气候变化领域集成服务门户(CCPortal): Quantifying the Impact of Synoptic Weather Systems on High PM2.5 Episodes in the Seoul Metropolitan Area, Korea

CCPortal

DOI	10.1029/2020JD034085
	Quantifying the Impact of Synoptic Weather Systems on High PM2.5 Episodes in the Seoul Metropolitan Area, Korea
	Chang L.-S.; Lee G.; Im H.; Kim D.; Park S.-M.; Choi W.J.; Lee Y.; Lee D.-W.; Kim D.-G.; Lee D.; Kim Y.-W.; Kim J.; Ho C.-H.
发表日期	2021
ISSN	2169897X
卷号	126 期号:10
英文摘要	Variations in concentrations of PM2.5, particulate matters of diameters below 2.5 μm, vary following both meteorological conditions and emissions controls. Meteorological conditions particularly affect short-term high PM2.5 episodes through accumulations, transports, and secondary formations. This study quantifies the meteorological impacts on high PM2.5 episodes in the Seoul Metropolitan Area (SMA), Korea, for the period 2016–2018 using empirical and statistical methods. Synoptic weather maps of 77 high PM2.5 episodes in 2016 are grouped into two synoptic types: onshore winds associated with migratory pressure systems over the SMA and offshore winds from continental high pressure extending toward the SMA. We applied principal component analysis and regression to extract the dominant synoptic types controlling PM2.5 variability. It identifies two major principal components (PCs) from 12 surface and upper-air meteorological variables for 2017–2018. Weather patterns in 49 examples of the high-positive PCs show that the two PCs are capable of reproducing the synoptic weather patterns relevant for high PM2.5 episodes. To quantify the relationship between the synoptic weather patterns and PM2.5 levels, the two PCs are further classified into four groups according to their signs. Positive- and negative-PC groups are associated with about 82% and 73% of high- and low-PM2.5 episodes, respectively, suggesting that most of the high/low PM2.5 episodes in the SMA can occur under the two PCs-dominant weather conditions. The results can be utilized as a reference for daily predictions of high PM2.5 episodes, as well as for quantitative analysis of the climatic influence on the long-term PM2.5 variability. © 2021. The Authors.
英文关键词	high PM2.5 episodes; Korea; principal component analysis and regression; Seoul; synoptic weather patterns
语种	英语
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/185195
作者单位	National Institute of Environmental Research, Incheon, South Korea; School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea; Department of Atmospheric Sciences, Chungnam National University, Daejeon, South Korea; National Institute of Meteorological Sciences, Jeju, South Korea
推荐引用方式 GB/T 7714	Chang L.-S.,Lee G.,Im H.,et al. Quantifying the Impact of Synoptic Weather Systems on High PM2.5 Episodes in the Seoul Metropolitan Area, Korea[J],2021,126(10).
APA	Chang L.-S..,Lee G..,Im H..,Kim D..,Park S.-M..,...&Ho C.-H..(2021).Quantifying the Impact of Synoptic Weather Systems on High PM2.5 Episodes in the Seoul Metropolitan Area, Korea.Journal of Geophysical Research: Atmospheres,126(10).
MLA	Chang L.-S.,et al."Quantifying the Impact of Synoptic Weather Systems on High PM2.5 Episodes in the Seoul Metropolitan Area, Korea".Journal of Geophysical Research: Atmospheres 126.10(2021).