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Theory and equations

Soil hydraulic property models

The unsaturated soil hydraulic properties θ(h) and K(h) are described with closed-form equations Šimůnek et al. (2009). In all models the effective saturation is

Se = (θ − θr) / (θs − θr)

with the residual and saturated water contents θr and θs.

van Genuchten – Mualem

van Genuchten (1980) used the statistical pore-size distribution model of Mualem (1976) to obtain a predictive equation for the unsaturated conductivity from the retention function:

θ(h) = θr + (θs − θr) / [1 + |αh|n]m for h < 0; θ(h) = θs for h ≥ 0
K(h) = Ks Sel [1 − (1 − Se1/m)m]2, m = 1 − 1/n, n > 1

α [1/L], n and l are empirical parameters; l is the pore-connectivity parameter, estimated as 0.5 by Mualem (1976) (the parameter l).

van Genuchten with an air-entry value of −2 cm

For fine-textured soils with n close to 1 the van Genuchten–Mualem conductivity drops steeply just below saturation, which makes the numerical solution unstable and the predictions poor. Vogel et al. (2001) and Schaap and van Genuchten (2006) introduced a small minimum capillary height hs = −2 cm: the retention curve is the van Genuchten function with the fictitious saturated water content θm chosen so that θ(hs) = θs,

θm = θr + (θs − θr) (1 + |α hs|n)m

and the conductivity follows the modified model below with θa = θr, θk = θs, Kk = Ks.

Modified van Genuchten (Vogel and Císlerová)

Vogel and Císlerová (1988) added flexibility near saturation with a non-zero air-entry value hs:

θ(h) = θa + (θm − θa) / (1 + |αh|n)m for h < hs; θ(h) = θs for h ≥ hs
K(h) = Ks Kr(h) for h ≤ hk; K(h) = Kk + (h − hk)(Ks − Kk)/(hs − hk) for hk < h < hs; K(h) = Ks for h ≥ hs
Kr = (Kk/Ks) (Se/Sek)l [ (F(θr) − F(θ)) / (F(θr) − F(θk)) ]2
F(θ) = [1 − ((θ − θa)/(θm − θa))1/m]m, Sek = (θk − θr)/(θs − θr)

θm ≥ θs and θa ≤ θr are fictitious extrapolations of the retention curve; Kk is a measured conductivity at the water content θk (hk = h(θk)). With θa = θr, θm = θk = θs and Kk = Ks the original van Genuchten–Mualem model results.

Brooks and Corey

Se = |αh|−n for h < −1/α; Se = 1 for h ≥ −1/α
K = Ks Se2/n + l + 2

Brooks and Corey (1964); here n is the pore-size distribution index (λ) and 1/α the air-entry (bubbling) pressure head.

Kosugi (log-normal)

Kosugi (1996) assumed a log-normal pore-size distribution; with Mualem's model:

Se = ½ erfc[ ln(h/h0) / (√2 σ) ] for h < 0
K = Ks Sel { ½ erfc[ ln(h/h0) / (√2 σ) + σ/√2 ] }2

In the parameter table α holds h0 (the median pressure head) and n holds σ (the standard deviation of ln |h|), as in HYDRUS.

Durner (dual porosity)

Durner (1994) divided the pore space into two overlapping regions, each with a van Genuchten–Mualem function; their linear superposition describes multimodal pore systems:

Se = w1 [1 + (α1 h)n1]−m1 + w2 [1 + (α2 h)n2]−m2
K(Se) = Ks (w1 Se1 + w2 Se2)l ( w1 α1 [1 − (1 − Se11/m1)m1] + w2 α2 [1 − (1 − Se21/m2)m2] )2 / (w1 α1 + w2 α2)2

with the weights w1 = 1 − w2 and mi = 1 − 1/ni.

Look-up tables

Instead of a model, θ(h), K(h) and C(h) can be given as tables (file Mater.in of HYDRUS-1D); values between the tabulated heads are interpolated.

