Correlation Analysis between Ozone and Other Atmosphere Characteristics

Abstract

The correlation between ozone and other atmosphere characteristics is important for air pollution analysis. It is complicated to model and analyse. In this paper, a correlation analysis method based on neural network and mean impact value (NN-MIV) is proposed. In NN-MIV correlation analysis method, the external correlation of key variable (ozone) and auxiliary variables (other atmosphere characteristics) is calculated by MIV and internal correlation is calculated by NN. By this means, stable correlations are obtained. The correlation value shows that ozone is most related to NO₂, followed by humidity, PM_2.5, temperature and pressure. The correlation result is then analysed and some valuable conclusions are presented. Finally, an NN correlation model (or soft sensing model) of ozone is constructed by the 5 most correlated variables and a good soft sensing result is obtained.