气候变化领域集成服务门户(CCPortal): Pollution patterns and their meteorological analysis all over China

CCPortal

DOI	10.1016/j.atmosenv.2020.118108
	Pollution patterns and their meteorological analysis all over China
	Zhou L.; Zhang J.; Lu T.; Bao M.; Deng X.; Hu X.
发表日期	2021
ISSN	1352-2310
卷号	246
英文摘要	Fine particulate matter (PM2.5) and ozone (O3) are the two important pollutants because of their harmfulness. In addition to pollution emission level and location, meteorological factors affect the distribution of extreme pollution, so analysing the weather fields under extreme pollution is of great significance to predict extreme pollution. In this study, based on PM2.5 and O3 atmospheric composition monitoring data from China National Environmental Monitoring Center (CNEMC) Network and daily meteorological data from Version 2 of Climate Forecast System of National Centers for Environmental Protection (NCEP) Climate Forecast System, the distribution types of wintertime PM2.5 and summertime O3 pollution in China from 2015 to 2019 were classified with Empirical orthogonal function (EOF) method, and the types of weather characteristics were analyzed, respectively. The results showed that the distribution of extreme pollution and the distribution of meteorological fields had a good correspondence. High PM2.5 was accompanied with high relative humidity (RH), higher temperature (T), low pressures (P) and low wind speeds (W). The two maximum centers of correlation coefficients between PM2.5 and the atmospheric circulation field were located on Siberia and the east of Japan. High O3 was accompanied with dry environments and higher temperature. O3 contaminated areas were accompanied with low pressures, while the correlation with wind speeds were not so significant. Ocean cyclones seriously affected O3 pollution levels in the south and along the coast. The two maximum centers of correlation coefficients between O3 mass concentration and 500 hPa geopotential height were located on the east of Lake Baikal and southern China. The relevant indexes established in the key areas had all passed the significance test and had an indicative significance for forecasting the pollution level. We believe that the apparent correlations between PM2.5(O3) and RH, T, as well as W related to the external factors associated with the life cycle of midlatitude mesoscale weather system, rather than the underlying direct internal cause. © 2020 Elsevier Ltd
关键词	China Meteorological patterns Pollution patterns Summertime O3 Wintertime PM2.5
语种	英语
scopus关键词	Atmospheric composition; Atmospheric humidity; Forecasting; Lakes; Orthogonal functions; Storms; Wind; Atmospheric circulation; Correlation coefficient; Empirical orthogonal function methods; Environmental Monitoring; Fine particulate matter (PM2.5); High relative humidities; Meteorological analysis; Meteorological factors; Lake pollution; air quality; atmospheric circulation; atmospheric pressure; geopotential; meteorology; ozone; particulate matter; relative humidity; wind velocity; article; China; climate; correlation coefficient; environmental monitoring; environmental protection; forecasting; humidity; hurricane; hypobarism; Japan; life cycle; particulate matter 2.5; Russian Federation; sea; seashore; statistical significance; wind speed; writing; China; Japan; Lake Baikal; Russian Federation; Siberia
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248663
作者单位	College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China; The College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
推荐引用方式 GB/T 7714	Zhou L.,Zhang J.,Lu T.,et al. Pollution patterns and their meteorological analysis all over China[J],2021,246.
APA	Zhou L.,Zhang J.,Lu T.,Bao M.,Deng X.,&Hu X..(2021).Pollution patterns and their meteorological analysis all over China.ATMOSPHERIC ENVIRONMENT,246.
MLA	Zhou L.,et al."Pollution patterns and their meteorological analysis all over China".ATMOSPHERIC ENVIRONMENT 246(2021).