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 | |
Source Publication | INTERNATIONAL JOURNAL OF REMOTE SENSING |
2018 | |
Volume | 39Issue:21Pages:7384-7404 |
DOI | 10.1080/01431161.2018.1470699 |
Abstract | 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 ID | WOS:000456446600015 |
Language | 英语 |
Indexed By | SCIE |
Keyword | BLACK CARBON AEROSOLS MATCH OBSERVATIONS KATHMANDU VALLEY MIXING RATIOS URBAN SITE VARIABILITY MONOXIDE DISTRIBUTIONS RETRIEVALS POLLUTANTS |
WOS Research Area | Remote Sensing ; Imaging Science & Photographic Technology |
WOS Subject | Remote Sensing ; Imaging Science & Photographic Technology |
Cooperation Status | 国际 |
ISSN | 0143-1161 |
Department | 环境变化与地表过程重点实验室 |
Publisher | TAYLOR & FRANCIS LTD |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.itpcas.ac.cn/handle/131C11/8765 |
Collection | 图书馆 |
Affiliation | 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. |
Recommended Citation 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. |
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