881. Integrated approach for characterizing aquifer heterogeneity in alluvial plainsIgor Karlović, Mitja Janža, Edmundo Placencia-Gómez, Tamara Marković, 2025, izvirni znanstveni članek Povzetek: Alluvial aquifers serve as vital groundwater resources worldwide. Due to their complex heterogeneity, accurate characterization requires the integration of multiple data types. This study presents a systematic framework to address aquifer heterogeneity through hydrofacies analysis, combining borehole data, electrical resistivity tomography (ERT) and stochastic modeling. The approach was tested in the Varaždin aquifer, where geostatistical and stochastic tools were used to simulate the spatial distribution of four hydrofacies: gravel (G), gravel, sandy to clayey (Gsc), sand with gravel, clayey to silty (Sgcs), and clay to silt, sandy (CSs). As the thin and electrically conductive lenses of Sgcs-CSs material below 20 m depth limited the ERT resolution, synthetic models were used to infer their possible geometry and resistivity magnitudes, estimating a model of the hydrofacies distribution up to 35 m depth, consistent with field-data based model. The resulting dimensions of the lens-shaped structures revealed the horizontal extent of the hydrofacies, and were incorporated into horizontal Markov chain models. The 3D Markov chain models were used to generate 10 stochastic realizations of the hydrofacies distribution. Validation identified the representative hydrofacies model for the Varaždin aquifer with a prediction accuracy of 63 %. Results from simulations focused on the Vinokovščak wellfield area show that incorporating ERT-derived lens lengths into the model development slightly improved hydrofacies prediction accuracy by 0.3 % to 5.0 %, depending on hydrofacies model grid resolution. The analysis of different grid resolutions demonstrates that increasing model detail beyond the characteristic lens dimensions provided no accuracy improvement, suggesting that the optimal cell size is closely related to the estimated lens lengths. In contrast, coarser grids provide a simplified hydrofacies model, potentially increasing prediction accuracy but losing spatial resolution. This methodology forms a basis for integrating spatial heterogeneity into groundwater models, providing a useful tool for sustainable management in alluvial and similar sedimentary environments.
Ključne besede: alluvial sediments, aquifers, groundwater, water resources, hydro-facies, wells, geophysical investigations, modelling
Objavljeno v DiRROS: 22.10.2025; Ogledov: 237; Prenosov: 91
 Celotno besedilo (8,08 MB) |
882. Modeling hydrological functioning of karst aquifer systems in Slovenia using geomorphological features and random forest algorithmMitja Janža, Valter Hudovernik, Luka Serianz, Andrej Stroj, 2025, izvirni znanstveni članek Povzetek: Study region: Slovenia
Study focus: This study investigates the relationship between the hydrological functioning of karst aquifer systems and the geomorphological characteristics of their catchments. It is based on the analysis of discharge time series from 15 karst springs. Hydrograph analysis of these time series was used to estimate 11 hydrological parameters that characterize aquifer system functioning. A spatial analysis of morphological, geological, and hydrological data was carried out to assess 7 lumped geomorphological features of the catchments. These features (independent variables) and hydrological parameters (dependent variables) were used to develop random forest models for predicting the hydrological functioning of karst springs.
New hydrological insights for the region: The developed methodological approach provides a basis for improved characterization and prediction of the hydrological functioning of ungauged karst systems. Groundwater availability in these systems is largely controlled by aquifer retention capacity and spring discharge variability. These characteristics can be inferred from hydrological parameters that can be predicted using the developed random forest models. Feature importance analysis indicated that catchment area, cave density, and slope gradient are the most important geomorphological features for predicting the hydrological characteristics of spring discharge.
Ključne besede: karst aquifer, random forest, machine learning, ungauged catchment, spring discharge, recession curve analysis
Objavljeno v DiRROS: 22.10.2025; Ogledov: 225; Prenosov: 130
Celotno besedilo (7,40 MB)
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883. Anksioznost skozi oči mladostnikov in mladostnic : participativni pristop k razvoju digitalnega programa za krepitev duševnega zdravja mladihMaša Vidmar, Manja Veldin, Igor Peras, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Ključne besede: vzgoja in izobraževanje, anksioznost, duševno zdravje, mladi, digitalni program, participativni pristop, razvoj programa
Objavljeno v DiRROS: 22.10.2025; Ogledov: 216; Prenosov: 77
Celotno besedilo (6,13 MB) |
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886. Usposabljanje učiteljev za umetno inteligenco : vloga pričakovanj pri zadovoljstvu in angažiranosti v okviru projekta AI4TSimona Bezjak, Borut Čampelj, Petra Bevek, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Ključne besede: vzgoja in izobraževanje, umetna inteligenca v izobraževanju, usposabljanje učiteljev, pričakovanja učiteljev, percepcije učiteljev, pedagoške strategije za UI
Objavljeno v DiRROS: 22.10.2025; Ogledov: 190; Prenosov: 53
Celotno besedilo (6,13 MB) |
887. Cross-situational learning of sign-like gestures in children and adults : a behavioural and event-related potential studyArianna Colombani, Peter Varghese, Qian Yin Mai, Amanda Saksida, Natalie Boll-Avetisyan, Outi Tuomainen, Mridula Sharma, 2025, izvirni znanstveni članek Ključne besede: pseudosigns, sign-like gestures, statistical learning, cross-situational learning, N400, LPC, semantic categorisation, associative learning
Objavljeno v DiRROS: 22.10.2025; Ogledov: 180; Prenosov: 99
Celotno besedilo (2,80 MB)
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888. Is pupil response to speech and music in toddlers with cochlear implants asymmetric?Amanda Saksida, Marta Fantoni, Sara Ghiselli, Eva Orzan, 2025, izvirni znanstveni članek Ključne besede: ear advantage, cochlear implants, toddlers, pupillometry, listening efort, speech perception, music perception, auditory lateralization
Objavljeno v DiRROS: 22.10.2025; Ogledov: 217; Prenosov: 93
Celotno besedilo (1,15 MB)
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