From Local Issues to Global Impacts: Evidence of Air Pollution for Romania and Turkey

dc.authoridAmeen, Dr. Arman/0000-0002-8349-6659
dc.authoridUdristioiu, Mihaela Tinca/0000-0002-5811-5930
dc.authoridPekdogan, Tugce/0000-0002-1916-9434
dc.contributor.authorPekdogan, Tugce
dc.contributor.authorUdristioiu, Mihaela Tinca
dc.contributor.authorYildizhan, Hasan
dc.contributor.authorAmeen, Arman
dc.date.accessioned2025-01-06T17:36:11Z
dc.date.available2025-01-06T17:36:11Z
dc.date.issued2024
dc.description.abstractAir pollution significantly threatens human health and natural ecosystems and requires urgent attention from decision makers. The fight against air pollution begins with the rigorous monitoring of its levels, followed by intelligent statistical analysis and the application of advanced machine learning algorithms. To effectively reduce air pollution, decision makers must focus on reducing primary sources such as industrial plants and obsolete vehicles, as well as policies that encourage the adoption of clean energy sources. In this study, data analysis was performed for the first time to evaluate air pollution based on the SPSS program. Correlation coefficients between meteorological parameters and particulate matter concentrations (PM1, PM2.5, PM10) were calculated in two urban regions of Romania (Craiova and Drobeta-Turnu Severin) and Turkey (Adana). This study establishes strong relationships between PM concentrations and meteorological parameters with correlation coefficients ranging from -0.617 (between temperature and relative humidity) to 0.998 (between PMs). It shows negative correlations between temperature and particulate matter (-0.241 in Romania and -0.173 in Turkey) and the effects of humidity ranging from moderately positive correlations with PMs (up to 0.360 in Turkey), highlighting the valuable insights offered by independent PM sensor networks in assessing and improving air quality.
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 concerning 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/s24041320
dc.identifier.issn1424-8220
dc.identifier.issue4
dc.identifier.pmid38400479
dc.identifier.scopus2-s2.0-85185826990
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/s24041320
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1796
dc.identifier.volume24
dc.identifier.wosWOS:001172669600001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofSensors
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectair pollution
dc.subjectstatistical analysis
dc.subjectmonitoring
dc.subjectPM sensors
dc.subjectecosystems
dc.titleFrom Local Issues to Global Impacts: Evidence of Air Pollution for Romania and Turkey
dc.typeArticle

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