五台山大气CO<sub>2</sub>本底浓度及源汇特征

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (4071 KB) HTML (0 KB)
输出: BibTeX | EndNote (RIS)

摘要基于五台山站2017年1月~2020年12月的大气CO₂连续观测资料，采用平均移动过滤法（MAF）和后向轨迹分析方法，对五台山大气CO₂本底浓度及源汇特征进行研究.结果表明：五台山大气CO₂浓度受到区域或局地源汇的影响，筛分后的CO₂本底小时浓度振幅为44.9×10^-6，小于未经筛分的CO₂浓度振幅94.7×10^-6.2017~2020年CO₂本底浓度呈逐年上升趋势，但增幅放缓；抬升浓度占比有所下降，吸收浓度占比波动较小，表明人类活动对CO₂浓度的影响逐年减弱，而五台山周边地区陆地生态系统碳汇作用相对稳定.CO₂本底浓度夏季最低，秋冬季次之，春季最高；日变化夏季最明显，峰谷值分别出现在05：00和16：00，其他季节日振幅仅在0.7×10^-6~1.8×10^-6之间.与本底浓度相比，抬升浓度的差异值自10月至翌年3月明显增大，而吸收浓度的差异值在6~9月最显著，分别反映出人为活动排放源以及陆地生态系统吸收汇对CO₂本底浓度的影响.源汇浓度日变化均为单峰结构，抬升浓度白天高、夜间低，吸收浓度刚好相反.春、秋和冬季造成CO₂浓度明显抬升的地面风向主要为西南风，且随风速的增加CO₂浓度能够保持较高水平，而夏季主要为东北偏东风；春、夏季，2~4m/s的风速有利于进一步降低CO₂吸收浓度.后向轨迹分析表明，气团远距离输送对源汇浓度的影响除了取决于气团途径区域的CO₂排放情况，还与气团的空间垂直输送路径有关.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	李莹
	闫世明
	王淑敏
	张逢生
	于小红
	杨爱琴
	岳江
	靳泽辉

关键词 ：五台山, 温室气体, 区域本底, 源汇特征

Abstract：Based on the continuous CO₂ datasets from 2017 to 2020, observed at Wutaishan GHG station, the background concentration and source-sink characteristics of CO₂ in Wutai Mountain were studied by using the Moving Average Filtering (MAF) method and backward trajectory analysis. The results show that the atmospheric CO₂ concentrations were affected by regional or local sources/sinks, with the smaller hourly amplitude of background concentration (44.9×10^-6), compared to that of unselected CO₂ concentration (94.7×10^-6). The CO₂ background concentration had slowly increased from 2017 to 2020. Particularly, the proportion of rising concentration had decreased probably due to the weakened human activities. On the contrast, the variation in the absorption concentration was stable, inferring that the effect of terrestrial ecosystem on CO₂ concentration was relatively stable. The seasonal mean of CO₂ background concentration was the lowest in summer, secondly in autumn and winter, and the highest in spring. The diurnal variation in CO₂ background concentration was most obvious in summer, with the peak and valley value around 5:00a.m. and 16:00p.m., respectively; the diurnal variation fluctuated slightly in other seasons with amplitudes merely between 0.7×10^-6 and 1.8×10^-6. Compared to the background concentration, the CO₂ uplifting concentration differed remarkably from October to March, whereas the change in absorption concentration occurred from June to September, indicating impacts of anthropogenic emission and terrestrial ecosystem carbon absorption on CO₂ concentration. The diurnal variation in source-sink concentrations displayed a single peak structure, and the rising concentration was high during the day and low at night, and the reversion was just for the absorption concentration. In spring, autumn and winter, the southwest wind was mainly responsible for the significant CO₂ uplift, and CO₂ concentration could stay at a high level with an increase in wind speed; while, in summer,the northeast easterly wind obviously enhanced the observed values. Besides, in spring and summer, the wind speed between 2 and 4m/s was conducive to reduce the CO₂ absorption concentration. Evidently, the impact of long-range transport of air masses on the source-sink concentrations depend not only on the source strength of CO₂ in the pathway, but also on the spatial vertical transport path of the air masses.

Key words： Wutai Mountain greenhouse gases regional background source-sink characteristics

收稿日期: 2022-01-18

PACS:

X511

基金资助:山西省基础研究计划青年科学研究项目（20210302124617）；山西省气象局面上项目（SXKMSDW20217114）

通讯作者: 闫世明,正高级工程师,qksysm@126.com E-mail: qksysm@126.com

作者简介: 李莹(1986-),女,山西运城人,高级工程师,硕士,主要研究方向为温室气体及大气成分研究.发表论文4篇.

