Models of Air Pollution Propagation in the Selected Region of Katowice
The paper deals with issues related to analyzing the spread of air pollution and pollutants in large urban agglomerations, specifically, the search for causality between meteorological conditions and the concentrations of particular substances. The pollutants SO<sub>2</sub> and PM<sub...
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MDPI AG
2021-05-01
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Online Access: | https://www.mdpi.com/2073-4433/12/6/695 |
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author | Dariusz Foszcz Tomasz Niedoba Jarosław Siewior |
author_facet | Dariusz Foszcz Tomasz Niedoba Jarosław Siewior |
author_sort | Dariusz Foszcz |
collection | DOAJ |
description | The paper deals with issues related to analyzing the spread of air pollution and pollutants in large urban agglomerations, specifically, the search for causality between meteorological conditions and the concentrations of particular substances. The pollutants SO<sub>2</sub> and PM<sub>10</sub> were selected for analysis, which, in addition to NO<sub>x</sub>, CO, CO<sub>2</sub> and PM<sub>2.5</sub>, contribute to smog, especially during the heating seasons. This analysis is particularly important because Polish environmental standards are more lenient than those in western EU states. Industrial activity, transport and heating systems based on coal-burning are still a big problem in Poland, and each year their gaseous and particulate emissions exceed air-quality limits. This paper presents a statistical analysis of data recorded at the air-quality monitoring station on Kossuth Street in Katowice concerning the heating seasons from 2013–2016. The verification of proposed parabolic models containing concentrations from previous time periods and statistically significant meteorological conditions was conducted for individual heating seasons as well for the whole set of data, which included the influence of wind speed and temperature. The models obtained proved that the selected form of a model is statistically significant, and its use may produce satisfactory forecast results and permit various environmental applications. The specified model might be used both for forecasting (verification and possibly updating coefficients to increase forecast accuracy) and analyzing the factors influencing pollution values. Such statistical analysis may be helpful in assessing the impact of measures adopted to reduce air pollution, particularly in large Polish cities. |
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format | Article |
id | doaj.art-eb59142a860043698471f98c0514664a |
institution | Directory Open Access Journal |
issn | 2073-4433 |
language | English |
last_indexed | 2024-03-10T10:55:06Z |
publishDate | 2021-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Atmosphere |
spelling | doaj.art-eb59142a860043698471f98c0514664a2023-11-21T21:58:28ZengMDPI AGAtmosphere2073-44332021-05-0112669510.3390/atmos12060695Models of Air Pollution Propagation in the Selected Region of KatowiceDariusz Foszcz0Tomasz Niedoba1Jarosław Siewior2Environmental Engineering Department, Faculty of Mining and Geoengineering, AGH University of Science and Technology in Kraków, al. Mickiewicza 30, 30-059 Kraków, PolandEnvironmental Engineering Department, Faculty of Mining and Geoengineering, AGH University of Science and Technology in Kraków, al. Mickiewicza 30, 30-059 Kraków, PolandProvincial Environmental Protection Inspectorate in Katowice, ul. Wita Stwosza 2, 40-032 Katowice, PolandThe paper deals with issues related to analyzing the spread of air pollution and pollutants in large urban agglomerations, specifically, the search for causality between meteorological conditions and the concentrations of particular substances. The pollutants SO<sub>2</sub> and PM<sub>10</sub> were selected for analysis, which, in addition to NO<sub>x</sub>, CO, CO<sub>2</sub> and PM<sub>2.5</sub>, contribute to smog, especially during the heating seasons. This analysis is particularly important because Polish environmental standards are more lenient than those in western EU states. Industrial activity, transport and heating systems based on coal-burning are still a big problem in Poland, and each year their gaseous and particulate emissions exceed air-quality limits. This paper presents a statistical analysis of data recorded at the air-quality monitoring station on Kossuth Street in Katowice concerning the heating seasons from 2013–2016. The verification of proposed parabolic models containing concentrations from previous time periods and statistically significant meteorological conditions was conducted for individual heating seasons as well for the whole set of data, which included the influence of wind speed and temperature. The models obtained proved that the selected form of a model is statistically significant, and its use may produce satisfactory forecast results and permit various environmental applications. The specified model might be used both for forecasting (verification and possibly updating coefficients to increase forecast accuracy) and analyzing the factors influencing pollution values. Such statistical analysis may be helpful in assessing the impact of measures adopted to reduce air pollution, particularly in large Polish cities.https://www.mdpi.com/2073-4433/12/6/695air pollutionsulfur dioxidePM<sub>10</sub>PM<sub>2.5</sub>regression models |
spellingShingle | Dariusz Foszcz Tomasz Niedoba Jarosław Siewior Models of Air Pollution Propagation in the Selected Region of Katowice Atmosphere air pollution sulfur dioxide PM<sub>10</sub> PM<sub>2.5</sub> regression models |
title | Models of Air Pollution Propagation in the Selected Region of Katowice |
title_full | Models of Air Pollution Propagation in the Selected Region of Katowice |
title_fullStr | Models of Air Pollution Propagation in the Selected Region of Katowice |
title_full_unstemmed | Models of Air Pollution Propagation in the Selected Region of Katowice |
title_short | Models of Air Pollution Propagation in the Selected Region of Katowice |
title_sort | models of air pollution propagation in the selected region of katowice |
topic | air pollution sulfur dioxide PM<sub>10</sub> PM<sub>2.5</sub> regression models |
url | https://www.mdpi.com/2073-4433/12/6/695 |
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