摘要
对苏州市区2011年至2015年SO_2、NO_2、O_3、PM_(10)、PM_(2.5)、CO的大气污染情况开展了时间序列分析。基于KZ滤波方法分析了苏州市区大气污染物季节成分时间序列以及长期趋势成分时间序列的变化特征。通过交叉小波分析,对典型污染物时间序列间的一致性和相关性进行了研究。研究发现在各时间尺度下,CO与NO_2以及SO_2与PM_(2.5)浓度变化呈显著的正相关,因此机动车源和燃煤源可能对苏州市区大气污染造成了较大贡献。
In this paper,a time- series analysis was applied to the atmospheric pollution situations concerning SO_2,NO_2,O_3,PM_(10),PM_(2. 5) and CO in the downtown of Suzhou,from 2011 to 2015. Based on the KZ filter,the character of seasonal component and trend- term component time series of the atmospheric pollutants concentrations were analyzed. By the method of Cross- Wavelet Analysis,the correlation and coherency between the time series of typical pollutants were studied,and found on varies time scales,the time series of CO and SO_2 concentrations were significantly positively correlated with those of NO_2 and PM_(2. 5) respectively,which meant the vehicle exhaust and coal burning might be among the major contributors of the atmospheric pollution in Suzhou during the last 5 years.
出处
《污染防治技术》
CAS
2016年第2期1-4,共4页
Pollution Control Technology
基金
苏州市科技支撑计划项目(SS201524)
关键词
大气污染
KZ滤波
交叉小波分析
苏州市区
atmospheric pollution
KZ Filter
cross-wavelet analysis
downtown area of Suzhou