Forecasting air quality considering the socio-economic development in Xingtai

Abstract

Air quality has deteriorated in many areas of China. To discuss the impact of the socio-economic factors on air quality and improve air quality in a small city, this article firstly uses the grey correlation analysis method to rank the impact of social-economic factors on Xingtai's air quality. Then, considering the different growth rates of the socio-economic factors, the grey multivariate convolution model is developed to predict the comprehensive air quality index in Xingtai. The results show that the industry has less adverse impact on air quality than the construction industry, and the tertiary industry has positive impact on air quality. The vehicle population and resident population all have adverse impact on air quality. According to the results, it is suggested to change the development direction from construction industry to the industry.