小波方差分析北京市PM_(2.5)质量浓度序列周期特征  

Wavelet Variance Analysis on the Periodic Characteristic of PM_(2.5) Mass Concentration in Beijing

作　　者：周杰[1] 杨鹏[1] 吕文生[2] 刘阿古达木 刘俊秀[1] 

机构地区：[1]北京联合大学北京市信息服务工程重点实验室,北京100101 [2]北京科技大学土木与环境工程学院,北京100083

出　　处：《环境监测管理与技术》2016年第6期19-22,共4页The Administration and Technique of Environmental Monitoring

基　　金：北京市属高等学校高层次人才引进与培养--"长城学者"培养计划项目"基于无线传感器网络的城市空气质量实时监测系统研究"基金资助项目(CIT&TCD20130320)

摘　　要：为分析北京市大气污染物PM_(2.5)质量浓度的时间序列周期性,采用Morlet小波变换对PM_(2.5)质量浓度进行分析,利用小波方差估计该市PM_(2.5)日均质量浓度的主周期,并通过显著性检验。结果表明,北京市PM_(2.5)日均质量浓度主周期为180 d左右,为后续大气污染物PM_(2.5)时间序列研究提供参考。In order to analyze the time series periodicity of atmospheric pollutant PM_(2.5)mass concentration in Beijing,Morlet wavelet transform was used to analyze the PM_(2.5)concentration,and the primary period of average daily concentration of PM_(2.5)in Beijing was estimated by the wavelet variance,and had passed the significance test. The results show that the average daily concentration of PM_(2.5)in Beijing is 180 d,which provides a reference for the follow-up study of time series of atmospheric pollutants PM_(2.5).

关 键 词：小波变换 方差分析 PM2.5 时间序列 周期性 北京 

分 类 号：X513[环境科学与工程—环境工程]