Air Quality Evaluation Method Based on Data Analysis

Abstract

In the existing environmental air quality evaluation index system, the AQI depends on the concentration of the dominant pollutant in the six types of air pollutants. However, the interaction among different pollutants and the effect of the combination of pollutants on AQI is rarely studied. In this paper, concentrations of six types of air pollutants and corresponding AQI of Tianjin in 2018 were taken as samples, and trained by Choquet integral. The Shapley interaction index of six types of pollutants are obtained by nonadditive measure. Based on the Shapley interaction index, the weights of six air pollutants on AQI and the interaction among different pollutants were analyzed. The results show that the main air pollutants in Tianjin in 2018 are PM2.5 and O3, and there is a negative interaction between them. Finally, the trained model is used to recalculate AQI of Tianjin in the first three months of 2019, providing a reference for air quality evaluation.