Developing precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …

Predicting groundwater levels is pivotal in curbing overexploitation and ensuring effective
water resource governance. However, groundwater level prediction is intricate, driven by …

Developing accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …

This review paper closely explores the techniques and significances of the most potent
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …

Groundwater is a vital source of freshwater, supporting the livelihood of over two billion
people worldwide. The quantitative assessment of groundwater resources is critical for …

The rapid groundwater depletion and the deterioration in groundwater quality in the major
aquifers around the globe due to anthropogenic stress and natural causes have raised …

This study reported the state of the art of different artificial intelligence (AI) methods for
groundwater quality (GWQ) modeling and introduce a brief description of common AI …

Groundwater is a crucial resource across agricultural, civil, and industrial sectors. The
prediction of groundwater pollution due to various chemical components is vital for planning …

Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …

The integration of Artificial Intelligence (AI) in groundwater management is a transformative
stage, characterized by innovation and challenges. This research paper explores the …