Seasonal and Meteorological Variability of Total Suspended Particulate Matter (TSP) in the Semi-Urban Atmosphere of Bayburt: An Integrated Assessment Based on OpenAir, PCA, and HYSPLIT

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Özet

In this study, atmospheric Total Suspended Particulate Matter (TSP) concentrations in a semi-urban area of Bayburt Province were evaluated in terms of seasonal variation, temporal behavior with meteorological factors, and air-mass transport characteristics. TSP sampling was conducted using the active sampling method over 118 days during the cold and warm-seasons sampling campaign of 2022. A high-volume air sampler (HVAS) and glass fiber filters (GFFs) were used, and TSP concentrations were determined gravimetrically. The mean TSP concentration was 29.13 +/- 29.39 & micro;g/m(3) in cold-season sampling campaign and 43.69 +/- 27.62 & micro;g/m(3) in warm-season sampling campaign. According to standard tests, the seasonal difference was nominally statistically significant (p < 0.05; Cohen's d approximate to 0.51; Cliff's delta approximate to 0.38). However, this significance did not persist after adjusting for serial autocorrelation in the AR(1) model (p = 0.151). However, this comparison should be interpreted not as validated seasonal climatological data, but as a comparison between intermittent sampling studies conducted within a single calendar year. This is because the transition period from spring to summer was not included in the sampling, and the studies were not repeated from year to year. OpenAir analyses showed that high TSP concentrations were particularly associated with easterly and southerly airflows. No clear weekday/weekend difference was observed, although episodic increases occurred on several days. The first two principal components explained 77.8% of the total variance, while the high TSP loading on PC3 indicated complementary variability. NOAA-HYSPLIT backward air-mass trajectory analyses indicated regional transport pathways in most high-TSP episodes, whereas local atmospheric stagnation was prominent in one episode. Overall, the findings show that TSP variability in semi-urban areas should be evaluated together with seasonal-meteorological variability, potential local emission effects, and regional air-mass transport.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/bayburt/14294Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.3390/su181910228Yayıncı resmi DOI adresi
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Tam Kayıt
AlanDeğerDil
dc.contributor.authorPaloluoglu, Cihan
dc.contributor.authorAkmese Tarlan, Yasemin
dc.contributor.authorBayar, Serkan
dc.date.accessioned2026-10-29T19:15:41.521968077Z
dc.date.available2026-10-29T19:15:41.521968077Z
dc.date.issued2026-10
dc.description.abstractIn this study, atmospheric Total Suspended Particulate Matter (TSP) concentrations in a semi-urban area of Bayburt Province were evaluated in terms of seasonal variation, temporal behavior with meteorological factors, and air-mass transport characteristics. TSP sampling was conducted using the active sampling method over 118 days during the cold and warm-seasons sampling campaign of 2022. A high-volume air sampler (HVAS) and glass fiber filters (GFFs) were used, and TSP concentrations were determined gravimetrically. The mean TSP concentration was 29.13 +/- 29.39 & micro;g/m(3) in cold-season sampling campaign and 43.69 +/- 27.62 & micro;g/m(3) in warm-season sampling campaign. According to standard tests, the seasonal difference was nominally statistically significant (p < 0.05; Cohen's d approximate to 0.51; Cliff's delta approximate to 0.38). However, this significance did not persist after adjusting for serial autocorrelation in the AR(1) model (p = 0.151). However, this comparison should be interpreted not as validated seasonal climatological data, but as a comparison between intermittent sampling studies conducted within a single calendar year. This is because the transition period from spring to summer was not included in the sampling, and the studies were not repeated from year to year. OpenAir analyses showed that high TSP concentrations were particularly associated with easterly and southerly airflows. No clear weekday/weekend difference was observed, although episodic increases occurred on several days. The first two principal components explained 77.8% of the total variance, while the high TSP loading on PC3 indicated complementary variability. NOAA-HYSPLIT backward air-mass trajectory analyses indicated regional transport pathways in most high-TSP episodes, whereas local atmospheric stagnation was prominent in one episode. Overall, the findings show that TSP variability in semi-urban areas should be evaluated together with seasonal-meteorological variability, potential local emission effects, and regional air-mass transport.
dc.description.sponsorshipAtatrk University [FKP-2024-13313]
dc.description.sponsorshipBayburt University [2024/69008-1]
dc.identifier.articlenumber10228
dc.identifier.doi10.3390/su181910228
dc.identifier.eissn2071-1050
dc.identifier.issue19
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/14294
dc.identifier.volume18
dc.identifier.wosWOS:001904136500001
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofSUSTAINABILITY
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjecttotal suspended particulate matter (TSP)
dc.subjectsemi-urban air quality
dc.subjectmeteorological variability
dc.subjectOpenAir
dc.subjectprincipal component analysis (PCA)
dc.subjectNOAA-HYSPLIT
dc.subject.classificationGreen & Sustainable Science & Technology
dc.subject.classificationEnvironmental Sciences
dc.subject.classificationEnvironmental Studies
dc.subject.classificationScience & Technology - Other Topics
dc.subject.classificationEnvironmental Sciences & Ecology
dc.subject.otherAIR-POLLUTION
dc.subject.otherAMBIENT AIR
dc.subject.otherCOMPONENTS
dc.subject.otherTESTS
dc.titleSeasonal and Meteorological Variability of Total Suspended Particulate Matter (TSP) in the Semi-Urban Atmosphere of Bayburt: An Integrated Assessment Based on OpenAir, PCA, and HYSPLIT
dc.typeArticle
rdl.citation.openalex0
rdl.citation.wos0
rdl.oa.statusgold
rdl.oa.urlhttps://doi.org/10.3390/su181910228
rdl.scopus.quartileQ1
rdl.sdgSDG13
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)
rdl.wos.indexSocial Science Citation Index (SSCI)