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Mualem-van Genuchten models

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Journal Article
Published: 01 May 2011
Vadose Zone Journal (2011) 10 (2): 618–623.
... close approximations of the analytical results. The newly proposed equations allow the use of independent values of the parameters m and n in the soil water retention model of van Genuchten for subsequent prediction of the van GenuchtenMualem and van Genuchten–Burdine hydraulic conductivity models...
FIGURES
Journal Article
Published: 01 February 2009
Vadose Zone Journal (2009) 8 (1): 86–95.
...M. Weynants; H. Vereecken; M. Javaux Abstract We revisited the Vereecken database, which has been used to derive pedotransfer functions (PTFs) to estimate the soil hydraulic parameters of Belgian soils. We developed new PTFs based on the Mualemvan Genuchten model, constraining m = 1 − 1/ n...
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Journal Article
Published: 01 July 2015
Vadose Zone Journal (2015) 14 (7): vzj2014.12.0171.
... to one- and two-dimensional simulations of unsaturated water flow through heterogeneous soil profiles under different boundary conditions including infiltration, evaporation, and drainage. The Gardner–Basha model and the Mualemvan Genuchten model were used as the constitutive relations to close...
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Relative Euclidean (L2) and maximum (L∞) norms of the upscaled solutions corresponding to the different degrees of coarsening for the Gardner–Basha model (left) and the Mualem–van Genuchten model (right); r denotes the ratio of upscaling.
Published: 01 July 2015
Fig. 6. Relative Euclidean ( L 2 ) and maximum ( L ∞ ) norms of the upscaled solutions corresponding to the different degrees of coarsening for the Gardner–Basha model (left) and the Mualemvan Genuchten model (right); r denotes the ratio of upscaling.
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Conductivity of an aggregate pair, keq(h), as derived from observed water flow and as fitted with the Mualem–van Genuchten model with tortuosity τ = 5. The conductivity of the aggregate interior kagg(h) is fitted with τ = 0.5.
Published: 01 February 2009
F ig . 2. Conductivity of an aggregate pair, k eq ( h ), as derived from observed water flow and as fitted with the Mualemvan Genuchten model with tortuosity τ = 5. The conductivity of the aggregate interior k agg ( h ) is fitted with τ = 0.5.
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Relative Euclidean (L2) and maximum (L∞) norms of upscaled solutions corresponding to the different degrees of spatial heterogeneity for the Gardner–Basha model (left) and the Mualem–van Genuchten model (right); σ denotes the standard deviation of the logarithm of the fine-scale saturated hydraulic conductivity.
Published: 01 July 2015
Fig. 7. Relative Euclidean ( L 2 ) and maximum ( L ∞ ) norms of upscaled solutions corresponding to the different degrees of spatial heterogeneity for the Gardner–Basha model (left) and the Mualemvan Genuchten model (right); σ denotes the standard deviation of the logarithm of the fine-scale
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Comparison of the water pressure head (h) between the coarse-scale models using the upscaling method (UM) and the upscaling method with pre-calculation (UM-p) and the fine-scale model for the one-dimensional ponded infiltration problem at time t = 1, 4, and 8 h using the Mualem–van Genuchten model.
Published: 01 July 2015
Fig. 3. Comparison of the water pressure head ( h ) between the coarse-scale models using the upscaling method (UM) and the upscaling method with pre-calculation (UM-p) and the fine-scale model for the one-dimensional ponded infiltration problem at time t = 1, 4, and 8 h using the Mualemvan
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Comparison of the water pressure head (h) between the coarse-scale models using the upscaling method (UM) and the upscaling method with pre-calculation (UM-p) and the fine-scale model for the one-dimensional upward evaporation problem at time t = 1, 4, and 8 h using the Mualem–van Genuchten model.
Published: 01 July 2015
Fig. 5. Comparison of the water pressure head ( h ) between the coarse-scale models using the upscaling method (UM) and the upscaling method with pre-calculation (UM-p) and the fine-scale model for the one-dimensional upward evaporation problem at time t = 1, 4, and 8 h using the Mualemvan
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Comparison of the water content derived from the fine-scale model (left) and the coarse-scale model using the upscaling method with pre-calculation (UM-p) (right) at time t = 1, 2, and 5 h for the two-dimensional downward infiltration problem with the Mualem–van Genuchten model and correlation lengths λx = λz = 4 m.
Published: 01 July 2015
Fig. 14. Comparison of the water content derived from the fine-scale model (left) and the coarse-scale model using the upscaling method with pre-calculation (UM-p) (right) at time t = 1, 2, and 5 h for the two-dimensional downward infiltration problem with the Mualemvan Genuchten model
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Comparison of the water content derived from the fine-scale model (left) and the coarse-scale model using the upscaling method with pre-calculation (UM-p) (right) at time t = 1, 2, and 5 h for the two-dimensional downward infiltration problem with the Mualem–van Genuchten model and correlation lengths λx = 16 m and λz = 2 m.
Published: 01 July 2015
Fig. 15. Comparison of the water content derived from the fine-scale model (left) and the coarse-scale model using the upscaling method with pre-calculation (UM-p) (right) at time t = 1, 2, and 5 h for the two-dimensional downward infiltration problem with the Mualemvan Genuchten model
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Comparison of the water content derived from the fine-scale model (left) and the coarse-scale model using the upscaling method with pre-calculation (UM-p) (right) at time t = 1, 2, and 5 h for the two-dimensional upward evaporation problem with the Mualem–van Genuchten model and correlation lengths λx = 16 m and λz = 2 m.
