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.

Our study addresses the challenges of costly groundwater investigation in the catchments by integrating in-situ groundwater data with terrain classification. This approach allows us to identify terrain-based groundwater potential and characterize groundwater levels. We aim for our findings to guide ongoing researchers in planning more detailed studies within their respective areas. These insights contribute to sustainable groundwater management and resource planning in similar topographies.