摘要
为了探究广州市PM_(2.5)污染特征及其与AQI的其他污染物的相关性,对广州市各监测点一年AQI数据做出PM_(2.5)质量浓度变化折线图,再运用K-均值聚类对11个监测点进行聚类分析,最后运用因子分析和偏最小二乘多元线性回归模型对AQI各污染物的相关性进行分析。发现广州市PM_(2.5)具有明显的夏季和非夏季两种季节性特征;帽峰山森林公园属于一类区,而市监测站PM_(2.5)污染情况最严重;PM_(2.5)与SO_2、NO_2、PM_(10)、CO相关性强,与O_3的相关性较弱。
Pollution characteristics of PM2.5in Guangzhou and its correlation with other pollutants of AQI were explored. Firstly, the AQI data were collected. Secondly,those data were drawn into PM2.5mass concentration change line chart. Thirdly,K-means clustering was used for clustering analysis of 11 monitoring sites.Finally, the corrdlation of each pollutant in the AQI was analyzed using factor analysis and partial least squares multivariate linear regression model. The results showed as follows: 1)there were obviously two seasonal characteristics of summer and non-summer about PM2.5in Guangzhou; 2)Peak Mountain Forest Park belongs to the type of A area, at the same time, the PM2.5pollution of the municipal monitoring station was the most severe area; 3)PM2.5had strong correlation with SO2, NO2, PM10 and CO, while relatively weak correlation with O3.
出处
《科教文汇》
2016年第10期189-192,共4页
Journal of Science and Education
基金
2014年广东药学院国家级大学生创新创业训练计划项目(201410573014)
广东药学院"创新强校工程"资助项目