Modeling of Ozone Interactions with Various Air Pollutants and Meteorological Factors Using Jaya and Teaching-Learning Based Optimization (TLBO) Algorithms

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dc.contributor.authorÖztürk, Nurcan
dc.date.accessioned2023-04-10T20:23:59Z
dc.date.available2023-04-10T20:23:59Z
dc.date.issued2020
dc.departmentRektörlük, Rektörlüğe Bağlı Birimler, Düzce Üniversitesi Dergilerien_US
dc.description.abstractOzone (O3), nitrogen oxides (NOx) and carbon monoxide (CO) concentrations and some meteorologicalparameters measured hourly have been analyzed to examine the interaction patters between O3 and NOx, CO, airtemperature, wind speed, relative humidity, and air pressure by taking into account the diurnal variations of themat urban site (Akçaabat ) in Trabzon. Variations of O3 levels have been modeled via Jaya and Teaching-LearningBased Optimization (TLBO) algorithms considering the effects of certain parameters (NOx and CO concentration,air temperature, wind speed, relative humidity, and air pressure) called as the independent variables. The accuracyof Jaya and TLBO methods has been determined and these methods have been carried out with four differentfunctions: quadratic, exponential, linear and power. Some statistical indices have been applied to evaluate theperformance of these models. In conclusion, it is shown that Jaya and TLBO algorithms can be used in theoptimization of the regression function coefficients in modelling some air pollutants interactions and the best-fitequation for each parameter is obtained from the quadratic function.en_US
dc.identifier.doi10.29130/dubited.682602
dc.identifier.endpage2050en_US
dc.identifier.issn2148-2446
dc.identifier.issue3en_US
dc.identifier.startpage2041en_US
dc.identifier.trdizinid390774en_US
dc.identifier.urihttp://doi.org/10.29130/dubited.682602
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/390774
dc.identifier.urihttps://hdl.handle.net/20.500.12684/11659
dc.identifier.volume8en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofDüzce Üniversitesi Bilim ve Teknoloji Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleModeling of Ozone Interactions with Various Air Pollutants and Meteorological Factors Using Jaya and Teaching-Learning Based Optimization (TLBO) Algorithmsen_US
dc.typeArticleen_US

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