Abstract Model development in groundwater simulation and physics informed deep learning
(DL) has been advancing separately with limited integration. This study develops a general …

This study presents a new approach to understand the causes of groundwater drought
events with interpretable deep learning (DL) models. As prerequisites, accurate long short …

Artificial recharge (AR) is the process whereby surface water is directed purposely
underground to augment natural replenishment of groundwater reserves. During the period …

Water is a precious natural resource that plays a crucial role in sustaining human-ecological
systems, especially in densely populated metropolitan cities and urban areas. Continuous …

Artificial recharge in urban aquifers is of vital importance due to the increase in urbanization
resulting in a reduction in natural recharge along with groundwater overdraft in many …

Managed aquifer recharge (MAR) is an important approach to address water security, water
quality decline, ground subsidence, and aquifer degradation. In this study, the large-scale …

A coupled unsaturated–saturated model for groundwater flow in a riparian zone is
established to evaluate the impacts of unsaturated zone on groundwater flow and aquifer …

Understanding responses of stream discharge to precipitation in a watershed is important in
gaining insights into watershed hydrology and estimating hydraulic parameters. Transfer …

Water flow in the unsaturated zone is an important component of the water cycle. Linearized
methods have been widely adopted to solve unsaturated flow problems described with …

Dry wells (gravity-fed infiltration wells) have frequently been used to recharge aquifers with
stormwater, especially in urban areas, as well as manage flood risk and reduce surface …