Online Volumes of the Journal of Hydrology and Hydromechanics


J. Hydrol. Hydromech., Vol. 74, No. 4 - Early view, 2026, p. 1 - 10, doi: .
Scientific Paper, English

Katsutoshi Seki, Martinus Th. van Genuchten, Wolfgang Durner, Luwen Zhuang, Silvia L. B. Bermudez: Trimodal hydraulic models for unsaturated flow: Coupling triple-porosity water retention with general conductivity functions

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  • We present trimodal hydraulic models that couple a triple-porosity water retention function (WRF) with a general hydraulic conductivity function (HCF) to predict unsaturated flow from saturation to dry conditions. The WRF is a linear combination of subfunctions representing macro-, meso-, and micro-pores such as, for example, tri-VG (VG+VG+VG), BVV (BC+VG+VG), or VVP (VG+VG+film flow) formulations, where VG and BC present the van Genuchten and Brooks-Corey type functions. The general HCF links K(h) to the measured WRF with only two additional parameters. Applied to soils, construction materials, and a trimodal sandstone, the models reproduce θ(h) and K(h) data across capillary and film-flow regimes and capture the sharp conductivity drop often observed just below saturation without ad hoc interpolation. The tri-VG and BVV models resolve three pore domains and match observed pore-size distributions where trimodality is evident, with VVP offering a compact alternative. The WRF, in practice readily measured over a wide pressure-head range, robustly identifies triple-porosity parameters, while only limited K data can calibrate the HCF. A limitation is that representing the near-saturated K drop requires a corresponding decrease in θ; without accompanying retention data, macropore parameters should not be over-interpreted. Overall, explicit macroporosity within a trimodal WRF plus a parsimonious HCF provides an efficient, unified framework for modeling unsaturated flow.

    KEY WORDS: Soil water retention; Unsaturated hydraulic conductivity; Triple-porosity model; Macroporosity; Film flow; General hydraulic conductivity function.

    Address:
    - Katsutoshi Seki, Natural Science Laboratory, Toyo University, 5-28-20 Hakusan, Bunkyo-ku, Tokyo 112-8606, Japan. (Corresponding author. Tel.: Fax.: Email: seki_k@toyo.jp)
    - Martinus Th. van Genuchten, Department of Earth Sciences, Utrecht University, Princetonlaan 8a, 3584 CB Utrecht, Netherlands. Department of Nuclear Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
    - Wolfgang Durner, Soil Science and Soil Physics Division, Institute of Geoecology, Technische Universität Braunschweig, 38092 Braunschweig, Germany.
    - Luwen Zhuang, Center for Water Resources and Environment, and Guangdong Key Laboratory of Marine Civil Engineering, School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China.
    - Silvia L. B. Bermudez, Department of Civil Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.

     




J. Hydrol. Hydromech., Vol. 74, No. 4 - Early view, 2026, p. 11 - 21, doi: .
Scientific Paper, English

Bernardo Gehlen, Ricardo Leite Martins Bazarin, Rafael Augusto Bastos Rodrigues Alves, Diogo Nardelli Siebert: An REV analysis of capillary pressure curves using the Full Morphology Method and the van Genuchten model

 Full Text in PDF     93 DOWNLOADS

 

  • A Representative Elementary Volume (REV) analysis is fundamental to guarantee that simulations are performed in a representative domain. While the literature presents approaches to determine the REV of scalar properties, especially single-phase ones, identifying the REV for full capillary pressure curves remains challenging due to the computational costs of direct simulations and limited convergence metrics. This study proposes a hierarchical framework to evaluate the REV of drainage capillary pressure curves of digital rocks imaged via micro-computed tomography (micro-CT) using the Full Morphology Method (FM) and the van Genuchten model. Instead of adapting standard convergence criteria to the fitted parameters, whose non-linearity complicates a stability analysis, we introduce a statistical Mean Absolute Error (MAE) metric to quantify the convergence of the entire curve shape. The methodology was validated using four sandstone micro-CT samples. Results establish a preliminary hierarchy to identify the REV for the full curve at sizes at least double of the statistical REV for residual saturation. Crucially, the MAE-based approach diagnosed the lack of convergence of more heterogeneous samples for which a coefficient-of-variation-based metric failed. The framework provides a robust and physically representative criterion for defining simulation domain sizes, thereby preventing the use of non-representative data in reservoir characterization.

    KEY WORDS: Digital rock physics; Representative elementary volume; Full morphology method; van Genuchten model; Capillary pressure curves.

