福建省主要大气污染物分布研究
Investigation of the distribution of main air pollutants of Fujian Province in China

针对我国当前大气环境污染严重问题，以福建省为研究对象，对福建省2015年大气污染物中的PM2.5、 PM10、 SO2、 NO2、 CO和O3之间错综复杂的关系进行综合分析，并运用多变量统计分析方法中的因子分析法，将这些复杂关系进行处理以归结为少数的主因子. 结果显示，福建省目前主要的大气污染物为PM10. 因子分析结果表明，原生大气污染物如PM和SO2等自聚合成一类称为第1个主因子，主因子中的PM10和PM2.5贡献度最大；O3之类的二次污染物构成第2个主因子. 所讨论及建立的大气污染物之间的相关关系和所生成的因子模型，将有利于综合分析判断福建省主要大气污染物分布，对于未来控制和改善大气空气质量等均具有重要意义.
In light of the current serious atmospheric pollution problems in China，such as hazardous haze and fog with main component of PM2.5，this paper explores the complicated association among the main air pollutants of the 9 cities in Fujian Province (Fuzhou，Xiamen，Quanzhou，Zhangzhou，Nanping，Sanming，Longyan，Ningde，and Putian cities). After collecting the data of the concentration of air pollutants PM2.5，PM10，SO2，NO2，CO and O3 from respective environmental monitoring stations of these nine cities in Fujian in 2015，this study applies factor analysis，which is one type of multivariate statistical methods，to investigate the complicated association of these air pollutants and reduce the data variability into two main factors. The results show that the first main factor (Factor 1) was comprised of primary air pollutants，such as PM and SO2. The concentration of PM10 and PM2.5 contribute the first and second for the primary air pollutants group，respectively. Besides，Factor 2 was mainly composed of ozone air pollutants，which are secondary air pollutants. The correlations and statistical models developed in this paper would help to explain the concentration distribution of main atmospheric pollutants in Fujian province，which is significant for the control and improvement of future air pollution problems