Enhancing physically-based hydrological modeling with an ensemble of machine-learning reservoir operation modules under heavy human regulation using easily …
Dams and reservoirs have significantly altered river flow dynamics worldwide. Accurately
representing reservoir operations in hydrological models is crucial yet challenging. Detailed …
representing reservoir operations in hydrological models is crucial yet challenging. Detailed …
Enhancing streamflow simulation using hybridized machine learning models in a semi-arid basin of the Chinese loess Plateau
Accurate and efficient streamflow simulations are crucial in arid and semi-arid regions for
water resources management. Process-based hydrological models generally perform …
water resources management. Process-based hydrological models generally perform …
A hybrid hydrologic modelling framework with data-driven and conceptual reservoir operation schemes for reservoir impact assessment and predictions
Reservoirs have been built worldwide to address the water-related issues. To fully
understand their potential impacts on the hydrologic regime, explicitly parameterizing …
understand their potential impacts on the hydrologic regime, explicitly parameterizing …
Machine learning improvement of streamflow simulation by utilizing remote sensing data and potential application in guiding reservoir operation
Hydro-meteorological datasets are key components for understanding physical hydrological
processes, but the scarcity of observational data hinders their potential application in poorly …
processes, but the scarcity of observational data hinders their potential application in poorly …
Improving cascade reservoir inflow forecasting and extracting insights by decomposing the physical process using a hybrid model
Accurate and reliable inflow forecasting is essential for efficient reservoir operation, which
serves various purposes such as flood control, hydropower generation, water supply and …
serves various purposes such as flood control, hydropower generation, water supply and …
CMADS-driven simulation and analysis of reservoir impacts on the streamflow with a simple statistical approach
The reservoir operation is a notable source of uncertainty in the natural streamflow and it
should be represented in hydrological modelling to quantify the reservoir impact for more …
should be represented in hydrological modelling to quantify the reservoir impact for more …
Coupling machine learning into hydrodynamic models to improve river modeling with complex boundary conditions
Rivers play an important role in water supply, irrigation, navigation, and ecological
maintenance. Forecasting the river hydrodynamic changes is critical for flood management …
maintenance. Forecasting the river hydrodynamic changes is critical for flood management …
[HTML][HTML] Comparison of Process-Driven SWAT Model and Data-Driven Machine Learning Techniques in Simulating Streamflow: A Case Study in the Fenhe River …
Z Jiang, B Lu, Z Zhou, Y Zhao - Sustainability, 2024 - mdpi.com
Hydrological modeling is a crucial tool in hydrology and water resource management for
analyzing runoff evolution patterns. In this study, the process-driven soil and water …
analyzing runoff evolution patterns. In this study, the process-driven soil and water …
[HTML][HTML] Extracting operation behaviors of cascade reservoirs using physics-guided long-short term memory networks
Study region Qingjiang cascade reservoir, China. Study focus Reservoirs regulate the
natural streamflow to utilize water resources comprehensively. How to mine the existing …
natural streamflow to utilize water resources comprehensively. How to mine the existing …
[HTML][HTML] A coupled hydrologic-machine learning modelling framework to support hydrologic modelling in river basins under Interbasin Water Transfer regimes
AH Essenfelder, C Giupponi - Environmental Modelling & Software, 2020 - Elsevier
Abstract Interbasin Water Transfer (IWT) is often a complex decision-making process that
depends on factors ranging from hydro-meteorological conditions to socio-economic …
depends on factors ranging from hydro-meteorological conditions to socio-economic …