灾害学2017，Vol.32Issue(2)：39-42,4.DOI:10.3969/j.issn.1000-811X.2017.02.007
基于小波变换的北京、上海等城市PM2.5浓度时空演化特征分析
Spatial and Temporal Evolution of PM2.5 Concentration in Beijing and Shanghai Based on Wavelet Transform
摘要
Abstract
The PM2.5 concentration series of five cities in Beijing, Shenyang, Shanghai, Guangzhou and Chengdu are selected and the spatial and temporal characteristics of PM2.5 concentration are analyzed by the method of wavelet transform.Based on the PM2.5 observation sequence of five cities, the missing value processing is carried out.Wavelet transform is used to decompose and reconstruct the PM2.5 concentration sequence, and the reconstructed PM2.5 concentration sequence is compared and analyzed.PM2.5 concentration showed a significant annual change characteristics, the PM2.5 concentration within the year, the highest concentration of PM2.5 in winter, summer PM2.5 concentration of the lowest;PM2.5 diurnal changes in the concentration of bimodal change;the South of the PM2.5 mass concentration is lower than the PM2.5 concentration in the north.关键词
小波变换/PM2.5浓度/时空演化/北京/上海/沈阳/广州/成都Key words
wavelet transform/PM2.5 concentration/spatial and temporal evolution/Beijing/Shanghai/Shen Yang/Guang Zhou/Cheng Du分类
资源环境引用本文复制引用
王勇,刘备,刘严萍..基于小波变换的北京、上海等城市PM2.5浓度时空演化特征分析[J].灾害学,2017,32(2):39-42,4.基金项目
河北省自然科学基金(D2015209024 （）
