TY  - JOUR
AU  - Stevanović, Svetlana
AU  - Jovanović, Maja
AU  - Jovašević-Stojanović, Milena
AU  - Ristovski, Zoran
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/13097
AB  - In numerous epidemiological studies, exposure to particulate matter (PM) has been associated with negative health outcomes. It has been established so far that the detrimental health effects of particles cannot be explained by a single parameter, such as particle mass, as the complexity of chemical composition and reactivity of particles are not always represented by the mass loadings. The oxidative potential (OP) of aerosol particles represents a promising indicator of their potential toxicity. To develop strategies and regulations at improving the air quality, an increasing number of studies are focused on the application of source apportionment (SA) of PM., while a limited number of SA investigations have been applied to OP. In this review previous research of SA of atmospheric PM OP and proposed guidelines for future studies are summarized. Most of the research studies were carried out in an urban area and focused on PM2.5, while few studies examined other PM fractions. It was noted that the three dominant contributors to OP were biomass burning (9-97%), secondary aerosols (6-67%), and traffic/vehicles (16-88%). The presence of other factors that contributed to the in-crease of OP to a lesser extent depended on the location and season. Further, a considerable discrepancy in the contribution of various OP vs. PM sources was discovered using SA models. Because of this, the use of SA is not equivalent when considering the mass of PM and its toxicity.
T2  - Thermal Science
T1  - Source apportionment of oxidative potential: What we know so far
VL  - 27
IS  - 3 Part B
SP  - 2347
EP  - 2357
DO  - 10.2298/TSCI221107111S
ER  - 

@article{
author = "Stevanović, Svetlana and Jovanović, Maja and Jovašević-Stojanović, Milena and Ristovski, Zoran",
year = "2023",
abstract = "In numerous epidemiological studies, exposure to particulate matter (PM) has been associated with negative health outcomes. It has been established so far that the detrimental health effects of particles cannot be explained by a single parameter, such as particle mass, as the complexity of chemical composition and reactivity of particles are not always represented by the mass loadings. The oxidative potential (OP) of aerosol particles represents a promising indicator of their potential toxicity. To develop strategies and regulations at improving the air quality, an increasing number of studies are focused on the application of source apportionment (SA) of PM., while a limited number of SA investigations have been applied to OP. In this review previous research of SA of atmospheric PM OP and proposed guidelines for future studies are summarized. Most of the research studies were carried out in an urban area and focused on PM2.5, while few studies examined other PM fractions. It was noted that the three dominant contributors to OP were biomass burning (9-97%), secondary aerosols (6-67%), and traffic/vehicles (16-88%). The presence of other factors that contributed to the in-crease of OP to a lesser extent depended on the location and season. Further, a considerable discrepancy in the contribution of various OP vs. PM sources was discovered using SA models. Because of this, the use of SA is not equivalent when considering the mass of PM and its toxicity.",
journal = "Thermal Science",
title = "Source apportionment of oxidative potential: What we know so far",
volume = "27",
number = "3 Part B",
pages = "2347-2357",
doi = "10.2298/TSCI221107111S"
}

Stevanović, S., Jovanović, M., Jovašević-Stojanović, M.,& Ristovski, Z.. (2023). Source apportionment of oxidative potential: What we know so far. in Thermal Science, 27(3 Part B), 2347-2357.
https://doi.org/10.2298/TSCI221107111S

Stevanović S, Jovanović M, Jovašević-Stojanović M, Ristovski Z. Source apportionment of oxidative potential: What we know so far. in Thermal Science. 2023;27(3 Part B):2347-2357.
doi:10.2298/TSCI221107111S .

Stevanović, Svetlana, Jovanović, Maja, Jovašević-Stojanović, Milena, Ristovski, Zoran, "Source apportionment of oxidative potential: What we know so far" in Thermal Science, 27, no. 3 Part B (2023):2347-2357,
https://doi.org/10.2298/TSCI221107111S . .

TY  - CONF
AU  - Davidović, Miloš
AU  - Kleut, Duška
AU  - Davidović, Milena D.
AU  - Stojanović, Danka B.
AU  - Jovašević-Stojanović, Milena
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/13046
AB  - Atmospheric aerosols in urban areas typically consist of particles of different diameters, which can range in size from a few nanometers to a few micrometers and can have a strong impact on human health [1,2]. This motivates the need to measure aerosol concentration accurately, but it is often also necessary to combine results from several instruments, with fundamentally different measurement principles. In this work, methods based on the measurement of the electrical mobility of particles, for the range of diameters from 10nm to 420nm, and the measurement of the equivalent optical diameter, for the range of diameters from 300nm to 10um, were used. Combining the overlapping region in two size distribution spectra can be used to infer equivalent optical properties of the ambient aerosol, and examples of measured and combined spectra in several urban hot spots in Bay of Kotor are analyzed in some detail. These examples will illustrate several aspects of urban aerosol properties not readily available in a typical regulatory monitoring setting, such as distribution of modes in number and mass concentration, as well as optical properties of measured aerosol.  As the main result, examples of combining particle size spectrums are presented. In the process of combining the particle size spectra, it is possible to modify the distribution obtained by optical measurements by searching for the optimal value of the refractive index of the particles to obtain the best possible agreement with the size distribution obtained by measuring the electrical mobility. An equivalent refractive index as well as the equivalent shape factor of the ambient aerosol is obtained using Mie scattering theory as a theoretical framework [3]. The measurement results from the mobile monitoring campaign in Bay of Kotor in 2017 were used to elucidate the main principles of size spectrum combination, as well as to showcase diversity of equivalent optical properties of urban aerosols.
PB  - Belgrade : Institute of Physics
C3  - 16th Photonics Workshop : Book of abstracts
T1  - Combining size distribution spectrums of ambient aerosols using equivalent optical properties of nanosized particles – selected examples from the Bay of Kotor
SP  - 26
EP  - 26
UR  - https://hdl.handle.net/21.15107/rcub_vinar_13046
ER  - 

@conference{
author = "Davidović, Miloš and Kleut, Duška and Davidović, Milena D. and Stojanović, Danka B. and Jovašević-Stojanović, Milena",
year = "2023",
abstract = "Atmospheric aerosols in urban areas typically consist of particles of different diameters, which can range in size from a few nanometers to a few micrometers and can have a strong impact on human health [1,2]. This motivates the need to measure aerosol concentration accurately, but it is often also necessary to combine results from several instruments, with fundamentally different measurement principles. In this work, methods based on the measurement of the electrical mobility of particles, for the range of diameters from 10nm to 420nm, and the measurement of the equivalent optical diameter, for the range of diameters from 300nm to 10um, were used. Combining the overlapping region in two size distribution spectra can be used to infer equivalent optical properties of the ambient aerosol, and examples of measured and combined spectra in several urban hot spots in Bay of Kotor are analyzed in some detail. These examples will illustrate several aspects of urban aerosol properties not readily available in a typical regulatory monitoring setting, such as distribution of modes in number and mass concentration, as well as optical properties of measured aerosol.  As the main result, examples of combining particle size spectrums are presented. In the process of combining the particle size spectra, it is possible to modify the distribution obtained by optical measurements by searching for the optimal value of the refractive index of the particles to obtain the best possible agreement with the size distribution obtained by measuring the electrical mobility. An equivalent refractive index as well as the equivalent shape factor of the ambient aerosol is obtained using Mie scattering theory as a theoretical framework [3]. The measurement results from the mobile monitoring campaign in Bay of Kotor in 2017 were used to elucidate the main principles of size spectrum combination, as well as to showcase diversity of equivalent optical properties of urban aerosols.",
publisher = "Belgrade : Institute of Physics",
journal = "16th Photonics Workshop : Book of abstracts",
title = "Combining size distribution spectrums of ambient aerosols using equivalent optical properties of nanosized particles – selected examples from the Bay of Kotor",
pages = "26-26",
url = "https://hdl.handle.net/21.15107/rcub_vinar_13046"
}

Davidović, M., Kleut, D., Davidović, M. D., Stojanović, D. B.,& Jovašević-Stojanović, M.. (2023). Combining size distribution spectrums of ambient aerosols using equivalent optical properties of nanosized particles – selected examples from the Bay of Kotor. in 16th Photonics Workshop : Book of abstracts
Belgrade : Institute of Physics., 26-26.
https://hdl.handle.net/21.15107/rcub_vinar_13046

Davidović M, Kleut D, Davidović MD, Stojanović DB, Jovašević-Stojanović M. Combining size distribution spectrums of ambient aerosols using equivalent optical properties of nanosized particles – selected examples from the Bay of Kotor. in 16th Photonics Workshop : Book of abstracts. 2023;:26-26.
https://hdl.handle.net/21.15107/rcub_vinar_13046 .

Davidović, Miloš, Kleut, Duška, Davidović, Milena D., Stojanović, Danka B., Jovašević-Stojanović, Milena, "Combining size distribution spectrums of ambient aerosols using equivalent optical properties of nanosized particles – selected examples from the Bay of Kotor" in 16th Photonics Workshop : Book of abstracts (2023):26-26,
https://hdl.handle.net/21.15107/rcub_vinar_13046 .

TY  - JOUR
AU  - De Vito, Saverio
AU  - D’Elia, Gerardo
AU  - Ferlito, Sergio
AU  - Di Francia, Girolamo
AU  - Davidović, Miloš
AU  - Kleut, Duška
AU  - Stojanović, Danka
AU  - Jovašević-Stojanović, Milena
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12046
AB  - Scalable and effective calibration is a fundamental requirement for Low Cost Air Quality Monitoring Systems and will enable accurate and pervasive monitoring in cities. Suffering from environmental interferences and fabrication variance, these devices need to encompass sensors specific and complex calibration processes for reaching a sufficient accuracy to be deployed as indicative measurement devices in Air Quality (AQ) monitoring networks. Concept and sensor drift often force calibration process to be frequently repeated. These issues lead to unbearable calibration costs which denies their massive deployment when accuracy is a concern. In this work, We propose a zero transfer samples, global calibration methodology as a technological enabler for IoT AQ multisensory devices which relies on low cost Particulate Matter (PM) sensors. This methodology is based on field recorded responses from a limited number of IoT AQ multisensors units and machine learning concepts and can be universally applied to all units of the same type. A multi season test campaign shown that, when applied to different sensors, this methodology performances match those of state of the art methodology which requires to derive different calibration parameters for each different unit. If confirmed, these results show that, when properly derived, a global calibration law can be exploited for a large number of networked devices with dramatic cost reduction eventually allowing massive deployment of accurate IoT AQ monitoring devices. Furthermore, this calibration model could be easily embedded on board of the device or implemented on the edge allowing immediate access to accurate readings for personal exposure monitor applications as well as reducing long range data transfer needs.
T2  - IEEE Transactions on Instrumentation and Measurement
T1  - A Global Multi-Unit Calibration as a Method for Large Scale IoT Particulate Matter Monitoring Systems Deployments
SP  - 1
EP  - 1
DO  - 10.1109/TIM.2023.3331428
ER  - 

