TY  - JOUR
AU  - Ćujić, Mirjana
AU  - Ćirović, Željko
AU  - Đolić, Maja
AU  - Janković-Mandić, Ljiljana
AU  - Radenković, Mirjana
AU  - Onjia, Antonije
PY  - 2023
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/6528
AB  - The health effects attributed to exposure to ambient PM2.5 concentrations
above 10 μg/m3
by using the AirQ+ modeling software were assessed. The
hourly concentrations of PM2.5 were collected from 13 air pollution
monitoring stations in the Belgrade district during Jun and July 2021.,
which were further used as input data for the AirQ+
software. The average
concentration of PM2.5 for two-month monitoring from all sampling sites in
the city was 14.8 μg/m3
, the maximum daily concentration was 55.7 μg/m3
,
while the maximum concentration per hour was 365 μg/m3
. The spatial
distribution of concentrations was mapped using geostatistical interpolation,
revealing hotspots within the city centre and industrial area of the district.
The burden of disease, such as stroke, ischemic heart disease (IHD), chronic
obstructive pulmonary disease (COPD) and lung cancer (LC), due to the
ambient PM2.5 pollution was evaluated according to the WHO methodology
for health risk assessment of air pollution. The model used for this
assessment is based on the attributable proportion defined as the section of
the health effect related to exposure to air pollution in an at-risk population.
The estimated attributable proportion was 19.4% for stroke, 27.2% for IHD,
15.3% for COPD and 9.0% for LC. The estimated number of attributable
cases per 100,000 population at risk, due to PM2.5 air pollution, for stroke,
IHD, COPD, and LC, was 28, 34, 15, and 8, respectively.
PB  - VINČA Institute of Nuclear Sciences
T2  - Thermal Science
T1  - Assessment of the burden of disease due to PM2.5 air pollution for the Belgrade district
EP  - 2273
IS  - 3
SP  - 2265
VL  - 27
DO  - 10.2298/TSCI220131104C
ER  - 

@article{
author = "Ćujić, Mirjana and Ćirović, Željko and Đolić, Maja and Janković-Mandić, Ljiljana and Radenković, Mirjana and Onjia, Antonije",
year = "2023",
abstract = "The health effects attributed to exposure to ambient PM2.5 concentrations
above 10 μg/m3
by using the AirQ+ modeling software were assessed. The
hourly concentrations of PM2.5 were collected from 13 air pollution
monitoring stations in the Belgrade district during Jun and July 2021.,
which were further used as input data for the AirQ+
software. The average
concentration of PM2.5 for two-month monitoring from all sampling sites in
the city was 14.8 μg/m3
, the maximum daily concentration was 55.7 μg/m3
,
while the maximum concentration per hour was 365 μg/m3
. The spatial
distribution of concentrations was mapped using geostatistical interpolation,
revealing hotspots within the city centre and industrial area of the district.
The burden of disease, such as stroke, ischemic heart disease (IHD), chronic
obstructive pulmonary disease (COPD) and lung cancer (LC), due to the
ambient PM2.5 pollution was evaluated according to the WHO methodology
for health risk assessment of air pollution. The model used for this
assessment is based on the attributable proportion defined as the section of
the health effect related to exposure to air pollution in an at-risk population.
The estimated attributable proportion was 19.4% for stroke, 27.2% for IHD,
15.3% for COPD and 9.0% for LC. The estimated number of attributable
cases per 100,000 population at risk, due to PM2.5 air pollution, for stroke,
IHD, COPD, and LC, was 28, 34, 15, and 8, respectively.",
publisher = "VINČA Institute of Nuclear Sciences",
journal = "Thermal Science",
title = "Assessment of the burden of disease due to PM2.5 air pollution for the Belgrade district",
pages = "2273-2265",
number = "3",
volume = "27",
doi = "10.2298/TSCI220131104C"
}

Ćujić, M., Ćirović, Ž., Đolić, M., Janković-Mandić, L., Radenković, M.,& Onjia, A.. (2023). Assessment of the burden of disease due to PM2.5 air pollution for the Belgrade district. in Thermal Science
VINČA Institute of Nuclear Sciences., 27(3), 2265-2273.
https://doi.org/10.2298/TSCI220131104C

Ćujić M, Ćirović Ž, Đolić M, Janković-Mandić L, Radenković M, Onjia A. Assessment of the burden of disease due to PM2.5 air pollution for the Belgrade district. in Thermal Science. 2023;27(3):2265-2273.
doi:10.2298/TSCI220131104C .

