Study On Probability Estimation Of Haze Weather In Beijing Based On Cumulative Logistic Regression Model

Based on the meteorological data and PM2.5 concentration data in Beijing every three hours from January 1 to December 31, 2016, this paper establishes a cumulative logistic regression model of haze pollution probability analysis, and then analyses the main meteorological factors affecting haze weather in different seasons, estimating the probability of occurrence of haze weather at various levels under different meteorological factors. (paper)