摘要
PM2.5多次成为空气质量评价标准中的首要污染物,对PM2.5及其它5种污染物之间的相关性做定量相关性分析。由于污染物受地域和季节影响较大,对全年数据进行统计,无法正确地分析污染物之间的相关性。针对以上问题,选择合肥市2015年全年的PM2.5和PM10、O_3、CO、SO_2、NO_2的6项因素,并且将数据划分为春、夏、秋、冬四季,按季节对PM2.5及PM10、O_3、CO、SO_2、NO_2因素进行相关性分析讨论。结果表明,随着季节的变化,与PM2.5相关的首要污染物因素也在发生相应变化,相关性随季节变化特征明显。
The correlation between PM2. 5 and five other pollutants were analyzed quantitatively in this paper,and PM2. 5 has become the primary pollutant in air quality evaluation for many times. As contaminants are greatly affected by the region and the seasons,it is not accurate to analyze the correlation between pollutants through the date of the whole year. In view of the above problem,the six factors of PM2. 5,PM10,O3,CO,SO2,NO2 in Hefei in 2015 were chosen by this paper,and the data was divided into four seasons of spring,summer,autumn and winter,then the correlation analysis of PM2. 5,PM10,O3,CO,SO2 and NO2 were carried out according to season. The results showed that the primary pollutant factors related to PM2. 5 are also occurred with the change of seasons in the corresponding changes,and the correlation is obvious with seasonal changes.
作者
张怡文
倪标
郭傲东
费久龙
陈家丽
吴海龙
ZHANG Yi-wen;NI Biao;GUO Ao-dong;FEI Jlu-long;CHEN Jia-li;WU Hai-long(School of hffornlation Engineering, Anhui Xin Hua University, Hefei,230088, Anhui;The PLA Rocket Command College,Wuhan,430012, Hubei)
出处
《蚌埠学院学报》
2018年第2期19-22,共4页
Journal of Bengbu University
基金
安徽省高校自然科学重点项目(KJ2015A309)
关键词
PM2.5污染物
季节特征
气象影响因素
相关系数
PM2.5 pollutants
seasonal characteristics
meteorological factors
correlation coefficient