Ćujić, Mirjana, Ćirović, Željko, Đolić, Maja, Janković-Mandić, Ljiljana, Radenković, Mirjana, Onjia, Antonije, "Assessment of the burden of disease due to PM2.5 air pollution for the Belgrade district" in Thermal Science, 27, no. 3 (2023):2265-2273,
https://doi.org/10.2298/TSCI220131104C . .

TY  - JOUR
AU  - Ćirović, Željko
AU  - Ćujić, Mirjana
AU  - Radenković, Mirjana
AU  - Obradović, Jelena
AU  - Onjia, Antonije
PY  - 2023
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/6527
AB  - A significant part of the population in Serbia relies on central heating systems during
the winter months, with around fifty heating plants in operation across the country.
Common fuels used in these plants primarily include fossil fuels such as fuel oil and
natural gas. Combustion of some of these fuels leads to significant emissions of air
pollutants. This study evaluates the impact on the air quality of the two heating boilers
at the Valjevo city (Serbia) heating plant. Air emissions were measured separately for
two heating boilers in the facility using standard reference methodology. The
AERMOD air dispersion model was used to estimate the dispersion of various
pollutants. A combination of topographical and meteorological data was used to set
up a receptor grid exposed to air pollution within a 10 km radius around the heating
plant. It was found that the resulting distribution and concentration gradient of
pollutant gases and particles were less inclined towards the city centre and instead
spread eastwards into the surrounding villages. The health risk from the fuel oil boiler
was shown to be significantly higher than that caused by the natural gas-fuelled boiler.
Nevertheless, the calculated carcinogenic and non-carcinogenic health risks were
within acceptable limits. However, further research is required to adequately assess
the cumulative health risk generated by other surrounding emitters.
PB  - VINČA Institute of Nuclear Sciences
T2  - Thermal Science
T1  - AERMOD air dispersion modeling and health risks of gas and oil fueled heating plant emissions
EP  - 2331
IS  - 3
SP  - 2321
VL  - 27
DO  - 10.2298/TSCI220214109C
ER  - 

@article{
author = "Ćirović, Željko and Ćujić, Mirjana and Radenković, Mirjana and Obradović, Jelena and Onjia, Antonije",
year = "2023",
abstract = "A significant part of the population in Serbia relies on central heating systems during
the winter months, with around fifty heating plants in operation across the country.
Common fuels used in these plants primarily include fossil fuels such as fuel oil and
natural gas. Combustion of some of these fuels leads to significant emissions of air
pollutants. This study evaluates the impact on the air quality of the two heating boilers
at the Valjevo city (Serbia) heating plant. Air emissions were measured separately for
two heating boilers in the facility using standard reference methodology. The
AERMOD air dispersion model was used to estimate the dispersion of various
pollutants. A combination of topographical and meteorological data was used to set
up a receptor grid exposed to air pollution within a 10 km radius around the heating
plant. It was found that the resulting distribution and concentration gradient of
pollutant gases and particles were less inclined towards the city centre and instead
spread eastwards into the surrounding villages. The health risk from the fuel oil boiler
was shown to be significantly higher than that caused by the natural gas-fuelled boiler.
Nevertheless, the calculated carcinogenic and non-carcinogenic health risks were
within acceptable limits. However, further research is required to adequately assess
the cumulative health risk generated by other surrounding emitters.",
publisher = "VINČA Institute of Nuclear Sciences",
journal = "Thermal Science",
title = "AERMOD air dispersion modeling and health risks of gas and oil fueled heating plant emissions",
pages = "2331-2321",
number = "3",
volume = "27",
doi = "10.2298/TSCI220214109C"
}

Ćirović, Ž., Ćujić, M., Radenković, M., Obradović, J.,& Onjia, A.. (2023). AERMOD air dispersion modeling and health risks of gas and oil fueled heating plant emissions. in Thermal Science
VINČA Institute of Nuclear Sciences., 27(3), 2321-2331.
https://doi.org/10.2298/TSCI220214109C

Ćirović Ž, Ćujić M, Radenković M, Obradović J, Onjia A. AERMOD air dispersion modeling and health risks of gas and oil fueled heating plant emissions. in Thermal Science. 2023;27(3):2321-2331.
doi:10.2298/TSCI220214109C .

