Parameter identification is an essential step in constructing a groundwater model. The
process of recognizing model parameter values by conditioning on observed data of the …

Groundwater system is a complex and open system, which is affected by natural conditions
and human activities. Natural hydrological processes is conceptualized through relatively …

This text combines the science and engineering of hydrogeology in an accessible,
innovative style. As well as providing physical descriptions and characterisations of …

In theory, aquifer thermal energy storage (ATES) systems can recover in winter the heat
stored in the aquifer during summer to increase the energy efficiency of the system. In …

Abstract Machine learning-based data-driven modeling can allow computationally efficient
time-dependent solutions of PDEs, such as those that describe subsurface multiphysical …

Deep geological disposal is internationally accepted as a feasible and safe approach for
high-level radioactive waste (HLW) disposal. To evaluate hydrogeological conditions in …

Effective groundwater management and allocation are essential from economic and social
points of view due to increasing high-quality water demands. This study presents a review …

Accurate estimates of groundwater modeling in arid regions have a crucial role in reaching a
sustainable management of groundwater sources. However, groundwater modeling has …

We present case studies on two methods for quantifying uncertainty in predictions for highly
parameterised geothermal models. One method is fully linear, while the other is nonlinear as …

We develop a physics‐informed machine learning approach for large‐scale data
assimilation and parameter estimation and apply it for estimating transmissivity and …