Invariant Solutions of Richards’ Equation for Water Movement in Dissimilar Soils
Transcript of Invariant Solutions of Richards’ Equation for Water Movement in Dissimilar Soils
SSSAJ: Volume 76: Number 1 • January–February 2012
1
Soil Sci. Soc. Am. J. 76:1–9
Posted online 16 Nov. 2011
doi:10.2136/sssaj2011.0275
Received 29 July 2011.
*Corresponding author ([email protected]).
© Soil Science Society of America, 5585 Guilford Rd., Madison WI 53711 USA
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Invariant Solutions of Richards’ Equation for Water Movement in Dissimilar Soils
Soil Physics
At er Miller and Miller (1956), who introduced the “similar media” con-
cept, scaling methods were invented and have been frequently used in soil
physics studies, for example, for describing soils variability in terms of
soil hydraulic properties (Warrick et al., 1977; Ahuja and Williams, 1991; Kosugi
and Hopmans, 1998; Shouse, and Mohanty, 1998; Tuli et al., 2001; Das et al.,
2005; Nasta et al., 2009), or obtaining generalized solutions to a variety of soil–
water phenomena (Simmons et al., 1979; Sharma et al., 1980; Shukla et al., 2002,
Rasoulzadeh and Sepaskhah, 2003; Kozak and Ahuja, 2005; Roth, 2008).
One important aspect of scaling methods is to scale RE so that a single
solution will sui ce for numerous specii c cases of water l ow in a wide range of
unsaturated soils. Hence, these methods considerably reduce the calculations
required for heterogeneous soils (Warrick and Hussen, 1993). Some methods for
scaling RE were described by Reichardt et al. (1972), Warrick and Amoozegar-
Fard (1979), Warrick et al. (1985), Sposito and Jury (1985), Vogel et al. (1991),
Kutilek et al. (1991), Warrick and Hussen (1993), Nachabe (1996), Wu and Pan
(1997), and Sadeghi et al. (2011). Using specii c scaling factors, these methods
suggest linear transformations of RE variables to achieve invariant solutions for a
set of soils and/or conditions. However, satisfying the “similarity condition” for
the soils and conditions is a necessity in all these methods. h e similarity may be
M. Sadeghi*Dep. of Water EngineeringCollege of AgricultureFerdowsi Univ. of MashhadMashhad, IranandDep. of Plants, Soils, and ClimateUtah State Univ.Logan, UT 84322-4820
B. GhahramanDep. of Water EngineeringCollege of AgricultureFerdowsi Univ. of MashhadMashhad, Iran
A.N. ZiaeiDep. of Water Engineering,College of AgricultureFerdowsi Univ. of MashhadMashhad, Iran
K. DavaryDep. of Water EngineeringCollege of AgricultureFerdowsi Univ. of MashhadMashhad, Iran
K. ReichardtLab. of Soil PhysicsCenter for Nuclear Energy in AgricultureUniv. of São PauloPiracicaba, Brazil
Scaling methods allow a single solution to Richards’ equation (RE) to sufi ce for numerous specii c cases of water l ow in unsaturated soils. During the past half-century, many such methods were developed for similar soils. In this paper, a new method is proposed for scaling RE for a wide range of dissimilar soils. Exponential-power (EP) functions are used to reduce the dependence of the scaled RE on the soil hydraulic properties. To evaluate the proposed method, the scaled RE was solved numerically considering two test cases: ini ltration into relatively dry soils having initially uniform water content distributions, and gravity-dominant drainage occurring from initially wet soil proi les. Although the results for four texturally different soils ranging from sand to heavy clay (adopted from the UNSODA database) showed that the scaled solution were invariant for a wide range of l ow conditions, slight deviations were observed when the soil proi le was initially wet in the ini ltration case or deeply wet in the drainage case. The invariance of the scaled RE makes it possible to generalize a single solution of RE to many dissimilar soils and conditions. Such a procedure reduces the numerical calculations and provides additional opportunities for solving the highly nonlinear RE for unsaturated water l ow in soils.
Abbreviations: BC, Brooks–Corey; EP, exponential-power; PM, proposed method; RE, Richards’ equation; WHM, Warrick–Hussen method.
