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Języki publikacji
Abstrakty
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-3 of carbon monoxide, eBC concentration rise between 4.2 and 8.0 μg∙m-3, 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.
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Czasopismo
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Tom
Strony
1--10
Opis fizyczny
Bibliogr. 46 poz., rys., tab., wykr.
Twórcy
autor
- Wrocław University of Environmental and Life Sciences, Department of Applied Mathematics, Wrocław, Poland
autor
- Wrocław University of Environmental and Life Sciences, Institute of Spatial Management, Grunwaldzka 53, 50-357, Wrocław, Poland
Bibliografia
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- Hansen, A.D.A., Rosen, H. and Novakov, T. (1984) “The aethalometer – An instrument for the real-time measurement of optical absorption by aerosol particles,” Science of the Total Environment, 36, pp. 191–196. Available at: https://doi.org/10.1016/0048-9697(84)90265-1.
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- Kamińska, J.A., Turek, T. and Kazak J.K. (2022) “Exposure of pedestrians and cyclists to air pollution in the city,” Proceedings of the 7th World Congress on Civil, Structural, and Environmental Engineering, 184. Available at: https://doi.org/10.11159/iceptp22.184.
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- Klejnowski, K., Janoszka, K. and Czaplicka, M. (2017) “Characterization and seasonal variations of organic and elemental carbon and Levoglucosan in PM10 in Krynica Zdroj, Poland,” Atmosphere, 8(12), 190. Available at: https://doi.org/10.3390/atmos8100190.
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- Latha, K.M. and Badarinath, K.V.S. (2004) “Correlation between black carbon aerosols, carbon monoxide and tropospheric ozone over a tropical urban site,” Atmospheric Research, 71(4), pp. 265–274. Available at: https://doi.org/10.1016/J.ATMOSRES.2004.06.004.
- Lin, W. et al. (2019) “Integrated assessment of health risk and climate effects of black carbon in the Pearl River Delta region, China,” Environmental Research, 176, 108522. Available at: https://doi.org/10.1016/J.ENVRES.2019.06.003.
- Luoma, K. et al. (2021) “Spatiotemporal variation and trends in equivalent black carbon in the Helsinki metropolitan area in Finland,” Atmospheric Chemistry and Physics, 21(2), pp. 1173–1189. Available at: https://doi.org/10.5194/acp-21-1173-2021.
- Maciejewska, K. et al. (2015) “Modelling of black carbon statistical distribution and return periods of extreme concentrations,” Environmental Modelling and Software, 74, pp. 212–226. Available at: https://doi.org/10.1016/j.envsoft.2015.04.016.
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- McRoberts, R.E. et al. (2015) “Indirect and direct estimation of forest biomass change using forest inventory and airborne laser scanning data,” Remote Sensing of Environment, 164, pp. 36–42. Available at: https://doi.org/10.1016/J.RSE.2015.02.018.
- Munir, S., Chen, H. and Ropkins, K. (2014) “Characterising the temporal variations of ground-level ozone and its relationship with traffic-related air pollutants in the United Kingdom: a quantile regression approach,” International Journal of Sustainable Development and Planning, 9(1), pp. 29–41. Available at: https://doi.org/10.2495/SDP-V9-N1-29-41.
- Pan, X.L. et al. (2011) “Correlation of black carbon aerosol and carbon monoxide in the high-altitude environment of Mt. Huang in Eastern China,” Atmospheric Chemistry and Physics, 11(18), pp. 9735–9747. Available at: https://doi.org/10.5194/acp-11-9735-2011.
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- Posyniak, M.A., et al. (2021) “Experimental study of smog microphysical and optical vertical structure in the Silesian Beskids, Poland,” Atmospheric Pollution Research, 12(9), 101171. Available at: https://doi.org/10.1016/J.APR.2021.101171.
- Rovira, J. et al. (2022) “Non-linear models for black carbon exposure modelling using air pollution datasets,” Environmental Research, 212, 113269. Available at: https://doi.org/10.1016/J.ENVRES.2022.113269.
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- Wai, T.H. et al. (2022) “Insights from application of a hierarchical spatio-temporal model to an intensive urban black carbon monitoring dataset,” Atmospheric Environment, 277, 119069. Available at: https://doi.org/10.1016/J.ATMOSENV.2022.119069.
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- Zioła, N., Błaszczak, B. and Klejnowski, K. (2021) “Long-term eBC measurements with the use of MAAP in the polluted urban atmosphere (Poland),” Atmosphere, 12(7), 808. Available at: https://doi.org/10.3390/atmos12070808.
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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