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SİVAS İLİNDE YAPAY SİNİR AĞLARI İLE HAVA KALİTESİ MODELİNİN OLUŞTURULMASI ÜZERİNE BİR UYGULAMA

An Aplication of Neural Networks Applied on Whether Quality of Sivas

Journal Name:

  • Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi

Publication Year:

  • 2007

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Air pollution is a growing problem arising from domestic heating, high density of vehicle traffic, and expanding commercial and industrial activities. Monitoring and forecasting of air quality parameters in the urban area are important due to health impact. Artificial intelligent techniques are successfully used in modelling of highly complex and non-linear phenomena. In this study, backpropagation neural network model has been proposed to estimate the impact of meteorological factors on SO2 pollution levels over an urban area. The model forecasts satisfactorily the trends in SO2 concentration levels, with performance 84–88%.
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Abstract (Original Language): 
Hava kirliliği, yoğun araç trafiği, şehirsel ısınma ve artan ticari ve endüstriyel aktiviteler sebebiyle büyüyen bir problemdir. Sağlık açısından, kentsel bölgelerdeki hava kalitesi parametrelerini takip etmek ve tahmin etmek önemlidir. Yapay Sinir Ağları teknikleri karışık ve doğrusal olmayan modellerde çok başarılıdır. Bu çalışmada Geri Yayılmalı Yapay Sinir Ağları modeli kullanılarak, SO2 kirlilik seviyesi üzerindeki meteorolojik ve diğer kirlilik parametrelerin, kentsel bölgedeki etkisi incelenmiştir. Tahmin modelinin performansı 84-88 % değerleri arasında kullanılan modele göre başarı sağlanmıştır.
FULL TEXT (PDF): 
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  • 1
97-112
  • Turkish

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