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The phenomenon of smog, i.e. excessive air pollution in urban areas is well-known and has been widely described in the literature. Typically, two types of smog are distinguished: the acid smog that is called "London smog" and the photochemical smog called "Los Angeles-type smog". The first one is formed in the winter months. In contrast, the photochemical smog arises in the summer months. In recent years in Poland, especially in winter, alarms associated with poor air quality have become very common. Under Polish climatic conditions, the main reason for low air quality corresponds to the exceeded permissible concentrations of suspended particulate matter. The paper analyzes the process of "Polish smog" formation by comparing the recorded concentrations of PM10 suspended particulate matter at four monitoring stations of the Inspectorate of Environmental Protection with weather conditions prevailing at that time. The data from the monitoring stations located in four Polish cities: Krakow, Zabrze, Lodz and Gdansk were analyzed. The analysis covered the years 2014-2017. The results of this analysis showed that "Polish smog" arises under different meteorological conditions than other types of smog known from the literature.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
180--187
Opis fizyczny
Bibliogr. 13 poz., rys.
Twórcy
autor
- Lodz University of Technology, Faculty of Process and Environmental Engineering, ul. Wólczańska 213, 90-924 Łódź, Poland
autor
- Lodz University of Technology, Faculty of Process and Environmental Engineering, ul. Wólczańska 213, 90-924 Łódź, Poland
Bibliografia
- 1. Chu S.H. 2004. PM2.5 episodes as observed in the speciation trends network. Atmospheric Environment, 38(31), 5237–5246.
- 2. Kim H.S., Huh J.B., Hopke P.K., Holsen T.M., Yi S.M. 2007. Characteristics of the major chemical constituents of PM2.5 and smog events in Seoul, Korea in 2003 and 2004. Atmospheric Research, 41, 6762–6770.
- 3. Megido L., Suárez-Peña B., Negral L., Castrillón L., Suárez S., Fernándes-Nava Y., Marañón E. 2016. Relationship between physico-chemical characteristics and potential toxicity of PM10. Chemosphere, 162, 73–79.
- 4. Mira-Salama D., Gruning C., Jensen N.R., Cavalli P., Putaud J.P., Larsen B.R., Raes F., Coe H. 2008. Source attribution of urban smog episodes caused by coal combustion. Atmospheric Research, 88(3), 294–304.
- 5. Mishra S. 2017. Is smog innocuous? Air pollution and cardiovascular disease. Indian Heart Journal, 69, 425–429.
- 6. Muiwijk C., Schrijvers P.J.C., Wuerz S., Kenjereš S. 2016. Simulations of photochemical smog formation in complex urban areas. Atmospheric Environment, 147, 470–484.
- 7. Rawicki K., Czarnecka M., Nidzgorska-Lencewicz J. 2018. Regions of pollution with particulate matter in Poland. E3S Web of Conferences 28, 01025.
- 8. Rodriguez M.C., Dupont-Courtade L., Oueslati W. 2016. Air pollution and urban structure linkages: Evidence from European cities. Renewable and Sustainable Energy Reviews, 53:1–9.
- 9. Wang J., Hipel K.W., Dang Y. 2017. An improved grey dynamic trend incidence model with application to factors causing smog weather. Expert Systems with Applications 87, 240–251.
- 10. Wichmann H.E. 2004. What can we learn today from the Central European smog episode of 1985 (and earlier episodes)? International Journal of Hygiene and Environmental Health, 206, 505–520.
- 11. Wong T.Y. 2017. Smog induces oxidative stress and microbiota disruption. Journal of Food and Drug Analysis, 25, 235–244.
- 12. Zhou M., He G., Fan M., Wang Z., Liu Y., Ma J., Ma Z., Liu J., Liu Y., Wang L., Liu Y. 2015. Smog episodes, fine particulate pollution and mortality in China. Environmental Research, 136, 396–404.
- 13. Yang Z., Wang J. 2017. A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction. Environmental Research, 158, 105–117.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-52fda86a-1692-4763-9a37-f54057b0e534