Indirect estimation of black carbon concentration in traffic site based on other pollutants – time variability analysis
Aiming to create more sustainable cities it is necessary to understand and manage different ecological factors which influence human health. One of such factors is black carbon (BC) in atmosphere, which currently is not commonly monitored by environmental monitoring systems. The aim of this research...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2023-09-01
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| Series: | Journal of Water and Land Development |
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| Online Access: | https://journals.pan.pl/Content/128394/PDF/2023-03-JWLD-01.pdf |
| _version_ | 1797659242526670848 |
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| author | Joanna A. Kamińska Jan K. Kazak |
| author_facet | Joanna A. Kamińska Jan K. Kazak |
| author_sort | Joanna A. Kamińska |
| collection | DOAJ |
| description | Aiming to create more sustainable cities it is necessary to understand and manage different ecological factors which influence human health. One of such factors is black carbon (BC) in atmosphere, which currently is not commonly monitored by environmental monitoring systems. The aim of this research was to estimate by indirect approach the relation between eBC (equivalent of black carbon) concentration and other air pollutants in order to define approximate level of eBC in more efficient approach. The study was conducted in Wrocław (Poland) in October 2021, and combined data on eBC concentration (measured by microaethalometer), air quality (from national environmental monitoring system) and traffic (from municipal traffic management system). Quantile regression was used to assess the relationship between the concentrations of pollutants. The obtained results show that for rise 1 mg∙m<sup>–3</sup> of carbon monoxide, eBC concentration rise between 4.2 and 8.0 μg∙m<sup>–3</sup>, depending on the period of a day. Precision of eBC concentration evaluation is influenced by sun light which results in higher precision of defining a scaling factor for night hours. Outcomes of this study constitute an added value to understanding of interconnections between different factors describing environmental conditions in cities and might be helpful for more effective environmental assessment of human habitats. |
| first_indexed | 2024-03-11T18:12:01Z |
| format | Article |
| id | doaj.art-4ac02eabf6674b849fcfafff6a7835ec |
| institution | Directory Open Access Journal |
| issn | 2083-4535 |
| language | English |
| last_indexed | 2024-03-11T18:12:01Z |
| publishDate | 2023-09-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Journal of Water and Land Development |
| spelling | doaj.art-4ac02eabf6674b849fcfafff6a7835ec2023-10-16T12:12:37ZengPolish Academy of SciencesJournal of Water and Land Development2083-45352023-09-01No 58110https://doi.org/10.24425/jwld.2023.145355Indirect estimation of black carbon concentration in traffic site based on other pollutants – time variability analysisJoanna A. Kamińska0https://orcid.org/0000-0002-0157-516XJan K. Kazak1https://orcid.org/0000-0002-1864-9954Wrocław University of Environmental and Life Sciences, Department of Applied Mathematics, Wrocław, PolandWrocław University of Environmental and Life Sciences, Institute of Spatial Management, Grunwaldzka 53, 50-357, Wrocław, PolandAiming to create more sustainable cities it is necessary to understand and manage different ecological factors which influence human health. One of such factors is black carbon (BC) in atmosphere, which currently is not commonly monitored by environmental monitoring systems. The aim of this research was to estimate by indirect approach the relation between eBC (equivalent of black carbon) concentration and other air pollutants in order to define approximate level of eBC in more efficient approach. The study was conducted in Wrocław (Poland) in October 2021, and combined data on eBC concentration (measured by microaethalometer), air quality (from national environmental monitoring system) and traffic (from municipal traffic management system). Quantile regression was used to assess the relationship between the concentrations of pollutants. The obtained results show that for rise 1 mg∙m<sup>–3</sup> of carbon monoxide, eBC concentration rise between 4.2 and 8.0 μg∙m<sup>–3</sup>, depending on the period of a day. Precision of eBC concentration evaluation is influenced by sun light which results in higher precision of defining a scaling factor for night hours. Outcomes of this study constitute an added value to understanding of interconnections between different factors describing environmental conditions in cities and might be helpful for more effective environmental assessment of human habitats.https://journals.pan.pl/Content/128394/PDF/2023-03-JWLD-01.pdfair pollutionblack carboncarbon monoxidesindirect estimationtraffic |
| spellingShingle | Joanna A. Kamińska Jan K. Kazak Indirect estimation of black carbon concentration in traffic site based on other pollutants – time variability analysis Journal of Water and Land Development air pollution black carbon carbon monoxides indirect estimation traffic |
| title | Indirect estimation of black carbon concentration in traffic site based on other pollutants – time variability analysis |
| title_full | Indirect estimation of black carbon concentration in traffic site based on other pollutants – time variability analysis |
| title_fullStr | Indirect estimation of black carbon concentration in traffic site based on other pollutants – time variability analysis |
| title_full_unstemmed | Indirect estimation of black carbon concentration in traffic site based on other pollutants – time variability analysis |
| title_short | Indirect estimation of black carbon concentration in traffic site based on other pollutants – time variability analysis |
| title_sort | indirect estimation of black carbon concentration in traffic site based on other pollutants time variability analysis |
| topic | air pollution black carbon carbon monoxides indirect estimation traffic |
| url | https://journals.pan.pl/Content/128394/PDF/2023-03-JWLD-01.pdf |
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