Effective hydraulic properties of 3D virtual stony soils identified by inverse modeling

• Published in: Soil Vol. 8; no. 1; pp. 99 - 112
• Main Authors: Naseri, Mahyar, Iden, Sascha C., Durner, Wolfgang
• Format: Journal Article
• Language: English
• Published: Göttingen Copernicus GmbH 09.02.2022; Copernicus Publications
• Subjects: Evaluation; Evaporation; Experiments; Heterogeneity; Hydraulic properties; Hydraulics; Identification; Laboratories; Mathematical models; Measuring instruments; Model matching; Modelling; Pressure head; Properties; Sandy loam; Sandy soils; Saturation; Scaling; Simulation; Software; Soil; Soil properties; Soil water; Stony soils; Three dimensional flow; Unsaturated soils; Water flow
• ISSN: 2199-398X; 2199-3971; 2199-398X; 2199-3971
• DOI: 10.5194/soil-8-99-2022

Stony soils that have a considerable amount of rock fragments (RFs) are widespread around the world. However, experiments to determine the effective soil hydraulic properties (SHPs) of stony soils, i.e., the water retention curve (WRC) and hydraulic conductivity curve (HCC), are challenging. Installation of measurement devices and sensors in these soils is difficult, and the data are less reliable because of their high local heterogeneity. Therefore, effective properties of stony soils especially under unsaturated hydraulic conditions are still not well understood. An alternative approach to evaluate the SHPs of these systems with internal structural heterogeneity is numerical simulation. We used the Hydrus 2D/3D software to create virtual stony soils in 3D and simulate water flow for different volumetric fractions of RFs, f. Stony soils with different values of f from 11 % to 37 % were created by placing impermeable spheres as RFs in a sandy loam soil. Time series of local pressure heads at various depths, mean water contents, and fluxes across the upper boundary were generated in a virtual evaporation experiment. Additionally, a multistep unit-gradient simulation was applied to determine effective values of hydraulic conductivity near saturation up to pF=2. The generated data were evaluated by inverse modeling, assuming a homogeneous system, and the effective hydraulic properties were identified. The effective properties were compared with predictions from available scaling models of SHPs for different values of f. Our results showed that scaling the WRC of the background soil based on only the value of f gives acceptable results in the case of impermeable RFs. However, the reduction in conductivity could not be simply scaled by the value of f. Predictions were highly improved by applying the Novák, Maxwell, and GEM models to scale the HCC. The Maxwell model matched the numerically identified HCC best.