Ćirović, Željko, Ćujić, Mirjana, Radenković, Mirjana, Obradović, Jelena, Onjia, Antonije, "AERMOD air dispersion modeling and health risks of gas and oil fueled heating plant emissions" in Thermal Science, 27, no. 3 (2023):2321-2331,
https://doi.org/10.2298/TSCI220214109C . .

TY  - CONF
AU  - Ćirović, Željko
AU  - Ćujić, Mirjana
AU  - Radenković, Mirjana
AU  - Onjia, Antonije
PY  - 2021
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7094
AB  - A significant proportion of homes and apartments in Serbia are still reliant on central heating systems during
winter months, with about fifty heating plants in operation. Common fuels used in these plants primarily
include fossil fuels such as coal, fuel oil, and natural gas. Some of these fuels have a high sulfur content, leading
to an increased concentration of sulfur dioxide and particulate matter in the atmosphere (Todorović et al, 2020;
Todorović et al, 2021). This study compares and evaluates the environmental impact of the two heating boilers
at the Valjevo city (Serbia) heating plant. The AERMOD air dispersion model was used for estimating the
concentrations of the various pollutants (Kakosimos et al, 2011; Mokhtar et al, 2014; Shaikh et al, 2020). Onsite
emission data were gathered separately for the two heating boilers at the facility fuelled by natural gas and fuel
oil, respectively. A combination of topographical and historical meteorological data were used to set up a
receptor grid that was exposed to the gas emission in a radius of 10 km. The environmental impact from the
fuel oil boiler was shown to be significantly higher than that caused by the natural gas-fuelled boiler. The
resulting distribution of pollutant gases and particles showed that the concentration gradient is less inclined
towards the city centre and instead spreads eastwards into the surrounding villages. The data were used to
evaluate carcinogenic and non-carcinogenic health risks. It was found that the health risk was acceptable for
different averaging periods. However, further study is still required in order to properly assess the cumulative
health risk generated by other surrounding industries.
PB  - Belgrade : Vinča Institute of Nuclear Sciences
C3  - Abstracts of keynote invited lectures and contributed papers / The Eighth International WEBIOPATR Workshop & Conference Particulate Matter: Research and Management, WeBIOPATR 2021, 29th November to 1st December 2021 Vinča, Belgrade, Serbia
T1  - Health Risk Assessment of Particulate Matter Emissions from Natural Gas and Fuel Oil Heating Plants Using Dispersion Modelling
SP  - 30
UR  - https://hdl.handle.net/21.15107/rcub_technorep_7094
ER  - 

@conference{
author = "Ćirović, Željko and Ćujić, Mirjana and Radenković, Mirjana and Onjia, Antonije",
year = "2021",
abstract = "A significant proportion of homes and apartments in Serbia are still reliant on central heating systems during
winter months, with about fifty heating plants in operation. Common fuels used in these plants primarily
include fossil fuels such as coal, fuel oil, and natural gas. Some of these fuels have a high sulfur content, leading
to an increased concentration of sulfur dioxide and particulate matter in the atmosphere (Todorović et al, 2020;
Todorović et al, 2021). This study compares and evaluates the environmental impact of the two heating boilers
at the Valjevo city (Serbia) heating plant. The AERMOD air dispersion model was used for estimating the
concentrations of the various pollutants (Kakosimos et al, 2011; Mokhtar et al, 2014; Shaikh et al, 2020). Onsite
emission data were gathered separately for the two heating boilers at the facility fuelled by natural gas and fuel
oil, respectively. A combination of topographical and historical meteorological data were used to set up a
receptor grid that was exposed to the gas emission in a radius of 10 km. The environmental impact from the
fuel oil boiler was shown to be significantly higher than that caused by the natural gas-fuelled boiler. The
resulting distribution of pollutant gases and particles showed that the concentration gradient is less inclined
towards the city centre and instead spreads eastwards into the surrounding villages. The data were used to
evaluate carcinogenic and non-carcinogenic health risks. It was found that the health risk was acceptable for
different averaging periods. However, further study is still required in order to properly assess the cumulative
health risk generated by other surrounding industries.",
publisher = "Belgrade : Vinča Institute of Nuclear Sciences",
journal = "Abstracts of keynote invited lectures and contributed papers / The Eighth International WEBIOPATR Workshop & Conference Particulate Matter: Research and Management, WeBIOPATR 2021, 29th November to 1st December 2021 Vinča, Belgrade, Serbia",
title = "Health Risk Assessment of Particulate Matter Emissions from Natural Gas and Fuel Oil Heating Plants Using Dispersion Modelling",
pages = "30",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7094"
}