@article{
author = "De Vito, Saverio and D’Elia, Gerardo and Ferlito, Sergio and Di Francia, Girolamo and Davidović, Miloš and Kleut, Duška and Stojanović, Danka and Jovašević-Stojanović, Milena",
year = "2023",
abstract = "Scalable and effective calibration is a fundamental requirement for Low Cost Air Quality Monitoring Systems and will enable accurate and pervasive monitoring in cities. Suffering from environmental interferences and fabrication variance, these devices need to encompass sensors specific and complex calibration processes for reaching a sufficient accuracy to be deployed as indicative measurement devices in Air Quality (AQ) monitoring networks. Concept and sensor drift often force calibration process to be frequently repeated. These issues lead to unbearable calibration costs which denies their massive deployment when accuracy is a concern. In this work, We propose a zero transfer samples, global calibration methodology as a technological enabler for IoT AQ multisensory devices which relies on low cost Particulate Matter (PM) sensors. This methodology is based on field recorded responses from a limited number of IoT AQ multisensors units and machine learning concepts and can be universally applied to all units of the same type. A multi season test campaign shown that, when applied to different sensors, this methodology performances match those of state of the art methodology which requires to derive different calibration parameters for each different unit. If confirmed, these results show that, when properly derived, a global calibration law can be exploited for a large number of networked devices with dramatic cost reduction eventually allowing massive deployment of accurate IoT AQ monitoring devices. Furthermore, this calibration model could be easily embedded on board of the device or implemented on the edge allowing immediate access to accurate readings for personal exposure monitor applications as well as reducing long range data transfer needs.",
journal = "IEEE Transactions on Instrumentation and Measurement",
title = "A Global Multi-Unit Calibration as a Method for Large Scale IoT Particulate Matter Monitoring Systems Deployments",
pages = "1-1",
doi = "10.1109/TIM.2023.3331428"
}

De Vito, S., D’Elia, G., Ferlito, S., Di Francia, G., Davidović, M., Kleut, D., Stojanović, D.,& Jovašević-Stojanović, M.. (2023). A Global Multi-Unit Calibration as a Method for Large Scale IoT Particulate Matter Monitoring Systems Deployments. in IEEE Transactions on Instrumentation and Measurement, 1-1.
https://doi.org/10.1109/TIM.2023.3331428

De Vito S, D’Elia G, Ferlito S, Di Francia G, Davidović M, Kleut D, Stojanović D, Jovašević-Stojanović M. A Global Multi-Unit Calibration as a Method for Large Scale IoT Particulate Matter Monitoring Systems Deployments. in IEEE Transactions on Instrumentation and Measurement. 2023;:1-1.
doi:10.1109/TIM.2023.3331428 .

De Vito, Saverio, D’Elia, Gerardo, Ferlito, Sergio, Di Francia, Girolamo, Davidović, Miloš, Kleut, Duška, Stojanović, Danka, Jovašević-Stojanović, Milena, "A Global Multi-Unit Calibration as a Method for Large Scale IoT Particulate Matter Monitoring Systems Deployments" in IEEE Transactions on Instrumentation and Measurement (2023):1-1,
https://doi.org/10.1109/TIM.2023.3331428 . .

Jovašević-Stojanović, M., de Vito, S., Davidović, M. D., Ristovski, Z.,& Bartonova, A.. (2023). Particulate matter research and management in Serbia. in Thermal Science, 27(3 Part B), XI-XV.
https://doi.org/10.2298/TSCI230300XIJ

Jovašević-Stojanović M, de Vito S, Davidović MD, Ristovski Z, Bartonova A. Particulate matter research and management in Serbia. in Thermal Science. 2023;27(3 Part B):XI-XV.
doi:10.2298/TSCI230300XIJ .

Jovašević-Stojanović, Milena, de Vito, Saverio, Davidović, Miloš D., Ristovski, Zoran, Bartonova, Alena, "Particulate matter research and management in Serbia" in Thermal Science, 27, no. 3 Part B (2023):XI-XV,
https://doi.org/10.2298/TSCI230300XIJ . .

TY  - JOUR
AU  - Stojanović, Danka
AU  - Kleut, Duška
AU  - Davidović, Miloš
AU  - de Vito, Saverio
AU  - Jovašević-Stojanović, Milena
AU  - Bartonova, Alena
AU  - Lepioufle, Jean-Marie
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12957
AB  - Particulate matter (PM) in air has been proven to be hazardous to human health. Here we focused on analysis of PM data we obtained from the same campaign which was presented in our previous study. Multivariate linear and random forest models were used for the calibration and analysis. In our linear regression model the inputs were PM, temperature and humidity measured with low-cost sensors, and the target was the reference PM measurements obtained from SEPA in the same timeframe.
T2  - Thermal Science
T1  - Low-processing data enrichment and calibration for PM2.5 low-cost sensors
VL  - 27
IS  - 3 Part B
SP  - 2229
EP  - 2240
DO  - 10.2298/TSCI221109221S
ER  - 

@article{
author = "Stojanović, Danka and Kleut, Duška and Davidović, Miloš and de Vito, Saverio and Jovašević-Stojanović, Milena and Bartonova, Alena and Lepioufle, Jean-Marie",
year = "2023",
abstract = "Particulate matter (PM) in air has been proven to be hazardous to human health. Here we focused on analysis of PM data we obtained from the same campaign which was presented in our previous study. Multivariate linear and random forest models were used for the calibration and analysis. In our linear regression model the inputs were PM, temperature and humidity measured with low-cost sensors, and the target was the reference PM measurements obtained from SEPA in the same timeframe.",
journal = "Thermal Science",
title = "Low-processing data enrichment and calibration for PM2.5 low-cost sensors",
volume = "27",
number = "3 Part B",
pages = "2229-2240",
doi = "10.2298/TSCI221109221S"
}

Stojanović, D., Kleut, D., Davidović, M., de Vito, S., Jovašević-Stojanović, M., Bartonova, A.,& Lepioufle, J.. (2023). Low-processing data enrichment and calibration for PM2.5 low-cost sensors. in Thermal Science, 27(3 Part B), 2229-2240.
https://doi.org/10.2298/TSCI221109221S

Stojanović D, Kleut D, Davidović M, de Vito S, Jovašević-Stojanović M, Bartonova A, Lepioufle J. Low-processing data enrichment and calibration for PM2.5 low-cost sensors. in Thermal Science. 2023;27(3 Part B):2229-2240.
doi:10.2298/TSCI221109221S .

Stojanović, Danka, Kleut, Duška, Davidović, Miloš, de Vito, Saverio, Jovašević-Stojanović, Milena, Bartonova, Alena, Lepioufle, Jean-Marie, "Low-processing data enrichment and calibration for PM2.5 low-cost sensors" in Thermal Science, 27, no. 3 Part B (2023):2229-2240,
https://doi.org/10.2298/TSCI221109221S . .

TY  - JOUR
AU  - Saraga, Dikaia Ε.
AU  - Querol, Xavier
AU  - Duarte, Regina M.B.O.
AU  - Aquilina, Noel J.
AU  - Canha, Nuno
AU  - Alvarez, Elena Gómez
AU  - Jovašević-Stojanović, Milena
AU  - Bekö, Gabriel
AU  - Byčenkienė, Steigvilė
AU  - Kovačević, Renata
AU  - Plauškaite, Kristina
AU  - Carslaw, Nicola
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11380
AB  - Source apportionment (SA) for indoor air pollution is challenging due to the multiplicity and high variability of indoor sources, the complex physical and chemical processes that act as primary sources, sinks and sources of precursors that lead to secondary formation, and the interconnection with the outdoor environment. While the major indoor sources have been recognized, there is still a need for understanding the contribution of indoor versus outdoor-generated pollutants penetrating indoors, and how SA is influenced by the complex processes that occur in indoor environments. This paper reviews our current understanding of SA, through reviewing information on the SA techniques used, the targeted pollutants that have been studied to date, and their source apportionment, along with limitations or knowledge gaps in this research field. The majority (78 %) of SA studies to date focused on PM chemical composition/size distribution, with fewer studies covering organic compounds such as ketones, carbonyls and aldehydes. Regarding the SA method used, the majority of studies have used Positive Matrix Factorization (31 %), Principal Component Analysis (26 %) and Chemical Mass Balance (7 %) receptor models. The indoor PM sources identified to date include building materials and furniture emissions, indoor combustion-related sources, cooking-related sources, resuspension, cleaning and consumer products emissions, secondary-generated pollutants indoors and other products and activity-related emissions. The outdoor environment contribution to the measured pollutant indoors varies considerably (<10 %- 90 %) among the studies. Future challenges for this research area include the need for optimization of indoor air quality monitoring and data selection as well as the incorporation of physical and chemical processes in indoor air into source apportionment methodology.
T2  - Science of The Total Environment
T1  - Source apportionment for indoor air pollution: Current challenges and future directions
VL  - 900
SP  - 165744
DO  - 10.1016/j.scitotenv.2023.165744
ER  - 

@article{
author = "Saraga, Dikaia Ε. and Querol, Xavier and Duarte, Regina M.B.O. and Aquilina, Noel J. and Canha, Nuno and Alvarez, Elena Gómez and Jovašević-Stojanović, Milena and Bekö, Gabriel and Byčenkienė, Steigvilė and Kovačević, Renata and Plauškaite, Kristina and Carslaw, Nicola",
year = "2023",
abstract = "Source apportionment (SA) for indoor air pollution is challenging due to the multiplicity and high variability of indoor sources, the complex physical and chemical processes that act as primary sources, sinks and sources of precursors that lead to secondary formation, and the interconnection with the outdoor environment. While the major indoor sources have been recognized, there is still a need for understanding the contribution of indoor versus outdoor-generated pollutants penetrating indoors, and how SA is influenced by the complex processes that occur in indoor environments. This paper reviews our current understanding of SA, through reviewing information on the SA techniques used, the targeted pollutants that have been studied to date, and their source apportionment, along with limitations or knowledge gaps in this research field. The majority (78 %) of SA studies to date focused on PM chemical composition/size distribution, with fewer studies covering organic compounds such as ketones, carbonyls and aldehydes. Regarding the SA method used, the majority of studies have used Positive Matrix Factorization (31 %), Principal Component Analysis (26 %) and Chemical Mass Balance (7 %) receptor models. The indoor PM sources identified to date include building materials and furniture emissions, indoor combustion-related sources, cooking-related sources, resuspension, cleaning and consumer products emissions, secondary-generated pollutants indoors and other products and activity-related emissions. The outdoor environment contribution to the measured pollutant indoors varies considerably (<10 %- 90 %) among the studies. Future challenges for this research area include the need for optimization of indoor air quality monitoring and data selection as well as the incorporation of physical and chemical processes in indoor air into source apportionment methodology.",
journal = "Science of The Total Environment",
title = "Source apportionment for indoor air pollution: Current challenges and future directions",
volume = "900",
pages = "165744",
doi = "10.1016/j.scitotenv.2023.165744"
}

Saraga, D. Ε., Querol, X., Duarte, R. M.B.O., Aquilina, N. J., Canha, N., Alvarez, E. G., Jovašević-Stojanović, M., Bekö, G., Byčenkienė, S., Kovačević, R., Plauškaite, K.,& Carslaw, N.. (2023). Source apportionment for indoor air pollution: Current challenges and future directions. in Science of The Total Environment, 900, 165744.
https://doi.org/10.1016/j.scitotenv.2023.165744

Saraga DΕ, Querol X, Duarte RM, Aquilina NJ, Canha N, Alvarez EG, Jovašević-Stojanović M, Bekö G, Byčenkienė S, Kovačević R, Plauškaite K, Carslaw N. Source apportionment for indoor air pollution: Current challenges and future directions. in Science of The Total Environment. 2023;900:165744.
doi:10.1016/j.scitotenv.2023.165744 .

