Abstract Long Short-Term Memory (LSTM) has recently emerged as a crucial tool for
scientific research in hydrology and water resources. Despite its widespread use, a …

Seasonal hydrological forecasts play a critical role in water resources management. The
Copernicus Climate Change Service (C3S) data store provides open access to monthly …

The operation of dams and reservoirs is critical for water resource management, including
flood control, irrigation, hydropower generation, and environmental conservation. Traditional …

In recent years, there has been a growing interest in using artificial intelligence (AI) for
rainfall-runoff modelling, as it has shown promising adaptability in this context. The current …

Hydrological forecasting is an indispensable tool in intelligent water conservation for flood
control and drought mitigation. Due to the influences of human activities and climate …

Energy planning in Brazil is based on assessing the availability of hydrological resources in
the future, thus guaranteeing the supply of energy based on hydroelectric generation …

In recent years, extreme learning machines (ELM) have been used to accurately predict a
variety of hydrological variables (eg, streamflow, precipitation, river water quality). Using the …

Accurate runoff forecasting results can not only provide an important basis for flood control
scheduling, but also provide scientific support for water resources optimization, which …

Long-term inflow forecasting is extremely important for reasonable dispatch schedules of
hydropower stations and efficient utilization plans of water resources. In this paper, a novel …

This study investigates the stability of an artificial dam used in an underground reservoir in a
coal mine under periodic weighting imposed by overlying rock strata. For this purpose, cyclic …