中国31个主要城市空气质量的聚类分析和主成分分析

基于中国31个主要城市空气质量原始数据,进行处理之后得到PM2.5、PM10、SO2、CO、NO2、O3的月平均浓度以及质量等级优和良的天数,依据这些数据做聚类分析和主成分分析。结果表明：福州、海口、贵阳、昆明、拉萨5个城市的空气质量较好,石家庄、太原、济南、郑州、西安5个城市的空气质量较差;主成分中O3和SO2的负影响比较大,总体主成分结果是NO2对空气质量的影响最大。基于研究分析结果提出相应建议。

Clustering Analysis and Principal Component Analysis of Air Quality in 31 Major Cities Across the Country

Based on the original data of air quality in 31 major cities in China, the average monthly concentration of fine particulate matter, inhalable particulate matter, sulfur dioxide, carbon monoxide, nitrogen dioxide, ozone and the days with good quality grade were obtained. Based on these data, cluster analysis and principal component analysis were done. The conclusion is that the air quality of Fuzhou, Haikou, Guiyang, Kunming and Lhasa is high,and in Shijiazhuang, Taiyuan, Jinan, Zhengzhou and Xi''an is low.The negative effect of ozone and sulfur dioxide in the main component is large, and the overall main component result has the greatest effect of nitrogen dioxide on air quality. Corresponding suggestions are proposed based on the results of the research analysis.