江西景德镇站大气CH<sub>4</sub>和CO季节变化及源解析

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (4308 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Continuous observations of CH₄ and CO concentrations were conducted at the Jingdezhen (JDZ) station in Jiangxi Province from December 2017 to November 2018, which was further filtered into background and polluted compositions to better evaluate their seasonal variations and emission sources. Results showed that the seasonal characteristics of both background CH₄ and CO were similar with those conducted at Lin’an station in Zhejiang Province, with the minimum in summer and the maximum in winter. Compare with background, the polluted concentration of atmospheric summertime CH₄ exhibited strong enhancements above the background values (133.9×10^-9) due to the emissions from rice paddies and wetland. Meanwhile, the polluted concentration of atmospheric wintertime CO also exhibited enhancements relative to the background values (227.2×10^-9) due to the emission of anthropogenic emission such as biomass burning and heating, which was transported from the northwestern regions. In general, we found the potential emission sources of atmospheric CO distributed in the southeast part in Hubei Province during the whole year, Anhui Province during the autumn and winter, the central Shandong Province during the autumn, Shanghai and Hangzhou during the summer and autumn, eastern region in Hunan Province and Jiangxi Province during the winter by using the HYPSLIT model, among which the contribution of the eastern region in Hunan Province and Jiangxi Province reached up to 53.7%. For CH₄, its potential sources mainly distributed in Jiangxi Province, Hangzhou and Nanjing city in Yangtze River Delta, the southern parts in Anhui Province, and the southeastern regions in Hubei Province during the summer, and the central Shandong Province during the autumn. The contribution of the emission from Nanjing, Hangzhou, and the southern region of Anhui Province to the enhancement of the background CH₄ concentration was as high as 69.5%. High correlation coefficient between CH₄ and CO was found as high as 0.86 and the emission ratio of CH₄ to CO exhibited significant variation with low value in winter(0.31) and high value in summer that can be explained by the seasonal variation in the sources and sinks of CH₄ and CO(1.06).

Key words： Jiangxi CH₄ CO seasonal variation emission sources

Received: 15 April 2021

PACS:

X511

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	XIA Ling-jun
	ZHANG Gen
	CHEN Kun
	ZHAN Ming-jin
	KONG Ping
	LI Bo-zhen
	DAI Zhi-jian

Cite this article:

XIA Ling-jun,ZHANG Gen,CHEN Kun等. The seasonal variations of atmospheric CH₄ and CO concentrations and their emission sources at Jingdezhen station in Jiangxi[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(12): 5485-5494.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I12/5485

