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中文摘要：
对2014年上海市大气监测国控点的PM2.5浓度数据进行统计分析和聚类分析。统计分析结果表明，上海市PM2.5浓度冬春季高，夏秋季低，按月呈U形分布，且上海市大气PM2.5浓度在空间上总体趋势呈西高东低。利用MATLAB的聚类分析结果表明上海市的10个监测站可分为4类：1）跨省传输影响显著的青浦淀山湖站；2）受海洋大气影响显著的浦东川沙站；3）不稳定的过渡类，其包括杨浦四漂和浦东张江监测站；4）受本地排放影响显著的中心城区类，其包括普陀、十五厂（卢湾师专附小）、徐汇上师大、虹口凉城、静安和浦东新区监测站。本文聚类分析结果揭示了上海不同地理位置的大气PM2.5浓度的相互关系。
英文摘要：
Statistical analysis and clustering analysis of observed daily PM2.5 concentrations in 2014 were conducted for Shanghai using Matlab software. The results indicated that PM2.5 concentrations were higher in spring and winter, than those in summer and autumn, The annual distribution of PM2.5 concentrations showed U-shape. Spatial distribution showed that PM2.5 concentrations were higher in the west while they were lower in the east. According to results of the clustering analysis,Ten monitoring sites in shanghai could be grouped into 4 group scategories：1）The Dianshan Lake site in Qingpu whose PM2.5 concentrations wereis significantly influenced by the cross-provinciale transportation;2）The Chuansha site in Pudong whose PM2.5 concentrations wereis easily diluted by clean wind from ocean;3）Unstable and interim sites,including Sipiao site in Yangpu and Zhangjiang sites in Pudong;4）The central urban area group whose PM2.5 concentrations were significantly impacted by local emission, including Putuo site, Shiwu factory（School of Luwan Normal College） site, Shanghai Normal University site in Xuhui, Liangcheng site in Hongkou, Jing＇an site and site of Pudong New Area. The clustering analysis results revealed the inter-relationship of the PM2.5 concentrations among these monitoring sites in shanghai.
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