Temporal characteristics of atmospheric CO2 in urban Nanjing, China

被引:36
作者
Huang, Xiaoxian [1 ]
Wang, Tijian [1 ]
Talbot, Robert [2 ]
Xie, Min [1 ]
Mao, Huiting [3 ]
Li, Shu [1 ]
Zhuang, Bingliang [1 ]
Yang, Xiuqun [1 ]
Fu, Congbin [1 ]
Zhu, Jialei [1 ]
Huang, Xing [1 ]
Xu, Runying [4 ]
机构
[1] Nanjing Univ, Sch Atmospher Sci, Nanjing 210093, Jiangsu, Peoples R China
[2] Univ Houston, Dept Earrh & Atmospher Sci, Houston, TX 77204 USA
[3] SUNY Coll Environm Sci & Forestry, Dept Chem, Syracuse, NY 13210 USA
[4] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resource Reuse, Nanjing 210023, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Atmospheric carbon dioxide (CO2); Urban Nanjing; Traffic emissions; Firework settings; The CO2/CO ratio; CARBON-DIOXIDE; LAND-USE; CITY; EMISSIONS; PHOENIX; TRENDS; ARIZONA; GASES; SINKS; FLUX;
D O I
10.1016/j.atmosres.2014.09.007
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Although China is a big carbon dioxide (CO2) emitter, in situ measurements of atmospheric CO2 are sparse in urban China. The mixing ratio of carbon dioxide (CO2) and its influencing factors in urban Nanjing were investigated in this study, from the 18th of January to the 31st of December 2011. The annual average mixing ratio of CO2 was 406.5 +/- 20.0 ppmv over the study period. The signal analysis using the fast Fourier transform (FFT) algorithm showed that CO2 had different cycles as a result of multiple controlling factors. The seasonal and intra-seasonal fluctuations of CO2 were mainly caused by the terrestrial biospheric uptake and emission and atmospheric oscillation. The weekly variation of CO2 was largely influenced by traffic volume. The diurnal cycle of CO2 presented a bimodal pattern in winter (DJF) probably due to the rush hour emissions. The seasonal mean CO2/CO correlation slope varied from 0.024 ppMv/ppbv to 0.029 ppmv/Ppbv, comparable to the fossil fuel combustion emission ratio. The diurnal pattern of CO2/CO was irregular, indicating random anthropogenic emissions in an urban area. Firework setting was a large source of CO2 during the Spring Festival holiday. The backward trajectories by the HYSPLIT model showed that the local anthropogenic emissions contributed the most to the high CO2 mixing ratio in the urban area. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:437 / 450
页数:14
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