A study on the influencing factors of ambient air quality index and its measures in Zhangye city

This study is based on the PM2.5, PM10, CO, NO2, SO2, O3, precipitation, and temperature data of Zhangye City from 2016 to 2022 and uses the factor analysis model and multiple regression analysis method to demonstrate the variable relationship between the environmental air quality index (AQI) and its factors in Zhangye City, aiming at understanding the relationship between air quality and its influencing factors. The results of the study show that the independent variables NO2, O3, precipitation, and temperature have a significant impact on the dependent variable AQI, and a multiple linear regression model is established, and the fitting degree of the regression equation is good. This study uses the latest data, which can more effectively reflect the actual situation of air quality in Zhangye City and the dynamic changes of influencing factors compared with previous studies. In addition, this study comprehensively considers the impacts of various air pollutants as well as meteorological factors such as precipitation and temperature on air quality and is able to reveal the complex relationship between air quality and its influencing factors more comprehensively and deeply.