Saraga, Dikaia Ε., Querol, Xavier, Duarte, Regina M.B.O., Aquilina, Noel J., Canha, Nuno, Alvarez, Elena Gómez, Jovašević-Stojanović, Milena, Bekö, Gabriel, Byčenkienė, Steigvilė, Kovačević, Renata, Plauškaite, Kristina, Carslaw, Nicola, "Source apportionment for indoor air pollution: Current challenges and future directions" in Science of The Total Environment, 900 (2023):165744,
https://doi.org/10.1016/j.scitotenv.2023.165744 . .

TY  - JOUR
AU  - Davidović, Miloš D.
AU  - Dmitrašinović, Sonja
AU  - Jovanović, Maja
AU  - Radonić, Jelena
AU  - Jovašević-Stojanović, Milena
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9553
AB  - Changes in air pollution in the region of the city of Novi Sad due to the COVID-19 induced state of emergency were evaluated while using data from permanently operating air quality monitoring stations belonging to the national, regional, and local networks, as well as ad hoc deployed low-cost particulate matter (PM) sensors. The low-cost sensors were collocated with reference gravimetric pumps. The starting idea for this research was to determine if and to what extent a massive change of anthropogenic activities introduced by lockdown could be observed in main air pollutants levels. An analysis of the data showed that fine and coarse particulate matter, as well as SO2 levels, did not change noticeably, compared to the pre-lockdown period. Isolated larger peaks in PM pollution were traced back to the Aralkum Desert episode. The reduced movement of vehicles and reduced industrial and construction activities during the lockdown in Novi Sad led to a reduction and a more uniform profile of the PM2.5 levels during the period between morning and afternoon air pollution peak, approximately during typical working hours. Daily profiles of NO2, NO, and NOX during the state of emergency proved lower levels during most hours of the day, due to restrictions on vehicular movement. CO during the state of the emergency mainly exhibited a lower level during night. Pollutants having transportation-dominated source profiles exhibited a decrease in level, while pollutants with domestic heating source profiles mostly exhibited a constant level. Considering local sources in Novi Sad, slight to moderate air quality improvement was observed after the lockdown as compared with days before. Furthermore, PM low-cost sensors’ usefulness in air quality assessment was confirmed, as they increase spatial resolution, but it is necessary to calibrate them at the deployment location.
T2  - Applied Sciences
T1  - Diurnal, Temporal and Spatial Variations of Main Air Pollutants Before and during Emergency Lockdown in the City of Novi Sad (Serbia)
VL  - 11
IS  - 3
SP  - 1212
DO  - 10.3390/app11031212
ER  - 

@article{
author = "Davidović, Miloš D. and Dmitrašinović, Sonja and Jovanović, Maja and Radonić, Jelena and Jovašević-Stojanović, Milena",
year = "2021",
abstract = "Changes in air pollution in the region of the city of Novi Sad due to the COVID-19 induced state of emergency were evaluated while using data from permanently operating air quality monitoring stations belonging to the national, regional, and local networks, as well as ad hoc deployed low-cost particulate matter (PM) sensors. The low-cost sensors were collocated with reference gravimetric pumps. The starting idea for this research was to determine if and to what extent a massive change of anthropogenic activities introduced by lockdown could be observed in main air pollutants levels. An analysis of the data showed that fine and coarse particulate matter, as well as SO2 levels, did not change noticeably, compared to the pre-lockdown period. Isolated larger peaks in PM pollution were traced back to the Aralkum Desert episode. The reduced movement of vehicles and reduced industrial and construction activities during the lockdown in Novi Sad led to a reduction and a more uniform profile of the PM2.5 levels during the period between morning and afternoon air pollution peak, approximately during typical working hours. Daily profiles of NO2, NO, and NOX during the state of emergency proved lower levels during most hours of the day, due to restrictions on vehicular movement. CO during the state of the emergency mainly exhibited a lower level during night. Pollutants having transportation-dominated source profiles exhibited a decrease in level, while pollutants with domestic heating source profiles mostly exhibited a constant level. Considering local sources in Novi Sad, slight to moderate air quality improvement was observed after the lockdown as compared with days before. Furthermore, PM low-cost sensors’ usefulness in air quality assessment was confirmed, as they increase spatial resolution, but it is necessary to calibrate them at the deployment location.",
journal = "Applied Sciences",
title = "Diurnal, Temporal and Spatial Variations of Main Air Pollutants Before and during Emergency Lockdown in the City of Novi Sad (Serbia)",
volume = "11",
number = "3",
pages = "1212",
doi = "10.3390/app11031212"
}

Davidović, M. D., Dmitrašinović, S., Jovanović, M., Radonić, J.,& Jovašević-Stojanović, M.. (2021). Diurnal, Temporal and Spatial Variations of Main Air Pollutants Before and during Emergency Lockdown in the City of Novi Sad (Serbia). in Applied Sciences, 11(3), 1212.
https://doi.org/10.3390/app11031212

Davidović MD, Dmitrašinović S, Jovanović M, Radonić J, Jovašević-Stojanović M. Diurnal, Temporal and Spatial Variations of Main Air Pollutants Before and during Emergency Lockdown in the City of Novi Sad (Serbia). in Applied Sciences. 2021;11(3):1212.
doi:10.3390/app11031212 .

Davidović, Miloš D., Dmitrašinović, Sonja, Jovanović, Maja, Radonić, Jelena, Jovašević-Stojanović, Milena, "Diurnal, Temporal and Spatial Variations of Main Air Pollutants Before and during Emergency Lockdown in the City of Novi Sad (Serbia)" in Applied Sciences, 11, no. 3 (2021):1212,
https://doi.org/10.3390/app11031212 . .

TY  - JOUR
AU  - Jovanović, Rastko D.
AU  - Davidović, Miloš D.
AU  - Lazović, Ivan
AU  - Jovanović, Maja
AU  - Jovašević-Stojanović, Milena
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9830
AB  - A novel statistical model based on a two-layer, contact and information, graph is suggested in order to study the influence of disease prevalence on voluntary general population vaccination during the COVID-19 outbreak. Details about the structure and number of susceptible, infectious, and recovered/vaccinated individuals from the contact layer are simultaneously transferred to the information layer. The ever-growing wealth of information that is becoming available about the COVID virus was modelled at each individual level by a simplified proxy predictor of the amount of disease spread. Each informed individual, a node in a heterogeneous graph, makes a decision about vaccination “motivated” by their benefit. The obtained results showed that disease information type, global or local, has a significant impact on an individual vaccination decision. A number of different scenarios were investigated. The scenarios showed that in the case of the stronger impact of globally broadcasted disease information, individuals tend to vaccinate in larger numbers at the same time when the infection has already spread within the population. If individuals make vaccination decisions based on locally available information, the vaccination rate is uniformly spread during infection outbreak duration. Prioritising elderly population vaccination leads to an increased number of infected cases and a higher reduction in mortality. The developed model accuracy allows the precise targeting of vaccination order depending on the individuals’ number of social contacts. Precisely targeted vaccination, combined with pre-existing immunity, and public health measures can limit the infection to isolated hotspots inside the population, as well as significantly delay and lower the infection peak.
T2  - International Journal of Environmental Research and Public Health
T2  - International Journal of Environmental Research and Public Health
T1  - Modelling voluntary general population vaccination strategies during covid-19 outbreak: Influence of disease prevalence
VL  - 18
IS  - 12
SP  - 6217
DO  - 10.3390/ijerph18126217
ER  - 

@article{
author = "Jovanović, Rastko D. and Davidović, Miloš D. and Lazović, Ivan and Jovanović, Maja and Jovašević-Stojanović, Milena",
year = "2021",
abstract = "A novel statistical model based on a two-layer, contact and information, graph is suggested in order to study the influence of disease prevalence on voluntary general population vaccination during the COVID-19 outbreak. Details about the structure and number of susceptible, infectious, and recovered/vaccinated individuals from the contact layer are simultaneously transferred to the information layer. The ever-growing wealth of information that is becoming available about the COVID virus was modelled at each individual level by a simplified proxy predictor of the amount of disease spread. Each informed individual, a node in a heterogeneous graph, makes a decision about vaccination “motivated” by their benefit. The obtained results showed that disease information type, global or local, has a significant impact on an individual vaccination decision. A number of different scenarios were investigated. The scenarios showed that in the case of the stronger impact of globally broadcasted disease information, individuals tend to vaccinate in larger numbers at the same time when the infection has already spread within the population. If individuals make vaccination decisions based on locally available information, the vaccination rate is uniformly spread during infection outbreak duration. Prioritising elderly population vaccination leads to an increased number of infected cases and a higher reduction in mortality. The developed model accuracy allows the precise targeting of vaccination order depending on the individuals’ number of social contacts. Precisely targeted vaccination, combined with pre-existing immunity, and public health measures can limit the infection to isolated hotspots inside the population, as well as significantly delay and lower the infection peak.",
journal = "International Journal of Environmental Research and Public Health, International Journal of Environmental Research and Public Health",
title = "Modelling voluntary general population vaccination strategies during covid-19 outbreak: Influence of disease prevalence",
volume = "18",
number = "12",
pages = "6217",
doi = "10.3390/ijerph18126217"
}

Jovanović, R. D., Davidović, M. D., Lazović, I., Jovanović, M.,& Jovašević-Stojanović, M.. (2021). Modelling voluntary general population vaccination strategies during covid-19 outbreak: Influence of disease prevalence. in International Journal of Environmental Research and Public Health, 18(12), 6217.
https://doi.org/10.3390/ijerph18126217

Jovanović RD, Davidović MD, Lazović I, Jovanović M, Jovašević-Stojanović M. Modelling voluntary general population vaccination strategies during covid-19 outbreak: Influence of disease prevalence. in International Journal of Environmental Research and Public Health. 2021;18(12):6217.
doi:10.3390/ijerph18126217 .

Jovanović, Rastko D., Davidović, Miloš D., Lazović, Ivan, Jovanović, Maja, Jovašević-Stojanović, Milena, "Modelling voluntary general population vaccination strategies during covid-19 outbreak: Influence of disease prevalence" in International Journal of Environmental Research and Public Health, 18, no. 12 (2021):6217,
https://doi.org/10.3390/ijerph18126217 . .