引用本文:

李莹, 闫世明, 王淑敏, 张逢生, 于小红, 杨爱琴, 岳江, 靳泽辉. 五台山大气CO₂本底浓度及源汇特征[J]. 中国环境科学, 2022, 42(8): 3572-3583. LI Ying, YAN Shi-ming, WANG Shu-min, ZHANG Feng-sheng, YU Xiao-hong, YANG Ai-qin, YUE Jiang, JIN Ze-hui. Studies on background concentration and source-sink characteristics of CO₂ in Wutai Mountain. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(8): 3572-3583.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2022/V42/I8/3572

[1]	樊星,秦圆圆,高翔.IPCC第六次评估报告第一工作组报告主要结论解读及建议[J]. 环境保护, 2021,49(Z2):44-48. Fan X, Qin Y Y, Gao X. Interpretation of the main conclusions and suggestions of IPCC AR6working group Ⅰ report[J]. Environmental Protection, 2021,49(Z2):44-48.
[2]	WMO. The state of greenhouse gases in the atmosphere based on global observations through 2019[EB/OL]. https://gaw.kishou.go.jp/publications/bulletin, 2020-11-23.
[3]	Crotwell A, Steinbacher M. 19th WMO/IAEA meeting on carbon dioxide, other greenhouse gases and related measurement techniques (GGMT-2017)[R]. GAW report No.229, 2017:1-150.
[4]	Reimann S, Manning A J, Simmonds P G, et al. Low European methyl chloroform emissions inferred from long-term atmospheric measurements[J]. Nature, 2005,433(7025):506-508.
[5]	Conway T J, Tans P P, Waterman L S, et al. Evidence for inter-annual variability of the carbon cycle from the NOAA/CMDL global air sampling network[J]. Journal of Geophysical Research Atmospheres, 1994,99(22):831-855.
[6]	Thoning Kirk W, Tans Pieter P, Komhyr W D. Atmospheric carbon dioxide at Mauna Loa observatory 2. Analysis of the NOAA GMCC data, 1974~1985[J]. Journal of Geophysical Research Atmospheres, 1989,94(D6):8549-8565.
[7]	Gillette Dale A, Komhyr W D, Waterman L S, et al. The NOAA/GMCC continuous CO2 record at the South Pole, 1975~1982[J]. Journal of Geophysical Research Atmospheres, 1987,92(D4):4231-4240.
[8]	周凌晞,汤洁,温玉璞,等.地面风对瓦里关山大气CO2本底浓度的影响分析[J]. 环境科学学报, 2002,22(2):135-139. Zhou L X, Tang J, Wen Y P, et al. Impact of local surface wind on the atmospheric carbon dioxide background concentration at Mt. Waliguan[J]. Acta Scientiae Circumstantiae, 2002,22(2):135-139.
[9]	Bousquet P, Gaudry A, Ciais P, et al. Atmospheric CO2 concentration variations recorded at Mace Head, Ireland, from 1992 to 1994[J]. Physics and Chemistry of the Earth, 1996,21(5):477-481.
[10]	Zhang F, Zhou L X, Conway T J, et al. Short-term variations of atmospheric CO2 and dominant causes in summer and winter:analysis of 14-year continuous observational data at Waliguan, China[J]. Atmospheric Environment, 2013,77(77):140-148.
[11]	Fang S X, Tans P P, Dong F, et al. Characteristics of atmospheric CO2 and CH4 at the Shangdianzi regional background station in China[J]. Atmospheric Environment, 2016,131:1-8.
[12]	浦静姣,徐宏辉,顾骏强,等.长江三角洲背景地区CO2浓度变化特征研究[J]. 中国环境科学, 2012,32(6):973-979. Pu J J, Xu H H, Gu J Q, et al. Study on the concentration variation of CO2 in the background area of Yangtze River Delta[J]. China Environmental Science, 2012,32(6):973-979.
[13]	Tsutsumi Y, Mori K, Ikegami M, et al. Long-term trends of greenhouse gases in regional and background events observed during 1998~2004 at Yonagunijima located to the east of the Asian continent[J]. Atmospheric Environment, 2006,40(30):5868-5879.
[14]	Pu J J, Xu H H, He J, et al. Estimation of regional background concentration of CO2 at Lin'an Station in Yangtze River Delta, China[J]. Atmospheric Environment, 2014,94:402-408.
[15]	Fang S X, Tans P P, Steinbacher M, et al. Comparison of the regional CO2 mole fraction filtering approaches at a WMO/GAW regional station in China[J]. Atmospheric Measurement Techniques, 2015, 8(12):5301-5313.
[16]	栾天,方双喜,周凌晞,等.龙凤山站大气CO2浓度2种筛分方法对比研究[J]. 中国环境科学, 2015,35(2):321-328. Luan T, Fang S X, Zhou L X, et al. Comparison of two flagging approaches to the observed CO2 mole fractions at the Longfengshan WMO/GAW Regional Station in China[J]. China Environmental Science, 2015,35(2):321-328.
[17]	张芳,周凌晞,王玉诏.不同源汇信息提取方法对区域CO2源汇估算及其季节变化的影响评估[J]. 环境科学, 2015,36(7):2405-2413. Zhang F, Zhou L X, Wang Y Z. Evaluation on the impacts of different background determination methods on CO2 sources and sinks estimation and seasonal variations[J]. Environmental Science, 2015, 36(7):2405-2413.