2 SSSAJ: Volume 76: Number 1 • January–February 2012
dei ned based on microscopic-scale geometry (Miller and Miller,
1956), shape of soil hydraulic functions (Simmons et al., 1979),
or a linear variability concept (Vogel et al., 1991).
h e similarity condition is dii cult to truly hold in reality
and will be a limitation for the application of previous scaling
methods to real soils. Focusing on this limitation, the objective
of this study was mainly developing a method to scale RE
applicable to dissimilar soils and specii cally extending the
method of Warrick and Hussen (1993). Adopting Brooks-Corey
soil hydraulic models, Warrick and Hussen (1993) developed
scaled solutions of RE invariant to the saturated and residual
volumetric water contents, saturated hydraulic conductivity,
and air-entry pressure head, as well as boundary or initial
conditions. However, the scaled solutions were still dependent
on the shape parameters of the Brooks–Corey functions, λ and
v. In other words, equality in λ and v is a requirement (i.e., the
similarity condition) in this method and the scaled solutions will
be invariant only for soils having equal values of λ and v. Here,
we handle this limitation and present a new method to scale RE
considering dissimilar soils.
THEORY
Richards’ (1931) equation is obtained by combining Darcy’s
law, q = -K(;h/;z –1), and the mass conservation law, ;θ/;t =
-;q/;z, which, in one-dimensional form, is written as:
hK K
t z z
θ¶ ¶ ¶æ ö= -ç ÷¶ ¶ ¶è ø [1]
where q [LT−1] is the water l ux density, θ [L3L–3] the soil wa-
ter content, h [L] the pressure head, K [LT–1] the unsaturated
hydraulic conductivity, t [T] the time, and z [L] the soil depth
positive downward.
Warrick–Hussen Method for Scaling Richards’ Equation
Warrick and Hussen (1993) adopted Brooks and Corey,
hereinat er BC, (1964) soil hydraulic functions as follows:
( ) , ( 0)r s r b
b
hh h
h
λ
θ θ θ θ-
æ ö= + - < <ç ÷
è ø [2]
, ( 0)
v
s b
b
hK K h h
h
-æ ö
= < <ç ÷è ø
[3]
where θs and θr are the saturated and residual volumetric water
contents, respectively, Ks the saturated hydraulic conductivity, hb
the air-entry pressure head, and λ and v the shape parameters.
Considering a boundary or initial water content, θ0, and
dei ning the absolute value of h0 = h(θ0) (i.e., the pressure head
corresponding to θ0) as a length scaling factor, z0 [L], Warrick and
Hussen proposed the following scaled functions and variables:
*
0
r
r
θ θθθ θ-
=-
[4]
*
0
hh
z= [5]
*
0
KK
K= [6]
*
0
zz
z= [7]
( )* 0
0 0r
K tt
zθ θ=
- [8]
where K0 represent K(θ0) (i.e., the hydraulic conductivity cor-
responding to θ0). Considering Warrick and Hussen dei nitions
of θ0 (boundary water content in ini ltration and initial water
content in drainage— discussed in detail later), in this method,
θ* and K* range between 0 and 1 and h* ranges from −1 to -Y.
Substituting the dimensionless functions and variables, Eq.
[4] to [8], into Eq. [1] yields a scaled form of RE as follows:
* ** *
* * *
hK K
t z z
θ æ ö¶ ¶ ¶= -ç ÷¶ ¶ ¶è ø
[9]
with the following scaled forms of BC hydraulic functions:
( )* *hλ
θ-
= - [10]
( )* * vK h
-= - [11]
Equation [9] is expressed in a form independent of θ0, θs,
θr, Ks, and hb. However, λ and v are the hydraulic parameters
remaining in Eq. [10] and [11] which make Eq. [9] dependent
on the soil properties. h erefore, the scaled solutions will be
invariant only for the similar soils (i.e., with the same values of
λ and v).
Combining Eq. [9], [10], and [11] yields the following form
of the scaled RE rearranged based on θ*:
2
2* * * 2 * * **
* * * * **
dD dKD
t d z d zz
θ θ θ θθ θæ ö¶ ¶ ¶ ¶
= + -ç ÷¶ ¶ ¶¶è ø [12]
where D* is the scaled form of dif usivity, D = Kdh/dθ[L2T–1],
as follows:
** *
*
dhD K
dθ= [13]
h e i rst two terms in the right hand side of Eq. [12] are
called hereinat er dif usivity terms and the third one is called
gravity term. Combining Eq. [10–13], the scaled RE of the
Warrick–Hussen method (WHM) is given in terms of the shape
parameters, λ and v:
( )( )
( )( ) ( )( )2
2* *2 1 /*
* 2 *
2 * *1 / /* *
**
1
1
v
v v
v
t z
v
zz
λ λ
λ λ λ λ
θ λ θθ
λ
θ θθ θ
λ λ
- -
- - -
æ ö¶ - - ¶= +ç ÷¶ ¶è ø
¶ ¶-
¶¶
[14]
SSSAJ: Volume 76: Number 1 • January–February 2012 3
As can be seen, in the WHM, all the three terms are
dependent on the shape parameters. h erefore, this method does
not give opportunity to scale two dissimilar soils (e.g., a sand and
a clay) which have signii cantly dif erent shape parameters. In
the following, we propose a scaling method by which scaling of
dissimilar soils is expectable under some special scenarios.
