Correlation Between Daily PM10, Nitrogen Dioxide, and Ozone Measurements with the Stringency Index in 15 Different Districts of a Big Metropolis

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dc.WoS.categoriesRespiratory Systemen_US
dc.authorid0000-0001-5312-083Xen_US
dc.contributor.authorBostan, Pınar
dc.contributor.authorYavuz, Cavit Işık
dc.contributor.authorÖztürk, Berker
dc.contributor.authorOlcay, Sabri Serhan
dc.contributor.authorAykaç, Nilüfer
dc.date.accessioned2024-04-05T11:07:35Z
dc.date.available2024-04-05T11:07:35Z
dc.date.issued2023-09
dc.description.abstractOBJECTIVE: Studies have investigated the effects of lockdowns on air quality around the world and found that fine particulate matter and nitrogen dioxide concentrations decreased due to reduced human activity, while ozone concentrations increased. In this study, we aimed to evaluate the correlation between daily stringency index values of our country and daily PM10, nitrogen dioxide, and ozone measurements in different districts of Istanbul between March 1, 2020, and February 28, 2022. MATERIAL AND METHODS: Ministry of Environment and Urbanization and National Air Quality Monitoring Network data on Istanbul air quality monitoring stations were used. The analysis included 15 stations that can monitor at least 75% of the days in a year. PM 10, nitrogen dioxide, and ozone were the main pollutants analyzed. RESULTS: There was negative correlation between daily PM 10 measurements and daily stringency index values in 3 stations; there was positive correlation in 6 stations. Between daily stringency index values and daily nitrogen dioxide measurements, there was a negative correlation in 3 stations and a positive correlation in 1 station. The daily measurements of 1 station showed a negative correlation with the daily values of stringency index for both PM 10 and nitrogen dioxide. In 1 station, while PM10 measures were negatively correlated with stringency index, nitrogen dioxide measurements were positively correlated. CONCLUSION: This study showed that pandemic limitations could not improve Istanbul's air quality everywhere. For adequate evaluation of impact of the limitations on air quality, it may be more relevant to study the socioeconomic infrastructure of each living area, the sociospatial inequality, industrial employment, the number of households, the density of employee class, and so on with all influencing factors that could have contributed to these various changes.en_US
dc.fullTextLevelFull Texten_US
dc.identifier.doi10.5152/ThoracResPract.2023.22231
dc.identifier.issn2979-9139
dc.identifier.pmid37581375en_US
dc.identifier.scopus2-s2.0-85171970789en_US
dc.identifier.urihttps://hdl.handle.net/11411/5254
dc.identifier.urihttps://doi.org/10.5152/ThoracResPract.2023.22231
dc.identifier.wosWOS:001105092700003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.issue5en_US
dc.language.isoenen_US
dc.nationalInternationalen_US
dc.numberofauthors5en_US
dc.pages253-261en_US
dc.relation.ispartofTHORACIC RESEARCH AND PRACTICEen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCOVID-19en_US
dc.subjectair pollutionen_US
dc.subjectstringency indexen_US
dc.titleCorrelation Between Daily PM10, Nitrogen Dioxide, and Ozone Measurements with the Stringency Index in 15 Different Districts of a Big Metropolis
dc.typeArticle
dc.volume24en_US

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