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Chinese Academy of Sciences Institutional Repositories Grid
Climate change detection and attribution in the Ganga-Brahmaputra-Meghna river basins

文献类型:期刊论文

作者Sharma, Chetan1; Shukla, Anoop Kumar2; Zhang, Yongqiang2
刊名GEOSCIENCE FRONTIERS
出版日期2021-09-01
卷号12期号:5页码:10
关键词Ganga-Brahmaputra-Meghna (GBM) Climate change Support vector machine Signal to noise ratio Anthropogenic activities
ISSN号1674-9871
DOI10.1016/j.gsf.2021.101186
通讯作者Zhang, Yongqiang(zhangyq@igsnrr.ac.cn)
英文摘要Ganga-Brahmaputra-Meghna (GBM) river basin is the third-largest and one of the most populated river basins in the world. As climate change is affecting most of the hydrometeorological variables across the globe, this study investigated the existence of climate change signal in all four climatological seasons in the GBM river basin and assessed the contribution of anthropogenic activities, i.e., Greenhouse Gases (GHGs) emission in the change. Significant decreasing trends in the monsoon and a small increase in pre-monsoon precipitation were observed. Negligible change was detected in post-monsoon and winter season precipitation. CMIP5 GCMs were used for climate change detection, change point estimation, and attribution studies. Support Vector Machine (SVM) regression method was adopted to downscale GCM variables at the local scale. Monte-Carlo simulation approach was used to detect changes in different seasons. The climate change 'signals' were detectable after the year 1980 using Signal to Noise ratio (SNR) method in the majority of central and north-western regions. The change point was detectable only in annual monsoon precipitation at the basin level. Attribution analysis indicated >50% contribution of anthropogenic activities (GHGs) to annual monsoon precipitation changes. So, there is high confidence that monsoon precipitation in GBM has significantly changed due to anthropogenic activities. Different mitigation and adaption measures are also suggested, which may be adopted to manage the growing demand and water availability in the basin. (C) 2021 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
WOS关键词EXTREME PRECIPITATION ; HYDROLOGICAL REGIME ; MANN-KENDALL ; TRENDS ; IMPACTS ; VARIABILITY ; RAINFALL ; DETECTABILITY ; TEMPERATURE ; SIMULATIONS
资助项目Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK0208] ; CAS Pioneer Hundred Talents Program
WOS研究方向Geology
语种英语
WOS记录号WOS:000692319300013
出版者CHINA UNIV GEOSCIENCES, BEIJING
资助机构Second Tibetan Plateau Scientific Expedition and Research Program ; CAS Pioneer Hundred Talents Program
源URL[http://ir.igsnrr.ac.cn/handle/311030/165422]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Yongqiang
作者单位1.JIET, Civil Engn Dept, Jodhpur, Rajasthan, India
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Sharma, Chetan,Shukla, Anoop Kumar,Zhang, Yongqiang. Climate change detection and attribution in the Ganga-Brahmaputra-Meghna river basins[J]. GEOSCIENCE FRONTIERS,2021,12(5):10.
APA Sharma, Chetan,Shukla, Anoop Kumar,&Zhang, Yongqiang.(2021).Climate change detection and attribution in the Ganga-Brahmaputra-Meghna river basins.GEOSCIENCE FRONTIERS,12(5),10.
MLA Sharma, Chetan,et al."Climate change detection and attribution in the Ganga-Brahmaputra-Meghna river basins".GEOSCIENCE FRONTIERS 12.5(2021):10.

入库方式: OAI收割

来源:地理科学与资源研究所

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