Analysis of Influencing Factors of Air Quality in Shijiazhuang Based on Multiple Linear Regression Model

DOI: https://doi.org/10.62517/jiem.202503101

Author(s)

Faye Wang*

Affiliation(s)

School of Business, Shandong Normal University, Jinan, Shandong, China *Corresponding Author.

Abstract

The main purpose of this report is to find out the main factors affecting the air quality in Shijiazhuang by analyzing the air quality data of Shijiazhuang in 6 years (2018-2023). In recent years, with the acceleration of industrialization and urbanization, air pollution has become increasingly serious in Shijiazhuang. By using multiple linear regression model, this study analyzed the effects of PM2.5, PM10, SO2, CO, NO2 and O3_8h on AQI (air quality index), and revealed the contribution of each pollutant to air quality. The results of the regression model showed that PM2.5 was the most important factor affecting air quality, and its change was positively correlated with AQI. Secondly, the effects of PM10, CO and O3_8h are also significant, which aggravate the air pollution in Shijiazhuang to a certain extent. Although NO2 and SO2 also have a certain impact on AQI, their impact is smaller than other factors. Through the analysis of these pollutants, this report provides data support and theoretical basis for urban air quality management and pollution source control.

Keywords

AQI; PM2.5; PM10; CO; O3_8h

References

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