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

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 …

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 …

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 …

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 …

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 …

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 …

Given the vulnerability of surface water to the direct impacts of climate change, the accurate
prediction of groundwater levels has become increasingly important, particularly for dry …

Accurate and reliable monthly runoff forecasting is crucial for water resource management,
but the increasing non-stationarity of runoff series poses new challenges to the development …

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 …