Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2705-2021
© Author(s) 2021. 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-25-2705-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Causal effects of dams and land cover changes on flood changes in mainland China
Wencong Yang
Department of Hydraulic Engineering, Tsinghua University, Beijing,
100084, China
State Key Laboratory of Hydro-Science and Engineering, Tsinghua
University, Beijing, 100084, China
Department of Hydraulic Engineering, Tsinghua University, Beijing,
100084, China
State Key Laboratory of Hydro-Science and Engineering, Tsinghua
University, Beijing, 100084, China
Dawen Yang
Department of Hydraulic Engineering, Tsinghua University, Beijing,
100084, China
State Key Laboratory of Hydro-Science and Engineering, Tsinghua
University, Beijing, 100084, China
Aizhong Hou
Hydrological Forecast Center, Ministry of Water Resources of the
People's Republic of China, Beijing, 100053, China
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17 citations as recorded by crossref.
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17 citations as recorded by crossref.
- The relative importance of antecedent soil moisture and precipitation in flood generation in the middle and lower Yangtze River basin Q. Ran et al. 10.5194/hess-26-4919-2022
- Contribution of urbanisation to non-stationary river flow in the UK S. Han et al. 10.1016/j.jhydrol.2022.128417
- The consequences of neglecting reservoir storage in national‐scale hydrologic models: An appraisal of key streamflow statistics G. Hodgkins et al. 10.1111/1752-1688.13161
- Effect of Waste Tire Rubber Particles on Concrete Abrasion Resistance Under High-Speed Water Flow L. Feng et al. 10.1186/s40069-021-00475-8
- Spatiotemporal variation of hydrological connectivity and its threshold effects on flood dynamics: An examination in the arid and semi-arid regions, China C. Deng et al. 10.1016/j.scitotenv.2024.173406
- Analysing Urban Flooding Risk with CMIP5 and CMIP6 Climate Projections R. Oyelakin et al. 10.3390/w16030474
- Impacts of climate change and evapotranspiration on shrinkage of Aral Sea S. Huang et al. 10.1016/j.scitotenv.2022.157203
- Prediction of water level at Huayuankou station based on rating curve M. Li et al. 10.1038/s41598-024-71510-3
- Hydrological alteration and its effect on the eco-hydrological state in Tangon river traversing Bangladesh and India S. Pal & P. Singha 10.1007/s10668-023-04296-5
- A New Physically Based Index to Quantify the Impact of Multiple Reservoirs on Flood Frequency at the Catchment Scale Based on the Concept of Equivalent Reservoir S. Cipollini et al. 10.1029/2021WR031470
- The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches T. Over et al. 10.1016/j.jhydrol.2024.132281
- Linking river flow modification with wetland hydrological instability, habitat condition, and ecological responses S. Pal & P. Singha 10.1007/s11356-022-22761-y
- Statistical Attribution of the Influence of Urban and Tree Cover Change on Streamflow: A Comparison of Large Sample Statistical Approaches B. Anderson et al. 10.1029/2021WR030742
- Effects of cascading reservoirs on streamflow and sediment load with machine learning reconstructed time series in the upper Yellow River basin J. Fan et al. 10.1016/j.catena.2023.107008
- The Impact of a Hydroelectric Power Plant on a Regional Climate in Portugal A. Fonseca & J. Santos 10.3390/atmos12111400
- Water Reservoirs as a Driver of Anthropogenic Changes in Landscape and Transport Networks: The Czech Republic Experience M. Havlíček et al. 10.3390/w14121870
- Toward a Catchment‐Scale Assessment of Flood Peak Attenuation by Multiple Reservoirs S. Cipollini et al. 10.1029/2022WR032821
Latest update: 20 Nov 2024
Short summary
This study quantified the causal effects of land cover changes and dams on the changes in annual maximum discharges (Q) in 757 catchments of China using panel regressions. We found that a 1 % point increase in urban areas causes a 3.9 % increase in Q, and a 1 unit increase in reservoir index causes a 21.4 % decrease in Q for catchments with no dam before. This study takes the first step to explain the human-caused flood changes on a national scale in China.
This study quantified the causal effects of land cover changes and dams on the changes in annual...