Proposed Method for Scaling Richards’ EquationExperimental (Nielsen et al., 1973) and theoretical
(Hunt, 2004) studies indicate that the following exponential
conductivity model can be applied adequately for many soils:
( ) ( )exp , s s tK K s θ θ θ θ= - ³é ùë û [15]
where θt is a threshold soil water content below which Eq. [15]
does not apply, and s is a i tting parameter. Adopting Eq. [15] in
combination with the power relationship between K and h, Eq.
[3], yields the following water retention model:
( ) ( )exp , b s t
sh h
vθ θ θ θé ù= - ³ê úë û
[16]
and dif usivity model:
( ) ( ) ( )1
exp s bs t
s vK h sD
v vθ θ θ θ
-é ù=- - ³ê ú
ë û [17]
Equations [15 −17] which also keep the power relationships
between h, K, and D are called hereinat er EP models.
In the PM, we consider soil water phenomena in which the
soil proi le never dries beyond θt. We dei ne the following scaled
soil water content and time:
* 1
0 1
θ θθθ θ-
=- [18]
( )* 0
0 1 0
K tt
zθ θ=
- [19]
where θ1 is a soil water content between θs and θt (discussed in
detail later), and the length scaling factor, z0, is dif erently de-
i ned in this method as follows:
( )0 0 1
0
0
Dz
K
θ θ-= [20]
where D0 = D(θ0). Using Eq. [16], [17], and [18], it can be indi-
cated that Eq. [20] results in:
0 0 1lnz h H=- [21]
where H1 = h(θ1)/h0. Scaled h, K, and z are kept the same as
dei ned in Eq. [5] to [7], although with the newly dei ned length
scaling factor, z0, as Eq. [20] or [21]. Substituting the proposed
scaled functions and variables into Eq. [1], the resulting scaled
RE remains in the form of Eq. [9], however; the following scaled
hydraulic functions are applied instead of Eq. [10] and [11]
(proven in Appendix A):
( )* *1
1
1exp ln 1
lnh H
Hθ
- é ù= -ë û [22]
( )* * *1exp ln 1K K θé ù= -ë û [23]
where ( ) ( )* *1 1 1 0/K K K Kθ θ= = and is given as follows based on
Eq. [15] (see Appendix A):
( )*1 0 1exp K s θ θ= - -é ùë û [24]
In this method, scaled dif usivity can also be dei ned as follows
which is in agreement with the previous dei nition in Eq. [13]:
*
0
DD
D= [25]
It should be noticed that Eq. [25] is not the case in WHM
(i.e., Eq. [13] and [25] result in dif erent scaled functions in
WHM). Based on Eq. [17] and [25], the scaled dif usivity model
of the PM is yielded as follows (see Appendix A):
( )* * *1exp ln 1D D θé ù= -ë û [26]
where ( ) ( )* *1 1 1 0/D D D Dθ θ= = and is given as follows based on
Eq. [17]:
( ) ( )*1 0 1
1exp
s vD
v
-é ù= - -ê ú
ë û [27]
Substituting Eq. [24] and [26] into Eq. [12] yields the
scaled RE of the PM as:
( ) ( )
( )
2
2* * 2 ** * * * *
1 1 1* * *
** * *
1 1 *
ln exp ln 1 exp ln 1
ln exp ln 1
D D Dt z z
K Kz
θ θ θθ θ
θθ
æ ö¶ ¶ ¶é ù é ù=- - + - +ç ÷ë û ë û¶ ¶ ¶è ø¶é ù-ë û ¶
[28]
h erefore, in the PM, soil-dependency of the scaled
RE is dei ned in terms of *1K and *
1D rather than the shape
parameters of the hydraulic functions as is the case in WHM,
Eq. [14]. h is property allows us to i nd conditions under which
scaling of dissimilar soils (even with signii cantly dif erent shape
parameters) is expected.
