Application of GM (1,1) model in PM2.5 content prediction

In recent years, the frequent occurrence of fog and haze weather phenomenon, and the governance of the haze are more difficult. In order to reduce the harm caused by the PM2.5 content of the main components of its prediction research has gradually become a hot spot. In this paper, taking Changchun city as an example, using the grey theory GM (1, 1) to establish the prediction model, the PM2.5 content in the next 2 days in Changchun city was predicted. Experimental results show that the forecast effect is good, can be used as an effective method of fog and haze weather forecast.