    Address:
    - Bernardo Gehlen, Federal University of Santa Catarina, Rua Dona Francisca, 8300, Joinville, Santa Catarina, 89219-600, Brazil. (Corresponding author. Tel.: Fax.: Email: b.gehlen@posgrad.ufsc.br)
    - Ricardo Leite Martins Bazarin, Federal University of Santa Catarina, Rua Dona Francisca, 8300, Joinville, Santa Catarina, 89219-600, Brazil.
    - Rafael Augusto Bastos Rodrigues Alves, Federal University of Santa Catarina, Rua Dona Francisca, 8300, Joinville, Santa Catarina, 89219-600, Brazil.
    - Diogo Nardelli Siebert, Federal University of Santa Catarina, Rua Dona Francisca, 8300, Joinville, Santa Catarina, 89219-600, Brazil.

     




J. Hydrol. Hydromech., Vol. 74, No. 4 - Early view, 2026, p. 22 - 31, doi: .
Scientific Paper, English

Felipe Eler, Martinus Th. van Genuchten, Paulo Couto: Uncertainty Assessment of Capillary Pressure Curves Measured Using Centrifuge Methods

 Full Text in PDF     67 DOWNLOADS

 

  • The centrifuge technique (CT) is widely used across hydrology, petrophysics, and related disciplines to measure the water retention/capillary pressure curves, but standard data inversion methods lack uncertainty quantification and often cannot guarantee solution uniqueness. To address this, we present a novel Bayesian framework for inverting CT data that explicitly accounts for experimental uncertainties, provides confidence intervals, quantifies parameter covariance, and analyzes solution uniqueness. The framework was validated against synthetic first-drainage data (the desorption curve) across various curve shapes and noise levels, successfully recovering true capillary pressure curves. Application to experimental core samples of Indiana Limestone, Silurian Dolomite, and Upper Gray Berea yielded highly consistent results, demonstrating the framework’s practical reliability. The approach also facilitates crucial non-uniqueness analyses, identifies parameter correlations, and offers strategies for improved solution stability. To promote transparency, reproducibility, and cross-disciplinary collaboration, the complete framework is publicly available as an open-source code on GitHub.

    KEY WORDS: Capillary Pressure Curve; Centrifuge Method; Uncertainty Quantification; Solution Uniqueness; Bayesian Inference.

    Address:
    - Felipe Eler, Department of Civil Engineering, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, RJ, Brazil. (Corresponding author. Tel.: Fax.: Email: felipe.eler@petroleo.ufrj.br)
    - Martinus Th. van Genuchten, Department of Nuclear Engineering, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, RJ, Brazil. Department of Earth Sciences, Utrecht University, Utrecht, The Netherlands.
    - Paulo Couto, Department of Civil Engineering, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, RJ, Brazil.

     




J. Hydrol. Hydromech., Vol. 74, No. 4 - Early view, 2026, p. 365 - 381, doi: .
Scientific Paper, English

Koharu Tasaki, Nobuo Toride, Diederik Jacques, Shohei Koizumi, Ieyasu Tokumoto: Influence of Iron Minerals on the Fate and Transport of Substances in Re-duced Paddy Soils: Insights from Reactive Transport Modeling with HP1

 Full Text in PDF     18 DOWNLOADS

 

  • A comprehensive reactive transport model was developed using the HYDRUS-PHREEQC (HP1) program to simulate the fate and transport of substances associated with aerobic and anaerobic soil organic matter (SOM) decomposition in paddy soils. The model incorporates complex biogeochemical processes, including sequential redox reactions, dissolution/precipitation, and ion exchange, while accounting for spatiotemporal changes in redox potential (Eh) and pH. Numerical experiments were conducted to evaluate the effects of iron mineral dissolution and precipitation on hydrogen sulfide (H_2 S) and methane (CH_4) formation under iron-sufficient and iron-deficient conditions. Distinct temporal and spatial differences in Eh, pH, and solute concentrations were observed between the surface-oxidized and deeper-reduced layers. Under the iron-sufficient condition, greater amounts of reduced Fe^(2+) generated from mineral dissolution were retained as exchangeable Fe^(2+), suppressing H_2 S formation through FeS precipitation, which also delayed CH_4 formation compared to the iron-deficient condition. This study revealed the critical roles of iron mineral dynamics and soil charge properties in regulating redox processes in paddy soils. By quantitatively representing the coupled interactions among redox transitions, mineral equilibria, and ion exchange, the developed model provides a robust framework for assessing biogeochemical processes and offers insights into the mitigation of methane and toxic sulfur formations from flooded soils.

