Mutation test and multiple-wavelet coherence of PM2.5 concentration in Guiyang, China
Li, Song1,4; Liu, Nanjian4,6,7; Tang, Linfeng3; Zhang, Fengtai5; Liu, Jinhuan4; Liu, Jinke2,7
刊名AIR QUALITY ATMOSPHERE AND HEALTH
2021-03-19
页码12
关键词Air quality PM2 .(5) Environmental factors BGSA Multiple-wavelet coherence
ISSN号1873-9318
DOI10.1007/s11869-021-00994-z
通讯作者Liu, Nanjian(launanjian@163.com)
英文摘要The negative effects of PM2.5 concentration in urban development are becoming more and more prominent. Bernaola-Galvan Segmentation Algorithm (BGSA) and wavelet analysis are powerful tools for processing non-linear and non-stationary signals. First, we use BGSA that reveals there are 41 mutation points in the PM2.5 concentration in Guiyang. Then, we reveal the multi-scale evolution of PM2.5 concentration in Guiyang by wavelet analysis. In the first part, we performed one-dimensional continuous wavelet transform (CWT) on the eight monitoring points in the study area, and the results showed that they have obviously similar multi-scale evolution characteristics, with a high-energy and significant oscillation period of 190-512 days. Next, the wavelet transform coherence (WTC) reveals the mutual relationship between the PM2.5 concentration and the atmospheric pollutants and meteorological factors. PM2.5 concentration variation is closely linked to that of PM10 concentration. But, it is not to be ignored that the increase in the SO2 and NO2 concentrations will cause the PM2.5 concentration to rise on different scales. Lastly, the variation of the PM2.5 concentration can be better explained by the combination of multiple factors (2-4) using the multiple-wavelet coherence (MWC). Under the combination of the two factors, the average temperature (Avgtem) and relative humidity (ReH) have the highest AWC and PASC. In the case of the combination of four factors, CO-Avgtem-Wind-ReH plays the largest role in determining PM2.5 concentration.
资助项目National Natural Science Foundation of China[41861035] ; Guizhou Province Education Department for Tip-top Talent of Science and Technology[Qianjiaohe KY [2016] 082] ; Guizhou Province Education Department for Tip-top Talent of Science and Technology[Qianjiaohe KY [2016] 223] ; Guizhou Province Science and Technology Agency[Qiankehe Zhicheng [2018] 2776] ; Guizhou Province Science and Technology Agency[Qiankehe Jichu [2016] 1112] ; Guizhou Province Science and Technology Agency[Qiankehe Jichu [2018] 1120]
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者SPRINGER
WOS记录号WOS:000630642600001
资助机构National Natural Science Foundation of China ; Guizhou Province Education Department for Tip-top Talent of Science and Technology ; Guizhou Province Science and Technology Agency
内容类型期刊论文
源URL[http://ir.ieecas.cn/handle/361006/16127]  
专题地球环境研究所_黄土与第四纪地质国家重点实验室(2010~)
通讯作者Liu, Nanjian
作者单位1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
2.Chinese Acad Sci, Northwest Inst Eco Environm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Tibet Plateau, Lanzhou 730000, Gansu, Peoples R China
3.Yunnan Normal Univ, Fac Geog, Kunming 650500, Yunnan, Peoples R China
4.Guizhou Prov Key Lab Watershed Geog Condit, Guiyang 550018, Peoples R China
5.Chongqing Univ Technol, Sch Management, Chongqing 400054, Peoples R China
6.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China
7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Li, Song,Liu, Nanjian,Tang, Linfeng,et al. Mutation test and multiple-wavelet coherence of PM2.5 concentration in Guiyang, China[J]. AIR QUALITY ATMOSPHERE AND HEALTH,2021:12.
APA Li, Song,Liu, Nanjian,Tang, Linfeng,Zhang, Fengtai,Liu, Jinhuan,&Liu, Jinke.(2021).Mutation test and multiple-wavelet coherence of PM2.5 concentration in Guiyang, China.AIR QUALITY ATMOSPHERE AND HEALTH,12.
MLA Li, Song,et al."Mutation test and multiple-wavelet coherence of PM2.5 concentration in Guiyang, China".AIR QUALITY ATMOSPHERE AND HEALTH (2021):12.
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