基于数据分析的2019~2020北京市空气质量影响因素分析

Analysis of Influencing Factors of Air Quality in Beijing from 2019 to 2020 Based on Data Analysis

摘要: 本文通过对收集到的记录有AQI指数与二氧化硫、二氧化氮、PM10、PM2.5、一氧化碳和臭氧浓度的数据进行了描述性分析，并建立多元线性回归模型从而来得到六种物质与空气质量指数之间的关系，为空气质量改善提供学术依据。研究结果“两尘四气”两两变量之间大多具有明显的相关性，其中臭氧对AQI指数升高即空气污染程度增大具有最显著的影响，通过此研究结果本文认为在空气治理时应着重关注臭氧浓度的变化及其升高原因，从而得到更全面的科学治理策略。

Abstract: In this paper, we make a descriptive analysis of the collected AQI index, sulfur dioxide, nitrogen dioxide, PM10, PM2.5, carbon monoxide and ozone concentration data, and establish a multiple linear regression model to obtain the relationship between six substances and air quality index, and provide an academic basis for air quality improvement. The results “two dust four gas” has obvious correlation between two variables, including the AQI index of the air pollution degree has the most significant effect, through this study results in this paper that in air management, attention should be paid to the change of ozone concentration and its rise, so as to get a more comprehensive scientific management strategy.