A conceptual model of the soil water retention curve

TLDR

The fragmentation process determines the particle size distribution of the soil. The study proposes a conceptual model that defines the water retention function based on soil structure evolving from a uniform random fragmentation process. The model transforms particle volumes into pore volumes using a power function, applies the capillarity equation, and yields a two‑parameter expression for the water retention curve, which was tested on 12 soils and compared with van Genuchten and Russo models. The fitted curves closely match measured data, and the model shows greater flexibility and improved fit at both high and low water contents compared to van Genuchten and Russo models.

Abstract

A conceptual model based on the assumption that soil structure evolves from a uniform random fragmentation process is proposed to define the water retention function. The fragmentation process determines the particle size distribution of the soil. The transformation of particles volumes into pore volumes via a power function and the adoption of the capillarity equation lead to an expression for the water retention curve. This expression presents two fitting parameters only. The proposed model is tested on water retention data sets of 12 soils representing a wide range of soil textures, from sand to clay. The agreement between the fitted curves and the measured data is very good. The performances of the model are also compared with those of the two‐parameter models of van Genuchten [1980] and Russo [1988] for the water retention function. In general, the proposed model exhibits increased flexibility and improves the fit at both the high and the low water contents range.