Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …

Artificial intelligence (AI) and machine learning (ML) are novel techniques to detect hidden
patterns in environmental data. Despite their capabilities, these novel technologies have not …

Accurate and reliable groundwater level (GWL) forecasting is crucial for develo**
strategies and managing water resources. In recent years, Machine Learning (ML) has …

The present study aims to thoroughly review GWL depletion monitoring studies completed
between 2000 and 2023 based on data-driven models and GIS approaches from a global …

With the help of machine-learning algorithms, data-driven models have become increasingly
capable of predicting CO 2 solubility. As part of this study, two machine learning approaches …

Accurate flood runoff and water level predictions are crucial research topics due to their
significance for early warning systems, particularly in improving peak flood level forecasts …

Timely and accurate prediction of water levels is crucial for managing floodplain lakes with
important ecosystem services, especially for flood prevention. Floodplain lakes are …

For more than one billion people living in coastal regions, coastal aquifers provide a water
resource. In coastal regions, monitoring water quality is an important issue for policymakers …

The Qanat (also known as kariz) is one of the significant water resources in many arid and
semiarid regions. The present research aims to use machine learning techniques for Qanat …

Water is very important natural resource for the human beings, animals etc. The quality of
water depends on multiple factors so it is vital for us to maintain the quality of water so that …