Used Some Modelling Applications in Air Pollution Estimates

Year 2016, Volume: 11 Issue: 4, 418 - 425, 30.12.2016

Fatma Kunt , Zeynep Cansu Ayturan , Sukru Dursun

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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