Two special scenarios are considered here under which the
scaled RE, Eq. [12] or Eq. [28], is invariant (soil-independent)
and the scaling method is applicable to dissimilar soils: (i) when *
1D is the same for dif erent soils and when gravity is negligible
(i.e., the l ow regime is capillarity-dominated such as ini ltration
into initially relatively dry soils), and (ii) when *1K is the same
for dif erent soils and when dif usion (capillarity) is negligible
(i.e., the l ow regime is gravity-dominated such as free drainage
from an initially wet soil).
Equality of *1D in scenario A or *
1K in scenario B for
dif erent soils is obtained through a proper choice of θ1 according
to Eq. [24] or [27], respectively. h erefore, the θ1 value plays an
important role in the PM to determine the conditions under
which scaling of dissimilar soils is possible.
4 SSSAJ: Volume 76: Number 1 • January–February 2012
MATERIALS AND METHODSFour texturally dif erent soils that cover a wide texture
range regarding the shape parameters (λ, v, and s) were selected
from the UNSODA database (Leij et al., 1996). h e soils in
the UNSODA have been named with codes 3142 (sand), 2680
(loam), 1360 (silty clay), and 1400 (clay). Although the PM
applies for θ ≥ θt, for determining the EP models parameters, we
adopted the following piece-wise model which modii es Eq. [17]
for entire range of θ:
( ) ( )
( ) ( )
exp
exp exp < <
b s t
tb s t r t
r
sh h
v
sh h
v
θ θ θ θ
θ θθ θ δ θ θ θ
θ θ
ì é ù= - ³ï ê úë ûïí é ùæ ö-é ùï = - ê úç ÷ê úï -ë û è øë ûî
[29]
where δ is calculated from the equality of the derivatives of the
two pieces at θ = θt:
( )t r
s
vδ θ θ= - [30]
h e BC and EP parameters of the soils, presented in Table
1, were determined by i tting Eq. [2], [3], and [29] to the
experimental data. Since the best i tting hb was dif erent for each
equation, we considered a dif erent hb for each of them and then
assumed the geometrical mean of the three values for each soil.
However, identical θs and θr were considered for Eq. [2] and
[29]. Goodness of i t of BC and EP models was approximately
identical as shown, for example, for the sand (3142) and the clay
(1400) soils, in Fig. 1 in which the models are in agreement.
To show the improvements of the PM to scale RE, Warrick
and Hussen (1993) evaluations were repeated for both methods.
h e scaled RE, Eq. [9], was solved numerically
with the scaled hydraulic functions of [10] and
[11] for the WHM, and [22] and [23] for the
PM. h e numerical calculations were performed
using the i nite dif erence method with the fully
implicit scheme identical to that of HYDRUS-1D
(Simunek et al., 2005). To do so, a computer code
was written in MATLAB.
Two test cases were considered: (i) ini ltration
with constant water content at the soil surface into a uniformly dry
soil, and (ii) drainage of a uniformly wet soil with no l ow at the
soil surface. θ0 was dei ned in a similar way as Warrick and Hussen
(1993) did (i.e., upper boundary water content for ini ltration
and initial water content for drainage). We set θ1 as initial water
content in the ini ltration case (Scenario i). Hence, ini ltration
solutions can be scaled for dif erent soils, each having a specii c
value of initial water contents (θ1) so that gives an identical *1D
based on Eq. [26]. For the drainage case (Scenario ii), θ1 can be
considered as an arbitrary value between θs and θt so that gives
an identical *1K for dif erent soils based on Eq. [24]. Table 2
summarizes the boundary and initial conditions in the two cases.
In this table, L is the length of the soil column in drainage.
Considering Darcy’s law, q = –K(;h/;z –1), the three Eq.
of [5], [6], and [7] suggest the following scaled l ux density, q*,
in both methods:
*
0
K= [31]
Applying Eq. [4], [6], and [31], the scaled boundary
and initial conditions as reported in Table 3 are attained. In
the WHM, the scaled lower boundary and initial conditions
in ini ltration, *1 , is dependent on θ1 and inl uences the
scaled solutions. h erefore, in the WHM, an identical *1 was
considered for all soils. h e scaled length of the soil column
in drainage, L*, also inl uences the scaled solutions in both
methods. All other scaled boundary and initial conditions are
invariant in the PM. However, as discussed earlier, the value of θ1
in any case inl uences the scaled solutions of the PM.