Temperature dependence

With temperature-dependent hydraulic properties, the pressure head is scaled with the surface tension σ and the conductivity with the dynamic viscosity μ and the density ρ of water at the soil temperature T, relative to a reference temperature Philip and de Vries (1957); Constantz (1982):

h(T) = h(Tref) σ(T) / σ(Tref)
K(T) = K(Tref) [μ(Tref) ρ(T)] / [μ(T) ρ(Tref)]

The conductivity of water-saturated soil increases by about 2 % per °C, mostly through the viscosity.

Typical values

The soil catalog of Carsel and Parrish (1988) gives average parameters of the textural classes; Rosetta predicts them from the texture Schaap et al. (2001); Zhang and Schaap (2017).

Literature cited in this topic

  • Brooks, R. H., and A. T. Corey (1964). Hydraulic Properties of Porous Media. Hydrology Paper No. 3, Colorado State University, Fort Collins, CO, 27 pp.
  • Carsel, R. F., and R. S. Parrish (1988). Developing joint probability distributions of soil water retention characteristics. Water Resources Research 24(5): 755–769. doi:10.1029/WR024i005p00755
  • Constantz, J. (1982). Temperature dependence of unsaturated hydraulic conductivity of two soils. Soil Science Society of America Journal 46(3): 466–470. doi:10.2136/sssaj1982.03615995004600030005x
  • Durner, W. (1994). Hydraulic conductivity estimation for soils with heterogeneous pore structure. Water Resources Research 30(2): 211–223. doi:10.1029/93WR02676
  • Kosugi, K. (1996). Lognormal distribution model for unsaturated soil hydraulic properties. Water Resources Research 32(9): 2697–2703. doi:10.1029/96WR01776
  • Mualem, Y. (1976). A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resources Research 12(3): 513–522. doi:10.1029/WR012i003p00513
  • Philip, J. R., and D. A. de Vries (1957). Moisture movement in porous materials under temperature gradients. Transactions, American Geophysical Union 38(2): 222–232. doi:10.1029/TR038i002p00222
  • Schaap, M. G., and M. Th. van Genuchten (2006). A modified Mualem–van Genuchten formulation for improved description of the hydraulic conductivity near saturation. Vadose Zone Journal 5(1): 27–34. doi:10.2136/vzj2005.0005
  • Schaap, M. G., F. J. Leij, and M. Th. van Genuchten (2001). Rosetta: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions. Journal of Hydrology 251(3–4): 163–176. doi:10.1016/S0022-1694(01)00466-8
  • van Genuchten, M. Th. (1980). A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal 44(5): 892–898. doi:10.2136/sssaj1980.03615995004400050002x
  • Vogel, T., and M. Císlerová (1988). On the reliability of unsaturated hydraulic conductivity calculated from the moisture retention curve. Transport in Porous Media 3: 1–15. doi:10.1007/BF00222683
  • Vogel, T., M. Th. van Genuchten, and M. Císlerová (2001). Effect of the shape of the soil hydraulic functions near saturation on variably-saturated flow predictions. Advances in Water Resources 24(2): 133–144. doi:10.1016/S0309-1708(00)00037-3
  • Zhang, Y., and M. G. Schaap (2017). Weighted recalibration of the Rosetta pedotransfer model with improved estimates of hydraulic parameter distributions and summary statistics (Rosetta3). Journal of Hydrology 547: 39–53. doi:10.1016/j.jhydrol.2017.01.004
  • Šimůnek, J., M. Šejna, H. Saito, M. Sakai, and M. Th. van Genuchten (2009). The HYDRUS-1D Software Package for Simulating the One-Dimensional Movement of Water, Heat, and Multiple Solutes in Variably-Saturated Media, Version 4.08. HYDRUS Software Series 3, Department of Environmental Sciences, University of California Riverside, Riverside, CA, USA, 330 pp. https://www.pc-progress.com/en/Default.aspx?h1d-description

All sources: References.