Winter and Summer PM2.5 Land Use Regression Models for the City of Novi Sad, Serbia
Autori
Dmitrašinović, SonjaRadonić, Jelena
Živković, Marija
Ćirović, Željko
Jovašević-Stojanović, Milena
Davidović, Miloš
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
In this study, we describe the development of seasonal winter and summer (heating and non-heating season) land use regression (LUR) models for PM2.5 mass concentration for the city of Novi Sad, Serbia. The PM2.5 data were obtained through an extensive seasonal measurement campaign conducted at 21 locations in urban, urban/industrial, industrial and background areas in the period from February 2020–July 2021. At each location, PM2.5 samples were collected on quartz fibre filters for 10 days per season using a reference gravimetric pump. The developed heating season model had two predictors, the first can be associated with domestic heating over a larger area and the second with local traffic. These predictors contributed to the adjusted R2 of 0.33 and 0.55, respectively. The developed non-heating season model had one predictor which can be associated with local traffic, which contributed to the adjusted R2 of 0.40. Leave-one-out cross-validation determined RMSE/mean absolute error for t...he heating and non-heating season model were 4.04/4.80 μg/m3 and 2.80/3.17 μg/m3, respectively. For purposes of completeness, developed LUR models were also compared to a simple linear model which utilizes satellite aerosol optical depth data for PM2.5 estimation, and showed superior performance. The developed LUR models can help with quantification of differences between seasonal levels of air pollution, and, consequently, air pollution exposure and association between seasonal long-term exposure and possible health risk implications.
Ključne reči:
fine particulate matter / land use regression (LUR) / heating/non-heating seasonal PM2.5 model / digital twin / aerosol optical depthIzvor:
Sustainability, 2024, 16, 13, 5314-Finansiranje / projekti:
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200017 (Univerzitet u Beogradu, Institut za nuklearne nauke Vinča, Beograd-Vinča) (RS-MESTD-inst-2020-200017)
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200156 (Univerzitet u Novom Sadu, Fakultet tehničkih nauka) (RS-MESTD-inst-2020-200156)
- European Union’s Horizon 2020 Research and Innovation Programme under the VIDIS project [grant number 952433]
- City Administration for Environmental Protection Novi Sad [project no. VI-501-2/2022-35B-11]
- Faculty of Technical Sciences, University of Novi Sad [project “Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad” (No. 01-3394/1)]
- Provincial Secretariat for Higher Education and Scientific Research, AP Vojvodina, Republic of Serbia [Grant number 142-451-3509/2023-01]
Kolekcije
Institucija/grupa
VinčaTY - JOUR AU - Dmitrašinović, Sonja AU - Radonić, Jelena AU - Živković, Marija AU - Ćirović, Željko AU - Jovašević-Stojanović, Milena AU - Davidović, Miloš PY - 2024 UR - https://vinar.vin.bg.ac.rs/handle/123456789/13526 AB - In this study, we describe the development of seasonal winter and summer (heating and non-heating season) land use regression (LUR) models for PM2.5 mass concentration for the city of Novi Sad, Serbia. The PM2.5 data were obtained through an extensive seasonal measurement campaign conducted at 21 locations in urban, urban/industrial, industrial and background areas in the period from February 2020–July 2021. At each location, PM2.5 samples were collected on quartz fibre filters for 10 days per season using a reference gravimetric pump. The developed heating season model had two predictors, the first can be associated with domestic heating over a larger area and the second with local traffic. These predictors contributed to the adjusted R2 of 0.33 and 0.55, respectively. The developed non-heating season model had one predictor which can be associated with local traffic, which contributed to the adjusted R2 of 0.40. Leave-one-out cross-validation determined RMSE/mean absolute error for the heating and non-heating season model were 4.04/4.80 μg/m3 and 2.80/3.17 μg/m3, respectively. For purposes of completeness, developed LUR models were also compared to a simple linear model which utilizes satellite aerosol optical depth data for PM2.5 estimation, and showed superior performance. The developed LUR models can help with quantification of differences between seasonal levels of air pollution, and, consequently, air pollution exposure and association between seasonal long-term exposure and possible health risk implications. T2 - Sustainability T1 - Winter and Summer PM2.5 Land Use Regression Models for the City of Novi Sad, Serbia VL - 16 IS - 13 SP - 5314 DO - 10.3390/su16135314 ER -
@article{ author = "Dmitrašinović, Sonja and Radonić, Jelena and Živković, Marija and Ćirović, Željko and Jovašević-Stojanović, Milena and Davidović, Miloš", year = "2024", abstract = "In this study, we describe the development of seasonal winter and summer (heating and non-heating season) land use regression (LUR) models for PM2.5 mass concentration for the city of Novi Sad, Serbia. The PM2.5 data were obtained through an extensive seasonal measurement campaign conducted at 21 locations in urban, urban/industrial, industrial and background areas in the period from February 2020–July 2021. At each location, PM2.5 samples were collected on quartz fibre filters for 10 days per season using a reference gravimetric pump. The developed heating season model had two predictors, the first can be associated with domestic heating over a larger area and the second with local traffic. These predictors contributed to the adjusted R2 of 0.33 and 0.55, respectively. The developed non-heating season model had one predictor which can be associated with local traffic, which contributed to the adjusted R2 of 0.40. Leave-one-out cross-validation determined RMSE/mean absolute error for the heating and non-heating season model were 4.04/4.80 μg/m3 and 2.80/3.17 μg/m3, respectively. For purposes of completeness, developed LUR models were also compared to a simple linear model which utilizes satellite aerosol optical depth data for PM2.5 estimation, and showed superior performance. The developed LUR models can help with quantification of differences between seasonal levels of air pollution, and, consequently, air pollution exposure and association between seasonal long-term exposure and possible health risk implications.", journal = "Sustainability", title = "Winter and Summer PM2.5 Land Use Regression Models for the City of Novi Sad, Serbia", volume = "16", number = "13", pages = "5314", doi = "10.3390/su16135314" }
Dmitrašinović, S., Radonić, J., Živković, M., Ćirović, Ž., Jovašević-Stojanović, M.,& Davidović, M.. (2024). Winter and Summer PM2.5 Land Use Regression Models for the City of Novi Sad, Serbia. in Sustainability, 16(13), 5314. https://doi.org/10.3390/su16135314
Dmitrašinović S, Radonić J, Živković M, Ćirović Ž, Jovašević-Stojanović M, Davidović M. Winter and Summer PM2.5 Land Use Regression Models for the City of Novi Sad, Serbia. in Sustainability. 2024;16(13):5314. doi:10.3390/su16135314 .
Dmitrašinović, Sonja, Radonić, Jelena, Živković, Marija, Ćirović, Željko, Jovašević-Stojanović, Milena, Davidović, Miloš, "Winter and Summer PM2.5 Land Use Regression Models for the City of Novi Sad, Serbia" in Sustainability, 16, no. 13 (2024):5314, https://doi.org/10.3390/su16135314 . .