Articles | Volume 23, issue 10
https://doi.org/10.5194/hess-23-4219-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-4219-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Oct 2019
Research article |
| 21 Oct 2019
| 21 Oct 2019
Assessment of climate change impact and difference on the river runoff in four basins in China under 1.5 and 2.0 °C global warming
Hongmei Xu
CORRESPONDING AUTHOR
National Climate Center, China Meteorological Administration, Beijing, 100081, China
Lüliu Liu
National Climate Center, China Meteorological Administration, Beijing, 100081, China
Yong Wang
Chongqing Meteorological Bureau, Chongqing Climate Center, Chongqing, 401147, China
Sheng Wang
Anhui Climate Center, Hefei, 230031, China
Ying Hao
Anhui Meteorological Observatory, Hefei, 230031, China
Jingjin Ma
Beijing Meteorological Disaster Prevention Center, Beijing, 100089,
China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, School of Geography and Remote Sensing, Nanjing
University of Information Science & Technology, Nanjing, 210044, China
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Cited
13 citations as recorded by crossref.
- Multi-scenario simulation of runoff and nutrient loads in a rapidly urbanizing watershed during China's Dual Carbon periods J. Wu et al. 10.1016/j.envres.2023.117272
- Enhancing ecohydrological simulation with improved dynamic vegetation growth module in SWAT S. An et al. 10.1016/j.jhydrol.2024.132042
- Appraisal of historical trends in maximum and minimum temperature using multiple non-parametric techniques over the agriculture-dominated Narmada Basin, India S. Swain et al. 10.1007/s10661-022-10534-6
- Synergistic effect of drought and rainfall events of different patterns on watershed systems J. Qiu et al. 10.1038/s41598-021-97574-z
- An Index Used to Evaluate the Applicability of Mid-to-Long-Term Runoff Prediction in a Basin Based on Mutual Information S. Xie et al. 10.3390/w16111619
- Knowledge map of Yellow River Basin’s water resources based on literature analysis Y. Liu et al. 10.1088/1755-1315/612/1/012030
- Natural revegetation has dominated annual runoff reduction since the Grain for Green Program began in the Jing River Basin, Northwest China Y. Yu et al. 10.1016/j.jhydrol.2023.129978
- Calibration guide for watershed modeling with distributed groundwater modeling: application for the SWAT+ model S. Abbas et al. 10.1080/02626667.2024.2393414
- Decreasing or increasing trends? Evidence of long-term change in river discharge over the northern Korean Peninsula, 1951–2010 J. Kim et al. 10.1007/s12040-022-01867-4
- Estimation of Watershed Hydrochemical Responses to Future Climate Changes Based on CMIP6 Scenarios in the Tianhe River (China) J. Sha et al. 10.3390/su131810102
- Climate Change Impacts on Runoff in the Fujiang River Basin Based on CMIP6 and SWAT Model Y. Wang et al. 10.3390/w14223614
- Analysis of the sediment sources of flood driven erosion and deposition in the river channel of the Fu River Basin S. Zhang et al. 10.1016/j.ijsrc.2023.04.004
- Attribution of streamflow and its seasonal variation to dual nature-society drivers using CMIP6 data and hydrological models M. Wang et al. 10.1016/j.jhydrol.2025.133314
13 citations as recorded by crossref.
- Multi-scenario simulation of runoff and nutrient loads in a rapidly urbanizing watershed during China's Dual Carbon periods J. Wu et al. 10.1016/j.envres.2023.117272
- Enhancing ecohydrological simulation with improved dynamic vegetation growth module in SWAT S. An et al. 10.1016/j.jhydrol.2024.132042
- Appraisal of historical trends in maximum and minimum temperature using multiple non-parametric techniques over the agriculture-dominated Narmada Basin, India S. Swain et al. 10.1007/s10661-022-10534-6
- Synergistic effect of drought and rainfall events of different patterns on watershed systems J. Qiu et al. 10.1038/s41598-021-97574-z
- An Index Used to Evaluate the Applicability of Mid-to-Long-Term Runoff Prediction in a Basin Based on Mutual Information S. Xie et al. 10.3390/w16111619
- Knowledge map of Yellow River Basin’s water resources based on literature analysis Y. Liu et al. 10.1088/1755-1315/612/1/012030
- Natural revegetation has dominated annual runoff reduction since the Grain for Green Program began in the Jing River Basin, Northwest China Y. Yu et al. 10.1016/j.jhydrol.2023.129978
- Calibration guide for watershed modeling with distributed groundwater modeling: application for the SWAT+ model S. Abbas et al. 10.1080/02626667.2024.2393414
- Decreasing or increasing trends? Evidence of long-term change in river discharge over the northern Korean Peninsula, 1951–2010 J. Kim et al. 10.1007/s12040-022-01867-4
- Estimation of Watershed Hydrochemical Responses to Future Climate Changes Based on CMIP6 Scenarios in the Tianhe River (China) J. Sha et al. 10.3390/su131810102
- Climate Change Impacts on Runoff in the Fujiang River Basin Based on CMIP6 and SWAT Model Y. Wang et al. 10.3390/w14223614
- Analysis of the sediment sources of flood driven erosion and deposition in the river channel of the Fu River Basin S. Zhang et al. 10.1016/j.ijsrc.2023.04.004
- Attribution of streamflow and its seasonal variation to dual nature-society drivers using CMIP6 data and hydrological models M. Wang et al. 10.1016/j.jhydrol.2025.133314
Latest update: 11 May 2025
Short summary
1.5 and 2 °C have become targets in the discussion of climate change impacts. However, climate research is also challenged to provide more robust information on the impact of climate change at local and regional scales to assist the development of sound scientific adaptation and mitigation measures. This study assessed the impacts and differences of 1.5 and 2.0 °C global warming on basin-scale river runoff by examining four river basins covering a wide hydroclimatic setting in China.
1.5 and 2 °C have become targets in the discussion of climate change impacts. However, climate...
