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)

References

Ahn, K. H., Merwade, V., 2014. Quantifying the Relative Impact of Climate and Human Activities on Streamflow. Journal of Hydrology, 515: 257-266. https://doi.org/10.1016/j.jhydrol.2014.04.062

Berghuijs, W. R., Larsen, J. R., van Emmerik, T. H. M., et al., 2017. A Global Assessment of Runoff Sensitivity to Changes in Precipitation, Potential Evaporation, and Other Factors. Water Resources Research, 53(10): 8475-8486. https://doi.org/10.1002/2017wr021593

Breiman, L., 2001. Random Forests. Machine Learning, 45(1): 5-32. https://doi.org/10.1023/A:1010933404324

Ceballos-Barbancho, A., Morán-Tejeda, E., Luengo-Ugidos, M. Á., et al., 2008. Water Resources and Environmental Change in a Mediterranean Environment: The South-West Sector of the Duero River Basin (Spain). Journal of Hydrology, 351(1-2): 126-138. https://doi.org/10.1016/j.jhydrol.2007.12.004

Chai, R. F., Chen, H. S., Sun, S. L., 2018. Attribution Analysis of Dryness/Wetness Change over China Based on SPEI. Journal of the Meteorological Sciences, 38(4): 423-431 (in Chinese with English abstract).

Chang, Q. X., Sun, Z., Y., Pan, Z., et al., 2022. Stream Runoff Formation and Hydrological Regulation Mechanism in Mountainous Alpine Regions: A Review. Earth Science, Online (in Chinese with English abstract).

Chen, Z. W., 2017. Spatio-Temporal Evolution of Runoff in China under Climate Change (Dissertation). Tsinghua University, Beijing, 48-59 (in Chinese with English abstract).

Gu, X. H., Zhang, Q., Li, J. F., et al., 2020. Impacts of Anthropogenic Warming and Uneven Regional Socio-Economic Development on Global River Flood Risk. Journal of Hydrology, 590: 125262. https://doi.org/10.1016/j.jhydrol.2020.125262

Hannaford, J., Buys, G., 2012. Trends in Seasonal River Flow Regimes in the UK. Journal of Hydrology, 475: 158-174. https://doi.org/10.1016/j.jhydrol.2012.09.044

Hao, Z. C., Li, L., Wang, J. H., et al., 2007. Impact of Climate Change on Surface Water Resources. Earth Science, 32(3): 425-432 (in Chinese with English abstract).

Li, Q., Wei, X. H., Zhang, M. F., et al., 2017. Forest Cover Change and Water Yield in Large Forested Watersheds: A Global Synthetic Assessment. Ecohydrology, 10(4): e1838. https://doi.org/10.1002/eco.1838

Li, T. S., Xia, J., 2018. Analysis of the Influence of Climate and Vegetation Change on Runoff in the Middle and Upper Reaches of the Pearl River Basin Based on Budyko Hypothesis. Advances in Earth Science, 33(12): 1248-1258 (in Chinese with English abstract).

Li, Z. X., He, Y. Q., Wen, Y. H., et al., 2010. Response of Runoff in High Altitude Area over the Typical Chinese Monsoonal Temperate Glacial Region to Climate Warming. Earth Science, 35(1): 43-50 (in Chinese with English abstract).

Liu, N., Harper, R. J., Smettem, K. R. J., et al., 2019. Responses of Streamflow to Vegetation and Climate Change in Southwestern Australia. Journal of Hydrology, 572: 761-770. https://doi.org/10.1016/j.jhydrol.2019.03.005

Musselman, K. N., Addor, N., Vano, J. A., et al., 2021. Winter Melt Trends Portend Widespread Declines in Snow Water Resources. Nature Climate Change, 11(5): 418-424. https://doi.org/10.1038/s41558-021-01014-9

Ning, T. T., Li, Z., Liu, W. Z., 2017. Vegetation Dynamics and Climate Seasonality Jointly Control the Interannual Catchment Water Balance in the Loess Plateau under the Budyko Framework. Hydrology and Earth System Sciences, 21(3): 1515-1526. https://doi.org/10.5194/hess-21-1515-2017

Rodell, M., Houser, P. R., Jambor, U., et al., 2004. The Global Land Data Assimilation System. Bulletin of the American Meteorological Society, 85(3): 381-394. https://doi.org/10.1175/bams-85-3-381

Stein, L., Clark, M. P., Knoben, W. J. M., et al., 2021. How do Climate and Catchment Attributes Influence Flood Generating Processes? A Large-Sample Study for 671 Catchments across the Contiguous USA. Water Resources Research, 57(4): e2020WR028300. https://doi.org/10.1029/2020WR028300

