北京PM2.5和PM10浓度变化特征分析

Analysis of the Variation Characteristics for Beijing PM2.5 and PM10

本文基于Daubechies小波变换方法,对北京市PM2.5日平均浓度时间序列和PM10日平均浓度时间序列进行研究,分析它们的年变化规律和突变特性,并对PM2.5浓度和PM10浓度时间序列的年变化规律进行比较。小波变换对于研究空气污染指数时间序列的变化规律是可行和有效的,研究结果期望为北京市的大气环境治理提供决策支持。

This paper analyzed the variation law and mutation characteristics of PM2. 5 and PM10 in Beijing city by Daubechies wavelet transform method, and a simple comparison is made between them. The wavelet transform method is feasible and effective for studying the variation law of the air pollution index time series, and results in this paper can provide decision support for Beijing＇s atmospheric environmental governance.