    KEY WORDS: Paddy soil; SOM decomposition; Redox reaction; Reactive transport model; HP1.

    Address:
    - Koharu Tasaki, The United Graduate School of Agricultural Sciences, Kagoshima University, 21-24, 1 Korimoto, Kagoshima 890-8580, Japan.
    - Nobuo Toride, Graduate School of Bioresources, Mie University, 1577 Kuriyamachiya-cho Tsu, Mie 514-850, Japan
    - Diederik Jacques, Engineered and Geosystems Analysis Unit, Belgian Nuclear Research Centre, 2400 Mol, Belgium.
    - Shohei Koizumi, Research Section-?, Environmental Technology Research Department, Environment Research Laboratory, Advanced Technology Research Laboratories, NIPPON STEEL CORPORATION, 20-1 Shintomi, Futtsu-shi, Chiba 293-8511, Japan.
    - Ieyasu Tokumoto, Faculty of Agriculture, Saga University, 1 Honjo, Saga 840-8502, Japan. (Corresponding author. Tel.: Fax.: Email: yasu@cc.saga-u.ac.jp)

     




J. Hydrol. Hydromech., Vol. 74, No. 4 - Early view, 2026, p. 382 - 390, doi: .
Scientific Paper, English

Asha Nambiar, Gerrit Huibert de Rooij: Characterization of hysteresis and sigmoidal behaviour in the Rossi–Ippisch–Adaptation (RIA) of the soil water retention curve

 Full Text in PDF     15 DOWNLOADS

 

  • The van Genuchten-parameterization (vG) of the soil water retention curve (SWRC) has been very popular for over four decades, but it has some physical inconsistencies at the dry and the wet end. The recently introduced Rossi–Ippisch–Adaptation (RIA) of vG resolves these by introducing an air-entry value and eliminating the residual water content. This study explores if a hysteric version of RIA is feasible. Expressions for its main drying and wetting curves are provided, showing that hysteresis in RIA necessarily induces hysteresis in the shape parameters α and n. A practical closed-form relation is proposed to estimate a hysteretic parameter set for the main wetting curve when measurements are only available for the main drying curve (without guarantee of accuracy). Using six soils spanning coarse to fine textures, we show that the wetting curves remain physically consistent and non-intersecting with the drying curves. Furthermore, the paper highlights RIA’s capability to transition smoothly from a sigmoidal to power-law shape. We elucidate how α determines the location, and even the existence, of an inflection point. Finally, we present a criterion to determine the limit at which the RIA curve converges to the more parsimonious Brooks–Corey power-law form.

    KEY WORDS: Soil water retention curve; Rossi–Ippisch–Adaptation; Soil hydraulic properties; Hysteresis; Unsaturated flow; Soil physics.

    Address:
    - Asha Nambiar, Helmholtz-Centre for Environmental Research - UFZ, Halle (Saale), 06120, Germany.
    - Gerrit Huibert de Rooij, Helmholtz-Centre for Environmental Research - UFZ, Halle (Saale), 06120, Germany. (Corresponding author. Tel.: Fax.: Email: gerrit.derooij@ufz.de)

     




J. Hydrol. Hydromech., Vol. 74, No. 4 - Early view, 2026, p. 391 - 399, doi: .
Scientific Paper, English

Tatiana Lipovetsky, Silvia L.B. Bermudez, Behzad Ghanbarian, Martinus Th. van Genuchten, Elizabeth M. Pontedeiro, Austin Boyd, Paulo Couto, Luca Moriconi: Estimating the permeability of multimodal carbonate rocks using a critical path analysis

 Full Text in PDF     10 DOWNLOADS

 

  • Accurate estimation of the permeability (or hydraulic conductivity) is typically challenging for carbonate rocks because of their complex pore structures and multimodal pore-throat size distributions. In this study we used, for the first time to our knowledge, a critical path analysis (CPA) based on percolation theory to upscale the intrinsic permeability (k) of multimodal carbonate reservoir rocks from relevant pore space characteristics. Although CPA has been used successfully to estimate k of relatively tight porous media, its application to multimodal carbonate rocks is very limited. Based on CPA, we estimated the value of k for a broad range of limestones (thirty samples) from the critical pore-throat diameter (dc) and the formation factor (F). We used three different methods to determine the value of dc. Method 1 estimated dc from the mode of the pore-throat size distribution derived from the mercury intrusion capillary pressure (MICP) curve. Method 2 was based on the inflection point of the capillary pressure curve. Method 3 determined the value of dc from the van Genuchten model parameter α (which approximates the inverse of the air entry pressure). We also compared the CPA approach with four versions of the Thomeer-Swanson (TS) methodology, which is widely used to estimate k from MICP data. The best results were obtained with CPA Method 3 based on van Genuchten’s α value. This method estimated k with a root mean square logarithmic error of 0.42, which was more accurate than all CPA and TS models evaluated in this study.

