Intraday and interday variations of 69 volatile organic compounds (BVOCs and AVOCs) and their source pro files at a semi-urban site

dc.authorid0000-0002-0506-0470en_US
dc.authorid0000-0001-9494-5053en_US
dc.authorid0000-0002-0107-0110en_US
dc.contributor.authorKarakaş, Serpil Yenisoy
dc.contributor.authorDörter, Melike
dc.contributor.authorOdabaşı, Mustafa
dc.date.accessioned2021-06-23T19:54:09Z
dc.date.available2021-06-23T19:54:09Z
dc.date.issued2020
dc.departmentBAİBÜ, Fen Edebiyat Fakültesi, Kimya Bölümüen_US
dc.description.abstractTo study the intraday and interday patterns and possible sources of volatile organic compounds (VOCs), 6-h active sampling was performed in April, May, June, July, and August 2017 and in January 2018 in a semi-urban site in Bolu, Turkey. Totally 69 VOCs having biogenic (BVOCs, i.e., isoprene, monoterpenes and oxygenated VOCs) and anthropogenic origins (AVOCs) were examined. Fifty-four of sixty-nine analyzed VOCs could be detected. Decanal followed by benzaldehyde, benzene, phenol, and toluene were detected as the leading anthropogenic VOCs whereas alpha-pinene and hexanal were the dominant biogenic VOCs. There was a decrease in concentrations of most of the VOCs in January and April when light intensity and temperature were relatively low. Atmospheric levels of total biogenic VOCs exceeded that of anthropogenic VOCs in all months except for January and April. Dependence of biogenic VOC emissions on the light intensity, temperature and the increase in leaves were considered to be effective in their higher levels in summer and daytime periods. The daytime anthropogenic VOCs concentrations were higher than the nighttime anthropogenic VOCs probably due to intense vehicle traffic during working hours and/or increased volatilization from their sources at elevated temperatures. The VOCs that significantly and negatively correlated with ozone were evaluated as effective BVOCs in the ozone formation while the maximum incremental reactivity (MIR) method gave the contribution of AVOCs. Positive Matrix Factorization (PMF) was applied for the source apportionment. G score graphs and G score pollution roses were also used to identify possible sources of investigated VOCs. Solvent evaporation, gasoline-powered vehicle emissions, fossil fuel (residential heating), biogenic (hornbeam, grass, oak, beech) emissions, diesel/domestic activities and forested city atmosphere were identified as the possible VOC sources in the study area. (C) 2020 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.scitotenv.2020.138028
dc.identifier.issn0048-9697
dc.identifier.issn1879-1026
dc.identifier.pmid32229382en_US
dc.identifier.scopus2-s2.0-85082401937en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.scitotenv.2020.138028
dc.identifier.urihttps://hdl.handle.net/20.500.12491/10436
dc.identifier.volume723en_US
dc.identifier.wosWOS:000535899100011en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorKarakaş, Serpil Yenisoy
dc.institutionauthorDörter, Melike
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofScience Of The Total Environmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject6-hourly Variationsen_US
dc.subjectAnthropogenic VOCsen_US
dc.subjectBiogenic VOCsen_US
dc.subjectSource Apportionmenten_US
dc.subjectPositive Matrix Factorizationen_US
dc.titleIntraday and interday variations of 69 volatile organic compounds (BVOCs and AVOCs) and their source pro files at a semi-urban siteen_US
dc.typeArticleen_US

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