Used Some Modelling Applications in Air Pollution Estimates

Abstract

Air Pollution is produced by airborne Sulphur dioxide (SO₂), particulate matter (PM), nitrogen oxides (NO_x) and ozone (O₃) of pollutants in the environment and defined as the level that will have a negative impact on human health. This pollution disrupts natural processes in the atmosphere and affects public health and comfort. In the developing world, industry and human population growth poses a risk in terms of environmental pollution. Therefore, it is important to estimate air pollution and measures taken in advance. Some modelling applications used for this purpose include the commonly used Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System models. In this study; compared different modelling programs with some gases which cause air pollution were estimated. The results were compared and try to select the most suitable modelling program.

Keywords

• Air pollution,modelling,ANN,ANFIS

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