Long-term trends in the total columns of ozone and its precursor gases derived from satellite measurements during 2004-2015 over three different regions in South Asia: Indo-Gangetic Plain, Himalayas and Tibetan Plateau

doi:10.1080/01431161.2018.1470699

	Long-term trends in the total columns of ozone and its precursor gases derived from satellite measurements during 2004-2015 over three different regions in South Asia: Indo-Gangetic Plain, Himalayas and Tibetan Plateau
	Rupakheti, D (Rupakheti, Dipesh)1,2,3; Kang, SC (Kang, Shichang)2,3,4; Rupakheti, M (Rupakheti, Maheswar)5,6; Tripathee, L (Tripathee, Lekhendra)3; Zhang, QG (Zhang, Qianggong)1,4; Chen, PF (Chen, Pengfei)3; Yin, XF (Yin, Xiufeng)2,3
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2018
卷号	39 期号:21 页码:7384-7404
关键词	BLACK CARBON AEROSOLS MATCH OBSERVATIONS KATHMANDU VALLEY MIXING RATIOS URBAN SITE VARIABILITY MONOXIDE DISTRIBUTIONS RETRIEVALS POLLUTANTS
ISSN号	0143-1161
DOI	10.1080/01431161.2018.1470699
英文摘要	Long-term (2004-2015) satellite data over three adjacent yet contrasting regions: Indo-Gangetic Plain, Himalayas and Tibetan Plateau (TP) were used to study the spatiotemporal distribution of total ozone column (TOC) and its precursor gases (such as nitrogen dioxide (NO2), methane (CH4) and carbon monoxide (CO)). The ozone precursor emission data and forest fire points were used to explore the findings. Trace gases showed increasing trend probably due to increasing emission from South Asia as supported by the Emission Database for Global Atmospheric Research emission data. Strong seasonal variation in trace gases was observed with the highest value during the pre-monsoon season, over three regions, possibly due to the biomass burning, pollution build-up and also long-range transport of pollution. TOC exhibited the similar seasonal variation as shown by the earlier ground-based studies over the region. The total column of precursor gases (except methane) exhibited strong seasonality with the highest column during the pre-monsoon season. Patterns in the variations of TOC and related precursors over the Himalayas were similar with that of the TP. Seasonal climatological trends also exhibited increasing pattern except for CO. This work provides an overview on the long-term TOC and its precursor gases which are necessary to understand the regional climate variability especially over the Himalayas and Tibetan Plateau region.
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000456446600015
内容类型	期刊论文
源URL	[http://ir.itpcas.ac.cn/handle/131C11/8765]
专题	青藏高原研究所_图书馆
作者单位	1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China; 2.UCAS, Beijing, Peoples R China; 3.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Stae Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China; 4.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China; 5.Inst Adv Sustainabil Studies, Potsdam, Germany; 6.Himalayan Sustainabil Inst HIMSI, Kathmandu, Nepal.
推荐引用方式 GB/T 7714	Rupakheti, D ,Kang, SC ,Rupakheti, M ,et al. Long-term trends in the total columns of ozone and its precursor gases derived from satellite measurements during 2004-2015 over three different regions in South Asia: Indo-Gangetic Plain, Himalayas and Tibetan Plateau[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2018,39(21):7384-7404.
APA	Rupakheti, D .,Kang, SC .,Rupakheti, M .,Tripathee, L .,Zhang, QG .,...&Yin, XF .(2018).Long-term trends in the total columns of ozone and its precursor gases derived from satellite measurements during 2004-2015 over three different regions in South Asia: Indo-Gangetic Plain, Himalayas and Tibetan Plateau.INTERNATIONAL JOURNAL OF REMOTE SENSING,39(21),7384-7404.
MLA	Rupakheti, D ,et al."Long-term trends in the total columns of ozone and its precursor gases derived from satellite measurements during 2004-2015 over three different regions in South Asia: Indo-Gangetic Plain, Himalayas and Tibetan Plateau".INTERNATIONAL JOURNAL OF REMOTE SENSING 39.21(2018):7384-7404.