DOI: 10.1016/j.atmosenv.2020.117377
论文题名: Impacts of meteorology and emission control on the abnormally low particulate matter concentration observed during the winter of 2017
作者: Xu X. ; Jiang Z. ; Li J. ; Chu Y. ; Tan W. ; Li C.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 225 语种: 英语
英文关键词: Air pollution
; Boundary layers
; Emission control
; Environmental management
; Meteorology
; Mixing
; Particles (particulate matter)
; Principal component analysis
; Ventilation
; Wind
; Beijing
; Circulation patterns
; Fine particulate matter (PM2.5)
; Large-scale circulation patterns
; Mixing layer height
; PM2.5
; Rotated principal components
; Weather research and forecasting
; Weather forecasting
; atmospheric pollution
; boundary layer
; climate conditions
; concentration (composition)
; emission control
; environmental management
; meteorology
; particulate matter
; spatiotemporal analysis
; winter
; air pollution control
; article
; boundary layer
; China
; environmental management
; forecasting
; meteorology
; particulate matter
; pollutant
; principal component analysis
; simulation
; weather
; wind speed
; winter
; Beijing [China]
; Beijing [China]
; China
学科: Beijing
; Circulation pattern
; Emission control
; Mixing layer height
; PM2.5
; Ventilation coefficient
中文摘要: As the capital of China, Beijing is the subject of great concern regarding atmospheric pollution, especially that of fine particulate matter (PM2.5). In winter 2017 (i.e., November 2017 to February 2018), PM2.5 concentration in Beijing decreased to its lowest value in the past ten years. In this study, we sought to investigate the impacts of meteorology and emission control on this abnormally low pollution phenomenon. Weather Research and Forecasting coupled with Chemistry (WRF-Chem) simulations show that sensitivity to meteorological factors accounts for approximately 51% of the observed change between winters 2016 and 2017 in Beijing. We further compared the pollution dispersion condition of winters 2016 and 2017 in terms of large-scale circulation patterns and local mixing layer heights (MLHs). The meteorological condition in 2017 was characterized by stronger wind speed (WS) and higher MLH. We classified circulation patterns into two types using the obliquely rotated Principal Component Analysis in T-mode (T-PCA) method. Active weather was found to be associated with high MLH, high near-surface WS, and high ventilation coefficient (VC), which favors the dispersion of pollutants. In contrast, the changes of meteorological variables and pollution conditions are almost opposite for stable weather. Active weather amounted to 73 and 85 days for winters 2016 and 2017, respectively. Stable weather conditions prevailed on 46 days in winter 2016, and 32 days in 2017. Less stable weather during winter 2017 compared with that of winter 2016 possibly favored efficient ventilation of boundary-layer pollution. A lack of persistent stable weather also contributed to low PM2.5 concentration in 2017. This research is important for air-pollution assessment and regional environmental management. © 2020 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160429
Appears in Collections: 气候变化与战略
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作者单位: Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China
Recommended Citation:
Xu X.,Jiang Z.,Li J.,et al. Impacts of meteorology and emission control on the abnormally low particulate matter concentration observed during the winter of 2017[J]. Atmospheric Environment,2020-01-01,225