Air Quality Correlation Analysis Based on Apriori Algorithm

Abstract

In recent years, air pollution has become an environmental issue of global concern. It not only affects human health, but also causes serious damage to the Earth's ecosystem. By analyzing the concentration values of various pollutants in the air and the air quality index (AQI) every hour, the most relevant components to the AQI can be identified. In this paper, Apriori association rule algorithm is applied to correlate various data in air quality monitoring to provide a new reference solution for solving environmental pollution problems in the future.