Flash flooding is one of the most hazardous natural events, and it is frequently responsible
for loss of life and severe damage to infrastructure and the environment. Research into the …

This paper presents a survey of simulation and optimization modeling approaches used in
reservoir systems operation problems. Optimization methods have been proved of much …

Rainfall plays a main role in managing the water level in the reservoir. The unpredictable
amount of rainfall due to the climate change can cause either overflow or dry in the reservoir …

Rainfall nowcasting supports emergency decision-making in hydrological, agricultural, and
economical sectors. However, short-term prediction is challenging because meteorological …

Accurate and reliable water temperature forecasting models can help in environmental
impact assessment as well as in effective fisheries management in river systems. In this …

Accurate prediction of crop evapotranspiration (ET c) can provide a scientific basis for
improving water use efficiency, rational allocation of water resources, and sustainable …

In this study, the application of Artificial Neural Networks (ANN) and Multiple regression
analysis (MR) to forecast long-term seasonal spring rainfall in Victoria, Australia was …

Accurate forecasting of rainfall is extremely important due to its complex nature and
enormous impacts on hydrology, floods, droughts, agriculture, and monitoring of pollutant …

In this paper, we evaluate the performance of 8 statistical and machine learning methods,
driven by atmospheric synoptic patterns, for long-term daily rainfall prediction in a semi-arid …

Drought forecasting is a critical component of drought risk management. The paper
describes an approach to drought forecasting, which makes use of Artificial Neural Network …