Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-831-2018
© Author(s) 2018. 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-22-831-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
31 Jan 2018
Research article |
| 31 Jan 2018
Deduction of reservoir operating rules for application in global hydrological models
Hubertus M. Coerver
CORRESPONDING AUTHOR
Water Resources, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Delft, the Netherlands
UNESCO-IHE Institute for Water Education, Delft, the Netherlands
Martine M. Rutten
Water Resources, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Delft, the Netherlands
Nick C. van de Giesen
Water Resources, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Delft, the Netherlands
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- Implications of water management representations for watershed hydrologic modeling in the Yakima River basin J. Qiu et al. 10.5194/hess-23-35-2019
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- Deriving representative reservoir operation rules using a hidden Markov-decision tree model Q. Zhao & X. Cai 10.1016/j.advwatres.2020.103753
- Streamflow simulation improvements enabled by a state‐of‐the‐art algorithm for reservoir routing in the U.S. National Water Model D. Li et al. 10.1111/1752-1688.13244
- Water storage and release policies for all large reservoirs of conterminous United States S. Turner et al. 10.1016/j.jhydrol.2021.126843
- Estimating Reservoir Inflow and Outflow From Water Level Observations Using Expert Knowledge: Dealing With an Ill‐Posed Water Balance Equation in Reservoir Management J. Song et al. 10.1029/2020WR028183
- Online generic diagnostic reservoir operation tools Q. Zhao et al. 10.1016/j.envsoft.2020.104918
- Inferring efficient operating rules in multireservoir water resource systems: A review H. Macian‐Sorribes & M. Pulido‐Velazquez 10.1002/wat2.1400
- Toward Improved Parameterizations of Reservoir Operation in Ungauged Basins: A Synergistic Framework Coupling Satellite Remote Sensing, Hydrologic Modeling, and Conceptual Operation Schemes N. Dong et al. 10.1029/2022WR033026
- A hybrid hydrologic modelling framework with data-driven and conceptual reservoir operation schemes for reservoir impact assessment and predictions N. Dong et al. 10.1016/j.jhydrol.2023.129246
- Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. 10.5194/gmd-15-4163-2022
- Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWAT M. Yasir et al. 10.3390/w12051370
- Natural and anthropogenic controls on lake water‐level decline and evaporation‐to‐inflow ratio in the conterminous United States C. Fergus et al. 10.1002/lno.12097
- National framework for ranking lakes by potential for anthropogenic hydro-alteration C. Fergus et al. 10.1016/j.ecolind.2020.107241
- Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain M. Sadki et al. 10.5194/gmd-16-427-2023
- A box-model approach for reservoir operation during extreme rainfall events: A case study P. Anandharuban et al. 10.1007/s12040-019-1258-7
- Spatial variability in Alpine reservoir regulation: deriving reservoir operations from streamflow using generalized additive models M. Brunner & P. Naveau 10.5194/hess-27-673-2023
- Application of artificial neural network for optimal operation of a multi-purpose multi-reservoir system, II: optimal solution and performance evaluation S. Shaikh 10.1007/s40899-020-00423-6
- Improving the representation of groundwater processes in a large-scale water resources model H. Baron et al. 10.1080/02626667.2023.2208755
- Data-Driven Dam Outflow Prediction Using Deep Learning with Simultaneous Selection of Input Predictors and Hyperparameters Using the Bayesian Optimization Algorithm V. Tran et al. 10.1007/s11269-023-03677-9
- Real-time streamflow forecasting in a reservoir-regulated river basin using explainable machine learning and conceptual reservoir module K. Sushanth et al. 10.1016/j.scitotenv.2022.160680
- Generalizing Reservoir Operations Using a Piecewise Classification and Regression Approach L. Ford & A. Sankarasubramanian 10.1029/2023WR034890
- Water resources management in a reservoir-regulated basin: Implications of reservoir network layout on streamflow and hydrologic alteration N. Dong et al. 10.1016/j.jhydrol.2020.124903
- Comparison of generalized non-data-driven lake and reservoir routing models for global-scale hydrologic forecasting of reservoir outflow at diurnal time steps J. Gutenson et al. 10.5194/hess-24-2711-2020
- Future precipitation, hydrology and hydropower generation in the Yalong River Basin: Projections and analysis Y. Zhao et al. 10.1016/j.jhydrol.2021.126738
- A generalized reservoir module for SWAT applications in watersheds regulated by reservoirs Z. Wang et al. 10.1016/j.jhydrol.2022.128770
- A Hierarchical Temporal Scale Framework for Data‐Driven Reservoir Release Modeling Q. Longyang & R. Zeng 10.1029/2022WR033922
- Developing water supply reservoir operating rules for large-scale hydrological modelling S. Salwey et al. 10.5194/hess-28-4203-2024
- Hydrological cycle and water resources in a changing world: A review D. Yang et al. 10.1016/j.geosus.2021.05.003
- Developing a generic data-driven reservoir operation model Y. Chen et al. 10.1016/j.advwatres.2022.104274
- Machine Learning Assisted Reservoir Operation Model for Long‐Term Water Management Simulation S. Gangrade et al. 10.1111/1752-1688.13060
- Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling C. Rougé et al. 10.5194/hess-25-1365-2021
- Development of reservoir module for a distributed conceptual hydrological model K. Sushanth et al. 10.1007/s11600-023-01035-2
- Data‐Driven Reservoir Simulation in a Large‐Scale Hydrological and Water Resource Model S. Turner et al. 10.1029/2020WR027902
- Advances in global hydrology–crop modelling to support the UN’s Sustainable Development Goals in South Asia H. Biemans & C. Siderius 10.1016/j.cosust.2019.10.005
- Application of artificial neural network for optimal operation of a multi-purpose multi-reservoir system, I: initial solution and selection of input variables S. Shaikh 10.1007/s40899-020-00411-w
- Simulating river regulation and reservoir performance in a continental-scale hydrologic model A. Tefs et al. 10.1016/j.envsoft.2021.105025
- Model Estimates of China's Terrestrial Water Storage Variation Due To Reservoir Operation N. Dong et al. 10.1029/2021WR031787
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Latest update: 23 Nov 2024
Short summary
Global hydrological models aim to model hydrological processes, like flows in a river, on a global scale, as opposed to traditional models which are regional. A big challenge in creating these models is the inclusion of impacts on the hydrological cycle caused by humans, for example by the operation of large (hydropower) dams. The presented study investigates a new way to include these impacts by dams into global hydrological models.
Global hydrological models aim to model hydrological processes, like flows in a river, on a...