Sun, S. L., Chen, H. S., Ju, W. M., et al., 2014. On the Attribution of the Changing Hydrological Cycle in Poyang Lake Basin, China. Journal of Hydrology, 514: 214-225. https://doi.org/10.1016/j.jhydrol.2014.04.013

Teuling, A. J., de Badts, E. A. G., Jansen, F. A., et al., 2019. Climate Change, Reforestation/Afforestation, and Urbanization Impacts on Evapotranspiration and Streamflow in Europe. Hydrology and Earth System Sciences, 23(9): 3631-3652. https://doi.org/10.5194/hess-23-3631-2019

Wang, S., Fu, B. J., He, C. S., et al., 2011. A Comparative Analysis of Forest Cover and Catchment Water Yield Relationships in Northern China. Forest Ecology and Management, 262(7): 1189-1198. https://doi.org/10.1016/j.foreco.2011.06.013

Wei, X. H., Li, Q., Zhang, M. F., et al., 2018. Vegetation Cover—Another Dominant Factor in Determining Global Water Resources in Forested Regions. Global Change Biology, 24(2): 786-795. https://doi.org/10.1111/gcb.13983

Xia, J., Shi, W., 2016. Perspective on Water Security Issue of Changing Environment in China. Jaurnal of Hydraulic Engineering, 47(3): 292-301 (in Chinese with English abstract).

Yang, D. W., Zhang, S. L., Xu, X. Y., 2015. Attribution Analysis for Runoff Decline in Yellow River Basin during Past Fifty Years Based on Budyko Hypothesis. Scientia Sinica (Technologica), 45(10): 1024-1034 (in Chinese with English abstract). doi: 10.1360/N092015-00013

Yang, Y. T., Zhang, S. L., McVicar, T. R., et al., 2018. Disconnection between Trends of Atmospheric Drying and Continental Runoff. Water Resources Research, 54(7): 4700-4713. https://doi.org/10.1029/2018WR022593

Yuan, X., Jiao, Y., Yang, D. W., et al., 2018. Reconciling the Attribution of Changes in Streamflow Extremes from a Hydroclimate Perspective. Water Resources Research, 54(6): 3886-3895. https://doi.org/10.1029/2018WR022714

Zhou, G. Y., Wei, X. H., Luo, Y., et al., 2010. Forest Recovery and River Discharge at the Regional Scale of Guangdong Province, China. Water Resources Research, 46(9): W09503. https://doi.org/10.1029/2009WR008829

Zhou, S., Yu, B. F., Huang, Y. F., et al., 2015. The Complementary Relationship and Generation of the Budyko Functions. Geophysical Research Letters, 42(6): 1781-1790. https://doi.org/10.1002/2015GL063511

Zhu, Z. C., Bi, J., Pan, Y. Z., et al., 2013. Global Data Sets of Vegetation Leaf Area Index (LAI)₃g and Fraction of Photosynthetically Active Radiation (FPAR)₃g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI₃g) for the Period 1981 to 2011. Remote Sensing, 5(2): 927-948. https://doi.org/10.3390/rs5020927

柴荣繁, 陈海山, 孙善磊, 2018. 基于SPEI的中国干湿变化趋势归因分析. 气象科学, 38(4): 423-431 https://www.cnki.com.cn/Article/CJFDTOTAL-QXKX201804001.htm

常启昕, 孙自永, 潘钊, 等, 2022. 高寒山区河道径流的形成与水文调节机制研究进展. 地球科学, 网络首发. https://kns.cnki.net/kcms/detail/42.1874.p.20220407.1648.008.html

陈钟望, 2017. 气候变化下我国径流的时空演变(硕士学位论文). 北京: 清华大学, 48-59.

郝振纯, 李丽, 王加虎, 等, 2007. 气候变化对地表水资源的影响. 地球科学, 32(3): 425-432. http://www.earth-science.net/article/id/3471

李天生, 夏军, 2018. 基于Budyko理论分析珠江流域中上游地区气候与植被变化对径流的影响. 地球科学进展, 33(12): 1248-1258. https://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ201812007.htm

李宗省, 何元庆, 温煜华, 等, 2010. 我国典型海洋型冰川区高海拔区输出水量变化对气候变暖的响应. 地球科学, 35(1): 43-50. doi: 10.3799/dqkx.2010.005

夏军, 石卫, 2016. 变化环境下中国水安全问题研究与展望. 水利学报, 47(3): 292-301. https://www.cnki.com.cn/Article/CJFDTOTAL-SLXB201603007.htm

杨大文, 张树磊, 徐翔宇, 2015. 基于水热耦合平衡方程的黄河流域径流变化归因分析. 中国科学: 技术科学, 45(10): 1024-1034. https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK201510003.htm

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

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