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dc.contributor.authorÖzkal, Can Burak
dc.date.accessioned2023-05-06T17:19:38Z
dc.date.available2023-05-06T17:19:38Z
dc.date.issued2023
dc.identifier.issn1309-1042
dc.identifier.urihttps://doi.org/10.1016/j.apr.2023.101734
dc.identifier.urihttps://hdl.handle.net/20.500.11776/11899
dc.description.abstractOdor pollution is a primary environmental problem and the most frequent public complaint. The emission levels of air pollutants, the distance of emission sources from residential areas, and topography and other geographical and meteorological conditions influence the level and intensity of air and odor pollution. Owing to the lack of standard management approaches, citizen survey studies supported by geographic information systems have become critical in collecting odor observation data in the immission site. In this study, FIDOL (frequency, intensity, duration, odor tone, and location) factor-based annual odor observation data were collected, using the Çorlu KODER mobile application. Statistical analysis determined whether meteorological factors affected the average daily number of odor observations (NOOs) throughout the year. Temperature was the meteorological factor with the most significant effect on the increase in average daily NOOs. Furthermore, it was determined whether the Hybrid Single-Particle Lagrangian Integrated Trajectory model estimated the mixed layer height (MLH) and relative humidity (RH) parameters that significantly affected the average daily NOOs during August 2021–October 2021. This period was considered critical because over 80% of the annual NOOs occurred within this timeframe. MLH, RH, and MLH–RH significantly affected the average daily NOOs. Analysis using the Sturges classification revealed that odor observations were mainly intensified under low RH and MLH conditions. I In addition, the frequency of odor episodes increased under low MLH conditions. Seven consecutive odor episodes between August and October 2021 were further analyzed, considering the spatial and temporal distribution of odor observations, MLH and RH values, and back-trajectory findings. Analysis based on the air pollutant transport mechanism suggested that almost all of the odor episodes experienced in Çorlu within the study period were related to emissions from the organized industrial zone (OIZ) regions. The findings suggest that emissions from the OIZs located in the north-east and north of Çorlu have a more intense effect on odor observations in Çorlu residential areas. © 2023 Turkish National Committee for Air Pollution Research and Controlen_US
dc.description.sponsorshipArmy Research Laboratory, ARL; Tekirdağ Namık Kemal Üniversitesi, TNKU: 2019/127en_US
dc.description.sponsorshipAs the author of the study, I would like to acknowledge that the so-called “Çorlu Koder” mobile application and project has been developed and is carried out according to the project collaboration between The Çorlu Faculty of Engineering at Tekirdag Namık Kemal University and The Municipality of Çorlu based on the municipality parliament act no: 2019/127. Also the project group, consisting of faculty members Professor Lokman Hakan TECER, Research assistant Burak SEVİNÇ and students Hasan ÖZER and Muhammed AKYÜZLÜ are kindly introduced at http://orlukoder.com website and are kindly acknowledged for their role and contribution. The authors gratefully acknowledge the NOAA Air Resources Laboratory (ARL) for the provision of the HYSPLIT transport and dispersion model and/or READY website (https://www.ready.noaa.gov) used in this publication. Also, authors would like to thank to Directorate of Tekirdag Meteorology station for their support and approval on providing meteorological data.en_US
dc.language.isoengen_US
dc.publisherElsevier B.V.en_US
dc.identifier.doi10.1016/j.apr.2023.101734
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAir pollutionen_US
dc.subjectBack-trajectoryen_US
dc.subjectCitizen odor observationsen_US
dc.subjectMixed layer heighten_US
dc.subjectOdor pollutionen_US
dc.titleAnalysis of annual citizen odor observation records and its relationship with meteorological factors: Çorlu / Tekirdağ case studyen_US
dc.typearticleen_US
dc.relation.ispartofAtmospheric Pollution Researchen_US
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.identifier.volume14en_US
dc.identifier.issue5en_US
dc.institutionauthorÖzkal, Can Burak
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid57185816500
dc.identifier.scopus2-s2.0-85151332716en_US


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