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Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea
The atmospheric concentrations and gas–particle partitioning of polychlorinated dibenzo-p-dioxins and furans (PCDDs/Fs) and polychlorinated biphenyls (PCBs) were investigated at two sites (Suwon and Ansan) in Gyeonggi-do, a heavily industrialized area of Korea, during the year 2010. The sum level (Σ...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245600/ https://www.ncbi.nlm.nih.gov/pubmed/25347194 http://dx.doi.org/10.3390/ijerph111111065 |
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author | Heo, Jongwon Kim, Donggi Lee, Gangwoong |
author_facet | Heo, Jongwon Kim, Donggi Lee, Gangwoong |
author_sort | Heo, Jongwon |
collection | PubMed |
description | The atmospheric concentrations and gas–particle partitioning of polychlorinated dibenzo-p-dioxins and furans (PCDDs/Fs) and polychlorinated biphenyls (PCBs) were investigated at two sites (Suwon and Ansan) in Gyeonggi-do, a heavily industrialized area of Korea, during the year 2010. The sum level (Σ17) of PCDDs/Fs and dioxin-like PCBs (dl-PCBs) in the ambient air at Suwon and Ansan ranged from 0.04 to 0.30 pg-TEQ·m(−3) (geometric mean: 0.09 pg-TEQ·m(−3)) and 0.17 to 0.63 pg-TEQ·m(−3) (geometric mean: 0.36 pg-TEQ·m(−3)), respectively. Moreover, the geometric mean concentrations of Σ180 PCBs at Suwon and Ansan were 233.6 pg·m(−3) and 274.2 pg·m(−3), respectively, and di-chlorinated biphenyls and tri-chlorinated biphenyls were the predominant homologs. Among the PCB congeners, 3,3'-dichlorobiphenyl (PCB-11) was the dominant species at both sites during all sampling periods, comprising up to 15.1% of Σ180 PCBs at Ansan and 24.6% at Suwon. We evaluated their gas-to-particle equilibriums by conducting regression between the particle–gas partition coefficient K(p) (m(3)·ug(−1)) and the corresponding subcooled liquid vapor pressure (P(L)°). The slope (m) values for log–log plots of K(p) vs. P(L)° were steeper in industrial areas owing to local source proximity. Moreover, owing to enhanced emissions from combustion-related sources at low temperatures, PCDD/Fs exhibited the largest deviation from the regression line of the particle–gas partition coefficient. Incinerators were found to be the primary emission source of atmospheric PCDDs/Fs, whereas re-evaporation from pre-existing environmental loads (e.g., storage areas or spilled soil and water bodies) was the dominant source for PCBs. |
format | Online Article Text |
id | pubmed-4245600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-42456002014-12-02 Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea Heo, Jongwon Kim, Donggi Lee, Gangwoong Int J Environ Res Public Health Article The atmospheric concentrations and gas–particle partitioning of polychlorinated dibenzo-p-dioxins and furans (PCDDs/Fs) and polychlorinated biphenyls (PCBs) were investigated at two sites (Suwon and Ansan) in Gyeonggi-do, a heavily industrialized area of Korea, during the year 2010. The sum level (Σ17) of PCDDs/Fs and dioxin-like PCBs (dl-PCBs) in the ambient air at Suwon and Ansan ranged from 0.04 to 0.30 pg-TEQ·m(−3) (geometric mean: 0.09 pg-TEQ·m(−3)) and 0.17 to 0.63 pg-TEQ·m(−3) (geometric mean: 0.36 pg-TEQ·m(−3)), respectively. Moreover, the geometric mean concentrations of Σ180 PCBs at Suwon and Ansan were 233.6 pg·m(−3) and 274.2 pg·m(−3), respectively, and di-chlorinated biphenyls and tri-chlorinated biphenyls were the predominant homologs. Among the PCB congeners, 3,3'-dichlorobiphenyl (PCB-11) was the dominant species at both sites during all sampling periods, comprising up to 15.1% of Σ180 PCBs at Ansan and 24.6% at Suwon. We evaluated their gas-to-particle equilibriums by conducting regression between the particle–gas partition coefficient K(p) (m(3)·ug(−1)) and the corresponding subcooled liquid vapor pressure (P(L)°). The slope (m) values for log–log plots of K(p) vs. P(L)° were steeper in industrial areas owing to local source proximity. Moreover, owing to enhanced emissions from combustion-related sources at low temperatures, PCDD/Fs exhibited the largest deviation from the regression line of the particle–gas partition coefficient. Incinerators were found to be the primary emission source of atmospheric PCDDs/Fs, whereas re-evaporation from pre-existing environmental loads (e.g., storage areas or spilled soil and water bodies) was the dominant source for PCBs. MDPI 2014-10-24 2014-11 /pmc/articles/PMC4245600/ /pubmed/25347194 http://dx.doi.org/10.3390/ijerph111111065 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Heo, Jongwon Kim, Donggi Lee, Gangwoong Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea |
title | Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea |
title_full | Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea |
title_fullStr | Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea |
title_full_unstemmed | Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea |
title_short | Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea |
title_sort | congener profiles and source-wise phase partitioning analysis of pcdds/fs and pcbs in gyeonggi-do ambient air, south korea |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245600/ https://www.ncbi.nlm.nih.gov/pubmed/25347194 http://dx.doi.org/10.3390/ijerph111111065 |
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