This research presents an unsupervised learning approach for interpreting well-log data to
characterize the hydrostratigraphical units within the Quaternary aquifer system in Debrecen …

This research aims to explore the application of an unsupervised machine learning and
inverse modeling-based methods to map the aquifers geometry and investigate the …

Heterogeneity and anisotropy of lithological units influences hydraulic conductivity on
several scales. The purpose of this study is to develop a novel method supporting …

The Debrecen area, as part of the Great Hungarian Plain (GHP), is associated with a multi-
aquifer system that is overly exploited to fulfill the development plans. This research aims to …

This research proposes an innovative approach utilizing geophysical well logging data
analyzed with multiple machine learning (ML) methods including, self-organizing maps …

The Hungarian water management plan has lately identified 185 groundwater bodies based
on the concepts given by the European Water Framework Directive. Achieving and …

The recent study followed a multi-methodological approach integrating gravity,
magnetotelluric (MT), and electrical resistivity tomography (ERT) to investigate the geometry …

An innovative methodology is introduced to study abandoned oil exploration drillings for
possible geothermal energy production at a test area in northeast Hungary. An evaluation …

Abstract The Euganean Geothermal Field (EGF) and its thermal water (temperature from 63°
C to 87° C) represent an important environmental and economic resource for the Veneto …

Data on thermal water sources with outflow temperature of 30° C and above were analyzed
from the N-ern parts of Bosnia and Herzegovina, Serbia and Croatia, S-ern parts of Hungary …