VALIDATION OF THE KOOL AND PARKER CONSTITUTIVE MODEL IN HYDRUS-2D: DEPTH-DEPENDENT HYDRAULIC HYSTERESIS AND DRAINAGE DYNAMICS IN UNSATURATED SOILS
DOI:
https://doi.org/10.11113/aej.v16.24826Keywords:
Hydraulic hysteresis, Constitutive model, Volumetric water content, Suction dynamics, HYDRUS-2DAbstract
Hydraulic hysteresis in unsaturated soils significantly influences subsurface flow dynamics, yet its integration into hydrological models remains limited. This study advances the characterization of hysteresis effects by validating the Kool and Parker (1987) constitutive model within the HYDRUS-2D framework, while systematically comparing hysteresis-inclusive and hysteresis-ignoring simulations in a clay loam soil column. Through two-dimensional unsaturated flow simulations, we quantify depth-dependent suction and volumetric water content (VWC) dynamics under controlled boundary conditions, revealing critical insights into drainage behavior. Results demonstrate that exponential decay and power-law models robustly describe suction evolution (R² > 0.95), with deeper layers exhibiting faster drainage rates (e.g., −0.095 cm/min at 51.17 cm depth) due to proximity to the seepage face and steeper hydraulic gradients. Neglecting hysteresis overestimates suction magnitudes by 10–20% and underestimates equilibrium VWC, particularly in shallow zones where capillary retention dominates. Statistically significant discrepancies (RMSE up to 0.48 cm; p < 0.05) highlight hysteresis-induced delays in drainage, with shallower layers retaining 4–9% higher moisture under cyclic conditions. Methodologically, the integration of depth-specific metrics and hysteresis parameters enhances model fidelity, capturing non-unique soil-water retention relationships critical for real-world applications. Practical implications for slope stability and irrigation planning are emphasized: overestimating suction decline in hysteresis-ignoring models may compromise infrastructure safety assessments, while delayed drainage predictions improve water management strategies in fine-textured soils. This work bridges theoretical and computational hydrology, advocating for hysteresis-aware models to refine predictions in heterogeneous, unsaturated environments. The findings underscore the necessity of vertical stratification and hysteresis algorithms in hydrological simulations, offering a validated framework for geotechnical engineers and earth scientists addressing dynamic soil-water interactions.
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