Hemijska industrija 2011 Volume 65, Issue 4, Pages: 371-380
https://doi.org/10.2298/HEMIND101013046T
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Assessment of atmospheric distribution of polychlorinated biphenyls and polycyclic aromatic hydrocarbons using polyparameter model
Turk-Sekulić Maja M. (Faculty of Technical Sciences, Novi Sad)
Radonić Jelena R. (Faculty of Technical Sciences, Novi Sad)
Vojinović-Miloradov Mirjana B. (Faculty of Technical Sciences, Novi Sad)
Šenk Nevena V. (Faculty of Technical Sciences, Novi Sad)
Okuka Marija S. (Faculty of Technical Sciences, Novi Sad)
Results of partial or total destruction of industrial plants, military
targets, infrastructure, uncontrolled fires and explosions during the
conflict period from 1991 to 1999, at the area of Western Balkans, were large
amounts of hazardous organic matter that have been generated and emitted in
the environment. In order to assess gas/particle partition of seven EPA
polychlorinated biphenyls and sixteen EPA polycyclic aromatic hydrocarbons,
twenty air samples have been collected at six urban, industrial and highly
contaminated localities in Vojvodina. Hi-Vol methodology has been used for
collecting ambiental air samples, that simultaneously collects gaseous and
particulate phase with polyurethane foam filters (PUF) and glass fiber
filters (GFF). PUF and GFF filters have been analyzed, and concentration
levels of gaseous PCBs and PAHs molecules in gaseous and particulate phase
were obtained, converted and expressed through fraction of individual
compounds sorbed onto particulate phase of the sample, in total detected
quantity. Experimentally gained gas/particle partitioning values of PCBs and
PAHs molecules have been compared with PP-LFER model estimated values.
Significant deviation has been noticed during comparative analysis of
estimated polyparameter model values for complete set of seven PCBs
congeners. Much better agreement of experimental and estimated values is for
polycyclic aromatic hydrocarbons, especially for molecules with four rings.
These results are in a good correlation with literature data where
polyparameter model has been used for predicting gas/particle partition of
studied group of organic molecules.
Keywords: polychlorinated biphenyls, polycyclic aromatic hydrocarbons, PP-LFER, gas/particle partitioning coefficient
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