><creator>Jeon, Hajeong</creator><creator>Ko, Dong-Hoon</creator><creator>Park, Chaehyeong</creator><creator>Bae, Min-Suk</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-5486-3536</orcidid><orcidid>https://orcid.org/0000-0001-5831-5812</orcidid><orcidid>https://orcid.org/0000-0003-0333-5263</orcidid></search><sort><creationdate>20250201</creationdate><title>Identification of major sources of PM2.5 and gaseous pollutants contributing to oxidative potential in the Yeosu national petrochemical industrial complex: Insights from the PMF model</title><author>Choe, Seoyeong ; Yu, Geun-Hye ; Song, Myoungki ; Oh, Sea-Ho ; Jeon, Hajeong ; Ko, Dong-Hoon ; Park, Chaehyeong ; Bae, Min-Suk</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1043-f97176987848ef2bcfb41457691bae909e2912f99ce0065eca929a49d9ad06bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Dithiothreitol assay-oxidative potential</topic><topic>Fine particulate matter</topic><topic>Source apportionment model</topic><topic>Volatile organic compounds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Choe, Seoyeong</creatorcontrib><creatorcontrib>Yu, Geun-Hye</creatorcontrib><creatorcontrib>Song, Myoungki</creatorcontrib><creatorcontrib>Oh, Sea-Ho</creatorcontrib><creatorcontrib>Jeon, Hajeong</creatorcontrib><creatorcontrib>Ko, Dong-Hoon</creatorcontrib><creatorcontrib>Park, Chaehyeong</creatorcontrib><creatorcontrib>Bae, Min-Suk</creatorcontrib><collection>CrossRef</collection><jtitle>Atmospheric environment (1994)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Choe, Seoyeong</au><au>Yu, Geun-Hye</au><au>Song, Myoungki</au><au>Oh, Sea-Ho</au><au>Jeon, Hajeong</au><au>Ko, Dong-Hoon</au><au>Park, Chaehyeong</au><au>Bae, Min-Suk</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of major sources of PM2.5 and gaseous pollutants contributing to oxidative potential in the Yeosu national petrochemical industrial complex: Insights from the PMF model</atitle><jtitle>Atmospheric environment (1994)</jtitle><date>2025-02-01</date><risdate>2025</risdate><volume>342</volume><spage>120943</spage><pages>120943-</pages><artnum>120943</artnum><issn>1352-2310</issn><abstract>This investigation seeks to characterize and pinpoint the sources of PM2.5 and various gaseous pollutants within the Yeosu National Industrial Complex by employing the source apportionment model. PM2.5 samples were gathered at 3-h intervals during various seasons using both quartz and Teflon filters, and subjected to chemical composition analysis. The mean PM2.5 concentration was recorded at 22.8 μg/m³, with elevated levels observed during the winter. The source analysis delineated 5 p.m.2.5 sources, featuring combinations of EC, Pb, Ni, Cu, and OC. Gaseous pollutants were categorized into CO, CO2, Chloroform, Isopropylbenzene & Chlorobenzene, Dichlorobenzene, and Vehicle emissions. Conditional Probability Functions analysis revealed various source inflow directions, predominantly influenced by the nearby industrial complex. The dithiothreitol assay-oxidative potential normalized to 9,10-phenanthrenequinone (QDTT-OP) of PM2.5 demonstrated significant correlations with primary emission sources, particularly EC and Pb, due to incomplete combustion processes. Effectively managing these emissions is essential for mitigating health risks related to air pollution. This research offers crucial information for the formulation of strategies aimed at enhancing air quality and public health in industrialized regions.
[Display omitted]
•EC, Pb, Ni, Cu, and OC mainly contribute to PM2.5 from industry and combustion.•Major gases include chloroform, isopropylbenzene, and dichlorobenzene.•Oxidative potential shows strong correlation with primary emissions.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.atmosenv.2024.120943</doi><orcidid>https://orcid.org/0000-0002-5486-3536</orcidid><orcidid>https://orcid.org/0000-0001-5831-5812</orcidid><orcidid>https://orcid.org/0000-0003-0333-5263</orcidid></addata></record> |
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subjects | Dithiothreitol assay-oxidative potential Fine particulate matter Source apportionment model Volatile organic compounds |
title | Identification of major sources of PM2.5 and gaseous pollutants contributing to oxidative potential in the Yeosu national petrochemical industrial complex: Insights from the PMF model |
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