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题名

Evaluation of the impact of climate change on the streamflow of major pan-Arctic river basins through machine learning models

作者
通讯作者Gan,Thian Yew
发表日期
2023-04-01
DOI
发表期刊
ISSN
0022-1694
EISSN
1879-2707
卷号619
摘要

Under a warmer climate, streamflow from the pan-Arctic River basins exhibits increasing trends in recent years. The higher streamflow would have a large impact on the atmospheric and oceanic circulation of the Arctic, even the globe. However, due to the limited observation data and the complex hydrologic processes in the polar river basins, it is challenging to simulate and to predict the streamflow under the impact of climate change. This study applied Support Vector Regression Model (SVR), Artificial Neural Network (ANN), and Multi-Variable Regression (MLR) model to simulate the monthly streamflow of four major pan-Arctic River basins: Mackenzie River basin, Ob’ River basin, Lena River basin, and Yenisei River basin. After validating the SVMs with datasets independent of the calibration experience, the SVMs were used to predict the monthly streamflow of the four large pan-Arctic river basins, under the climate projection scenarios, SSP245 and SSP585, of five CMIP6 GCMs: BCC-CSM2-MR, CAS-ESM2-0, CMCC-ESM2, FIO-ESM-2-0, and MPI-ESM1-2-HR, for 2020–2100. Results show that: 1) the precipitation and temperature are both projected to increase by almost five GCMs in almost river basins with larger amplitudes under SSP585 than SSP245; 2) with wetter and warmer climate, the annual streamflow was projected to increase continuously over the twenty-first century for Mackenzie, Lena, and Yenisei river significantly, with larger amplitudes under SSP585 than SSP245. The Ob’ river does not show significant increasing trends in its annual streamflow; 3) the higher annual streamflow of Lena and Yenisei river basins mainly come from the increase in summer streamflow, while for Meckanzie, the streamflow in summer and winter increases evenly. As its higher winter streamflow compenstates its lower summer streamflow, the annual streamflow of the Ob’ river is projected with minimal changes. In addition, the onset of spring snowmelt is also projected to occur earlier in all river basins due to warmer climate. Results of this study agree with previous findings that the Arctic streamflow is increasing, but this study also demonstrate different responses in seasonal streamflow between the river basins to warmer temperature and higher precipitation, which is largely controlled by the respectiver terrestrial environment of the river basins.

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相关链接[Scopus记录]
收录类别
语种
英语
学校署名
第一
WOS研究方向
Engineering ; Geology ; Water Resources
WOS类目
Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS记录号
WOS:000949999800001
出版者
EI入藏号
20230913658340
EI主题词
Climate Models ; Large Dataset ; Neural Networks ; Regression Analysis ; Rivers ; Stream Flow ; Support Vector Machines ; Watersheds
EI分类号
Waterways:407.2 ; Meteorology:443 ; Atmospheric Properties:443.1 ; Surface Water:444.1 ; Fluid Flow, General:631.1 ; Computer Software, Data HAndling And Applications:723 ; Data Processing And Image Processing:723.2 ; Mathematics:921 ; Mathematical Statistics:922.2
ESI学科分类
ENGINEERING
Scopus记录号
2-s2.0-85149060809
来源库
Scopus
引用统计
被引频次[WOS]:13
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/497237
专题工学院_环境科学与工程学院
作者单位
1.School of Environmental Science and Engineering,Southern University of Science and Technology,China
2.Department of Civil and Environmental Engineering,University of Alberta,Edmonton,Canada
3.Department of Earth and Atmosphere Sciences,University of Alberta,Edmonton,Canada
4.College of Hydraulic Science and Engineering,Yangzhou University,Yangzhou,China
第一作者单位环境科学与工程学院
第一作者的第一单位环境科学与工程学院
推荐引用方式
GB/T 7714
Zhang,Shuyu,Gan,Thian Yew,Bush,Andrew B.G.,et al. Evaluation of the impact of climate change on the streamflow of major pan-Arctic river basins through machine learning models[J]. Journal of Hydrology,2023,619.
APA
Zhang,Shuyu,Gan,Thian Yew,Bush,Andrew B.G.,&Zhang,Gengxi.(2023).Evaluation of the impact of climate change on the streamflow of major pan-Arctic river basins through machine learning models.Journal of Hydrology,619.
MLA
Zhang,Shuyu,et al."Evaluation of the impact of climate change on the streamflow of major pan-Arctic river basins through machine learning models".Journal of Hydrology 619(2023).
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