    KEY WORDS: Carbonate rocks; Permeability; Critical path analysis; Thomeer-Swanson spreadsheet; Limestone; Multimodal media.

    Address:
    - Tatiana Lipovetsky, Department of Civil Engineering, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil. (Corresponding author. Tel.: Fax.: Email: Tatianalipovetsky@gmail.com)
    - Silvia L.B. Bermudez, Department of Civil Engineering, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil.
    - Behzad Ghanbarian, iResearchE Lab, Department of Earth and Environmental Sciences, University of Texas at Arlington, Arlington TX, USA. Department of Civil Engineering, University of Texas at Arlington, Arlington TX, USA. Division of Data Science, College of Science, University of Texas at Arlington, Arlington TX, USA.
    - Martinus Th. van Genuchten, Department of Nuclear Engineering, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil. Department of Earth Sciences, Utrecht University, Utrecht, Netherlands.
    - Elizabeth M. Pontedeiro, Pontedeiro Department of Earth Sciences, Utrecht University, Utrecht, Netherlands.
    - Austin Boyd, Department of Civil Engineering, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil.
    - Paulo Couto, Department of Civil Engineering, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil.
    - Luca Moriconi, Department of Civil Engineering, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil. Department of Physics, Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil.

     




J. Hydrol. Hydromech., Vol. 74, No. 4 - Early view, 2026, p. 400 - 416, doi: .
Scientific Paper, English

Annelie Ehrhardt, Kristian Berger, Hans-Jörg Vogel, Horst H. Gerke: Lateral subsurface flow along horizon boundaries in sloping arable soils: in-sights from unsaturated soil monoliths

 Full Text in PDF     7 DOWNLOADS

 

  • Lateral subsurface flow (LSF) is an important pathway for pesticide and nutrient transport in arable soils, typically under saturated conditions. Yet LSF also occurs under unsaturated conditions, though the underlying mechanisms are often unclear. We hypothesized that hydraulic non-equilibrium (HNE) can induce LSF when macropores termi-nate at sloping soil horizon boundaries, causing localized saturation. Our objective was to experimentally imitate this process in soils of the postglacial arable landscapes. We used undisturbed monoliths with artificial macropores and inclined soil horizon boundaries between the B and C horizons of a Luvisol, and the marly glacial till C horizon and a sandy lens of a Regosol. Four monoliths were instrumented with tensiometers and FDR sensors and exposed to sim-ulated rainfall in the laboratory. Vertical and lateral drainage was collected via tension discs. For hydraulic equilibri-um (HE) experiments, water infiltrated in both the macropore and the surrounding matrix. For HNE, infiltration was restricted to the artificial macropore. Dye tracer experiments visualized flow pathways around macropores during HNE. The LSF along sloping horizon boundaries could be observed for the Regosol under both HE and HNE condi-tions, but not for the Luvisol. For the Regosol, LSF could be explained by a capillary barrier effect at the interface between the C horizon and the sand lens. For the Luvisol, local water saturation along the B–C boundary did not trigger LSF under the present experimental conditions, suggesting that additional processes leading to even higher lo-cal water saturations may initiate LSF at larger scales. In the Regosol, drier initial conditions led to an earlier onset of lateral flow at the side than at the bottom, likely due to the lower hydraulic conductivity of the sand layer. This sug-gests that drier initial conditions may also promote LSF in the Luvisol.

    KEY WORDS: Irrigation experiment; Macropores; Dye tracer; Preferential flow.