TY  - CONF
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10459
AB  - The International Workshop and Conference, Particulate Matter: Research and Management - WeBIOPATR is a biennial event held in Serbia since 2007. The conference addresses air quality in general and particulate matter specifically. Atmospheric particulate matter arises both from primary emissions and from secondary formation in the atmosphere. It is one of the least well understood local and regional air pollutants, has complex implications for climate change, and is perhaps the pollutant with the highest health relevance. It also poses many challenges to monitoring. [from Preface]
PB  - Belgrade : University of Belgrade - Vinča Institute of Nuclear Sciences
T1  - WeBIOPATR 2021 : Abstracts of keynote invited lectures and contributed papers
SP  - 1
EP  - 90
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10459
ER  - 

@conference{
editor = "Jovašević-Stojanović, Milena, Bartonova, Alena, Davidović, Miloš D., Smith, Simon",
year = "2021",
abstract = "The International Workshop and Conference, Particulate Matter: Research and Management - WeBIOPATR is a biennial event held in Serbia since 2007. The conference addresses air quality in general and particulate matter specifically. Atmospheric particulate matter arises both from primary emissions and from secondary formation in the atmosphere. It is one of the least well understood local and regional air pollutants, has complex implications for climate change, and is perhaps the pollutant with the highest health relevance. It also poses many challenges to monitoring. [from Preface]",
publisher = "Belgrade : University of Belgrade - Vinča Institute of Nuclear Sciences",
title = "WeBIOPATR 2021 : Abstracts of keynote invited lectures and contributed papers",
pages = "1-90",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10459"
}

Jovašević-Stojanović, M., Bartonova, A., Davidović, M. D.,& Smith, S.. (2021). WeBIOPATR 2021 : Abstracts of keynote invited lectures and contributed papers. 
Belgrade : University of Belgrade - Vinča Institute of Nuclear Sciences., 1-90.
https://hdl.handle.net/21.15107/rcub_vinar_10459

Jovašević-Stojanović M, Bartonova A, Davidović MD, Smith S. WeBIOPATR 2021 : Abstracts of keynote invited lectures and contributed papers. 2021;:1-90.
https://hdl.handle.net/21.15107/rcub_vinar_10459 .

Jovašević-Stojanović, Milena, Bartonova, Alena, Davidović, Miloš D., Smith, Simon, "WeBIOPATR 2021 : Abstracts of keynote invited lectures and contributed papers" (2021):1-90,
https://hdl.handle.net/21.15107/rcub_vinar_10459 .

TY  - CONF
AU  - Davidović, Miloš D.
AU  - Dmitrašinović, S.
AU  - Radonić, J.
AU  - Jovašević-Stojanović, Milena
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10989
PB  - Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences
C3  - WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
T1  - Planning and Conducting Mobile Aerosol Monitoring Campaign: Experiences from Belgrade and Novi Sad
SP  - 43
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10989
ER  - 

@conference{
author = "Davidović, Miloš D. and Dmitrašinović, S. and Radonić, J. and Jovašević-Stojanović, Milena",
year = "2021",
publisher = "Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences",
journal = "WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia",
title = "Planning and Conducting Mobile Aerosol Monitoring Campaign: Experiences from Belgrade and Novi Sad",
pages = "43",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10989"
}

Davidović, M. D., Dmitrašinović, S., Radonić, J.,& Jovašević-Stojanović, M.. (2021). Planning and Conducting Mobile Aerosol Monitoring Campaign: Experiences from Belgrade and Novi Sad. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences., 43.
https://hdl.handle.net/21.15107/rcub_vinar_10989

Davidović MD, Dmitrašinović S, Radonić J, Jovašević-Stojanović M. Planning and Conducting Mobile Aerosol Monitoring Campaign: Experiences from Belgrade and Novi Sad. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia. 2021;:43.
https://hdl.handle.net/21.15107/rcub_vinar_10989 .

Davidović, Miloš D., Dmitrašinović, S., Radonić, J., Jovašević-Stojanović, Milena, "Planning and Conducting Mobile Aerosol Monitoring Campaign: Experiences from Belgrade and Novi Sad" in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia (2021):43,
https://hdl.handle.net/21.15107/rcub_vinar_10989 .

TY  - CONF
AU  - Jovašević-Stojanović, Milena
AU  - Bartonova, A.
AU  - Davidović, Miloš D.
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10990
PB  - Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences
C3  - WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
T1  - An Overview of Monitoring and Research of Atmospheric Particulate Matter in Serbia in the Past Half Decade
SP  - 49
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10990
ER  - 

@conference{
author = "Jovašević-Stojanović, Milena and Bartonova, A. and Davidović, Miloš D.",
year = "2021",
publisher = "Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences",
journal = "WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia",
title = "An Overview of Monitoring and Research of Atmospheric Particulate Matter in Serbia in the Past Half Decade",
pages = "49",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10990"
}

Jovašević-Stojanović, M., Bartonova, A.,& Davidović, M. D.. (2021). An Overview of Monitoring and Research of Atmospheric Particulate Matter in Serbia in the Past Half Decade. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences., 49.
https://hdl.handle.net/21.15107/rcub_vinar_10990

Jovašević-Stojanović M, Bartonova A, Davidović MD. An Overview of Monitoring and Research of Atmospheric Particulate Matter in Serbia in the Past Half Decade. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia. 2021;:49.
https://hdl.handle.net/21.15107/rcub_vinar_10990 .

Jovašević-Stojanović, Milena, Bartonova, A., Davidović, Miloš D., "An Overview of Monitoring and Research of Atmospheric Particulate Matter in Serbia in the Past Half Decade" in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia (2021):49,
https://hdl.handle.net/21.15107/rcub_vinar_10990 .

TY  - CONF
AU  - Dmitrašinović, S.
AU  - Jovašević-Stojanović, Milena
AU  - Radonić, J.
AU  - Davidović, Miloš D.
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10992
PB  - Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences
C3  - WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
T1  - Comparative Statistical Analysis of Particulate Matter Pollution and Traffic Intensity on a Selected Location in the City of Novi Sad
SP  - 55
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10992
ER  - 

@conference{
author = "Dmitrašinović, S. and Jovašević-Stojanović, Milena and Radonić, J. and Davidović, Miloš D.",
year = "2021",
publisher = "Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences",
journal = "WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia",
title = "Comparative Statistical Analysis of Particulate Matter Pollution and Traffic Intensity on a Selected Location in the City of Novi Sad",
pages = "55",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10992"
}

Dmitrašinović, S., Jovašević-Stojanović, M., Radonić, J.,& Davidović, M. D.. (2021). Comparative Statistical Analysis of Particulate Matter Pollution and Traffic Intensity on a Selected Location in the City of Novi Sad. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences., 55.
https://hdl.handle.net/21.15107/rcub_vinar_10992

Dmitrašinović S, Jovašević-Stojanović M, Radonić J, Davidović MD. Comparative Statistical Analysis of Particulate Matter Pollution and Traffic Intensity on a Selected Location in the City of Novi Sad. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia. 2021;:55.
https://hdl.handle.net/21.15107/rcub_vinar_10992 .

Dmitrašinović, S., Jovašević-Stojanović, Milena, Radonić, J., Davidović, Miloš D., "Comparative Statistical Analysis of Particulate Matter Pollution and Traffic Intensity on a Selected Location in the City of Novi Sad" in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia (2021):55,
https://hdl.handle.net/21.15107/rcub_vinar_10992 .

TY  - CONF
AU  - Jovanović, Rastko
AU  - Davidović, Miloš D.
AU  - Massera, Ettore
AU  - Ristovski, Zoran
AU  - Jovašević-Stojanović, Milena
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10995
PB  - Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences
C3  - WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
T1  - Modeling Controlled Aerosol Atmosphere by Utilizing Physics Based Modeling: Experience from Using Computational Fluid Dynamics Approach
SP  - 74
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10995
ER  - 

@conference{
author = "Jovanović, Rastko and Davidović, Miloš D. and Massera, Ettore and Ristovski, Zoran and Jovašević-Stojanović, Milena",
year = "2021",
publisher = "Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences",
journal = "WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia",
title = "Modeling Controlled Aerosol Atmosphere by Utilizing Physics Based Modeling: Experience from Using Computational Fluid Dynamics Approach",
pages = "74",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10995"
}

Jovanović, R., Davidović, M. D., Massera, E., Ristovski, Z.,& Jovašević-Stojanović, M.. (2021). Modeling Controlled Aerosol Atmosphere by Utilizing Physics Based Modeling: Experience from Using Computational Fluid Dynamics Approach. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences., 74.
https://hdl.handle.net/21.15107/rcub_vinar_10995

Jovanović R, Davidović MD, Massera E, Ristovski Z, Jovašević-Stojanović M. Modeling Controlled Aerosol Atmosphere by Utilizing Physics Based Modeling: Experience from Using Computational Fluid Dynamics Approach. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia. 2021;:74.
https://hdl.handle.net/21.15107/rcub_vinar_10995 .

Jovanović, Rastko, Davidović, Miloš D., Massera, Ettore, Ristovski, Zoran, Jovašević-Stojanović, Milena, "Modeling Controlled Aerosol Atmosphere by Utilizing Physics Based Modeling: Experience from Using Computational Fluid Dynamics Approach" in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia (2021):74,
https://hdl.handle.net/21.15107/rcub_vinar_10995 .

TY  - CONF
AU  - Živković, Marija M.
AU  - Jovašević-Stojanović, Milena
AU  - Cvetković, A.
AU  - Lazović, Ivan
AU  - Davidović, Miloš D.
AU  - Gržetić, I.
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10999
PB  - Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences
C3  - WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
T1  - Characterisation of Fine Particulate Matter Level, Content and Sources of a Kindergarden Microenvironment in Belgrade City Center
SP  - 81
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10999
ER  - 

@conference{
author = "Živković, Marija M. and Jovašević-Stojanović, Milena and Cvetković, A. and Lazović, Ivan and Davidović, Miloš D. and Gržetić, I.",
year = "2021",
publisher = "Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences",
journal = "WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia",
title = "Characterisation of Fine Particulate Matter Level, Content and Sources of a Kindergarden Microenvironment in Belgrade City Center",
pages = "81",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10999"
}

Živković, M. M., Jovašević-Stojanović, M., Cvetković, A., Lazović, I., Davidović, M. D.,& Gržetić, I.. (2021). Characterisation of Fine Particulate Matter Level, Content and Sources of a Kindergarden Microenvironment in Belgrade City Center. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences., 81.
https://hdl.handle.net/21.15107/rcub_vinar_10999

Živković MM, Jovašević-Stojanović M, Cvetković A, Lazović I, Davidović MD, Gržetić I. Characterisation of Fine Particulate Matter Level, Content and Sources of a Kindergarden Microenvironment in Belgrade City Center. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia. 2021;:81.
https://hdl.handle.net/21.15107/rcub_vinar_10999 .

Živković, Marija M., Jovašević-Stojanović, Milena, Cvetković, A., Lazović, Ivan, Davidović, Miloš D., Gržetić, I., "Characterisation of Fine Particulate Matter Level, Content and Sources of a Kindergarden Microenvironment in Belgrade City Center" in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia (2021):81,
https://hdl.handle.net/21.15107/rcub_vinar_10999 .

TY  - CONF
AU  - Gagić-Lazarević, R.
AU  - Jovašević-Stojanović, Milena
AU  - Nikolić, D.
AU  - Davidović, Miloš D.
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11002
PB  - Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences
C3  - WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
T1  - Preliminary Results from PM Mobile Monitoring Pilot Campaign in Boka Kotorska Bay: PM Levels and Observed Modes in Onshore  and Offshore Area
SP  - 84
UR  - https://hdl.handle.net/21.15107/rcub_vinar_11002
ER  - 

@conference{
author = "Gagić-Lazarević, R. and Jovašević-Stojanović, Milena and Nikolić, D. and Davidović, Miloš D.",
year = "2021",
publisher = "Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences",
journal = "WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia",
title = "Preliminary Results from PM Mobile Monitoring Pilot Campaign in Boka Kotorska Bay: PM Levels and Observed Modes in Onshore  and Offshore Area",
pages = "84",
url = "https://hdl.handle.net/21.15107/rcub_vinar_11002"
}

Gagić-Lazarević, R., Jovašević-Stojanović, M., Nikolić, D.,& Davidović, M. D.. (2021). Preliminary Results from PM Mobile Monitoring Pilot Campaign in Boka Kotorska Bay: PM Levels and Observed Modes in Onshore  and Offshore Area. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences., 84.
https://hdl.handle.net/21.15107/rcub_vinar_11002

Gagić-Lazarević R, Jovašević-Stojanović M, Nikolić D, Davidović MD. Preliminary Results from PM Mobile Monitoring Pilot Campaign in Boka Kotorska Bay: PM Levels and Observed Modes in Onshore  and Offshore Area. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia. 2021;:84.
https://hdl.handle.net/21.15107/rcub_vinar_11002 .

