南京颗粒物时间序列相关性及其成因分析研究

以南京2014年2月到5月的PM2．5、PM10日平均值和气象要素观测资料为例，根据Pearson相关系数和双尾检验显著性水平对其逐日时间序列进行相关性分析。结果表明：南京2014年2月到5月PM2．5、PM10与前2日质量浓度值呈正相关性，但两者与前3日、前4日质量浓度值都没有明显线性相关性；PM10较PM2．5相关性更强。在此基础上，从PM2．5、PM10成分来源等方面，阐述了该结论产生的原因。

Analysis on Correlativity and Cause of Particulate Matter Using Time Series Method and in Nanjing

Based on average daily PM2.5 and PM10 mass concentrations and meteorological elements of Nanjing from February to May in 2014, this paper analyses the correlation relationship of the daily PM2.5 and PM10 time series using Pearson correlation coeffi-cient and significance level of two -tailed test.The results indicated that the PM2.5 and PM10 daily average concentrations have sig-nificantly positively correlation with their daily average concentrations two days ago , but do not have significantly linearity correlated with their daily average concentrations three days ago, moreover, concentration of PM10 was greater than that of PM2.5 .Explanations for the results were given according to the formation and meteorological data , from the aspects of composition and source , etc.