gchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosres.2019.01.017
Scopus ID: 2-s2.0-85060295366
Title:
Temporal patterns and source regions of atmospheric carbon monoxide at two background stations in China
Author: Liu S.; Fang S.; Liang M.; Sun W.; Feng Z.
Source Publication: Atmospheric Research
ISSN: 1698095
Indexed By: SCI ; SCI-E ; EI
Publishing Year: 2019
Volume: 220
pages begin: 169
pages end: 180
Language: 英语
Keyword: Carbon monoxide (CO) ; Source apportionment ; Temporal variations ; Trend analysis
Scopus Keyword: Carbon monoxide ; Light measurement ; Particulate emissions ; Scales (weighing instruments) ; Anthropogenic emissions ; Atmospheric carbon monoxide ; Diurnal variation ; Northern Hemispheres ; Seasonal variation ; Source apportionment ; Temporal variation ; Trend analysis ; Atmospheric movements ; air mass ; anthropogenic source ; atmospheric pollution ; atmospheric transport ; carbon monoxide ; emission inventory ; pollutant source ; pollutant transport ; source apportionment ; temporal variation ; trend analysis ; Beijing [China] ; China ; Linan ; Shangdianzi ; Zhejiang
English Abstract: Atmospheric carbon monoxide (CO) was continuously measured from 2010/2011 to 2017 at Lin'an (LAN) and Shangdianzi (SDZ) background station in the economically developed region in China using cavity ring-down spectrometers. Diurnal variations of CO mixing ratio displayed a bimodal in all seasons, with the peak to trough amplitudes larger than 43.6 ± 18.5 (95% CI) ppb at LAN and 80.5 ± 47.0 ppb at SDZ, reflecting the influence of anthropogenic emissions. Seasonal variation at LAN was in accordance with those observed in the northern hemisphere. Due to the multiple influences of regional sources and meteorological transport, CO at SDZ displayed an abnormal pattern, with a maximum in summer and the minimum in autumn. CO levels decreased at a rate of 16.3 ± 0.3 ppb yr −1 at LAN and 1.3 ± 0.4 ppb yr −1 at SDZ during the six-year period. The 3-day back trajectory by the HYSPLIT model showed that high CO at LAN was mainly from the economically developed regions, including the North China Plain, the Middle-Lower Yangtze Plain and the eastern region of the station. The analysis by concentration-weighted trajectory (CWT) approach indicated that large-scale of strong source regions were uniformly distributed around the LAN site in all seasons. At SDZ, atmospheric CO was severely influenced by monsoons and air masses from the south-southeastern site. Major source areas were identified in megacities such as Beijing, Tianjin, and Tangshan, especially in summer. Consequently, most of the atmospheric CO mole fractions at SDZ could be defined into two subsets, with higher values associated with air masses from the south and lower ones from the north. © 2019 Elsevier B.V.
Citation statistics:
Document Type: 期刊论文
Identifier: http://119.78.100.177/globalchange/handle/2HF3EXSE/122297
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


Affiliation: State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; Meteorological Observation Centre (MOC), China Meteorological Administration (CMA), Beijing, 100081, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China

Recommended Citation:
Liu S.,Fang S.,Liang M.,et al. Temporal patterns and source regions of atmospheric carbon monoxide at two background stations in China[J]. Atmospheric Research,2019-01-01,220
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Liu S.]'s Articles
[Fang S.]'s Articles
[Liang M.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Liu S.]'s Articles
[Fang S.]'s Articles
[Liang M.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Liu S.]‘s Articles
[Fang S.]‘s Articles
[Liang M.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.