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

Inherent hazards such as landslides pose a threat to human life and may inflict significant
harm on the surrounding ecosystem. For planning, controlling, and avoiding landslide …

The community's well-being and economic livelihoods are heavily influenced by the water
level of watersheds. The changes in water levels directly affect the circulation processes of …

River water level usually given by nonlinear and nonstationary time series and affected by
numerous complex spatial and temporal factors. But not all input factors are positively …

The challenge to determine the best policies for hydropower multiple reservoir systems is a
high-dimensional and nonlinear problem, making it challenging to attain a global solution …

Water level monitoring in lakes and reservoirs is essential for effective water resource
management, especially in remote areas where traditional ground sensors are costly and …

Temperature rhythm changes in outflows after reservoir construction cause thermal pollution
in downstream rivers, which is unfavorable to the ecological health of downstream rivers …

Accurate prediction of instantaneous high lake water levels and flood flows (flood stages)
from micro-catchments to big river basins are critical for flood forecasting. Lake Carl …

In recent times, the densely populated Bengaluru metropolis in India has faced challenges
related to water scarcity, particularly relying on the Krishna Raja Sagara (KRS) dam. The …

An accurate prediction of lake water levels is of great significance to water resource
regulation, flood prevention and mitigation. However, water level fluctuations have been …