摘要
根据2017年1—6月滁州市3个国控监测点的空气质量监测数据,运用主成分分析法对6种污染物进行分析,得到污染物之间的关系及其对空气质量的影响。结果表明:2017年1—6月滁州市空气质量为轻度污染的等级出现频率最高,首要污染物为PM_(2.5)和O_3。通过主成分分析得到2个主成分,反映了SO_2、PM_(10)、NO_2、CO、PM_(2.5)等5种和O_3这1种污染物的信息,且CO、PM_(2.5)、O_3对滁州市空气质量起主导作用。空气质量相对较好的监测点是人大宾馆,相对较差的是老年大学,且各监测点的季节性污染特征较为明显,具有"夏季好,冬季差"的典型城市空气环境状况。
According to the air quality monitoring data of three national monitoring sites in Chuzhou City from Janu-ary to June 2017,the six components were analyzed using principal component analysis to obtain the relationship be-tween pollutants and their impact on air quality.The results showed that the air quality in Chuzhou City in January toJune 2017 had the highest frequency of light pollution,and the primary pollutants were mainly PM2.5 and O3.Two prin-cipal components are obtained by principal component analysis.The first principal component mainly reflects the in-formation of SO2,PM10,NO2,CO and PM2.5,and the second principal component mainly reflects the pollution of O3.The information of matter,and CO,PM2.5,O3 play a leading role in the air quality of Chuzhou City.Calculating thecomprehensive scores of principal components at each monitoring point in each month shows that the monitoringpoint with relatively good air quality is the National People’s Congress Hotel,and the relatively poor one is the olduniversity.The characteristics of seasonal pollution at various monitoring sites are relatively obvious,with typical ur-ban air environment conditions of"good in summer and poor in winter".
作者
张鑫童
Zhang Xintong(Meteorological Bureau of Chuzhou City, Chuzhou 239000, China)
出处
《安徽农学通报》
2018年第13期122-124,139,共4页
Anhui Agricultural Science Bulletin
关键词
滁州市
空气质量
变化特征
主成分分析
Chuzhou
Air quality
Change characteristics
Principal component analysis(PCA)