Ćirović, Ž., Ćujić, M., Radenković, M.,& Onjia, A.. (2021). Health Risk Assessment of Particulate Matter Emissions from Natural Gas and Fuel Oil Heating Plants Using Dispersion Modelling. in Abstracts of keynote invited lectures and contributed papers / The Eighth International WEBIOPATR Workshop & Conference Particulate Matter: Research and Management, WeBIOPATR 2021, 29th November to 1st December 2021 Vinča, Belgrade, Serbia
Belgrade : Vinča Institute of Nuclear Sciences., 30.
https://hdl.handle.net/21.15107/rcub_technorep_7094

Ćirović Ž, Ćujić M, Radenković M, Onjia A. Health Risk Assessment of Particulate Matter Emissions from Natural Gas and Fuel Oil Heating Plants Using Dispersion Modelling. in Abstracts of keynote invited lectures and contributed papers / The Eighth International WEBIOPATR Workshop & Conference Particulate Matter: Research and Management, WeBIOPATR 2021, 29th November to 1st December 2021 Vinča, Belgrade, Serbia. 2021;:30.
https://hdl.handle.net/21.15107/rcub_technorep_7094 .

Ćirović, Željko, Ćujić, Mirjana, Radenković, Mirjana, Onjia, Antonije, "Health Risk Assessment of Particulate Matter Emissions from Natural Gas and Fuel Oil Heating Plants Using Dispersion Modelling" in Abstracts of keynote invited lectures and contributed papers / The Eighth International WEBIOPATR Workshop & Conference Particulate Matter: Research and Management, WeBIOPATR 2021, 29th November to 1st December 2021 Vinča, Belgrade, Serbia (2021):30,
https://hdl.handle.net/21.15107/rcub_technorep_7094 .

TY  - JOUR
AU  - Radomirović, Milena
AU  - Ćirović, Željko
AU  - Maksin, Danijela
AU  - Bakić, Tamara
AU  - Lukić, Jelena
AU  - Stanković, Slavka
AU  - Onjia, Antonije
PY  - 2020
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4357
AB  - Soil samples from the site of the former largest paint and varnish factory in ex-Yugoslavia were analyzed for arsenic and eight heavy metals (Pb, Cd, Zn, Cr, Ni, Cu, Fe, and Hg). Several additional soil properties (pH, sulfur, nitrogen, phosphorus, and water content) were also measured. Multivariate analysis showed strong correlations between Pb and Zn; and a moderate correlation between Cu and Ni. There was no correlation between heavy metals and any of the analyzed soil properties parameters. A factor analysis grouped most heavy metals, except Cd, which showed different behavior, and Fe and As, which associated with soil properties. The soil samples were clustered into two distinctive groups. Positive matrix factorization receptor modeling clearly identified Zn and Pb as belonging to the traffic vehicle factor. The second factor dominating arsenic was industrial chemical emissions, while the third factor containing most of the heavy metals was attributed to natural background variation. The last non-metallic factor, dominated by sulfur, was the result of past activities in the paint facility. The average enrichment factor values were for the metals analyzed were: 0.73; 0.71; 2.4; 0.58; 2.3; 0.87; 1.6; and 0.76; for Cr, Cd, Pb, Ni, Zn, Cu, As, and Hg, respectively. Only moderate soil enrichment by Pb and Zn was found. The geoaccumulation index values showed a moderately polluted soil with Pb and Zn, but most contributing to the ecological risk were Cd with 63% and Hg with 19%. These two metals are of major concern in this case study due to their high toxicity, even though they are present at very low concentrations. Generally, a moderate ecological risk was estimated for most soil samples, except for a small number of high-risk samples. Spatial distribution mapped three severely polluted sub-areas. In general, the paint and varnish industry moderately contributes to the contamination of soil. The main ecological risk from metal contamination is not related to the paint technological production process itself, but from other activities at the site that deposit of heavy metals into the soil.
PB  - Frontiers Media Sa, Lausanne
T2  - Frontiers in Environmental Science
T1  - Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility
VL  - 8
DO  - 10.3389/fenvs.2020.560415
ER  - 

