气候变化领域集成服务门户(CCPortal): Cluster Analysis of Submicron Particle Number Size Distributions at the SORPES Station in the Yangtze River Delta of East China

CCPortal

DOI	10.1029/2020JD034004
	Cluster Analysis of Submicron Particle Number Size Distributions at the SORPES Station in the Yangtze River Delta of East China
	Chen L.; Qi X.; Nie W.; Wang J.; Xu Z.; Wang T.; Liu Y.; Shen Y.; Xu Z.; Kokkonen T.V.; Chi X.; Aalto P.P.; Paasonen P.; Kerminen V.-M.; Petäjä T.; Kulmala M.; Ding A.
发表日期	2021
ISSN	2169-897X
卷号	126 期号:13
英文摘要	Submicron particles in polluted regions have received much attention because of their influences on human health and climate. A k-means clustering technique was performed on a data set of particle number size distributions (PNSD) that was obtained over more than 3 years in the Yangtze River Delta (YRD) region of East China. With simultaneous measurements of meteorological conditions, trace gases and aerosol compositions, seven clusters were categorized and interpreted. Cluster 1 and cluster 2, which accounted for 9.9% of the total PNSD data, were attributed to new particle formation (NPF) and vehicle exhaust emissions with different intensities; Cluster 3 and Cluster 4, which accounted for 10.5% of the total PNSD data, were related to the growth of nucleation mode particles; Cluster 5, which accounted for 37.9% of the total data, was attributed to the humid YRD background; and Cluster 6 and Cluster 7, which accounted for 41.6% of the total data set, were both pollution-related clusters with similar mass concentrations but completely different PNSD. Although the PM2.5 mass concentrations were somewhat similar, the particle number concentrations of the accumulation mode particles could vary by more than one order of magnitude from the urban background cluster to the pollution-related clusters. The cluster proximity diagram and conversion flow chart of clusters clearly show the influence of NPF and growth on haze, as well as the conversion between background and polluted conditions. This study highlights the importance of PNSD for understanding urban air quality and recommends the clustering technique for analyzing complex PNSD datasets. © 2021. American Geophysical Union. All Rights Reserved.
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/237154
作者单位	Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China; Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing University, Nanjing, China; Now at State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China; Now at Department of Environment and Resources, Zhejiang University, Hangzhou, China; Institute for Atmospheric and Earth Systems Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
推荐引用方式 GB/T 7714	Chen L.,Qi X.,Nie W.,et al. Cluster Analysis of Submicron Particle Number Size Distributions at the SORPES Station in the Yangtze River Delta of East China[J],2021,126(13).
APA	Chen L..,Qi X..,Nie W..,Wang J..,Xu Z..,...&Ding A..(2021).Cluster Analysis of Submicron Particle Number Size Distributions at the SORPES Station in the Yangtze River Delta of East China.Journal of Geophysical Research: Atmospheres,126(13).
MLA	Chen L.,et al."Cluster Analysis of Submicron Particle Number Size Distributions at the SORPES Station in the Yangtze River Delta of East China".Journal of Geophysical Research: Atmospheres 126.13(2021).