Functional data analysis of air pollution in six major cities

Abstract

With the development of the economy, the problem of air pollution has become increasingly serious. This can be seen from the growth of haze in recent years. The main components of "fog and haze" are sulfur dioxide, nitrogen oxides, and particulate matters. And we call the particulate matters with diameters less than or equal to 2.5 micrometers PM2.5. This paper uses the PM2.5 indexes of the six major cities, Zhengzhou, Tangshan, Jinan, Nanjing, Wuhan and Beijing as parameters in functional data analysis to determine its relationship with PM10, O3 and temperature. As a result, we found out the interactive and restrictive relationships of these four factors. Finally, we propose some suggestions toward the treatment of air pollution.