This paper presents a surrogate modelling approach applied to a geochemical system of uranium sorption on clay, relevant for the safety assessment of nuclear waste repositories. The surrogate uses knowledge about the underlying process to recursively partition the dataset into regions of reduced dimensionality. It achieves high accuracy with a competitive prediction throughput, and is a promising method to speedup  computationally demanding coupled reactive transport models.

To operate aquifer thermal energy storages in a sustainable way, we located an artesian aquifer other than the aquifer storage in a research wellbore by analyzing the subsurface temperature as monitored with a fiber optic cable in three artesian flow tests. The positioning of the artesian aquifer was validated via numerical modelling. Analyses of the temperature data and numerical modelling enabled determining the profile of flow velocity, flow rate and the depth interval of inflow.

To combat global warming and achieve net-zero CO₂ emissions by 2050, Carbon Capture and Storage (CCS) is vital. Despite being a top CO₂ emitter globally, Brazil is early in its CCS journey. Our study evaluates the potential of using southern Brazil's saline aquifers for CO₂ storage with the aim of supporting Brazil’s efforts to reduce emissions and mitigate climate change. We identify optimal storage sites in two basins, Paraná and Espírito Santo, with ideal locations near existing pipelines. 

As groundwater serves as the principal source of water worldwide, its quality is of paramount importance. In this study, the evolution of groundwater quality in California is assessed using the Water Quality Index & Weighted Index Overlay Analysis methods. Several water quality parameters are considered for the analysis, and the results from both methods are compared. The study shows that in most parts of California, groundwater quality is potable, as per WHO guidelines, except in a few places. 

In Colombia there are many areas with little or no hydrometeorological information that would allow for adequate water resource management, especially in times of low supply of the resource. In this work, several modeling techniques are implemented to generate data grids of meteorological variables that allow for reliable calculations of the potential recharge of aquifers, controlling uncertainties.

Scaling, particularly calcium carbonate precipitation in Bavaria, diminishes the efficiency of geothermal systems. To mitigate this issue, modeling for predictive maintenance is required, yet data are scarce. To address this, experimental data of the process were obtained using a new combination that allows qualitative and quantitative investigation in real time. Unfortunately, the stability of the signal degraded in long-term experiments, limiting measurements to durations of up to one day.

Waiwera is a small coastal village located on New Zealand's North Island above a geothermal reservoir. The origin of the warm water is not well understood. An inferred fault zone at the base of the reservoir is thought to channelise the uprising thermal water. The observed characteristic cold and hot water distribution in the system was simulated and the temperature profiles show an improved agreement in the near field around the centre of the reservoir.

Water is historically abundant in Northern Italy, but it was hit by a major meteorological drought recently. In this study, a possible adaptation measure to these extreme events is proposed and evaluated: the flooding of fields during periods of water abundance to recharge aquifers. Results show that the measure has a considerable potential in infiltrating high volumes of water. This work only shows the first results, more data and improved numerical models will be achieved in the next years.

This study proposes an offline machine-learning (ML) algorithm that ranks candidate training points by scoring them based on their distance to the closest training point and on the local gradient of the surrogate estimate and then choosing the highest-rank point. The effectiveness of this method is confirmed in developing surrogates to solve a two-objective groundwater pumping optimization problem formulated on a three-dimensional island aquifer.

The impacts of climate change have become increasingly apparent, even in Slovakia. To monitor and issue drought warnings, we conduct analyses and prepare documents. Our analysis, covering the last decade (2013-2022) and 2022, provides a map of surface and groundwater abstractions throughout Slovakia, categorized by sector. This comprehensive approach enables us to better understand and manage our water resources effectively.