Modeling of Ozone Interactions with Various Air Pollutants and Meteorological Factors Using Jaya and Teaching-Learning Based Optimization (TLBO) Algorithms
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Tarih
2020
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info:eu-repo/semantics/openAccess
Özet
Ozone (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.
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Kaynak
Düzce Üniversitesi Bilim ve Teknoloji Dergisi
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Cilt
8
Sayı
3