    Address:
    - Annelie Ehrhardt, TUD Dresden University of Technology, Faculty of Environmental Science, Institute for Soil Science and Site Ecology, Soil Resources and Land Use, Pienner Straße 19, 01737 Tharandt, Germany (Corresponding author. Tel.: Fax.: Email: Annelie.Ehrhardt@tu-dresden.de)
    - Kristian Berger, Leibniz Centre for Agricultural Landscape Research (ZALF), Research Area 1 "Landscape Functioning", Working group “Agricultural Biogeochemistry”, Eberswalder Straße 84, 15374 Müncheberg, Germany.
    - Hans-Jörg Vogel, UFZ – Helmholtz Center for Environmental Research, Theodor-Lieser-Strasse 4, 06120 Halle, Germany. Martin-Luther-University Halle-Wittenberg, Institute of Soil Science and Plant Nutrition, Von-Seckendorff-Platz 3, 06120, Halle (Saale), Germany.
    - Horst H. Gerke, Leibniz Centre for Agricultural Landscape Research (ZALF), Research Area 1 "Landscape Functioning", Working group “Agricultural Biogeochemistry”, Eberswalder Straße 84, 15374 Müncheberg, Germany.

     




J. Hydrol. Hydromech., Vol. 74, No. 4 - Early view, 2026, p. 417 - 428, doi: .
Scientific Paper, English

Paulo H.S. Moreira, Elizabeth M. Pontedeiro, Gabriel S. S. Ribeiro, Silvia L. B. Bermudez, Maira C. O. Lima, Leonardo Borghi, Paulo Couto: From plug to reservoir scale – using homogenization and optimization tech-niques for the modeling of carbonate media

 Full Text in PDF     8 DOWNLOADS

 

  • This study applies upscaling techniques to model a carbonate reservoir based on rock and fluid physical properties measured in laboratory experiments on core plug samples collected from a well drilled in an outcrop of the Morro do Chaves Formation (Alagoas, Brazil). By integrating laboratory measurements with computational approaches, recur-ring spatial patterns of petrophysical properties were identified and extrapolated throughout the well interval. La-boratory analyses, well logs, and petrographic studies were combined to classify the principal rock types present in the formation, providing the geological framework for the reservoir model. The formation was subdivided into successive layers according to the identified rock types, and porosity and perme-ability values were homogenized within each layer as part of the upscaling procedure, allowing core-scale measure-ments to be represented at the reservoir scale. Mathematical formulations of capillary pressure and relative permea-bility were employed to characterize rock–fluid interactions and describe multiphase flow behavior. The Markov Chain Monte Carlo (MCMC) method was employed to calculate posterior distributions for the capillary pressure parametric terms. Their mean values were then used to calibrate the capillary pressure model by matching calculated curves to experimental capillary pressure data obtained from core plug samples collected along the well. The resulting distributions of rock and fluid properties were incorporated into a hypothetical carbonate reservoir model, where numerical simulations of fluid injection and production scenarios were performed. These simulations were used to investigate the influence of the upscaled petrophysical properties on reservoir performance and to eval-uate production behavior over time. The proposed workflow demonstrates the integration of laboratory characteriza-tion, geological interpretation, statistical calibration, and numerical simulation as an effective approach for bridging core-scale.

    KEY WORDS: Upscaling; Rock and fluid properties; Rock type; Parameter estimation; Reservoir simulation.

    Address:
    - Paulo H.S. Moreira, LRAP/COPPE - Federal University of Rio de Janeiro, UFRJ, Brazil. (Corresponding author. Tel.: Fax.: Email: phsmoreira@petroleo.ufrj.br)
    - Elizabeth M. Pontedeiro, LRAP/COPPE - Federal University of Rio de Janeiro, UFRJ, Brazil. Department of Earth Sciences, Utrecht University, Utrecht, Netherlands.
    - Gabriel S. S. Ribeiro, Department of Civil Engineering, Federal University of Rio de Janeiro, UFRJ, Brazil.
    - Silvia L. B. Bermudez, Department of Civil Engineering, Federal University of Rio de Janeiro, UFRJ, Brazil. Department of Geophysics, National Observatory, Rio de Janeiro, Brazil.
    - Maira C. O. Lima, LRAP/COPPE - Federal University of Rio de Janeiro, UFRJ, Brazil.
    - Leonardo Borghi, Department of Geology, LAGESED, Federal University of Rio de Janeiro, UFRJ, Brazil.
    - Paulo Couto, LRAP/COPPE - Federal University of Rio de Janeiro, UFRJ, Brazil.

     




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email: jhh@savba.sk


Acta Hydrologica Slovaca
Institute of Hydrology SAS
Dúbravská cesta 9
841 04 Bratislava
Slovak Republic
web: www.ih.sav.sk/ah

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