The Study Tabriz City Air Pollution Condition on the Basis of Principal Component Analysis (PCA)

Abstract

Nowadays rapid development of urbanization, population growth, industrialization, unorganized transport system and urban traffic and green space shortage have caused increase of air pollution concentration in cities, especially in large cities. Therefore, attention into air pollution and factors and causes of increased pollutant concentrations are very important. Hence the purpose of this paper is to identity the effective factors on air pollution at Namaz Square station in Tabriz city. Therefore, through of component analysis method, main components were determined in each season of year and by the application of multivariate regression model, main factors were defined. Results show that climatic factors (such as temperature, wind speed and direction) human factors (such as crowded population, green space shortage, high traffic, unsuitable roads) have the highest influence in the air pollution. Special attention therefore, to human factors can cause to the decrease of air pollution in urban central area

Keywords

• air pollution
• principal component analysis
• multivariate regression model
• tabriz city