Adaptive neuro-fuzzy based method for daily estimation of SO<sub>2</sub> concentration in city of Zonguldak
Y. Yildirim, M Bayramoglu, L Tecer, G Yalcin, C Borrego, S Incecik
proceeding (Uluslararası, Hakemli) | Yazar(lar): Y. Yildirim, M Bayramoglu, L Tecer, G Yalcin, C Borrego, S Incecik | Yıl: 2004 | Dergi/Kurum: AIR POLLUTION MODELING AND ITS APPLICATION XVI | İndeks: WOS.ISTP — Özet: Air pollution continues to be a major problem in many countries. Mathematical models are useful in rela
Air pollution continues to be a major problem in many countries. Mathematical models are useful in relating emissions to air quality under a variety of meteorological conditions and source emission concentrations over an urban area. Meanwhile, the forecasting capability of sophisticated models is limited to very large and complex terrains. In this study, adaptive neuro-fuzzy logic method has been proposed to estimate the impact of meteorological factors on SO2 pollution levels. The model forecasts satisfactorily the trends in SO2 concentration levels, with performance between 78-90%.