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 …

High-resolution, continuous groundwater data is important for place-based adaptive aquifer
management. This information is unavailable in many areas due to spatial sparsity of and …

Agricultural water demand, groundwater extraction, surface water delivery and climate
exhibit complex nonlinear relationships with groundwater storage in agricultural regions. As …

Accurate prediction of groundwater levels is crucial for effective water resource management
in agricultural regions, where groundwater is a vital resource. In these areas, the complex …

This study presents a machine learning framework for multi-step-ahead prediction of
groundwater levels in agricultural regions heavily reliant on groundwater irrigation. The …

The effect of subsurface structures in blocking groundwater seepage has a long-term
influence on groundwater level (GWL). A finite difference method (FDM) model considering …

In this study, we used deep learning models with recurrent structure neural networks to
simulate large-scale groundwater level (GWL) fluctuations in northern France. We …

Groundwater is an important component of water resources. Excessive exploitation can lead
to water scarcity, while excessive groundwater can cause problems such as terrain collapse …

Abstract The Indus Basin is facing water scarcity intensified by a drier climate and growing
water demands for irrigation and population consumption. Ensuring environmental …

Over two billion individuals worldwide rely on subterranean water as their primary reservoir
of clean water. Ensuring the sustainable management of this heavily burdened resource …