Accurate prediction of runoff is an important foundation for optimizing water resource
allocation and reservoir scheduling operations. However, due to its complex characteristics …

Drought being one of the costliest natural hazards and its adverse impacts towards the
agricultural and socioeconomic sectors has gained concerns among the researchers …

Forecasting of reservoir inflow is one of the most vital concerns when it comes to managing
water resources at reservoirs to mitigate natural hazards such as flooding. Machine learning …

The changing climate and global warming have rendered existing surface water insufficient,
which is projected to adversely influence the irrigated farming systems globally …

This paper presents a simple and effective framework to combine various data-driven
machine learning (ML) algorithms for short-range reservoir inflow forecasting, including the …

Daily groundwater level is an indicator of groundwater resources. Accurate and reliable
groundwater level (GWL) prediction is crucial for groundwater resources management and …

Accurately predicting hydrological runoff is crucial for water resource allocation and power
station scheduling. However, there is no perfect model that can accurately predict future …

Improving the accuracy of hydrological prediction for long-term annual runoff series is
important for water resources management and planning. In this study, the complementary …

To improve the accuracy of medium and long-term precipitation prediction, we propose an
innovative application of the wavelet decomposition-prediction-reconstruction model …

Study region Song bengue confluent in Cameroon regulates the river flow rate for hydro
energy production with input from four upstream reservoirs. Study focus Deep learning …