Gagić-Lazarević, R., Jovašević-Stojanović, Milena, Nikolić, D., Davidović, Miloš D., "Preliminary Results from PM Mobile Monitoring Pilot Campaign in Boka Kotorska Bay: PM Levels and Observed Modes in Onshore  and Offshore Area" in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia (2021):84,
https://hdl.handle.net/21.15107/rcub_vinar_11002 .

TY  - CONF
AU  - Stevanović, Svetlana
AU  - Jovanović, Maja
AU  - Jovašević-Stojanović, Milena
AU  - Ristovski, Zoran
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10991
PB  - Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences
C3  - WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
T1  - Source Apportionment of Oxidative Potential – What We Know So Far
SP  - 53
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10991
ER  - 

@conference{
author = "Stevanović, Svetlana and Jovanović, Maja and Jovašević-Stojanović, Milena and Ristovski, Zoran",
year = "2021",
publisher = "Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences",
journal = "WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia",
title = "Source Apportionment of Oxidative Potential – What We Know So Far",
pages = "53",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10991"
}

Stevanović, S., Jovanović, M., Jovašević-Stojanović, M.,& Ristovski, Z.. (2021). Source Apportionment of Oxidative Potential – What We Know So Far. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia
Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences., 53.
https://hdl.handle.net/21.15107/rcub_vinar_10991

Stevanović S, Jovanović M, Jovašević-Stojanović M, Ristovski Z. Source Apportionment of Oxidative Potential – What We Know So Far. in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia. 2021;:53.
https://hdl.handle.net/21.15107/rcub_vinar_10991 .

Stevanović, Svetlana, Jovanović, Maja, Jovašević-Stojanović, Milena, Ristovski, Zoran, "Source Apportionment of Oxidative Potential – What We Know So Far" in WeBIOPATR 2021 : 8th WeBIOPATR Workshop & Conference: Particulate Matter: Research and Management : Abstracts of Keynote Invited Lectures and Contributed Papers; November 29 - December 1, 2021; Belgrade, Serbia (2021):53,
https://hdl.handle.net/21.15107/rcub_vinar_10991 .

TY  - JOUR
AU  - Jovanović, Maja
AU  - Savić, Jasmina
AU  - Kovačević, Renata
AU  - Tasić, Viša
AU  - Todorović, Žaklina
AU  - Stevanović, Svetlana
AU  - Manojlović, Dragan D.
AU  - Jovašević-Stojanović, Milena
PY  - 2020
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/3820
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8750
AB  - Urban airborne particles contain a wide spectrum of components, known to have harmful effects on human health. This study reports a detailed investigation of fine particulate matter (PM2.5), chemical content and oxidative potential derived from two different urban environments. During summer and winter, 20-day campaigns were conducted at Belgrade city center (urban-background site – UB) and Bor (urban-industrial site – UI). Using various analytical techniques, carbonaceous compounds, water-soluble inorganic ions, major and trace elements were determined, while the oxidative potential of PM2.5 was estimated by dichloro-dihydro-fluorescein diacetate (DCFH-DA) assay (OPDCFH values). The mean PM2.5 concentrations in both urban environments were above the recommended daily value, and the dominant PM2.5 mass contributor was organic matter (29–55%). The OC/EC ratio was significantly higher at UB site during winter, which was an indication of a considerable contribution of secondary organic carbon to the overall organic carbon (OC). Water-soluble organic carbon (WSOC) was also higher at UB than at UI site, and it probably came from the same sources as OC. In general, the different partition of secondary organic aerosol (SOA) in warm and cold periods affected the number of organic components. Sulfates and nitrates were the most abundant ions at both sites and they counted approximately 40% (summer) and 50% (winter) of total ions. Further, the concentrations of the most elements, particularly some potentially carcinogenic elements such as As, Cd and Pb were significantly higher at UI, due to the emissions from the copper smelter complex in the vicinity. The mean OPDCFH values were similar during the summer at both sampling sites, whereas a statistically significant difference between sites was noticed in favor of UB environment in winter.
T2  - Science of the Total Environment
T1  - Comparison of fine particulate matter level, chemical content and oxidative potential derived from two dissimilar urban environments
VL  - 708
SP  - 135209
DO  - 10.1016/j.scitotenv.2019.135209
ER  - 

@article{
author = "Jovanović, Maja and Savić, Jasmina and Kovačević, Renata and Tasić, Viša and Todorović, Žaklina and Stevanović, Svetlana and Manojlović, Dragan D. and Jovašević-Stojanović, Milena",
year = "2020",
abstract = "Urban airborne particles contain a wide spectrum of components, known to have harmful effects on human health. This study reports a detailed investigation of fine particulate matter (PM2.5), chemical content and oxidative potential derived from two different urban environments. During summer and winter, 20-day campaigns were conducted at Belgrade city center (urban-background site – UB) and Bor (urban-industrial site – UI). Using various analytical techniques, carbonaceous compounds, water-soluble inorganic ions, major and trace elements were determined, while the oxidative potential of PM2.5 was estimated by dichloro-dihydro-fluorescein diacetate (DCFH-DA) assay (OPDCFH values). The mean PM2.5 concentrations in both urban environments were above the recommended daily value, and the dominant PM2.5 mass contributor was organic matter (29–55%). The OC/EC ratio was significantly higher at UB site during winter, which was an indication of a considerable contribution of secondary organic carbon to the overall organic carbon (OC). Water-soluble organic carbon (WSOC) was also higher at UB than at UI site, and it probably came from the same sources as OC. In general, the different partition of secondary organic aerosol (SOA) in warm and cold periods affected the number of organic components. Sulfates and nitrates were the most abundant ions at both sites and they counted approximately 40% (summer) and 50% (winter) of total ions. Further, the concentrations of the most elements, particularly some potentially carcinogenic elements such as As, Cd and Pb were significantly higher at UI, due to the emissions from the copper smelter complex in the vicinity. The mean OPDCFH values were similar during the summer at both sampling sites, whereas a statistically significant difference between sites was noticed in favor of UB environment in winter.",
journal = "Science of the Total Environment",
title = "Comparison of fine particulate matter level, chemical content and oxidative potential derived from two dissimilar urban environments",
volume = "708",
pages = "135209",
doi = "10.1016/j.scitotenv.2019.135209"
}

Jovanović, M., Savić, J., Kovačević, R., Tasić, V., Todorović, Ž., Stevanović, S., Manojlović, D. D.,& Jovašević-Stojanović, M.. (2020). Comparison of fine particulate matter level, chemical content and oxidative potential derived from two dissimilar urban environments. in Science of the Total Environment, 708, 135209.
https://doi.org/10.1016/j.scitotenv.2019.135209

Jovanović M, Savić J, Kovačević R, Tasić V, Todorović Ž, Stevanović S, Manojlović DD, Jovašević-Stojanović M. Comparison of fine particulate matter level, chemical content and oxidative potential derived from two dissimilar urban environments. in Science of the Total Environment. 2020;708:135209.
doi:10.1016/j.scitotenv.2019.135209 .

Jovanović, Maja, Savić, Jasmina, Kovačević, Renata, Tasić, Viša, Todorović, Žaklina, Stevanović, Svetlana, Manojlović, Dragan D., Jovašević-Stojanović, Milena, "Comparison of fine particulate matter level, chemical content and oxidative potential derived from two dissimilar urban environments" in Science of the Total Environment, 708 (2020):135209,
https://doi.org/10.1016/j.scitotenv.2019.135209 . .

TY  - JOUR
AU  - Davidović, M.
AU  - Davidović, M.
AU  - Jovanović, Rastko D.
AU  - Kolarž, Predrag M.
AU  - Jovašević-Stojanović, Milena
AU  - Ristovski, Zoran
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9621
AB  - In this work we explore the relationship between particulate matter (PM) and small ion (SI) concentration in a typical indoor elementary school environment. A range of important air quality parameters (radon, PM, SI, temperature, humidity) were measured in two elementary schools located in urban background and suburban area in Belgrade city, Serbia. We focus on an interplay between concentrations of radon, small ions (SI) and particulate matter (PM) and for this purpose, we utilize two approaches. The first approach is based on a balance equation which is used to derive approximate relation between concentration of small ions and particulate matter. The form of the obtained relation suggests physics based linear regression modelling. The second approach is more data driven and utilizes machine learning techniques, and in this approach, we develop a more complex statistical model. This paper attempts to put together these two methods into a practical statistical modelling approach that would be more useful than either approach alone. The artificial neural network model enabled prediction of small ion concentration based on radon and particulate matter measurements. Models achieved median absolute error of about 40 ions/cm3 and explained variance of about 0.7. This could potentially enable more simple measurement campaigns, where a smaller number of parameters would be measured, but still allowing for similar insights. © 2020 by the authors.
T2  - Applied Sciences
T1  - Modeling indoor particulate matter and small ion concentration relationship-A comparison of a balance equation approach and data driven approach
VL  - 10
IS  - 17
DO  - 10.3390/app10175939
ER  - 

@article{
author = "Davidović, M. and Davidović, M. and Jovanović, Rastko D. and Kolarž, Predrag M. and Jovašević-Stojanović, Milena and Ristovski, Zoran",
year = "2020",
abstract = "In this work we explore the relationship between particulate matter (PM) and small ion (SI) concentration in a typical indoor elementary school environment. A range of important air quality parameters (radon, PM, SI, temperature, humidity) were measured in two elementary schools located in urban background and suburban area in Belgrade city, Serbia. We focus on an interplay between concentrations of radon, small ions (SI) and particulate matter (PM) and for this purpose, we utilize two approaches. The first approach is based on a balance equation which is used to derive approximate relation between concentration of small ions and particulate matter. The form of the obtained relation suggests physics based linear regression modelling. The second approach is more data driven and utilizes machine learning techniques, and in this approach, we develop a more complex statistical model. This paper attempts to put together these two methods into a practical statistical modelling approach that would be more useful than either approach alone. The artificial neural network model enabled prediction of small ion concentration based on radon and particulate matter measurements. Models achieved median absolute error of about 40 ions/cm3 and explained variance of about 0.7. This could potentially enable more simple measurement campaigns, where a smaller number of parameters would be measured, but still allowing for similar insights. © 2020 by the authors.",
journal = "Applied Sciences",
title = "Modeling indoor particulate matter and small ion concentration relationship-A comparison of a balance equation approach and data driven approach",
volume = "10",
number = "17",
doi = "10.3390/app10175939"
}

Davidović, M., Davidović, M., Jovanović, R. D., Kolarž, P. M., Jovašević-Stojanović, M.,& Ristovski, Z.. (2020). Modeling indoor particulate matter and small ion concentration relationship-A comparison of a balance equation approach and data driven approach. in Applied Sciences, 10(17).
https://doi.org/10.3390/app10175939

Davidović M, Davidović M, Jovanović RD, Kolarž PM, Jovašević-Stojanović M, Ristovski Z. Modeling indoor particulate matter and small ion concentration relationship-A comparison of a balance equation approach and data driven approach. in Applied Sciences. 2020;10(17).
doi:10.3390/app10175939 .

