全球主要流域径流变化趋势分析与定量归因

任婵月; 张艺帆; 李正阳; 鲍振鑫; 王国庆; 刘剑宇

doi:10.3799/dqkx.2022.330

Volume 48 Issue 9

Sep. 2023

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Article Navigation > Earth Science > 2023 > 48(9): 3518-3525

Ren Chanyue, Zhang Yifan, Li Zhengyang, Bao Zhenxin, Wang Guoqing, Liu Jianyu, 2023. Evaluation and Quantitative Attribution of Streamflow Trends over the Global Major River Basins. Earth Science, 48(9): 3518-3525. doi: 10.3799/dqkx.2022.330

Citation:

Ren Chanyue, Zhang Yifan, Li Zhengyang, Bao Zhenxin, Wang Guoqing, Liu Jianyu, 2023. Evaluation and Quantitative Attribution of Streamflow Trends over the Global Major River Basins. Earth Science, 48(9): 3518-3525. doi: 10.3799/dqkx.2022.330

Citation:

Ren Chanyue, Zhang Yifan, Li Zhengyang, Bao Zhenxin, Wang Guoqing, Liu Jianyu, 2023. Evaluation and Quantitative Attribution of Streamflow Trends over the Global Major River Basins. Earth Science, 48(9): 3518-3525. doi: 10.3799/dqkx.2022.330

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Evaluation and Quantitative Attribution of Streamflow Trends over the Global Major River Basins

doi: 10.3799/dqkx.2022.330

Ren Chanyue^{1, 2
,
,},
Zhang Yifan¹,
Li Zhengyang¹,
Bao Zhenxin²,
Wang Guoqing²,
Liu Jianyu^{1, 2
,
,}

1.
School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
2.
State Key Laboratory of Hydrology‑Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China

Received Date: 2022-05-17
Available Online: 2023-10-07
Publish Date: 2023-09-25

Abstract

Abstract

Limited by the available gauging hydrological data, most studies concerning streamflow change are restricted to the regional scale. By combining two streamflow datasets and extracting their corresponding meteorological data, we obtained the most complete global hydrometeorological dataset. Furthermore, we applied the Mann-Kendall test to examine the streamflow change at 4 469 global stations. Lastly, based on the random forest method, we developed an attribution framework to quantify the contributions of precipitation (P), potential evapotranspiration (PET), leaf area index (LAI) and snowmelt to observe streamflow change. The results indicate that the global streamflow change is mainly showing a decreasing trend, with 28.2% (9.7%) of global stations showing significantly decreasing (increasing) trends. For 42.2% of global stations, streamflow changes are dominated by the LAI, while P, PET, and snowmelt dominate 35.3%, 12.5%, and 10.0%, respectively.
- streamflow change,
- quantitative attribution,
- vegetation,
- snowmelt,
- global scale,
- geographical distribution,
- hydrology

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References(37)

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Evaluation and Quantitative Attribution of Streamflow Trends over the Global Major River Basins

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