气候变化领域集成服务门户(CCPortal): Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017

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DOI	10.1016/j.atmosenv.2019.117215
	Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017
	Xu Y.; Xue W.; Lei Y.; Huang Q.; Zhao Y.; Cheng S.; Ren Z.; Wang J.
发表日期	2020
ISSN	1352-2310
卷号	223
英文摘要	Fine particulate matter (PM2.5) concentration that exceeds standards is causing poor air quality in most Chinese cities. Meteorological conditions are an important factor affecting PM2.5 concentration, but few quantitative studies have been conducted on the effects of long-term and large-scale changes in meteorological factors on PM2.5 pollution. In this study, a Weather Research and Forecasting/Community Multiscale Air Quality (WRF/CMAQ) modeling system was applied to study the spatial and temporal distributions of the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017. During the study period, Me-PM2.5 decreased in general (P = 0.0018) in nationwide, and showed significant spatiotemporal variations. There was an overall increasing trend for Beijing, Fujian, Shaanxi, Gansu, and Qinghai provinces (P < 0.05) as the meteorological conditions deteriorated, and there was an overall negative trend for nine provinces (P < 0.05) which indicated meteorological conditions were causing a decrease in concentrations. Substantial differences in the impact of meteorological changes on PM2.5 pollution were observed across the provinces, with FMe-PM2.5 (fluctuating range of Me-PM2.5) between 9.3% and 55.1%. In addition, the best, typical, and worst meteorological years were selected based on Me-PM2.5; these should be considered when setting air quality goals and pollution control plans. © 2019
关键词	CMAQ model Meteorological impact PM2.5 pollution Secondary inorganic aerosol
语种	英语
scopus关键词	Air pollution control; Air quality; Cmaq models; Fine particulate matter (PM2.5); Meteorological impact; Pm2.5 pollutions; Secondary inorganic aerosol; Spatial and temporal distribution; Spatio-temporal variation; Weather research and forecasting; Weather forecasting; aerosol; air quality; atmospheric pollution; inorganic compound; particulate matter; pollution control; pollution incidence; spatiotemporal analysis; standard (regulation); aerosol; air quality; article; China; controlled study; forecasting; meteorology; pollution control; weather; Beijing [China]; China; Fujian; Gansu; Qinghai; Shaanxi
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/249358
作者单位	Center for Regional Air Quality Simulation and Control, Chinese Academy for Environmental Planning, Beijing, 100012, China; Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental & Energy Engineering, Beijing University of Technology, Beijing, 100124, China; School of Environment, Jinan University, Guangzhou, 510632, China; State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
推荐引用方式 GB/T 7714	Xu Y.,Xue W.,Lei Y.,et al. Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017[J],2020,223.
APA	Xu Y..,Xue W..,Lei Y..,Huang Q..,Zhao Y..,...&Wang J..(2020).Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017.ATMOSPHERIC ENVIRONMENT,223.
MLA	Xu Y.,et al."Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017".ATMOSPHERIC ENVIRONMENT 223(2020).