Davidović, M., Davidović, M., Jovanović, Rastko D., Kolarž, Predrag M., Jovašević-Stojanović, Milena, Ristovski, Zoran, "Modeling indoor particulate matter and small ion concentration relationship-A comparison of a balance equation approach and data driven approach" in Applied Sciences, 10, no. 17 (2020),
https://doi.org/10.3390/app10175939 . .

TY  - JOUR
AU  - Baloch, Ramen Munir
AU  - Maesano, Cara Nichole
AU  - Christoffersen, Jens
AU  - Banerjee, Soutrik
AU  - Draganic, Jasna
AU  - Mogyorosy, Eszter Réka
AU  - Korać, Zorica
AU  - Jovašević-Stojanović, Milena
AU  - Živković, Marija M.
AU  - Stevanović, Žarko
AU  - Lazović, Ivan
AU  - Stevanović, Žana
AU  - Živković, Zorica
AU  - Cerović, Sofija
AU  - Jocić-Stojanović, Jasmina
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11620
AB  - Substantial knowledge is available on the association of the indoor school environment and its effect among schoolchildren. In the same context, the SINPHONIE (School indoor pollution and health: Observatory network in Europe) conducted a study to collect data and determine the distribution of several indoor air pollutants (IAPs), physical and thermal parameters and their association with eye, skin, upper-, lower respiratory and systemic disorder symptoms during the previous three months. Finally, data from 115 schools in 54 European cities from 23 countries were collected and included 5175 schoolchildren using a harmonized and standardized protocol. The association between exposures and the health outcomes were examined using logistic regression models on the environmental stressors assessed in classroom while adjusting for several confounding factors; a VOC (volatile organic compound) score defined as the sum of the number of pollutants to which the children were highly exposed (concentration > median of the distribution) in classroom was also introduced to evaluate the mul tiexposu re - outcome association. Schoolchildren while adjusting for several confounding factors. Schoolchildren exposed to above or equal median concentration of PM2.5, benzene, limonene, ozone and radon were at significantly higher odds of suffering from upper, lower airways, eye and systemic disorders. Increased odds were also observed for any symptom (sick school syndrome) among schoolchildren exposed to concentrations of limonene and ozone above median values. Furthermore, the risks for upper and lower airways and systemic disorders significantly increased with the VOCs score. Results also showed that increased ventilation rate was significantly associated with decreased odds of suffering from eye and skin disorders whereas similar association was observed between temperature and upper airways symptoms. The present study provides evidence that exposure to IAPs in schools is associated with various health problems in children. Further investigations are needed to confirm our findings.
T2  - Science of The Total Environment
T1  - Indoor air pollution, physical and comfort parameters related to schoolchildren's health: Data from the European SINPHONIE study
VL  - 739
SP  - 139870
DO  - 10.1016/j.scitotenv.2020.139870
ER  - 

@article{
author = "Baloch, Ramen Munir and Maesano, Cara Nichole and Christoffersen, Jens and Banerjee, Soutrik and Draganic, Jasna and Mogyorosy, Eszter Réka and Korać, Zorica and Jovašević-Stojanović, Milena and Živković, Marija M. and Stevanović, Žarko and Lazović, Ivan and Stevanović, Žana and Živković, Zorica and Cerović, Sofija and Jocić-Stojanović, Jasmina",
year = "2020",
abstract = "Substantial knowledge is available on the association of the indoor school environment and its effect among schoolchildren. In the same context, the SINPHONIE (School indoor pollution and health: Observatory network in Europe) conducted a study to collect data and determine the distribution of several indoor air pollutants (IAPs), physical and thermal parameters and their association with eye, skin, upper-, lower respiratory and systemic disorder symptoms during the previous three months. Finally, data from 115 schools in 54 European cities from 23 countries were collected and included 5175 schoolchildren using a harmonized and standardized protocol. The association between exposures and the health outcomes were examined using logistic regression models on the environmental stressors assessed in classroom while adjusting for several confounding factors; a VOC (volatile organic compound) score defined as the sum of the number of pollutants to which the children were highly exposed (concentration > median of the distribution) in classroom was also introduced to evaluate the mul tiexposu re - outcome association. Schoolchildren while adjusting for several confounding factors. Schoolchildren exposed to above or equal median concentration of PM2.5, benzene, limonene, ozone and radon were at significantly higher odds of suffering from upper, lower airways, eye and systemic disorders. Increased odds were also observed for any symptom (sick school syndrome) among schoolchildren exposed to concentrations of limonene and ozone above median values. Furthermore, the risks for upper and lower airways and systemic disorders significantly increased with the VOCs score. Results also showed that increased ventilation rate was significantly associated with decreased odds of suffering from eye and skin disorders whereas similar association was observed between temperature and upper airways symptoms. The present study provides evidence that exposure to IAPs in schools is associated with various health problems in children. Further investigations are needed to confirm our findings.",
journal = "Science of The Total Environment",
title = "Indoor air pollution, physical and comfort parameters related to schoolchildren's health: Data from the European SINPHONIE study",
volume = "739",
pages = "139870",
doi = "10.1016/j.scitotenv.2020.139870"
}

Baloch, R. M., Maesano, C. N., Christoffersen, J., Banerjee, S., Draganic, J., Mogyorosy, E. R., Korać, Z., Jovašević-Stojanović, M., Živković, M. M., Stevanović, Ž., Lazović, I., Stevanović, Ž., Živković, Z., Cerović, S.,& Jocić-Stojanović, J.. (2020). Indoor air pollution, physical and comfort parameters related to schoolchildren's health: Data from the European SINPHONIE study. in Science of The Total Environment, 739, 139870.
https://doi.org/10.1016/j.scitotenv.2020.139870

Baloch RM, Maesano CN, Christoffersen J, Banerjee S, Draganic J, Mogyorosy ER, Korać Z, Jovašević-Stojanović M, Živković MM, Stevanović Ž, Lazović I, Stevanović Ž, Živković Z, Cerović S, Jocić-Stojanović J. Indoor air pollution, physical and comfort parameters related to schoolchildren's health: Data from the European SINPHONIE study. in Science of The Total Environment. 2020;739:139870.
doi:10.1016/j.scitotenv.2020.139870 .

Baloch, Ramen Munir, Maesano, Cara Nichole, Christoffersen, Jens, Banerjee, Soutrik, Draganic, Jasna, Mogyorosy, Eszter Réka, Korać, Zorica, Jovašević-Stojanović, Milena, Živković, Marija M., Stevanović, Žarko, Lazović, Ivan, Stevanović, Žana, Živković, Zorica, Cerović, Sofija, Jocić-Stojanović, Jasmina, "Indoor air pollution, physical and comfort parameters related to schoolchildren's health: Data from the European SINPHONIE study" in Science of The Total Environment, 739 (2020):139870,
https://doi.org/10.1016/j.scitotenv.2020.139870 . .

TY  - JOUR
AU  - Topalović, Dušan
AU  - Davidović, Miloš D.
AU  - Jovanović, Maja
AU  - Bartonova, Alena
AU  - Ristovski, Zoran
AU  - Jovašević-Stojanović, Milena
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8372
AB  - The current compliance networks of automatic air-quality monitoring stations in large urban environments are not sufficient to provide spatial and temporal measurement resolution for realistic assessment of personal exposure to pollutants. Small low-cost sensor platforms with greater mobility and expected lower maintenance costs, are increasingly being used as a supplement to compliance monitoring stations. However, low-cost sensor platforms usually provide data with uncertain precision. To improve the precision, these sensor platforms require in-field calibration. Our paper aims to demonstrate that data from each individual sensor system can be corrected using that sensor system's own data to achieve much improved data quality compared to a reference. However, in this procedure, there are practical difficulties such as individual sensor outputs from the multi-sensor system not being sufficiently available due to malfunctions for instance. We explore how this can be dealt with. In our opinion, this is a novel approach, of practical importance both to users and manufacturers. We present a detailed comparative analysis of Linear Regression (univariate), Multivariate Linear Regression and Artificial Neural Networks used with a specific aim of calibrating field-deployed low-cost CO and O3 sensors. For Artificial Neural Network models, the performance of three common training algorithms was compared (Levenberg-Marquardt, Resilient back-propagation and Conjugate Gradient Powell-Beale algorithm). Data for this study were obtained from two campaigns conducted with 25 multi-sensor AQMESH v.3.5 platforms used within the activities of the CITI-SENSE project. The platforms were co-located to reference gas monitors at the Automatic Monitoring Station Stari Grad, in Belgrade, Serbia. This paper demonstrates that Multivariate Linear Regression and Artificial Neural Network calibration models can improve the output signal. This improvement can be measured by changes in the median and interquartile ranges of statistical parameters used for model evaluation. Artificial Neural Networks showed the best results compared to Linear Regression and Multivariate Linear Regression models. The best predictors for CO, in addition to CO low-cost sensor data, were PM2.5 and NO2, while for O3, in addition to O3 low-cost sensor data, the most suitable input predictors were NO and aH. Based on residual error analysis, we have shown that for CO and O3, a certain range of concentrations exists in which calibrated values differ by less than 10% from the reference method results. In addition, it was noted that for all models, CO sensors consistently showed lower variability between platforms compared to O3 sensors. © 2019 Elsevier Ltd
T2  - Atmospheric Environment
T1  - In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network approaches
VL  - 213
SP  - 640
EP  - 658
DO  - 10.1016/j.atmosenv.2019.06.028
ER  - 

@article{
author = "Topalović, Dušan and Davidović, Miloš D. and Jovanović, Maja and Bartonova, Alena and Ristovski, Zoran and Jovašević-Stojanović, Milena",
year = "2019",
abstract = "The current compliance networks of automatic air-quality monitoring stations in large urban environments are not sufficient to provide spatial and temporal measurement resolution for realistic assessment of personal exposure to pollutants. Small low-cost sensor platforms with greater mobility and expected lower maintenance costs, are increasingly being used as a supplement to compliance monitoring stations. However, low-cost sensor platforms usually provide data with uncertain precision. To improve the precision, these sensor platforms require in-field calibration. Our paper aims to demonstrate that data from each individual sensor system can be corrected using that sensor system's own data to achieve much improved data quality compared to a reference. However, in this procedure, there are practical difficulties such as individual sensor outputs from the multi-sensor system not being sufficiently available due to malfunctions for instance. We explore how this can be dealt with. In our opinion, this is a novel approach, of practical importance both to users and manufacturers. We present a detailed comparative analysis of Linear Regression (univariate), Multivariate Linear Regression and Artificial Neural Networks used with a specific aim of calibrating field-deployed low-cost CO and O3 sensors. For Artificial Neural Network models, the performance of three common training algorithms was compared (Levenberg-Marquardt, Resilient back-propagation and Conjugate Gradient Powell-Beale algorithm). Data for this study were obtained from two campaigns conducted with 25 multi-sensor AQMESH v.3.5 platforms used within the activities of the CITI-SENSE project. The platforms were co-located to reference gas monitors at the Automatic Monitoring Station Stari Grad, in Belgrade, Serbia. This paper demonstrates that Multivariate Linear Regression and Artificial Neural Network calibration models can improve the output signal. This improvement can be measured by changes in the median and interquartile ranges of statistical parameters used for model evaluation. Artificial Neural Networks showed the best results compared to Linear Regression and Multivariate Linear Regression models. The best predictors for CO, in addition to CO low-cost sensor data, were PM2.5 and NO2, while for O3, in addition to O3 low-cost sensor data, the most suitable input predictors were NO and aH. Based on residual error analysis, we have shown that for CO and O3, a certain range of concentrations exists in which calibrated values differ by less than 10% from the reference method results. In addition, it was noted that for all models, CO sensors consistently showed lower variability between platforms compared to O3 sensors. © 2019 Elsevier Ltd",
journal = "Atmospheric Environment",
title = "In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network approaches",
volume = "213",
pages = "640-658",
doi = "10.1016/j.atmosenv.2019.06.028"
}

Topalović, D., Davidović, M. D., Jovanović, M., Bartonova, A., Ristovski, Z.,& Jovašević-Stojanović, M.. (2019). In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network approaches. in Atmospheric Environment, 213, 640-658.
https://doi.org/10.1016/j.atmosenv.2019.06.028

Topalović D, Davidović MD, Jovanović M, Bartonova A, Ristovski Z, Jovašević-Stojanović M. In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network approaches. in Atmospheric Environment. 2019;213:640-658.
doi:10.1016/j.atmosenv.2019.06.028 .

