%0 Journal Article
%T Prediction of gas-particle partitioning of polycyclic aromatic hydrocarbons based on M5' model trees
%A Radoni£¿ Jelena R.
%A £¿ulibrk Dubravko R.
%A Vojinovi£¿-Miloradov Mirjana B.
%A Kuki£¿ Branislav P.
%J Thermal Science
%D 2012
%I VIN?A Institute of Nuclear Sciences
%R 10.2298/tsci1202551r
%X During the thermal combustion processes of carbon-enriched organic compounds, emission of polycyclic aromatic hydrocarbons into ambient air occurs. Previous studies of atmospheric distribution of polycyclic aromatic hydrocarbons showed low correlation between the experimental values and Junge-Pankow theoretical adsorption model, suggesting that other approaches should be used to describe the partitioning phenomena. The paper evaluates the applicability of multivariate piece-wise-linear M5' model-tree models to the problem of gas-particle partition-ing. Experimental values of particle-associated fraction, obtained for 129 ambient air samples collected at 24 background, urban, and industrial sites, were compared to the prediction results obtained using M5' and the Junge-Pankow model. The M5' approach proposed and models learned are able to achieve good correlation (cor-relation coefficient >0.9) for some low-molecular-weight compounds, when the target is to predict the concentration of gas phase based on the particle-associated phase. When converted to particle-bound fraction values, the results, for selected compounds, are superior to those obtained by Junge-Pankow model by several or-ders of magnitude, in terms of the prediction error.
%K ambient air
%K high volume sampling
%K gas-particle partitioning
%K polycyclic aromatic hydrocarbons
%K M5'model trees
%K data mining
%U http://www.doiserbia.nb.rs/img/doi/0354-9836/2012/0354-98361202551R.pdf