Forecasting of sulfur dioxide emissions in China based on optimized DGM(1,1)

Abstract

Sulfur dioxide is an important source of atmospheric pollution. It is harmful to ecosystems, buildings and humans. Many countries are developing policies to reduce sulfur dioxide emissions. In this paper, prediction of China's sulfur dioxide emissions is studied by discrete grey model with fractional operators. The forecast result shows that the amount of sulfur dioxide emissions is steadily decreasing and the reduction policy in China is effective. According to the current trend, by 2020, the value of China's sulfur dioxide emissions will be only 86.843% of emissions in 2015.