Droughts have impacted human society throughout its history. However, the occurrence of
severe drought events in the last century and the concerns on the potential effects of climate …

Conventional machine learning models have been widely used for reservoir inflow and
rainfall prediction. Nowadays, researchers focus on a new computing architecture in the …

This study investigates the feasibility of a relevance vector machine tuned with improved
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …

Rapid and accurate prediction of metal bioaccumulation in crops are important for assessing
metal environmental risks. We aimed to incorporate machine learning modeling methods to …

Variations in rainfall negatively affect crop productivity and impose severe climatic
conditions in develo** regions. Studies that focus on climatic variations such as variability …

Wind power as a renewable source of energy has numerous economic, environmental, and
social benefits. To enhance and control renewable wind power, it is vital to utilize models …

Accurate long-term streamflow and flood forecasting have always been an important
research direction in hydrology research. Nowadays, climate change, floods, and other …

Long term drought management requires proper assessment and characterization of
drought hazard, vulnerability and risk. This is particularly important for an agriculture …

The most important motivation for streamflow forecasts is flood prediction and longtime
continuous prediction in hydrological research. As for many traditional statistical models …

Global Climate change and local human activities have profoundly affected the regional
hydrological cycle and water resources. It is imperative to explore the potential changes in …