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The article presents the measurement results of the concentration of dust PM10 and PM2.5 as well as SO2, NO, NO2 and NOx based on a mobile laboratory located on the campus of the Silesian University of Technology (Poland, Gliwice, Konarskiego 20B, 50.292934N, 18.682164E), in the so-called “winter period” in 2020 (from 01/01/2020 to 31/03/2020 and from 01/10/2020 to 31/12/2020). The obtained results were used to carry out a synthetic (aggregated) assessment of the threat to the anthropogenic environment, the so-called “objects”, i.e. days on which the measurements were made, interpreted as points in the multidimensional space with coordinates corresponding to the measurement results of the concentration of dust pollutants: PM10 and PM2.5 and gaseous pollutants: SO2, NO, NO2 and NOx. The determined synthetic values additionally allowed for ordering (creating rankings) of the examined “objects” in terms of air quality. For the calculations, the Simple Additive Weighting method (SAW) was used, which belongs to the group of single-criteria synthesis methods.
Czasopismo
Rocznik
Tom
Strony
167--174
Opis fizyczny
Bibliogr. 29 poz.
Twórcy
autor
- Associate Prof., DSc Eng.; Silesian University of Technology, Faculty of Energy and Environmental Engineering (Department of Air Protection), Konarskiego 20B, 44-100 Gliwice, Poland
autor
- Associate Prof., DSc Eng.; Silesian University of Technology, Faculty of Mining, Safety Engineering and Industrial Automation (Department of Safety Engineering), Akademicka 2, 44-100 Gliwice, Poland
Bibliografia
- [1] Francová, A., Chrastný, V., Vítková, M., Šillerová, H., Komárek M. (2020). Health risk assessment of metal(loid)s in soil and particulate matter from industrialized regions: A multidisciplinary approach. Environmental Pollution, 260. https://doi.org/10.1016/j.envpol.2020.114057.
- [2] Świelik R., Trojanowska M. (2022). Review Chemical Fractionation in Environmental Studies of Potentially Toxic Particulate-Bound Elements in Urban Air, Toxics; 10(3), 124. https://doi.org/10.3390/toxics10030124
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- [4] Mainka A., Zajusz-Zubek E. (2015). Indoor air quality in urban and rural preschools in Upper Silesia, Poland: particulate matter and carbon dioxide, International Journal of Environmental Research and Public Health, 12, 7697–7711.
- [5] Lopuszanska-Dawid M., Kołodziej H., Lipowicz A., Szklarska A., Kopiczko A., Bielicki T. (2020). Social class-specific secular trends in height among 19-year old Polish men: 6th national surveys from 1965 till 2010, Economics and Human Biology, 37, 100832. https://pubmed.ncbi.nlm.nih.gov/31924589/.
- [6] PN-EN 14212:2013-02/AC:2014-06E Ambient air quality – Standard method for the measurement of the concentration of sulphur dioxide by ultraviolet fluorescence.
- [7] PN-EN 14211:2013-02 Ambient air quality - Standard method for the measurement of the concentration of nitrogen dioxide and nitrogen monoxide by chemiluminescence.
- [8] PN-EN 12341:2014-07 Ambient air - Standard gravimetric measurement method for the determination of the PM10 or PM2,5 mass concentration of suspended particulate matter.
- [9] Afshari, A., Mojahed M., Yusuff R. (2010). Simple Additive Weighting approach to personnel selection problem. International Journal of Innovation and Technology Management, 1(5), 511–515.
- [10] Alinezhad, A., Sarrafha, K., Amini, A. (2014). Sensitivity analysis of SAW technique: the impact of changing the decision making matrix elements on the final ranking of alternatives. Iranian Journal of Operations Research, 5(1), 82–94.
- [11] Chen, T.Y. (2012). Comparative analysis of SAW and TOPSIS based on interval-valued fuzzy sets: discussions on score functions and weight constraints. Expert Systems with Applications, 39(2), 1848–1861.
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- [14] Goodridge, W. S. (2016). Sensitivity analysis using Simple Additive Weighting method. International Journal of Intelligent Systems and Applications, 8(5), 27–33.
- [15] Huang, Y.S., Chang, W.C., Li, W.H., Lin, Z.L. (2013). Aggregation of utility-based individual preferences for group decision-making. European Journal of Operational Research, 229(2), 462–469.
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- [20] Kumar, M., Jayaswal, P., Kushwah K. (2013). Exploring fuzzy SAW method for maintenance strategy selection problem of material handling equipment. International Journal of Current Engineering and Technology, 3(2), 600–605.
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- [22] Mokhtari, E., Khamehchian, M., Montazer, G., Nikudel, M. (2016). Landfill site selection using Simple Additive Weighting (SAW) method and artificial neural network method; a case study from Lorestan province, Iran. International Journal of Geography and Geology, 5(10), 209–223.
- [23] Putra, D. W. T., Punggara A. A. (2018). Comparison analysis of simple additive Weighting (SAW) and weigthed product (WP) in decision support systems. In: MATEC Web of Conferences. [on line] 215(1), 1003. Available at: https://pdfs.semanticscholar.org/705b/2d3c3ba9e882f113f53c83ec185f7aef6425.pdf?_ga=2.165226936.624443085.1618500084-257788093.1618500084 [Accessed 25 Jan. 2021].
- [24] Simanaviciene, R., Ustinovichius, L. (2010). Sensitivity analysis for multiple criteria decision making methods: TOPSIS and SAW. Social and Behavioral Sciences, 2(6), 7743–7744.
- [25] Tahyudin, I., Rosyidi, R., Ahmar, A. S., Haviluddin, H. (2018). Comparison of the Simple Additive Weighting (SAW) with the Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) methods. International Journal of Engineering and Technology, 7(2.2), 87–89.
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- [28] https://www.traseo.pl/mapy-turystyczne/mapa/74/gliwice-i-okolice-polska-galileos
- [29] Rozporządzenie Ministra Środowiska z dnia 11 grudnia 2020 r. w sprawie dokonywania oceny poziomów substancji w powietrzu (Dz.U. z 2020 r., poz. 2279).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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