Topalović, Dušan, Davidović, Miloš D., Jovanović, Maja, Bartonova, Alena, Ristovski, Zoran, Jovašević-Stojanović, Milena, "In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network approaches" in Atmospheric Environment, 213 (2019):640-658,
https://doi.org/10.1016/j.atmosenv.2019.06.028 . .

TY  - JOUR
AU  - Jovanović, Maja
AU  - Savić, Jasmina
AU  - Salimi, Farhad
AU  - Stevanović, Svetlana
AU  - Brown, Reece A.
AU  - Jovašević-Stojanović, Milena
AU  - Manojlovic, Dragan
AU  - Bartonova, Alena
AU  - Bottle, Steven
AU  - Ristovski, Zoran
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/8677
AB  - To estimate the oxidative potential (OP) of particulate matter (PM), two commonly used cell-free, molecular probes were applied: dithiothreitol (DTT) and dichloro-dihydro-fluorescein diacetate (DCFH-DA), and their performance was compared with 9,10-bis (phenylethynyl) anthracene-nitroxide (BPEAnit). To the best of our knowledge, this is the first study in which the performance of the DTT and DCFH has been compared with the BPEAnit probe. The average concentrations of PM, organic carbon (OC) and elemental carbon (EC) for fine (PM2.5) and coarse (PM10) particles were determined. The results were 44.8 ± 13.7, 9.8 ± 5.1 and 9.3 ± 4.8 µg·m−3 for PM2.5 and 75.5 ± 25.1, 16.3 ± 8.7 and 11.8 ± 5.3 µg·m−3 for PM10, respectively, for PM, OC and EC. The water-soluble organic carbon (WSOC) fraction accounted for 42 ± 14% and 28 ± 9% of organic carbon in PM2.5 and PM10, respectively. The average volume normalized OP values for the three assays depended on both the sampling periods and the PM fractions. The OPBPEAnit had its peak at 2 p.m.; in the afternoon, it was three times higher compared to the morning and late afternoon values. The DCFH and BPEAnit results were correlated (r = 0.64), while there was no good agreement between the BPEAnit and the DTT (r = 0.14). The total organic content of PM does not necessarily represent oxidative capacity and it shows varying correlation with the OP. With respect to the two PM fractions studied, the OP was mostly associated with smaller particles.
T2  - International Journal of Environmental Research and Public Health
T1  - Measurements of Oxidative Potential of Particulate Matter at Belgrade Tunnel; Comparison of BPEAnit, DTT and DCFH Assays
VL  - 16
IS  - 24
SP  - 4906
DO  - 10.3390/ijerph16244906
ER  - 

@article{
author = "Jovanović, Maja and Savić, Jasmina and Salimi, Farhad and Stevanović, Svetlana and Brown, Reece A. and Jovašević-Stojanović, Milena and Manojlovic, Dragan and Bartonova, Alena and Bottle, Steven and Ristovski, Zoran",
year = "2019",
abstract = "To estimate the oxidative potential (OP) of particulate matter (PM), two commonly used cell-free, molecular probes were applied: dithiothreitol (DTT) and dichloro-dihydro-fluorescein diacetate (DCFH-DA), and their performance was compared with 9,10-bis (phenylethynyl) anthracene-nitroxide (BPEAnit). To the best of our knowledge, this is the first study in which the performance of the DTT and DCFH has been compared with the BPEAnit probe. The average concentrations of PM, organic carbon (OC) and elemental carbon (EC) for fine (PM2.5) and coarse (PM10) particles were determined. The results were 44.8 ± 13.7, 9.8 ± 5.1 and 9.3 ± 4.8 µg·m−3 for PM2.5 and 75.5 ± 25.1, 16.3 ± 8.7 and 11.8 ± 5.3 µg·m−3 for PM10, respectively, for PM, OC and EC. The water-soluble organic carbon (WSOC) fraction accounted for 42 ± 14% and 28 ± 9% of organic carbon in PM2.5 and PM10, respectively. The average volume normalized OP values for the three assays depended on both the sampling periods and the PM fractions. The OPBPEAnit had its peak at 2 p.m.; in the afternoon, it was three times higher compared to the morning and late afternoon values. The DCFH and BPEAnit results were correlated (r = 0.64), while there was no good agreement between the BPEAnit and the DTT (r = 0.14). The total organic content of PM does not necessarily represent oxidative capacity and it shows varying correlation with the OP. With respect to the two PM fractions studied, the OP was mostly associated with smaller particles.",
journal = "International Journal of Environmental Research and Public Health",
title = "Measurements of Oxidative Potential of Particulate Matter at Belgrade Tunnel; Comparison of BPEAnit, DTT and DCFH Assays",
volume = "16",
number = "24",
pages = "4906",
doi = "10.3390/ijerph16244906"
}

Jovanović, M., Savić, J., Salimi, F., Stevanović, S., Brown, R. A., Jovašević-Stojanović, M., Manojlovic, D., Bartonova, A., Bottle, S.,& Ristovski, Z.. (2019). Measurements of Oxidative Potential of Particulate Matter at Belgrade Tunnel; Comparison of BPEAnit, DTT and DCFH Assays. in International Journal of Environmental Research and Public Health, 16(24), 4906.
https://doi.org/10.3390/ijerph16244906

Jovanović M, Savić J, Salimi F, Stevanović S, Brown RA, Jovašević-Stojanović M, Manojlovic D, Bartonova A, Bottle S, Ristovski Z. Measurements of Oxidative Potential of Particulate Matter at Belgrade Tunnel; Comparison of BPEAnit, DTT and DCFH Assays. in International Journal of Environmental Research and Public Health. 2019;16(24):4906.
doi:10.3390/ijerph16244906 .

Jovanović, Maja, Savić, Jasmina, Salimi, Farhad, Stevanović, Svetlana, Brown, Reece A., Jovašević-Stojanović, Milena, Manojlovic, Dragan, Bartonova, Alena, Bottle, Steven, Ristovski, Zoran, "Measurements of Oxidative Potential of Particulate Matter at Belgrade Tunnel; Comparison of BPEAnit, DTT and DCFH Assays" in International Journal of Environmental Research and Public Health, 16, no. 24 (2019):4906,
https://doi.org/10.3390/ijerph16244906 . .

TY  - CONF
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12219
AB  - The International Workshop and Conference, Particulate Matter: Research and Management – WeBIOPATR is a biennial event held in Serbia since 2007. The conference rationale stems from the fact that particulate matter is the air quality constituent that currently is responsible for most instances of non-compliance with air quality directives in Europe. Particulate matter, arising both from primary emissions and as a result of secondary formation in the atmosphere, is also one of the least well understood issues. [from Preface]
PB  - Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences
T1  - Particulate Matter: Research and Management : Proceedings from the 6th WeBIOPATR Workshop & Conference
SP  - 1
EP  - 243
UR  - https://hdl.handle.net/21.15107/rcub_vinar_12219
ER  - 

@conference{
editor = "Jovašević-Stojanović, Milena, Bartonova, Alena",
year = "2019",
abstract = "The International Workshop and Conference, Particulate Matter: Research and Management – WeBIOPATR is a biennial event held in Serbia since 2007. The conference rationale stems from the fact that particulate matter is the air quality constituent that currently is responsible for most instances of non-compliance with air quality directives in Europe. Particulate matter, arising both from primary emissions and as a result of secondary formation in the atmosphere, is also one of the least well understood issues. [from Preface]",
publisher = "Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences",
title = "Particulate Matter: Research and Management : Proceedings from the 6th WeBIOPATR Workshop & Conference",
pages = "1-243",
url = "https://hdl.handle.net/21.15107/rcub_vinar_12219"
}

Jovašević-Stojanović, M.,& Bartonova, A.. (2019). Particulate Matter: Research and Management : Proceedings from the 6th WeBIOPATR Workshop & Conference. 
Belgrade : University of Belgrade, Vinča Institute of Nuclear Sciences., 1-243.
https://hdl.handle.net/21.15107/rcub_vinar_12219

Jovašević-Stojanović M, Bartonova A. Particulate Matter: Research and Management : Proceedings from the 6th WeBIOPATR Workshop & Conference. 2019;:1-243.
https://hdl.handle.net/21.15107/rcub_vinar_12219 .

Jovašević-Stojanović, Milena, Bartonova, Alena, "Particulate Matter: Research and Management : Proceedings from the 6th WeBIOPATR Workshop & Conference" (2019):1-243,
https://hdl.handle.net/21.15107/rcub_vinar_12219 .

TY  - CONF
PY  - 2019
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12221
PB  - Belgrade : Public Health Institute of Belgrade
T1  - WeBIOPATR 2019 : Abstracts of keynote invited lectures and contributed papers
SP  - 1
EP  - 107
UR  - https://hdl.handle.net/21.15107/rcub_vinar_12221
ER  - 

@conference{
editor = "Bartonova, Alena, Jovašević-Stojanović, Milena",
year = "2019",
publisher = "Belgrade : Public Health Institute of Belgrade",
title = "WeBIOPATR 2019 : Abstracts of keynote invited lectures and contributed papers",
pages = "1-107",
url = "https://hdl.handle.net/21.15107/rcub_vinar_12221"
}

Bartonova, A.,& Jovašević-Stojanović, M.. (2019). WeBIOPATR 2019 : Abstracts of keynote invited lectures and contributed papers. 
Belgrade : Public Health Institute of Belgrade., 1-107.
https://hdl.handle.net/21.15107/rcub_vinar_12221

Bartonova A, Jovašević-Stojanović M. WeBIOPATR 2019 : Abstracts of keynote invited lectures and contributed papers. 2019;:1-107.
https://hdl.handle.net/21.15107/rcub_vinar_12221 .

