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Generalized Transfer Function Model for Solute Transport in Heterogeneous Soils

Department of Renewable Resources, University of Wyoming, Laramie, WY 82071-3354 USA

View larger version (15K): [in a new window]   Fig. 1 Relationships of (a) µ and (b) as functions of l/z and the standard deviation of lnt at depth l (l) for the CDE (1 = 1 and 2 = 0.5). The values of l are shown on the curves

View larger version (15K): [in a new window]   Fig. 2 Relationships of (a) µ and (b) as functions of l/z and the standard deviation of lnt at depth l (l) for the GTF (1 = 0.5 and 2 = 1). The values of l are shown on the curves

View larger version (20K): [in a new window]   Fig. 3 Prediction of the convection–dispersion equation (CDE) (V = 1 and D = 5) at different depths using the generalized transfer function model (GTF)

View larger version (19K): [in a new window]   Fig. 4 Prediction of the convection–dispersion equation (CDE) (a convection-dominated problem: V = 10 and D = 1) at different depths using the generalized transfer function model (GTF)

View larger version (16K): [in a new window]   Fig. 5 Comparison of predicted results of the convection–dispersion equation (CDE) using the generalized transfer-function model (GTF) and the extended transfer function model (ETFM) with a = 0.5 (Liu and Dane, 1996)

View larger version (19K): [in a new window]   Fig. 6 Comparison of experimental data in the homogeneous soil column and predicted results of the generalized transfer function model (GTF) and convection–dispersion equation (CDE)

View larger version (22K): [in a new window]   Fig. 7 Comparison of experimental data in the heterogeneous soil column and predicted results of the generalized transfer function model (GTF)