DOI: 10.1016/j.atmosenv.2019.117104
论文题名: Atmospheric CO2 and CO at Jingdezhen station in central China: Understanding the regional transport and combustion efficiency
作者: Xia L. ; Zhang G. ; Liu L. ; Li B. ; Zhan M. ; Kong P. ; Wang H.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 222 语种: 英语
英文关键词: Carbon dioxide
; Cluster analysis
; Combustion
; Efficiency
; Fossil fuels
; Greenhouse gases
; Meteorology
; Mixing
; Transportation routes
; Anthropogenic emissions
; Biomass burning emissions
; Central chinas
; Combustion efficiencies
; High combustion efficiency
; Long-distance transport
; Observation networks
; Yangtze river delta
; Atmospheric movements
; carbon dioxide
; carbon monoxide
; fossil fuel
; air mass
; atmospheric pollution
; biomass burning
; carbon emission
; carbon monoxide
; cluster analysis
; coal combustion
; correlation
; fossil fuel
; greenhouse gas
; mass transport
; winter
; air pollution
; autumn
; biomass
; China
; circadian rhythm
; combustion
; greenhouse gas
; priority journal
; season
; seasonal variation
; spring
; summer
; time series analysis
; urban area
; wind speed
; winter
; China
学科: Central China
; Cluster analysis
; Greenhouse gases
; △CO2/△CO ratio
中文摘要: Greenhouse gas observation networks have been extensively established in eastern, southern, western, and northern China, but are rare in the developing central China. In this study, atmospheric CO2 and CO were measured in-situ at Jingdezhen (JDZ) station (29.37 °N, 117.22 °E, 87.3 m a.s.l) in central China during Dec. 2017–Nov. 2018. The observation data were filtered as regionally representative and polluted conditions, based on the analysis of diurnal CO2 and CO variations and the impacts of wind directions and speeds. The average CO2 and CO mixing ratios of regionally representative compositions during the study period were 416.2 ppm and 294.9 ppb, respectively, relative to 433.8 ppm and 408.9 ppb for the polluted events. Cluster analysis of HYSPLIT backward trajectories indicated that long-distance transport of air masses originating from northwestern China, eastern China and Jiangxi made the main contributions to variability in regionally representative air. The trajectories passing through urban areas of YRD (Yangtze River Delta), Anhui province in central China, and Nanchang in Jiangxi province carried polluted air masses that probably lead to the increase of CO2 and CO mixing ratios. The enhancements of CO2 (△CO2) and CO (△CO) in polluted conditions relative to the regionally representative conditions presented stronger correlations (R = 0.78, p < 0.001) in wintertime relative to the other seasons at JDZ station, suggesting anthropogenic emissions from fossil fuel and biomass combustion significantly affected CO2 atmospheric loading in the cold season. Lower △CO2/△CO ratio (39.0 ppm/ppm) was observed in December 2017 than other months in winter, and the air mass transport mostly originated from northern China in Dec, implying the strong impact of biomass burning emission sources with low combustion efficiency from northern China. The particular polluted event during 18–21 January in 2018 with high slope value (70.7 ppm/ppm) of △CO2 vs △CO was also investigated, and the analysis of air-mass transport routes indicated high combustion efficiency might be found in Central China such as Jiangxi and Hunan provinces. © 2019 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/161093
Appears in Collections: 气候变化与战略
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作者单位: Jiangxi Ecological Meteorology Center, Nanchang, Jiangxi 330096, China; State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of China Meteorological Administration (CMA), Chinese Academy of Meteorological Sciences, Beijing, 100081, China; China Meteorological Administration Meteorological Observation Centre (CMA-MOC), Beijing, 100081, China
Recommended Citation:
Xia L.,Zhang G.,Liu L.,et al. Atmospheric CO2 and CO at Jingdezhen station in central China: Understanding the regional transport and combustion efficiency[J]. Atmospheric Environment,2020-01-01,222