Evaluating the impact of unmanned aerial vehicles (UAVs) on air quality management in smart cities: A comprehensive analysis of transportation-related pollution

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dc.authoridhttps://orcid.org/0000-0003-2092-1168en_US
dc.authorscopusid57422204200en_US
dc.authorwosidCEZ-1835-2022en_US
dc.contributor.authorBakırcı, Murat
dc.date.accessioned2024-08-27T10:46:51Z
dc.date.available2024-08-27T10:46:51Z
dc.date.issued2024en_US
dc.departmentFakülteler, Havacılık ve Uzay Bilimleri Fakültesi, Havacılık ve Uzay Mühendisliği Bölümüen_US
dc.description.abstractUrban environments face significant air pollution challenges affecting health and sustainability. Using unmanned aerial vehicles for air quality monitoring offers a promising solution. This research aims to improve these vehicles' ability to identify pollution sources and develop strategies, with a focus on transportation-related pollution. Detailed air pollution tests revealed that pollutant concentrations surged during morning rush hours, especially in high-traffic coastal areas, while areas away from traffic had much lower levels. Evening tests showed that pollutants from daytime traffic had dispersed throughout the urban area. The consistent northward shift in pollutant concentrations underscored the link between traffic patterns and pollutant distribution. Quantitative analyses and the resulting air pollutant maps showed average increases in pollutant concentrations between morning and evening hours in high-traffic areas: 12.1% for NO2, 5.3% for CO, 9.8% for PM10, and 11.4% for PM2.5. In contrast, the increases in pollutant concentrations in less trafficked urban regions were 45.9%, 48.2%, 32.7%, and 29.5%, respectively. This demonstrates how air pollution originating from areas with heavy traffic impacts other regions through environmental and geographical factors. The findings underscore the need for comprehensive air quality management strategies at the city level, targeting emissions in high-traffic areas and adapting to temporal fluctuations in pollutant levels.en_US
dc.identifier.citationBakırcı, M. (2024). Evaluating the impact of unmanned aerial vehicles (UAVs) on air quality management in smart cities: A comprehensive analysis of transportation-related pollution, Computers and Electrical Engineering,119. Erişim adresi: https://doi.org/10.1016/j.compeleceng.2024.109556en_US
dc.identifier.doi10.1016/j.compeleceng.2024.109556en_US
dc.identifier.endpage21en_US
dc.identifier.scopus2-s2.0-85200962132en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1016/j.compeleceng.2024.109556
dc.identifier.urihttps://hdl.handle.net/20.500.13099/369
dc.identifier.volume119en_US
dc.identifier.wosqualityQ1en_US
dc.institutionauthorBakırcı, Murat
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofComputers and Electrical Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAir pollutionen_US
dc.subjectPollution controlen_US
dc.subjectSmart cityen_US
dc.subjectTransportation-based pollutionen_US
dc.subjectUnmanned aerial vehicleen_US
dc.titleEvaluating the impact of unmanned aerial vehicles (UAVs) on air quality management in smart cities: A comprehensive analysis of transportation-related pollutionen_US
dc.typearticleen_US

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