@article{
author = "Radomirović, Milena and Ćirović, Željko and Maksin, Danijela and Bakić, Tamara and Lukić, Jelena and Stanković, Slavka and Onjia, Antonije",
year = "2020",
abstract = "Soil samples from the site of the former largest paint and varnish factory in ex-Yugoslavia were analyzed for arsenic and eight heavy metals (Pb, Cd, Zn, Cr, Ni, Cu, Fe, and Hg). Several additional soil properties (pH, sulfur, nitrogen, phosphorus, and water content) were also measured. Multivariate analysis showed strong correlations between Pb and Zn; and a moderate correlation between Cu and Ni. There was no correlation between heavy metals and any of the analyzed soil properties parameters. A factor analysis grouped most heavy metals, except Cd, which showed different behavior, and Fe and As, which associated with soil properties. The soil samples were clustered into two distinctive groups. Positive matrix factorization receptor modeling clearly identified Zn and Pb as belonging to the traffic vehicle factor. The second factor dominating arsenic was industrial chemical emissions, while the third factor containing most of the heavy metals was attributed to natural background variation. The last non-metallic factor, dominated by sulfur, was the result of past activities in the paint facility. The average enrichment factor values were for the metals analyzed were: 0.73; 0.71; 2.4; 0.58; 2.3; 0.87; 1.6; and 0.76; for Cr, Cd, Pb, Ni, Zn, Cu, As, and Hg, respectively. Only moderate soil enrichment by Pb and Zn was found. The geoaccumulation index values showed a moderately polluted soil with Pb and Zn, but most contributing to the ecological risk were Cd with 63% and Hg with 19%. These two metals are of major concern in this case study due to their high toxicity, even though they are present at very low concentrations. Generally, a moderate ecological risk was estimated for most soil samples, except for a small number of high-risk samples. Spatial distribution mapped three severely polluted sub-areas. In general, the paint and varnish industry moderately contributes to the contamination of soil. The main ecological risk from metal contamination is not related to the paint technological production process itself, but from other activities at the site that deposit of heavy metals into the soil.",
publisher = "Frontiers Media Sa, Lausanne",
journal = "Frontiers in Environmental Science",
title = "Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility",
volume = "8",
doi = "10.3389/fenvs.2020.560415"
}

Radomirović, M., Ćirović, Ž., Maksin, D., Bakić, T., Lukić, J., Stanković, S.,& Onjia, A.. (2020). Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility. in Frontiers in Environmental Science
Frontiers Media Sa, Lausanne., 8.
https://doi.org/10.3389/fenvs.2020.560415

Radomirović M, Ćirović Ž, Maksin D, Bakić T, Lukić J, Stanković S, Onjia A. Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility. in Frontiers in Environmental Science. 2020;8.
doi:10.3389/fenvs.2020.560415 .

Radomirović, Milena, Ćirović, Željko, Maksin, Danijela, Bakić, Tamara, Lukić, Jelena, Stanković, Slavka, Onjia, Antonije, "Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility" in Frontiers in Environmental Science, 8 (2020),
https://doi.org/10.3389/fenvs.2020.560415 . .