Modeling of Some Air Pollutants Interactions With Meteorological Factors Using Teaching-Learning-Based Optimization (TLBO): A Case of Trabzon, Turkey

Öztürk N.

International Forestry & Environment Symposium, Trabzon, Türkiye, 7 - 10 Kasım 2017, ss.73

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.73
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Abstract 

In this work, ozone (O3), nitrogen oxides (NOx), and carbon monoxide (CO) concentrations and some meteorological parameters measured hourly from May 2016 to August 2017, have been analyzed in order to examine the interaction patterns between O3 and NOx, CO, air temperature, wind speed, relative humidity, and air pressure by taking into account the diurnal variations of them at the urban site (Akçaabat ) in Trabzon. Variations of O3 levels have been modeled via the TLBO method considering the effects of certain parameters (NOx and CO concentration, air temperature, wind speed, relative humidity, and air pressure) called the independent variables. The accuracy of the TLBO method has been determined and these methods have been applied to four different functions: quadratic, exponential, linear, and power. Some statistical indices (mean square error, root mean square error, mean absolute error, mean absolute percentage error, and determination coefficient) have been used to evaluate the performance of these models. The TLBO method with quadratic forms has obtained better predictions. As a result, it is shown TLBO can be used for optimization of the regression function coefficients in modeling some air pollutants interaction.

Keywords: Air pollution, ozone concentration, TLBO algorithm, modeling.