基于主成分分析法对河南省大气主要污染物关系的研究  

Study on the Primary Air Pollutants of City in Henan Province Based on Principal Component Analysis

作　　者：王明仕[1] 曹景丽[1] 桂晨露 宋党育[1] WANG Mingshi;CAO Jingli;GUI Chenlu;SONG Dangyu(Institute of Resource and Environment,Henan Polytechnic University,Jiaozuo 454003,China)

机构地区：[1]河南理工大学资源环境学院,河南焦作454003

出　　处：《郑州大学学报（理学版）》2018年第2期122-126,共5页Journal of Zhengzhou University:Natural Science Edition

基　　金：国家自然科学基金项目(41272173)

摘　　要：以2015年河南省17个城市为研究对象,借助统计产品与服务解决方案(statistical product and service solutions,SPSS)软件对数据进行计算,运用主成分分析法对大气主要污染物数据进行分析.依据计算分析结果,提取占总方差85%以上的3个因子来反映空气的污染程度:1)PM_(10)、NO_2.2)CO、O_3.3)PM_(2.5)、SO_2.第一主成分的贡献率为52.049%;第二主成分的贡献率为25.306%;第三主成分的贡献率为13.947%.相关性分析发现:SO_2、NO_2与PM_(2.5)和PM_(10)的相关性显著,表明这几种污染物具有相似的来源;CO和O_3呈现出一定的负相关性,可能由于CO和O_3均是光化学反应的重要参与物质,这也表明河南省存在一定程度的光化学污染.分析结果将有助于为环保部门大气污染物的治理工作提供参考.The SO 2,NO 2,PM 10,PM 2.5,CO,O 3 in 17 cities of Henan Province were analyzed and calculated using the principal component analysis.Three factors that account for 85%of the total variance were extracted to reflect the degree of air pollution.Then three principal component factors were identified 1)PM 10,NO 2;2)CO,O 3;3)PM 2.5,SO 2.Three principal component contribution rates were 52.049%,25.306%,13.947%respectively.Correlation analysis revealed that significant relationship among PM 2.5,PM 10,SO 2,NO 2,and which illustrated that they might share a similar pollution sources.O 3 and CO had a negative correlation.This might be due to they were the important participate in photochemical reaction,which showed that there was a certain degree of photochemical pollution in Henan province.The findings could be useful reference for the control of air pollutants in environmental protection.

关 键 词：主成分分析 大气污染物 相关性 

分 类 号：X5[环境科学与工程—环境工程]