基于主成分分析法的城市大气主要污染物关系研究  

Study on the relationship of city primary air pollutants based on principal component analysis method

作　　者：王晓丽[1] 刘畅[1] 关文玲[1] 

机构地区：[1]天津理工大学环境科学与安全工程学院,天津300384

出　　处：《天津理工大学学报》2015年第2期20-23,共4页Journal of Tianjin University of Technology

摘　　要：大气污染物是造成城市居民呼吸系统疾病高发的重要原因,研究城市大气主要污染物关系有助于有关部门采取针对性的治理措施.调查16个城市大气污染现状,借助SPSS软件,采用主成分分析法,对SO2、NO2、PM10、PM2.5、CO、O3等6个大气主要污染物数据进行分析计算.提取占总方差84.364%的2个因子来反映空气的污染程度,分别为:1)PM2.5、PM10、CO和SO2;2)O3.主成分分析法可以准确探讨出空气各污染物的内在关系,该结果有助于为环保部门的治理工作提供参考.Air pollutants is a important role in the high incidence of respiratory diseases in urban residents, research the relationship of the city primary air pollutants can help the relevant departments to take corresponding control measures. Survey the air pollution status of 16 cities with the help of SPSS software,SO2,NO2,PM10,PM2.5,CO and O3 were analyzed and calculated using the principal component analysis. The two factors that account for 84.364% of the total variance were extracted to reflect the degree of air pollution, and two principal component factors were identified：1） PM2.5,PM10, CO and SO2; 2） O3.Principal component analysis can accurately investigate the intrinsic relationship of each air pollutant, the results help to provide a reference for the environmental protection department to manage.

关 键 词：大气污染物 主成分分析 相关关系 

分 类 号：X169[环境科学与工程—环境科学]