Detecting the main driving force of runoff change in the Beiluo River Basin, China-Reference-Cited by-同舟云学术

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Detecting the main driving force of runoff change in the Beiluo River Basin, China

Published:2023-07-17 Issue:38 Volume:30 Page:89823-89837
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Yang Tian,Yang Xiao,Jia Chao

Funder

Special Foundation of Shandong Engineering Research Center for Groundwater Environmental Protection and Remediation

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-023-28537-2.pdf

Reference56 articles.

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2. Ali M, Prasad R, Xiang Y, Yaseen ZM (2020) Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts. J Hydrol 584. https://doi.org/10.1016/j.jhydrol.2020.124647

3. Allan RP, Barlow M, Byrne MP, Cherchi A, Douville H, Fowler HJ, Gan TY, Pendergrass AG, Rosenfeld D, Swann ALS, Wilcox LJ, Zolina O (2020) Advances in understanding large-scale responses of the water cycle to climate change. Ann. N.Y. Acad Sci 1472:49–75. https://doi.org/10.1111/nyas.14337

4. Baker TJ, Miller SN (2013) Using the soil and water assessment tool (swat) to assess land use impact on water resources in an east african watershed. J Hydrol 486:100–111. https://doi.org/10.1016/j.jhydrol.2013.01.041

5. Boé J (2021) The physiological effect of co2 on the hydrological cycle in summer over europe and land-atmosphere interactions. Clim Change 167(1-2):21. https://doi.org/10.1007/s10584-021-03173-2

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