Many unimodal models have been developed to describe the soil water characteristic curves (SWCC). However, for soils with inner porosity the independent draining of the structural and matrix pores frequently results in two distinct air-entry values, which any single unimodal function does not reproduce adequately. In the presented study, a bimodal lognormal (BLN) SWCCs function have been developed for soils with inner porosity. The model involved two overlaying continua pore systems, the pore probability density functions of systems were assumed as lognormal distribution and them can be superposed to obtain the overall probability density function of the soil. The experimental SWCCs data were used to verify the proposed method. The fitted result showed that the BLN approach resulted in the best agreement between measurement and simulation (R2 > 0.99, RSME < 0.66). Another advantage of proposed function was capable of simulating bimodal SWCC using parameters which can be related to physical properties of the structural soils. These physically based parameters could more intuitively analyse the measured data. The BLN approach can potentially be used as effective tool for identifying mechanical and hydraulic porosities in the structural mediums.
All Science Journal Classification (ASJC) codes
- Agronomy and Crop Science
- Soil Science