[18]	Wang S M, Zhu L Y, Yan S M, et al. Atmospheric CO2 data filtering method and characteristics of the mole fractions at Wutaishan station in Shanxi of China[J/OL]. Aerosol and Air Quality Research. https://doi.org/10.4209/aaqr.2020.01.0026.
[19]	Reimann S, Manning A J, Simmonds P G, et al. Low European methyl chloroform emissions inferred from long-term atmospheric measurements[J]. Nature, 2005,433(7025):506-508.
[20]	Fang S X, Tans P P, Yao B, et al. Study of atmospheric CO2 and CH4 at Longfengshan WMO/GAW regional station:The variations, trends, influence of local source/sinks, and transport[J]. Science China Earth Science, 2017,60(10):1886-1895.
[21]	Cheng S Y, Zhou L X, Tans P P, et al. Comparison of atmospheric CO2 mole fraction and source-sink characteristics at four WMO/GAW stations in China[J]. Atmospheric Environment, 2018,180:216-225.
[22]	Giemsa E, Jacobeit J, Ries L, et al. Investigating regional source and sink patterns of Alpine CO2 and CH4 concentrations based on a back trajectory receptor model[J]. Environmental Sciences Europe, 2019, 31:49.
[23]	QX/T 174-2012大气成分站选址要求[S]. QX/T 174-2012 Site selection for atmospheric composition monitoring stations[S].
[24]	Zhang F, Zhou L X, Xu L. Temporal variation of atmospheric CH4 and the potential source regions at Waliguan, China[J]. Science in China Series D:Earth Sciences, 2013,56(5):727-736.
[25]	Mai B R, Deng X J, Zhang F, et al. Background characteristics of atmospheric CO2 and the potential source regions in the Pearl River Delta region of China[J]. Advances in Atmospheric Sciences, 2020, 37(6):557-568.
[26]	韦芬芬,林惠娟,曹舒娅,等.苏南地区CO2本底浓度及源汇特征[J]. 中国环境科学, 2020,40(3):975-982. Wei F F, Lin H J, Cao S Y, et al. A study on background concentration and source-sink characteristics of CO2 in south of Jiangsu[J]. China Environmental Science, 2020,40(3):975-982.
[27]	刘立新,周凌晞,张晓春,等.我国4个国家级本底站大气CO2浓度变化特征[J]. 中国科学D辑, 2009,39(2):222-228. Liu L X, Zhou L X, Zhang X C, et al. The concentration variations of atmospheric CO2 at four background stations in China[J]. Science in China (Series D), 2009,39(2):222-228.
[28]	中国气象局气候变化中心.中国温室气体公报[R]. 北京:中国气象局, 2017-2019. Climate Change Center of China Meteorological Administration. China greenhouse gas bulletin[R]. Beijing:China Meteorological Administration, 2017-2019.
[29]	World Meteorological Organization. WMO Greenhouse Gas Bulletin:The state of greenhouse gases in the atmosphere based on global observations through 2020[R]. Geneva:WMO, 2021.
[30]	郑德宏.近20年五台山气候特征分析及对现代农业的影响[J]. 南方农机, 2020,51(15):98-99. Zheng D H. Analysis of climatic characteristics of Wutai Mountain in recent 20years and its impact on modern agriculture[J]. China Southern Agricultural Machinery, 2020,51(15):98-99.
[31]	赵玉成,温玉璞,德力格尔,等.青海瓦里关大气CO2本底浓度的变化特征[J]. 中国环境科学, 2006,26(1):1-5. Zhao Y C, Wen Y P, Dliger, et al. Change characteristics of atmospheric CO2 background concentration in Waliguan Qinghai[J]. China Environmental Science, 2006,26(1):1-5.
[32]	闫世明,王雁,郭伟,等.太原市秋冬季大气污染特征和输送路径及潜在源区分析[J]. 环境科学, 2019,40(11):4801-4810. Yan S M, Wang Y, Guo W, et al. Characteristics, transportation, pathways, and potential sources of air pollution during autumn and winter in Taiyuan[J]. Environmental Science, 2019,40(11):4801-4810.
[33]	闫世明,王雁,张岳军,等.五台山春季气溶胶传输特征[J]. 中国环境科学, 2020,40(2):497-505. Yan S M, Wang Y, Zhang Y J, et al. Aerosol transmission characteristics of spring in Wutai mountain[J]. China Environmental Science, 2020,40(2):497-505.
[34]	Zhang F S, Zhu L Y, Yan S M, et al. Analysis of the carbon dioxide mole fraction variation and its transmission characteristics in Taiyuan[J]. Atmospheric and Oceanic Science Letters, 2020,13(4):363-370.
[35]	Xia L J, Zhang G, Liu L X, et al. Atmospheric CO2 and CO at Jingdezhen station in central China:Understanding the regional transport and combustion efficiency[J]. Atmospheric Environment, 2020,222:117104.
[36]	夏玲君,张根,陈昆,等.江西景德镇站大气CH4和CO季节变化及源解析[J]. 中国环境科学, 2021,41(12):5485-5494. Xia L J, Zhang G, Chen K, et al. The seasonal variations of atmospheric CH4 and CO concentrations and their emission sources at Jingdezhen station in Jiangxi[J]. China Environmental Science, 2021, 41(12):5485-5494.