DOI: 10.1016/j.atmosenv.2017.11.023
Scopus记录号: 2-s2.0-85034821255
论文题名: Analysis of patterns in the concentrations of atmospheric greenhouse gases measured in two typical urban clusters in China
作者: Liu L ; , Tans P ; P ; , Xia L ; , Zhou L ; , Zhang F
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 173 起始页码: 343
结束页码: 354
语种: 英语
英文关键词: Back-trajectory cluster analysis
; Correlation analysis
; Greenhouse gases
; Regional influence
; Urban clusters
Scopus关键词: Carbon
; Carbon dioxide
; Cluster analysis
; Coal combustion
; Fossil fuels
; Greenhouse gases
; Mammals
; Mass transportation
; Meteorology
; Particulate emissions
; Urban growth
; Anthropogenic emissions
; Atmospheric greenhouse
; Back trajectories
; Combustion efficiencies
; Correlation analysis
; Economic development
; Regional influence
; Urban clusters
; Urban transportation
; coal
; fossil fuel
; air mass
; air sampling
; anthropogenic source
; atmospheric pollution
; biomass burning
; carbon dioxide
; carbon monoxide
; cluster analysis
; combustion
; concentration (composition)
; correlation
; emission
; greenhouse gas
; human activity
; methane
; pollution monitoring
; regional pattern
; trajectory
; urban area
; air sampling
; Article
; atmospheric pressure
; autumn
; biomass
; China
; cold
; combustion
; controlled study
; economic development
; greenhouse gas
; heating
; high temperature
; humidity
; measurement
; photosynthesis
; priority journal
; rice
; ruminant
; seasonal variation
; spring
; summer
; urban area
; winter
; Beijing [China]
; China
; Jingjinji
; Linan
; Shangdianzi
; Yangtze Delta
; Zhejiang
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: China is the largest emitter of greenhouse gases, and urban clusters play an essential role in China's carbon emissions because of the country's unbalanced economic development. In this paper, the discrete air sample measurements of atmospheric CO2, CH4, and CO during the period between 2007 and 2013 from Shangdianzi (SDZ) station in Jing-Jin-Ji (JJJ) region and Linan (LAN) station in Yangtze River Delta (YRD) region, respectively, are presented and characterized. By backward trajectory cluster analysis, the low background CO2 mole fraction and similar long-term trends with Waliguan global station (WLG) were observed at SDZ because most of the air masses originate mostly from remote clean terrestrial areas in the north with limited information of anthropogenic emissions. But the background CH4 and CO are influenced mainly by ruminants and rice field emission from the surrounding regions and urban cluster emission in the JJJ region, which lead to the higher CH4 and CO in summer at SDZ. Whereas, the CO2, CH4 and CO background values observed at LAN are higher by the combined effects of long-distance atmospheric transportation from Northern and Central China and urban clusters emission from the YRD region. The observed polluted data at SDZ and LAN are all strongly affected by regional and local anthropogenic emissions, which lead to the higher GHGs concentrations compared to the background data. However, because the air mass transportation from the north is weak in winter and no winter heating is required and vegetation photosynthesis is still stronger in the south of China, the CO2 concentration at LAN is lower than that at SDZ in autumn and winter. The polluted CO value at SDZ is found considerably higher than that at LAN, especially in spring and winter. By analyzing the correlations of observed regional enhanced values of CO2, CH4 and CO at the two stations, we find the significant correlation between them, which means they may share the common-source of anthropogenic emissions from the regional fossil fuel and biomass burning in cold season. Moreover, the high coal-consumption proportion with the low CO2 emissions factors, and much biomass burning with low combustion efficiency in JJJ region lead to the higher slope values of △CO2 and △CO in spring and winter at SDZ and considerably higher than that at LAN. The results can provide a further understanding of regional/local features of atmospheric GHGs under the influence of human activities in the urban clusters in China. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83114
Appears in Collections: 气候变化事实与影响
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作者单位: China Meteorological Administration Meteorological Observation Centre (CMA-MOC), Beijing, China; Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration (CMA), Beijing, China; Climate Monitoring and Diagnostics Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, United States; Jiangxi Climate Center, Nanchang, China; College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
Recommended Citation:
Liu L,, Tans P,P,et al. Analysis of patterns in the concentrations of atmospheric greenhouse gases measured in two typical urban clusters in China[J]. Atmospheric Environment,2018-01-01,173