Testing an infiltration method for estimating soil hydraulic properties in the laboratory

Solving soil unsaturated flow problems requires knowledge of the water retention, θ(h ), and unsaturated hydraulic conductivity, K(θ), relationships. The purpose of this study was to adapt to infiltration conditions the so-called Wind method previously described for evaporation conditions for determining θ(h) and K(0) and from laboratory cores. Infiltration in a vertical column of soil was first simulated using the numerical solution of Richards' equation for two soils. The simulated data were then used to evaluate the ability of the method to provide estimations of the hydraulic properties, whether measurement errors on tensiometric data were taken into account or not. In the laboratory, a sandy and a loamy soil sample were used in infiltration experiments. The experimental equipment consisted of (i) a metal cylinder containing the soil sample placed on an automatic balance, (ii) a set of tensiometers inserted in the soil sample, and (iii) a drip infiltrometer placed horizontally above the soil surface of the sample. Pressure head profiles and the weight of the sample was recorded at constant time steps. The infiltration method is able to provide estimates of the retention curve as was shown by numerical and laboratory experiments. Estimating the unsaturated hydraulic conductivity was possible by applying Wind's method to infiltration conditions, but as with the evaporation method, the variance of the hydraulic conductivity estimates was high.

[1]  T. Brubaker,et al.  Nonlinear Parameter Estimation , 1979 .

[2]  Philippe C. Baveye,et al.  Determining the hydraulic properties of a swelling soil from a transient evaporation experiment , 1997 .

[3]  Y. Pachepsky,et al.  Artificial Neural Networks to Estimate Soil Water Retention from Easily Measurable Data , 1996 .

[4]  A. Klute,et al.  The Calibration of the Richards Flow Equation for a Draining Column by Parameter Identification1 , 1981 .

[5]  Ole Wendroth,et al.  Reevaluation of the Evaporation Method for Determining Hydraulic Functions in Unsaturated Soils , 1993 .

[6]  R. G. Hills,et al.  Unsaturated Hydraulic Properties from Upward Flow into Soil Cores , 1996 .

[7]  J.H.M. Wösten,et al.  Testing an Artificial Neural Network for Predicting Soil Hydraulic Conductivity , 1996 .

[8]  Ole Wendroth,et al.  Parameter Estimation Analysis of the Evaporation Method for Determining Soil Hydraulic Properties , 1998 .

[9]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[10]  M. Vauclin,et al.  Measurement of hydraulic properties and mobile water content of a field soil , 1996 .

[11]  J. H. Dane,et al.  In-Situ Determination of Soil Hydraulic Properties during Drainage1 , 1983 .

[12]  J. C. van Dam,et al.  Comparison of six methods to determine unsaturated soil hydraulic conductivity. , 1994 .

[13]  S. Tamari,et al.  A simple method for determining soil hydraulic properties in the laboratory , 1993 .

[14]  M. Schaap,et al.  Neural network analysis for hierarchical prediction of soil hydraulic properties , 1998 .

[15]  Jack C. Parker,et al.  Determining Soil Hydraulic Properties from One-step Outflow Experiments by Parameter Estimation: I. Theory and Numerical Studies1 , 1985 .

[16]  T. Illangasekare,et al.  A two-stage procedure for determining unsaturated hydraulic characteristics using a syringe pump and outflow observations , 1997 .

[17]  Van Genuchten,et al.  A closed-form equation for predicting the hydraulic conductivity of unsaturated soils , 1980 .

[18]  L. Stolzy,et al.  Error Propagation in Determining Hydraulic Conductivities from Successive Water Content and Pressure Head Profiles 1 , 1976 .

[19]  P. Bertuzzi,et al.  Error Analysis of an Evaporation Method for Determining Hydrodynamic Properties in Unsaturated Soil , 1997 .

[20]  Wolfgang Durner,et al.  Determination of parameters for bimodal hydraulic functions by inverse modeling , 1998 .