Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/28231
Title: Characterization of gas/particle concentrations and partitioning of polychlorinated biphenyls (PCBs) measured in an urban site of Turkey
Authors: Uludağ Üniversitesi/Mühendislik Fakültesi/Gıda Mühendisliği Bölümü.
0000-0001-7536-0332
Cindoruk, S. Sıddık
Taşdemir, Yücel
AAG-9468-2021
9245756200
6603118338
Keywords: Congener
Polycyclic aromatic-hydrocarbons
Correlation methods
Bursa [Turkey]
Atmospheric pollution
Partitioning model
Air pollution
Congeners
Semivolatile organic compounds
Wind sector
Atmospheric transport
Long range transport
Modeling
Partitioning
PCB
Pollutant transport
Regression analysis
Urban site
Volatile organic compound
Eurasia
Turkey
Polychlorinated biphenyls
Regression analysis
Volatile organic compounds
Wind effects
Partitioning model
Semivolatile organic compounds
Transport
Wind sector
Semivolatile organic-compounds
Water-surface sampler
Atmospheric pcbs
Temperature-dependence
Lake-michigan
Gas-phasepesticide concentrations
Vapor-pressure
Dry deposition
Issue Date: Jul-2007
Publisher: Elsevier Science
Citation: Cindoruk, S. S. vd. (2007). "Characterization of gas/particle concentrations and partitioning of polychlorinated biphenyls (PCBs) measured in an urban site of Turkey". Environmental Pollution, 148(1), 325-333.
Abstract: Air concentrations of polychlorinated biphenyls (PCBs) in both gas and particle phases were measured in an urban site (BUTAL-Merinos) of the city of Bursa, Turkey between August 2004 and May 2005. The mean of total (particle + gas) PCB concentrations was about 491.8 +/- 189.4 pg/m(3). The main contributors for PCBs in the sampling site were the local sources and long-range atmospheric transport supported by back trajectory analysis. Lower molecular weight PCB congeners generally dominated in the samples. The particle phase of the measured PCBs accounted for 15% of the total PCB concentrations. Gas/particle distribution was investigated using different approaches such as log K-p-log P-L(o), log K-p -log K-OA and the Junge-Pankow model. Regression analysis among log K-p, log P-L(o) and log K-OA exhibited significant correlation at p < 0.05. Correlation between PCB homologs and meteorological parameters was formed to investigate the possible relationships.
URI: https://doi.org/10.1016/j.envpol.2006.10.018
https://www.sciencedirect.com/science/article/pii/S0269749106005756
http://hdl.handle.net/11452/28231
ISSN: 02697491
Appears in Collections:PubMed
Scopus
Web of Science

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