Bartonova, Alena, Jovašević-Stojanović, Milena, "WeBIOPATR 2019 : Abstracts of keynote invited lectures and contributed papers" (2019):1-107,
https://hdl.handle.net/21.15107/rcub_vinar_12221 .

TY  - CONF
AU  - Davidović, Miloš
AU  - Topalović, Dušan
AU  - Tasić, Viša
AU  - Jovašević-Stojanović, Milena
PY  - 2018
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12690
AB  - One of the most important factors for increasing usefulness and relevance of air pollution data on a personal level would certainly be an increase in its spatial resolution. Current state of affairs in air quality monitoring networks at state or local level is such that they typically provide a wealth of high resolution temporal data, but monitoring stations are on the other hand mainly located at a few strategically important places in urban area. This low spatial resolution is a big barrier towards providing personally relevant information to citizens which would then be able to answer questions such as: what is the level of air pollution on routes and places they frequent, what are the associated health risks, and finally what can they do about it and at what cost? Part of the solution to this complex puzzle may be in low-cost air quality sensors (LCS). LCS’s are an emerging technology and are now commercially available for gases, particulate matter and meteorological parameters in a wide variety of designs and capabilities. However, the data sets generated by devices composed of selected LCS are often of questionable data quality. There are some protocols for calibration LCS in laboratory and in the field, but such procedures are extensive and appropriate for testing performance only during sensor development, but are certainly not practically feasible for testing of each commercial LCS [1, 2]. Developing, optimizing, and refining experiments and statistical modelling techniques for LCS-AQ calibration and validation is the mandatory step on the route of obtaining reliable and meaningful data [3, 4]. This work elaborates an important part of LCS deployment – its effective calibration procedure. We will describe our current work on calibration procedures for sensors for gaseous pollutants: ozone and carbon monoxide and sensors for particulate matter. In validation campaigns described in this work we have used combination of quality checks and mid-level validation, together with several statistical modeling approaches in order to observe which sensors have desirable level of performance and to later derive calibration curves or more complex calibration models. Calibration models were based on simple linear regression (LR), multiple linear regression (MLR) and artificial neural networks (ANN). Mid-level validation of particulate matter low cost sensors was done via collocation with lab-grade instruments in laboratory office space in Institute Vinca and the results were collected for several weeks. Low cost instruments included two Sharp GP2Y1010AU0F compact optical dust sensors connected to Arduino platform (1 channel output), Alphasense CompactOPC sensor (16 channels from 0.38 to 17 μm) and Dylos DC1700 PM unit (2 channels corresponding to “large” and “small” particles). Lab grade instruments included TSI NanoScan SMPS Model 3910 and TSI Optical particle sizer 3330 (17 channels from 0.3um to 10um). Basic quality check of two Sharp sensors showed that they did not have malfunctions and are surprisingly reliable when used in combination with Arduino platform. Sharp sensors mutually correlate with correlation coefficient cc~0.98. In comparison with lab grade instruments, they correlate best with OPS first channel cc~0.75 and cc steadily declines for channels corresponding to larger particles. Dylos channels best correlate with OPS 0.5-0.721μm for “small” particles with cc~0.60, and with OPS 2.156 μm for “large” particles with cc~0.978. Best performing low cost sensor was certainly Alphasense OPC with cc over 0.90 for corresponding channels. Performed validation steps clearly show to which particulate matter size range individual sensor channels correspond, enabling one to derive meaningful calibration curves. LCS’s for gaseous pollutants were deployed within multi-sensor platform AQMesh. Platforms were collocated with Automatic Monitoring Station Stari Grad belonging to the State Network run by the Serbian Environmental Protection Agency (SEPA), in two 1-month periods in late summer and early autumn 2015. CO and O3 sensors in AQMesh platform passed low level validation (criteria was percentage of collected data), and were considered for development of calibration models. Choice of predictors for MLR and ANN models utilized both statistical reasoning and heuristics to avoid overfitting calibrated sensor with co-varying gas species. Improvements in sensor performance with sophisticated ANN models compared to LR were significant, resulting in relative residuals less than 15% for concentration of pollutant approximately ranging from 175 μg/m3  to 400 μg/m3 , while for O3 in the range from 40 μg/m3 to 120 μg/m3 .
PB  - Belgrade : Serbian Chemical Society
C3  - ENVIROCHEM 2018 : 8th Symposium Chemistry and Environmental Protection : program and the book of abstracts
T1  - Towards widespread adoption of low cost air quality sensors - a necessity for effective calibration procedures
SP  - 39
EP  - 40
UR  - https://hdl.handle.net/21.15107/rcub_vinar_12690
ER  - 

@conference{
author = "Davidović, Miloš and Topalović, Dušan and Tasić, Viša and Jovašević-Stojanović, Milena",
year = "2018",
abstract = "One of the most important factors for increasing usefulness and relevance of air pollution data on a personal level would certainly be an increase in its spatial resolution. Current state of affairs in air quality monitoring networks at state or local level is such that they typically provide a wealth of high resolution temporal data, but monitoring stations are on the other hand mainly located at a few strategically important places in urban area. This low spatial resolution is a big barrier towards providing personally relevant information to citizens which would then be able to answer questions such as: what is the level of air pollution on routes and places they frequent, what are the associated health risks, and finally what can they do about it and at what cost? Part of the solution to this complex puzzle may be in low-cost air quality sensors (LCS). LCS’s are an emerging technology and are now commercially available for gases, particulate matter and meteorological parameters in a wide variety of designs and capabilities. However, the data sets generated by devices composed of selected LCS are often of questionable data quality. There are some protocols for calibration LCS in laboratory and in the field, but such procedures are extensive and appropriate for testing performance only during sensor development, but are certainly not practically feasible for testing of each commercial LCS [1, 2]. Developing, optimizing, and refining experiments and statistical modelling techniques for LCS-AQ calibration and validation is the mandatory step on the route of obtaining reliable and meaningful data [3, 4]. This work elaborates an important part of LCS deployment – its effective calibration procedure. We will describe our current work on calibration procedures for sensors for gaseous pollutants: ozone and carbon monoxide and sensors for particulate matter. In validation campaigns described in this work we have used combination of quality checks and mid-level validation, together with several statistical modeling approaches in order to observe which sensors have desirable level of performance and to later derive calibration curves or more complex calibration models. Calibration models were based on simple linear regression (LR), multiple linear regression (MLR) and artificial neural networks (ANN). Mid-level validation of particulate matter low cost sensors was done via collocation with lab-grade instruments in laboratory office space in Institute Vinca and the results were collected for several weeks. Low cost instruments included two Sharp GP2Y1010AU0F compact optical dust sensors connected to Arduino platform (1 channel output), Alphasense CompactOPC sensor (16 channels from 0.38 to 17 μm) and Dylos DC1700 PM unit (2 channels corresponding to “large” and “small” particles). Lab grade instruments included TSI NanoScan SMPS Model 3910 and TSI Optical particle sizer 3330 (17 channels from 0.3um to 10um). Basic quality check of two Sharp sensors showed that they did not have malfunctions and are surprisingly reliable when used in combination with Arduino platform. Sharp sensors mutually correlate with correlation coefficient cc~0.98. In comparison with lab grade instruments, they correlate best with OPS first channel cc~0.75 and cc steadily declines for channels corresponding to larger particles. Dylos channels best correlate with OPS 0.5-0.721μm for “small” particles with cc~0.60, and with OPS 2.156 μm for “large” particles with cc~0.978. Best performing low cost sensor was certainly Alphasense OPC with cc over 0.90 for corresponding channels. Performed validation steps clearly show to which particulate matter size range individual sensor channels correspond, enabling one to derive meaningful calibration curves. LCS’s for gaseous pollutants were deployed within multi-sensor platform AQMesh. Platforms were collocated with Automatic Monitoring Station Stari Grad belonging to the State Network run by the Serbian Environmental Protection Agency (SEPA), in two 1-month periods in late summer and early autumn 2015. CO and O3 sensors in AQMesh platform passed low level validation (criteria was percentage of collected data), and were considered for development of calibration models. Choice of predictors for MLR and ANN models utilized both statistical reasoning and heuristics to avoid overfitting calibrated sensor with co-varying gas species. Improvements in sensor performance with sophisticated ANN models compared to LR were significant, resulting in relative residuals less than 15% for concentration of pollutant approximately ranging from 175 μg/m3  to 400 μg/m3 , while for O3 in the range from 40 μg/m3 to 120 μg/m3 .",
publisher = "Belgrade : Serbian Chemical Society",
journal = "ENVIROCHEM 2018 : 8th Symposium Chemistry and Environmental Protection : program and the book of abstracts",
title = "Towards widespread adoption of low cost air quality sensors - a necessity for effective calibration procedures",
pages = "39-40",
url = "https://hdl.handle.net/21.15107/rcub_vinar_12690"
}

Davidović, M., Topalović, D., Tasić, V.,& Jovašević-Stojanović, M.. (2018). Towards widespread adoption of low cost air quality sensors - a necessity for effective calibration procedures. in ENVIROCHEM 2018 : 8th Symposium Chemistry and Environmental Protection : program and the book of abstracts
Belgrade : Serbian Chemical Society., 39-40.
https://hdl.handle.net/21.15107/rcub_vinar_12690

Davidović M, Topalović D, Tasić V, Jovašević-Stojanović M. Towards widespread adoption of low cost air quality sensors - a necessity for effective calibration procedures. in ENVIROCHEM 2018 : 8th Symposium Chemistry and Environmental Protection : program and the book of abstracts. 2018;:39-40.
https://hdl.handle.net/21.15107/rcub_vinar_12690 .

Davidović, Miloš, Topalović, Dušan, Tasić, Viša, Jovašević-Stojanović, Milena, "Towards widespread adoption of low cost air quality sensors - a necessity for effective calibration procedures" in ENVIROCHEM 2018 : 8th Symposium Chemistry and Environmental Protection : program and the book of abstracts (2018):39-40,
https://hdl.handle.net/21.15107/rcub_vinar_12690 .

TY  - CONF
PY  - 2017
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12220
PB  - Belgrade : Public Health Institute of Belgrade
T1  - WeBIOPATR 2017 : Abstracts of keynote invited lectures and contributed papers
SP  - 1
EP  - 74
UR  - https://hdl.handle.net/21.15107/rcub_vinar_12220
ER  - 

@conference{
editor = "Bartonova, Alena, Jovašević-Stojanović, Milena",
year = "2017",
publisher = "Belgrade : Public Health Institute of Belgrade",
title = "WeBIOPATR 2017 : Abstracts of keynote invited lectures and contributed papers",
pages = "1-74",
url = "https://hdl.handle.net/21.15107/rcub_vinar_12220"
}

Bartonova, A.,& Jovašević-Stojanović, M.. (2017). WeBIOPATR 2017 : Abstracts of keynote invited lectures and contributed papers. 
Belgrade : Public Health Institute of Belgrade., 1-74.
https://hdl.handle.net/21.15107/rcub_vinar_12220

Bartonova A, Jovašević-Stojanović M. WeBIOPATR 2017 : Abstracts of keynote invited lectures and contributed papers. 2017;:1-74.
https://hdl.handle.net/21.15107/rcub_vinar_12220 .

Bartonova, Alena, Jovašević-Stojanović, Milena, "WeBIOPATR 2017 : Abstracts of keynote invited lectures and contributed papers" (2017):1-74,
https://hdl.handle.net/21.15107/rcub_vinar_12220 .