PM2.5 prevention and control strategy and analysis of clean energy utilization

With the economy developing, the environment problems, especially about air quality, have been a hit problem. In the PM2.5 source analysis, coal combustion is one of the important factors in the formation of PM2.5 local source. In this paper, we build network model with PM2.5 data of 366 cities in China from January 2015 to June 2017. Specifically, we construct a symmetric correlation network by partial correlation coefficient and an asymmetric information transportation network by transfer entropy. Then the spatial and temporal characteristics of PM2.5 are studied through time-variant complex networks. Structural control theory of complex networks helps to find the control node sets, which provide suggestions to prevent PM2.5 pollution. Further, we analyze the national power data and the correlation analysis shows the clean energy ratio and PM2.5 concentration are strongly correlated. Finally, control strategy of clean energy for PM2.5 is provided.