Field-measured uptake rates of PCDDs/Fs and dl-PCBs using PUF-disk passive air samplers in Gyeonggi-do, South Korea

Heo, Jong-Won; Lee, Gangwoong

doi:10.1016/j.scitotenv.2014.03.073

Cited by 31 publications

(14 citation statements)

References 28 publications

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“…The sampling sites and sampling and analysis methods are identical to those of a previous study using active high-volume air samplers; accordingly, selected sampling parameters and analysis methods have been published previously [ 14 ]. The sampled air volume per week was in the range 940–1423 m 3 .…”

Section: Methodsmentioning

confidence: 99%

“…In the present study, we investigated the individual PCB 180 and PCDD/F 17 congeners and gas/particle concentration to estimate partition of gas and particles and their characteristic behaviors in urban and industrial areas in Gyeonggi-do, Korea, where their total (gas and particle) concentrations were compared in passive and active samplers to a previously published work [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea

Heo¹,

Kim²,

Lee

2014

IJERPH

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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 Kp (m3·ug−1) and the corresponding subcooled liquid vapor pressure (PL°). The slope (m) values for log–log plots of Kp vs. PL° 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.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea

Heo¹,

Kim²,

Lee

2014

IJERPH

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“…Approximated modelled results for numerous independent studies reporting PUF-PAS sampling rates for a range a different chemicals in a range of different environmental conditions. 2, 6, 9, 14, 15, 17, 21-23, 28, 30, 33, 34, 48-54 The * denotes studies that conducted active sampler comparison (no * indicates DCs were used). The ^ denotes studies with a different sampler design than the default design (24 cm top bowl, 20 cm bottom bowl).…”

Section: Figurementioning

confidence: 99%

“…7, 11-13, 18, 21, 23, 24, 30, 31 This approach fails to resolve variability in local meteorological conditions and is inappropriate for estimating sampling rates for other compounds. 21, 32-34 In extreme environments, like high mountaintops and remote regions of the world, the inability to consider the effect of local meteorological conditions may negate the benefit of using passive samplers. 15, 24, 28…”

Section: Introductionmentioning

confidence: 99%

Calibration and evaluation of PUF-PAS sampling rates across the Global Atmospheric Passive Sampling (GAPS) network

Herkert

Scott

Smith

et al. 2018

Environ. Sci.: Processes Impacts

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Passive air samplers equipped with polyurethane foam (PUF-PAS) are frequently used to measure persistent organic pollutants (POPs) in ambient air. Here we present and evaluate a method to determine sampling rates (R), and the effective sampling volume (V), for gas-phase chemical compounds captured by a PUF-PAS sampler deployed anywhere in the world. The method uses a mathematical model that requires only publicly available hourly meteorological data, physical-chemical properties of the target compound, and the deployment dates. The predicted R is calibrated from sampling rates determined from 5 depuration compounds (C PCB-9, C PCB-15,C PCB-32, PCB-30, and d-γ-HCH) injected in 82 samples from 24 sites deployed by the Global Atmospheric Passive Sampling (GAPS) network around the world. The dimensionless fitting parameter, gamma, was found to be constant at 0.267 when implementing the Integrated Surface Database (ISD) weather observations and 0.315 using the Modern Era Retrospective-Analysis for Research and Applications (MERRA) weather dataset. The model provided acceptable agreement between modelled and depuration determined sampling rates, with C PCB-9,C PCB-32, and d-γ-HCH having mean percent bias near zero (±6%) for both weather datasets (ISD and MERRA). The model provides inexpensive and reliable PUF-PAS gas-phase R and V when depuration compounds produce unusual or suspect results and for sites where the use of depuration compounds is impractical, such as sites experiencing low average wind speeds, very cold temperatures, or remote locations.

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“…According to the present studies, the research on indoor air PCBs mainly focuses on the levels of PCBs in air samples, passive sampling comparison with active sampling, human exposure, potential sources of PCBs, spatial distribution, and the effects of home characteristics on PCBs (Asante et al, 2011;Heinzow et al, 2007;Heo and Lee 2014;Klees et al, 2015;Li et al, 2012;Lu et al, 2015;Lyng et al, 2015;Moussaoui et al, 2012;Tasdemir et al, 2012;Wang et al, 2013).…”

Section: Research Range and Status Of Pcbsmentioning

confidence: 99%

A review of polychlorinated biphenyls (PCBs) pollution in indoor air environment

Dai

Xia

Weng

2016

Journal of the Air & Waste Management Association

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Polychlorinated biphenyls (PCBs) were widely used in industrial production due to the unique physical and chemical properties. As a kind of persistent organic pollutants, the PCBs would lead to environment pollution and cause serious problems for human health. Thus, they have been banned since the 1980s due to the environment pollution in the past years. Indoor air is the most direct and important environment medium to human beings; thus, the PCBs pollution research in indoor air is important for the protection of human health. This paper introduces the industrial application and potential harm of PCBs, summarizes the sampling, extracting, and analytical methods of environment monitoring, and compares the indoor air levels of urban areas with those of industrial areas in different countries according to various reports. This paper can provide a basic summary for PCBs pollution control in the indoor air environment.

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Field-measured uptake rates of PCDDs/Fs and dl-PCBs using PUF-disk passive air samplers in Gyeonggi-do, South Korea

Cited by 31 publications

References 28 publications

Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea

Congener Profiles and Source-Wise Phase Partitioning Analysis of PCDDs/Fs and PCBs in Gyeonggi-Do Ambient Air, South Korea

Calibration and evaluation of PUF-PAS sampling rates across the Global Atmospheric Passive Sampling (GAPS) network

A review of polychlorinated biphenyls (PCBs) pollution in indoor air environment

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