An understanding of pollution sources and emissions,
and their interactions with terrain and the atmosphere is the most important
step in developing appropriate air pollution management plans and action
strategies. In this study, relationship between sulphur dioxide (SO2)
concentration and meteorological parameters such as wind direction, wind speed,
temperature, air pressure, precipitation, sunshine amount, sunshine duration,
and relative humidity is modeled by using winter season data. Since the
relation between SO2 concentrations and many meteorological
parameters is complex, an artificial neural network (ANN) model is developed to
predict the SO2 levels. Wind direction is modeled as the combination
of two variables, which enables to appropriately define the wind direction. The
ANN model exhibited an R–squared value of 0.85
Konular | Mühendislik |
---|---|
Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 9 Kasım 2017 |
Yayımlandığı Sayı | Yıl 2017Sayı: 1 |