A Multi-Country Statistical Analysis Covering Turkey, Slovakia, and Romania in an Educational Framework

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dc.authoridPekdogan, Tugce/0000-0002-1916-9434
dc.authoridPuiu, Silvia/0000-0002-3967-3726
dc.authoridUdristioiu, Mihaela Tinca/0000-0002-5811-5930
dc.contributor.authorPekdogan, Tugce
dc.contributor.authorUdristioiu, Mihaela Tinca
dc.contributor.authorPuiu, Silvia
dc.contributor.authorYildizhan, Hasan
dc.contributor.authorHruska, Martin
dc.date.accessioned2025-01-06T17:43:53Z
dc.date.available2025-01-06T17:43:53Z
dc.date.issued2023
dc.description.abstractThis 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 measurements 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.
dc.description.sponsorshipEuropean Union [2021-1-RO01-KA220-HED-000030286]
dc.description.sponsorshipThe support of the Advtech_AirPollution project (Applying some advanced technologies in teaching and research about air pollution, 2021-1-RO01-KA220-HED-000030286) funded by the European Union within the framework of the Erasmus+ Program is gratefully acknowledged.
dc.identifier.doi10.3390/su152416735
dc.identifier.issn2071-1050
dc.identifier.issue24
dc.identifier.scopus2-s2.0-85185833274
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/su152416735
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2847
dc.identifier.volume15
dc.identifier.wosWOS:001130846300001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofSustainability
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectparticulate matters
dc.subjectmeteorological parameters
dc.subjecthierarchical regression
dc.subjecthuman health
dc.subjectenvironmental education
dc.titleA Multi-Country Statistical Analysis Covering Turkey, Slovakia, and Romania in an Educational Framework
dc.typeArticle

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