PREDICTION MODEL OF SOIL WATER CHARACTERISTICS CURVE FOR UNSATURATED CLAYEY SOIL DUE TO MERCURY INTRUSION POROSIMETRY

combining topographic and soil attributes for spatial prediction of model parameters of soil shrinkage curve

this study was conducted to investigate the spatial variability of model parameters of soil shrinkage curve in cherlgerd district, chaharmahal-va-bakhtiari province. ninety nine locations were selected and soil clods were collected from the 0-10 cm layer and brought to the laboratory. soil shrinkage curve was measured, according to archimedes's principle, by covering the undisturbed clods ...

Swelling Bulk Density and its Application in Arya and Paris Model for Soil Moisture Curve Prediction

Instability of unsaturated soil slopes due to infiltration

It is widely known that rainfall induces a rise of the groundwater level and an decrease in matric suction (negative pore water pressure) that results in slope failure. However, in many situations where shallow failures are concerned, it has been noted that there is not much evidence of a rise in the groundwater level sufficient to trigger the observed slope failures. Instead, the failures have...

Equations for the soil-water characteristic curve

The soil-water characteristic curve can be used to estimate various parameters used to describe unsaturated soil behaviour. A general equation for the soil-water characteristic curve is proposed. A nonlinear, least-squares computer program is used to determine the best-fit parameters for experimental data presented in the literature. The equation is based on the assumption that the shape of the...

An evolutionary approach to modelling the soil-water characteristic curve in unsaturated soils

In this paper a new approach is presented based on evolutionary polynomial regression (EPR) for modelling of soil–water characteristic curve in unsaturated soils. EPR is an evolutionary data mining technique that generates a transparent and structured representation of the behaviour of a system directly from data. This method can operate on large quantities of data in order to capture nonlinear...