Articles | Volume 20, issue 7
https://doi.org/10.5194/hess-20-2573-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-2573-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Dominant climatic factors driving annual runoff changes at the catchment scale across China
Zhongwei Huang
State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China
State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Dawen Yang
State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
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34 citations as recorded by crossref.
- Projection of future runoff change using climate elasticity method derived from Budyko framework in major basins across China W. Xing et al. 10.1016/j.gloplacha.2018.01.006
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- Evaluating spatial differences in the contributions of climate variability and human activity to runoff change in the Haihe River basin F. Xu et al. 10.1080/02626667.2021.1974023
- A conditional copula model to identify the response of runoff probability to climatic factors H. Han et al. 10.1016/j.ecolind.2022.109415
- Quantifying the impacts of climate change and vegetation change on decreased runoff in china's yellow river basin D. Wang et al. 10.1016/j.ecohyd.2021.10.002
- Impacts of climate change and anthropogenic stressors on runoff variations in major river basins in China since 1950 X. Bai & W. Zhao 10.1016/j.scitotenv.2023.165349
- Deducing Climatic Elasticity to Assess Projected Climate Change Impacts on Streamflow Change across China J. Liu et al. 10.1002/2017JD026701
- Applicability of 12 PET estimation methods in different climate regions in China L. Zhao et al. 10.2166/nh.2021.128
- Evaluating main drivers of runoff changes across China from 1956 to 2000 by using different budyko-based elasticity methods J. Fu et al. 10.1016/j.jenvman.2022.117070
- Attribution of streamflow changes across the globe based on the Budyko framework J. Liu et al. 10.1016/j.scitotenv.2021.148662
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- A framework for attributing runoff changes based on a monthly water balance model: An assessment across China Y. He et al. 10.1016/j.jhydrol.2022.128606
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- Diagnosing the compound seasonal soil moisture-hydroclimate interaction regime on the Tibetan Plateau using multi-high-resolution reanalysis products and one regional climate model D. Liu et al. 10.1016/j.jhydrol.2023.129517
- Runoff Change Characteristics and Response to Climate Variability and Human Activities Under a Typical Basin of Natural Tropical Rainforest Converted to Monoculture Rubber Plantations S. Xue et al. 10.3390/f15111918
- Unusual recent prolonged low flow in the Moqu River, northeastern Tibetan Plateau, inferred from tree-ring width variations J. Li et al. 10.1016/j.catena.2023.107110
- Spatial–temporal changes in runoff and terrestrial ecosystem water retention under 1.5 and 2 °C warming scenarios across China R. Zhai et al. 10.5194/esd-9-717-2018
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- Evolution and driving mechanism of runoff in the Han River basin from 1980 to 2020 under changing environments Y. Luo et al. 10.1002/eco.2708
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Latest update: 14 Dec 2024
Short summary
The hydrologic processes have been influenced by different climatic factors. However, the dominant climatic factor driving annual runoff change is still unknown in many catchments in China. By using the climate elasticity method proposed by Yang and Yang (2011), the elasticity of runoff to climatic factors was estimated, and the dominant climatic factors driving annual runoff change were detected at catchment scale over China.
The hydrologic processes have been influenced by different climatic factors. However, the...