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Názov A multi-country statistical analysis covering Turkey, Slovakia, and Romania in an educational framework Aut.údaje Tugce Pekdogan ... [et al.] Autor Pekdogan Tugce (20%)
Spoluautori Tinca Udriştioiu Mihaela (20%)
Puiu Silvia (20%)
Yildizhan Hasan (20%)
Hruška Martin 1974- (20%) UMBFP06 - Katedra fyziky
Zdroj.dok. Sustainability. Vol. 15, no. 24 (2023), pp. [1-16]. - Basel : Multidisciplinary Digital Publishing Institute, 2023 Kľúč.slová meteorologické prvky regresná analýza - regression analysis zdravie človeka častice (fyzika) znečistenie ovzdušia - air pollution Heslá geogr. Slovensko Turecko Rumunsko Form.deskr. články - journal articles Jazyk dok. angličtina Krajina Švajčiarsko Anotácia This paper uses hierarchical regression analysis, a statistically robust method, to explore the correlations between two meteorological parameters and three particulate matter concentrations. The dataset is provided by six sensors located in three cities from three countries, and the measure- ments were taken simultaneously for three months at each minute. Analyses and calculations were performed with the Statistical Package for the Social Sciences (SPSS). The results underscore that the complexity of air pollution dynamics is affected by the location even when the same type of sensors is used, and emphasize that a one-size-fits-all approach cannot effectively address air pollution. The findings are helpful from three perspectives: for education, to show how to handle and communicate a solution for local communities’ issues about air pollution; for research, to understand how easy a university can generate and analyze open-source data; and for policymakers, to design targeted interventions addressing each country’s challenges. URL Link na plný text Kategória publikačnej činnosti ADC Číslo archívnej kópie 53883 Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ Odkazy PERIODIKÁ-Súborný záznam periodika 
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