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基于聚类分析和主成分分析城市空气质量评价
Air Quality Evaluation of Cities Based on Cluster Analysis and Principal Component Analysis
【摘要】 随着城市化的发展,人们生活水平也日益提升,但空气质量并不乐观。空气质量问题成为我国面临的重点问题之一,影响着人们的生活与健康。针对全国重点城市空气质量问题,将空气质量各污染物的值与国颁标准值进行比较,采用聚类分析(K均值)、主成分分析、判别分析(费希尔判别法)对数据进行实验分析,得出影响空气质量的主要因素。
【Abstract】 With the development of urbanization,people’s living standard is increasing day by day,but air quality is still an issue. The air quality issue has become one of the key problems that the country has to face,because it affects the daily life and health of people. Regarding the air quality issue of national key cities,the air pollutants quantity values and national standard values were compared and analyzed by cluster analysis( K-Means),principal component analysis and discriminant analysis( Fisher method). The main factors that affect air quality were obtained.
【Key words】 cluster analysis; principal component analysis; discriminant analysis; air quality;
- 【文献出处】 淮阴工学院学报 ,Journal of Huaiyin Institute of Technology , 编辑部邮箱 ,2018年03期
- 【分类号】X823
- 【被引频次】15
- 【下载频次】2117