This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

This paper surveys flood map** and modelling in Nigeria in regard to frequency and
impact of floods in the last decade. The aim is to understand the frequency and patterns of …

Accurate and efficient prediction of well production is essential for extending a well's life
cycle and improving reservoir recovery. Traditional models require expensive computational …

Streamflow forecasting is critical for real-time water resources management and flood early
warning. In this study, we introduce a novel attention-based Long-Short Term Memory …

The groundwater resources are the essential sources for irrigation and agriculture
management. Forecasting groundwater levels (GWL) for the current and future periods is an …

Demand forecasting is the basic aspect of supply chain management. It has important
impacts on planning, capacity and inventory control decisions. Seasonality is a common …

Reservoir water level (RWL) prediction has become a challenging task due to spatio-
temporal changes in climatic conditions and complicated physical process. The Red Hills …

Rainfall variation causes frequent unexpected disasters all over the world. Increasing rainfall
intensity significantly escalates soil erosion and soil erosion related hazards. Forecasting …

Groundwater level (GWL) prediction is important for ecological protection and resource
utilization; it helps in formulating policies for artificial groundwater recharge, modifying the …

Water level (WL) is an essential indicator of lakes and sensitive to climate change.
Fluctuations of lake WL may significantly affect water supply security and ecosystem stability …