摘要
为研究湖北省各城市空气污染的特征和差异,基于函数型视角,以湖北省13个城市2018年10月21日至2019年10月20日大气NO 2和O 3日均浓度为研究对象,采用二元函数型主成分对NO 2和O 3两个污染气体指标进行分析。通过联合变异图详细呈现NO 2和O 3的联合主成分权函数变动情况,发现春夏两季NO 2的变动为其全年变异的主要方式,夏秋两季则为O 3变动的主要方式。再利用主成分得分对13个城市进行聚类,发现污染主要集中在平原地区。
In order to investigate the characteristics and differences of air pollution in various cities in Hubei Province,based on a new functional perspective,the daily average concentrations of NO2 and O3 in 13 cities in Hubei Province from October 21,2018 to October 20,2019 were taken as the research objects.The spatio-temporal variation of the two pollution indicators nitrogen dioxide and ozone were analyzed by using binary function principal component analysis.The joint principal component weight function changes of NO2 and O3 were presented in detail through the joint variation graph.It was found that the changes of nitrogen dioxide in spring and summer are the main ways of annual variation,and the main ways of ozone changes were in the summer and autumn.Then using the principal component score to cluster 13 cities,it was found that pollution is mainly concentrated in plain areas.
作者
魏玉
胡二琴
穆新宇
WEI Yu;HU Erqin;MU Xinyu(School of Sciences,Hubei Univ.of Tech.,Wuhan 430068,China)
出处
《湖北工业大学学报》
2021年第4期105-110,共6页
Journal of Hubei University of Technology
基金
湖北省教育厅科学技术研究计划青年人才项目(Q2017404)
湖北工业大学博士科研启动基金项目(BSQD2017072)。
关键词
函数型数据
臭氧
二氧化氮
二元函数型主成分分析
聚类
Functional data
ozone
nitrogen dioxide
binary functional principal component analysis
clustering
