Naslov (eng)

Molecular structure model for predicting atmospheric distribution of polycyclic aromatic hydrocarbons

Autor

Okuka, Marija
Šenk, Nevena
Miloradov Vojinović, Mirjana
Radonić, Jelena
Sekulić Turk, Maja

Publisher

Slovak University of Technology in Bratislava, Slovak Republic

Opis (eng)

Abstract: Intensive industrial development in the 20lh century has raised and changed living standards and at the same time, increased contamination and degradation of environmental resources. Contaminants that are distributed in all segments of the environment are a risk to ecosystems and human health and therefore, monitoring of harmful substances and especially waste ma¬nagement, which prevents release of toxic and hazardous substances, is crucial and important for environmental protection. Polycyclic aromatic hydrocarbons (PAHs) are especially stu¬died organic molecules due to their continuous release from uncontrolled and incomplete combustion, resistance, long-range transport, ubiquity and global distribution and high toxici¬ty of certain representatives of this group. The largest emissions of PAHs result from indus¬trial processes, human activities and incomplete combustion of organic matter. Released gas molecules of PAHs in the atmosphere are mainly ad/absorbed onto particulate matter. Parti¬tioning of PAHs between gaseous and particulate phase of ambient air and concentration le¬vels are important for determining their fate in the environment. The partition of sixteen PAHs from EPA’s priority pollutants list between gaseous and particulate phase, has been predicted using molecular structure model. Gas/particle partitioning coefficient has been calculated using an on-line calculator SPARC v4.5 (Molecular Structure Model) and then compared with experimentally gained values at 6 locations in Republic of Serbia, in two cities Novi Sad and Kragujevac [1]. Experimental values are obtained within APOPSBAL project.

Jezik

engleski

Datum

2011

Licenca

© All rights reserved

Predmet

PAHs, gas/particle partitioning coefficient, molecular structure model