An integrated workflow combining machine learning and wavelet transform for automated characterization of heterogeneous groundwater systems.

Groundwater aquifers are complex systems that require accurate lithological and hydrogeological characterization for effective development and management. Traditional methods, such as core analysis and pumping tests provide precise results but are expensive, time-consuming, and impractical for large-scale investigations. Geophysical well logging data offers an efficient and continuous alternative, though manual interpretation of well logs can be challenging and may result in ambiguous outcomes.

Paleoenvironmental multiproxy dataset of the Quaternary abandoned channel in Tövises bed, Great Hungarian Plain.

To obtain the multiproxy paleoenvironmental dataset from southeast Great Hungarian Plain (GHP), 345 sediment samples were collected at one cm intervals from the cores retrieved from Tovisies bed paleochannel, and six samples were analyzed for 14C dates. The obtained radiocarbon dates were calibrated to calendar ages using the IntCal20 calibration curve. Bayesian statistics within the R bacon 2.