关键词:
空气质量
影响因素
多元线性回归分析
摘要:
随着工业化和城市化的快速发展,空气质量问题日益凸显,成为影响人们生活质量和社会可持续发展的重要因素,因此,研究空气质量的影响因素,对于改善空气质量、保护生态环境具有重要意义。本文旨在探讨影响重庆市空气质量的各个因素,选取重庆空气质量在线检测分析平台的相关数据,运用统计学方法进行预处理和深入分析,将PM2.5、PM10、SO2、NO2、CO及O3作为自变量,空气质量指数作为因变量,构建多元线性回归模型,研究其因素对空气质量的影响,并识别重庆市近一年来空气质量的主要污染物,从而提出改善空气质量的针对性建议,为重庆市进行空气质量的改善提供科学依据和策略。With the rapid development of industrialization and urbanization, air quality issues are becoming more and more prominent, and have become an important factor affecting people’s quality of life and the sustainable development of society. Therefore, it is of great significance to study the influencing factors of air quality in order to improve air quality and protect the ecological environment. The purpose of this paper is to discuss the various factors affecting air quality in Chongqing Municipality, and relevant data from the Chongqing Air Quality Online Detection and Analysis Platform have been selected. And this data was pre-processed and analyzed in depth using statistical methods. In this paper, the PM2.5, PM10, SO2, NO2, CO and O3 were used as independent variables, and the air quality index was used as the dependent variable to construct a multiple linear regression model to investigate the effects of their factors on air quality, and identify the main pollutants in the air quality of Chongqing Municipality in the past year, so as to put forward targeted recommendations to improve air quality, and provide a scientific basis and strategy for Chongqing Municipality to carry out air quality improvement.