Abstract Machine learning (ML) applications in soil science have significantly increased over
the past two decades, reflecting a growing trend towards data-driven research addressing …

Modeling subsurface flow and transport phenomena is essential for addressing a wide
range of challenges in engineering, hydrology, and ecology. The Richards equation is a …

The coupled model of water flow and solute transport in unsaturated soils is addressed in
this study. Building upon previous research findings by Keita, Beljadid, and Bourgault, we …

Multi-phase flow simulations in heterogeneous porous media are essential in many
applications, for example, CO 2 sequestration, enhanced oil and gas recovery, groundwater …

There is an initiative driven by the carbon-neutrality nature of biochar in recent times, where
various countries across Europe and North America have introduced perks to encourage the …

Determining soil hydraulic properties is complex, posing ongoing challenges in managing
subsurface and agricultural practices. Electrical resistivity tomography (ERT) is an appealing …

Estimations of multi-phase flow properties, mainly permeability, are crucial for several
applications, such as CO 2 sequestration, efficient oil and gas recovery, and groundwater …

The computational cost of approximating the Richards equation for water flow in unsaturated
porous media is a major challenge, especially for tasks that require repetitive simulations …

Efficiently solving partial differential equations (PDEs) is a long-standing challenge in
mathematics and physics research. In recent years, the rapid development of artificial …

In this study, second-order temporal discretizations are analyzed for solving the coupled
system of infiltration and solute transport in unsaturated porous media. The Richards …