Published: 01 July 2015
Fig. 19. Comparison of the water content derived from the fine-scale model (left) and the coarse-scale model using the upscaling method with pre-calculation (UM-p) (right) at time t = 1, 2, and 5 h for the two-dimensional upward evaporation problem with the Mualemvan Genuchten model
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Comparison of the water content derived from the fine-scale model (left) and the coarse-scale model using the upscaling method with pre-calculation (UM-p) (right) at time t = 1, 10, and 50 h for the two-dimensional infiltration problem with mixed boundary conditions with the Mualem–van Genuchten model and correlation lengths λx = 16 m and λz = 2 m.
Published: 01 July 2015
Fig. 22. Comparison of the water content derived from the fine-scale model (left) and the coarse-scale model using the upscaling method with pre-calculation (UM-p) (right) at time t = 1, 10, and 50 h for the two-dimensional infiltration problem with mixed boundary conditions with the Mualemvan
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Scatter plot of 1500 combinations of (A) θr–n, (B) Ks–lvg, (C) θr–σ, and (D) Ks–lk parameters sampled for the one-step outflow experiment using the SCEM-UA algorithm in the case of Scenario II for the Mualem–van Genuchten model (A–B) and Kosugi model (C–D), respectively.
Published: 01 February 2003
Fig. 7. Scatter plot of 1500 combinations of (A) θ r – n , (B) K s – l vg , (C) θ r –σ, and (D) K s – l k parameters sampled for the one-step outflow experiment using the SCEM-UA algorithm in the case of Scenario II for the Mualemvan Genuchten model (A–B) and Kosugi model (C–D
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Comparison of the average pressure heads (h) in the horizontal direction derived from the fine-scale model and the two coarse-scale models using the upscaling method (UM) and the upscaling method with pre-calculation (UM-p) at time t = 0.1, 1, and 5 h for the two-dimensional downward infiltration problem with the Mualem–van Genuchten model and correlation lengths λx = λz = 4 m.
Published: 01 July 2015
infiltration problem with the Mualemvan Genuchten model and correlation lengths λ x = λ z = 4 m.
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Univariate posterior probability distributions for the soil hydraulic parameters (A) θr, (B) α, (C) Ks, and (D) lvg in the Mualem–van Genuchten model (1980) using observed outflow dynamics during the a transient one-step outflow experiment. The symbol p(β) along the y-axis in each of the figures denotes the posterior density.
Published: 01 February 2003
Fig. 1. Univariate posterior probability distributions for the soil hydraulic parameters (A) θ r , (B) α, (C) K s , and (D) l vg in the Mualemvan Genuchten model (1980) using observed outflow dynamics during the a transient one-step outflow experiment. The symbol p (β) along the y -axis
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Comparison of the average pressure heads (h) in the horizontal direction derived from the fine-scale model and the two coarse-scale models using the upscaling method (UM) and the upscaling method with pre-calculation (UM-p) at time t = 0.1, 1, and 5 h for the two-dimensional downward infiltration problem with the Mualem–van Genuchten model and correlation lengths λx = 16 m and λz = 2 m.
Published: 01 July 2015
infiltration problem with the Mualemvan Genuchten model and correlation lengths λ x = 16 m and λ z = 2 m.
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Comparison of the average pressure heads (h) in the horizontal direction derived from the fine-scale model and the two coarse-scale models using the upscaling method (UM) and the upscaling method with pre-calculation (UM-p) at time t = 0.1, 1, and 5 h for the two-dimensional upward evaporation problem with the Mualem–van Genuchten model and correlation lengths λx = 16 m and λz = 2 m.
Published: 01 July 2015
evaporation problem with the Mualemvan Genuchten model and correlation lengths λ x = 16 m and λ z = 2 m.
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Comparison of the average pressure heads (h) in the horizontal direction derived from the fine-scale model and the two coarse-scale models using the upscaling method (UM) and the upscaling method with pre-calculation (UM-p) at time t = 1, 10, and 50 h for the two-dimensional infiltration problem with mixed boundary conditions with the Mualem–van Genuchten model and correlation lengths λx = 16 m and λz = 2 m.
Published: 01 July 2015
infiltration problem with mixed boundary conditions with the Mualemvan Genuchten model and correlation lengths λ x = 16 m and λ z = 2 m.
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The random lognormal saturated conductivity Ksε(x,z) fields for the Mualem–van Genuchten model: the isotropic case with λx = λz = 4 m (left) and the anisotropic case with λx = 16 m and λz = 2 m (right). The ratios of maximum to minimum are 1.2811 × 106 and 8.6681 × 103 for Ksε in the isotropic and anisotropic cases, respectively.
Published: 01 July 2015
Fig. 13. The random lognormal saturated conductivity K s ε ( x , z ) fields for the Mualemvan Genuchten model: the isotropic case with λ x = λ z = 4 m (left) and the anisotropic case with λ x = 16 m and λ z = 2 m (right). The ratios of maximum to minimum are 1.2811 × 10 6
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Cumulative distribution functions (CDF) of Pareto-optimal solutions for layers 1–3 from the L3 scenario at John Wayne Hill (JWH) for the Mualem–van Genuchten model (MVG) hydraulic parameters (a) residual water content, θr; (b) saturated water content, θs; (c) air entry, α; (d) n; (e) saturated conductivity, Ks, and (f) tortuosity, l.
Published: 01 February 2013
Fig. 9. Cumulative distribution functions (CDF) of Pareto-optimal solutions for layers 1–3 from the L 3 scenario at John Wayne Hill (JWH) for the Mualemvan Genuchten model (MVG) hydraulic parameters (a) residual water content, θ r ; (b) saturated water content, θ s ; (c) air entry, α; (d) n