DOI: 10.1016/j.atmosenv.2019.117215
论文题名: Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017
作者: Xu Y. ; Xue W. ; Lei Y. ; Huang Q. ; Zhao Y. ; Cheng S. ; Ren Z. ; Wang J.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 223 语种: 英语
英文关键词: 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
学科: CMAQ model
; Meteorological impact
; PM2.5 pollution
; Secondary inorganic aerosol
中文摘要: 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 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160529
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
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]. Atmospheric Environment,2020-01-01,223