[1]	Fiore A M, West J J, Horowitz L W, et al. Characterizing the tropospheric ozone response to methane emission controls and the benefits to climate and air quality[J]. Journal of Geophysical Research, 2008,113,D08307,doi:10.1029/2007JD009162.
[2]	Fiore A M, Naik V, Spracklen D V, et al. Global air quality and climate[J]. Chemical Society Reviews, 2012,41:6663-6683.
[3]	Isaksen I, Berntsen T, Dalsøren S, et al. Atmospheric ozone and methane in a changing climate[J]. Atmosphere, 2014,5:518-535.
[4]	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.
[5]	Peng S S, Piao S L, Bousquet P, et al. Inventory of anthropogenic methane emissions in mainland China from 1980 to 2010[J]. Atmospheric Chemistry Physics, 2016,16:14545-14562.
[6]	Warwick N J, Bekki S, Law K S, et al. The impact of meteorology on the interannual growth rate of atmospheric methane[J]. Geophysical Research Letters, 2002,29:81-84.
[7]	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.
[8]	Khalil M A K, Rasmussen R A, Shearer M J, et al. Measurements of methane emissions from rice fields in China[J]. Journal of Geophysical Research, 1998,103:25181-25210.
[9]	Baldocchi D, Detto M, Sonnentag O, et al. The challenges of measuring methane fluxes and concentrations over a peat-land pasture[J]. Agricultural and Forest Meteorology, 2012,153:177-187.
[10]	Liu S, Fang S X, Liang M, et al. Temporal patterns and sources regions of atmospheric carbon monoxide at two background stations in China[J]. Atmospheric Research, 2019,220:169-180.
[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]	夏玲君,刘立新.北京上甸子站大气CH4数据筛分及变化特征[J]. 中国环境科学, 2017,37(11):4044-4051. Xia L J, Liu L X. Data selection and variation characteristics of atmospheric CH4 observed at Shangdianzi station in Beijing[J]. China Environmental Science, 2017,37(11):4044-4051.
[13]	刘萍,余家燕,鲍雷,等.重庆市城区大气中CO2和CH4的浓度特征分析[J]. 西南师范大学学报(自然科学版), 2016,5(41):146-150. Liu P, Yu J Y, Bao L, et al. On concentration feature analysis of CO2 and CH4 in city of Chongqing[J]. Journal of Southwest China Normal University (Natural Science Edition), 2016,5(41):146-150.
[14]	Wang Y, Munger J W, Xu S, et al. CO2 and its correlation with CO at a rural site near Beijing implications for combustion efficiency in China[J]. Atmospheric Chemical Physics, 2010,10:8881-8897.
[15]	常越,邓小波,刘海磊,等.中国区域近地面及高空CH4时空分布特征研究[J]. 环境科学与技术, 2017,40(1):161-166. Chang Y, Deng X B, Liu H L, et al. Temporal and spatial distribution character of CH4 near surface and upper air in China[J]. Environmental Science & Technology, 2017,40(1):161-166.
[16]	张兰兰,张金业.基于GOSAT卫星数据的中国CH4浓度时空分布[J]. 湖北工业大学学报, 2018,33(4):37-39,47. Zhang L L, Zhang J Y. Spatial and temporal distribution of CH4 concentration based on GOSAT satellite data in China[J]. Journal of Hubei University of Technology, 2018,33(4):37-39,47.
[17]	冯敏玉,张根,夏玲君,等.长江中下游六省大气甲烷柱浓度时空分布[J]. 地球化学, 2021,50(1):121-132. Feng M Y, Zhang G, Xia L J, et al. Spatial and temporal distribution of atmospheric methane in middle-low reaches of Yangtze River based on satellite observations[J]. Geochimica, 2021,50(1):121-132.
[18]	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.
[19]	Xia L J, Zhang G, Zhan M J, et al. Seasonal variations of atmospheric CH4 at Jingdezhen station in Central China: Understanding the regional transport and its correlation with CO2 and CO[J]. Atmospheric Research, 2020,241:104982.
[20]	Tans P P, Zellweger C. Expert group recommendation for measurements of calibrations for measurements of carbondioxide, other greenhouse gases, and related measurement techniques. In: Tans P P and Zellweger C. 17th WMO/IAEA Meeting of Experts on Carbon Dioxide, Other Greenhouses and Related Tracers Measurement Techniques (GGMT-2013)[C]. Geneva: World Meteorological Organization, 2014:1-40.
[21]	栾天,周凌晞,方双喜,等.龙凤山本底站大气CO2数据筛分及浓度特征研究[J]. 环境科学, 2014,35(8):2864-2870. Luan T, Zhou L X, Fang S X, et al. Atmospheric CO2 data filtering method and characteristics of the molar fractions at the Longfengshan WMO/GAW regional station in China[J]. Environmental Science, 2014,35(8):2864-2870.
[22]	Wang Y Q, Zhang X Y, Draxler R. TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from long-term air pollution measurement data[J]. Environmental Modeling and Software, 2009,24:938-939.
[23]	夏玲君,巩志宇,李柏贞.基于GOSAT卫星遥感的我国中部地区大气CH4时空分布[J]. 气象与减灾研究, 2019,42(1):1-8. Xia L J, Gong Z Y, Li B Z. Spatial and temporal distribution of atmospheric CH4 in central China based on satellite observations[J]. Meteorology and Disaster Reduction Research, 2019,42(1):1-8.
[24]	Tohjima Y, Kubo M, Minejima C, et al. Temporal changes in the emissions of CH4 and CO from China estimated from CH4/CO2 and CO/CO2 correlations observed at Hateruma Island[J]. Atmospheric Chemistry and Physics, 2014,14:1663-1677.