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Sostaric A.,Institute of Public Health Belgrade | Stojic A.,University of Belgrade | Stanisic Stojic S.,University of Belgrade | Grzetic I.,University of Belgrade
Chemosphere | Year: 2016

In this study an analytical system was developed for determination of quantitative characteristics of BTEX distribution between gaseous and aqueous phase. Dynamic dilution system was coupled with Proton Transfer Reaction Mass Spectrometer (PTR-MS) to provide conditions for partitioning between the two phases resembling the interactions during rainfall. The amount of the target species retained in water were significantly higher than suggested by theoretical predictions indicating that dissolution is not the major mechanism of gaseous BTEX uptake in aqueous phase. Distribution coefficients and enrichment factors were calculated, and the possible mechanisms of partitioning were considered. As concluded, the interfacial adsorption and van der Waals interactions play significant role, whereas hydrogen-bond interactions have no major contribution to BTEX partitioning. © 2015 Elsevier Ltd. Source


Perisic M.,University of Belgrade | Stojic A.,University of Belgrade | Stanisic Stojic S.,Singidunum University | Sostaric A.,Institute of Public Health Belgrade | And 2 more authors.
Air Quality, Atmosphere and Health | Year: 2015

The main purpose of this study was to assess the exceedance frequency of the EU (50 μg m−3) and US EPA (150 μg m−3) daily PM10 limit values, as well as the emission source reduction required to comply with air quality standards. The analysis was based on a 10-year (2003–2013) data set obtained for the Belgrade (Serbia) urban area, which is seriously affected by pollution. General probability (Pearson 5, lognormal and Weibull) and extreme value (two-parameter exponential and Gumbel’s) distributions were used to fit data and to estimate the number of exceedances. With the use of best fitting general probability distribution and rollback equation, the required reduction was determined to be in the range of 12 to 98 % for some years, although for others the total reduction of moderate sources would be insufficient to meet air quality regulations. The required emission reduction of strong sources for the whole monitoring period was estimated by means of extreme value distributions at about 45 %. The aforementioned methods can be successfully applied for prediction of pollutant loads, as well as for estimation of required reductions. As pollution in Belgrade is largely seen as the result of outdated technology, emission reduction measures must primarily rely on technological improvements and advances. © 2014, Springer Science+Business Media Dordrecht. Source


Stojic A.,University of Belgrade | Stojic S.S.,University of Belgrade | Reljin I.,University of Belgrade | Cabarkapa M.,University of Belgrade | And 4 more authors.
Environmental Science and Pollution Research | Year: 2016

In this study, we investigated the impact of potential emission sources and transport pathways on annual and seasonal PM10 loadings in an urban area of Belgrade (Serbia). The analyzed dataset comprised PM10 mass concentrations for the period 2003–2015, as well as their chemical composition (organic/elemental carbon, benzo[a]pyrene, As, Cd, Cr, Mn, Ni, Pb, Cl−, Na+, Mg2+, Ca2+, K+, NO3 −, SO4 2−, and NH4 +), meteorological parameters, and concentrations of inorganic gaseous pollutants and soot for the period 2011–2015. The combination of different methods, such as source apportionment (Unmix), ensemble learning method (random forest), and multifractal and inverse multifractal analysis, was utilized in order to obtain a detailed description of the PM10 origin and spatio-temporal distribution and to determine their relationship with other pollutants and meteorological parameters. The contribution of long-range and regional transport was estimated by means of trajectory sector analysis, whereas the hybrid receptor models were applied to identify potential areas of concern. © 2016 Springer-Verlag Berlin Heidelberg Source


Perisic M.,University of Belgrade | Rajsic S.,University of Belgrade | Sostaric A.,Institute of Public Health Belgrade | Mijic Z.,University of Belgrade | Stojic A.,University of Belgrade
Air Quality, Atmosphere and Health | Year: 2016

The aim of this study was to identify levels of population health risk caused by the inhalation of PM10-bound species in an urban area. A combination of multiple location measurements, several analytical tools, and cancer and non-cancer health risk assessment was used to evaluate influences of proximate anthropogenic activities and air pollution transport. The concentrations of PM10, six trace metals (As, Cd, Cr, Mn, Ni and Pb) and benzo[a]pyrene were measured at 15 air quality monitoring stations during the period 2011–2015 in a wide area of Belgrade (Serbia). Significant population health risk was estimated as a result of exposure to particulate air pollution. The concentrations of PM10, As, Ni and benzo[a]pyrene exceeded the EU Directive limit and target values. Of all the analysed species, Cr was the major contributor to carcinogenic health risk. Besides strong local sources related to traffic and industry, the influence of transported pollution is estimated in the range 8.95–36.07 %, with potentially the most important sources being located in East and West Europe. © 2016 Springer Science+Business Media Dordrecht Source


Stojic A.,University of Belgrade | Stanisic Stojic S.,Singidunum University | Mijic Z.,University of Belgrade | Sostaric A.,Institute of Public Health Belgrade | Rajsic S.,University of Belgrade
Atmospheric Environment | Year: 2015

In the present study, the concentrations of VOC were measured using Proton Transfer Reaction Mass Spectrometer, together with NOx, NO2, NO, SO2, CO, and PM10 during winter 2014 in Belgrade, Serbia. For the purpose of source apportionment, receptor models Positive Matrix Factorization and Unmix were applied to the obtained dataset, both resolving six profiles. The reliable identification of pollutant sources, description of their characteristics, and estimation of their spatio-temporal distribution are presented through comprehensive analysis and comparison of receptor model solutions, with respect to meteorological data, planetary boundary layer height, and regional and long-range transport. For emissions from petrochemical industry and oil refinery a significant contribution of transport is observed, and hybrid receptor models were applied for identification of potential non-local source regions. © 2015 Published by Elsevier Ltd. Source

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