Another requirement regarding *
1D and *1K is that they should
be corresponding to θ1 values not
less than θt. Hence, *1D and *
1K
should not be less than a minimum
value according to Eq. [24] and
[27], respectively. Based on these
equations, when θ0 and θ1 are equal
to their maximum and minimum
allowable values (i.e., θs and θt,
respectively), *1D and *
1K take
their minimum value, for example,
8.94E-3 and 2.26E-3, respectively,
for 3142 and, 1.63E-5 and 4.5E-10,
respectively, for 1360.
Table 1. Brooks–Corey and exponential-power hydraulic parameters of the selected soils.
Code Texture θs
θt
θr
hb K
sλ v s
cm cm d–1
3142 sand 0.355 0.137 0.0657 21.5 35.00 1.1153 4.43 27.95
2680 loam 0.593 0.190 0.0252 5.4 76.00 0.1853 2.31 41.23
1360 sily clay 0.439 0.103 0 55.6 0.35 0.0934 2.05 64.05
1400 clay 0.439 0.065 0 66.23 0.20 0.0814 1.69 60.8
Fig. 1. Soil water retention curves of soils (a) 3142 (sand), and (b) 1400 (clay).
SSSAJ: Volume 76: Number 1 • January–February 2012 5
RESULTS AND DISCUSSIONIni ltration
Scaled solutions of the WHM for the constant-θ ini ltration,
considering two scaled initial water content, *1 , of 0.02 and 0.2,
are presented in Fig. 2. h e i gure shows
plot of the scaled water content vs. the
scaled depth at t* = 0.1 which, assuming
θ0 = θs, is corresponding to t = 0.42 and
349 h in soils 3142 and 1400, respectively.
Due to the wide range of λ and v for the
four selected soils (see Table 1), the scaled
solutions of the WHM are signii cantly
dif erent. h is is quantitatively shown by
the mean absolute error (MAE) values
appearing in the i gure which represent
an average of the absolute deviations of θ*
from a mean curve along the wetting zone
(the mean curve is obtained by averaging
θ* of dif erent soils at each z*). Since the
WHM is expected to give invariant scaled
solutions for similar soils (i.e., with equal
values of λ and v), these selected soils are
indicating a high degree of dissimilarity
which provides an opportunity to
seriously evaluate the PM.
Figure 3 shows the scaled solutions of
the PM for ini ltration with two specii c *
1D of 1E-4 and 1E-2. h e scaled water
content proi les are shown at t* = 0.1 and
0.3 (For θ0 = θs and *1D = 1E-2, t* = 0.1
is corresponding to t = 0.43 and 865 h in
soils 3142 and 1400, respectively). Since
1E-4 is less than the minimum allowable
value of *
1D in soil 3142, this soil is not
included in Fig. 3a.
Although the soils are highly
dissimilar, Fig. 3 indicates that the scaled
solutions are nearly invariant for all soils
and show a unii ed curve. However, a slight
deviation exists in Fig. 3b in which the
initial soil represents a wetter condition
especially when time increases and the
soil proi le becomes deeply saturated. As
discussed earlier, this is due to the ef ect
of the gravity term which, when *1D is
identical for all soils, remains as the only
soil-dependent term of Eq. [28] and is
more pronounced when the wetness
increases within the soil proi le.
Figure 4 presents scaled cumulative
ini ltrated water, I*, curves corresponding
to Fig. 3 which were calculated using Eq.
[7] and [18] as follows:
Table 2. Boundary and initial conditions in the two test cases.
Case Upper boundary Lower boundary Initial
Ini ltration θ = θ0 θ = θ1 θ = θ1
Drainage q = 0 Free drainage (q = K) θ = θ0 (z < L)
Table 3. Scaled boundary and initial conditions in the two test cases.
Case
Warrick–Hussen method Proposed method
Upperboundary
Lowerboundary
InitialUpper
boundaryLower
boundaryInitial
Ini ltration θ* = 1 θ* = θ*1† θ* = θ*1 θ* = 1 θ* = 0 θ* = 0
Drainage q* = 0 q* = K* θ* = 1 (z* < L*‡) q* = 0 q* = K* θ* = 1 (z* < L*)
† θ*1 = (θ1 – θr)/(θ0 – θr).
‡ L* = L/z0.
Fig. 2. Scaled water content vs. scaled depth obtained using the Warrick–Hussen method for constant-θ ini ltration with (a) *
1 = 0.02, and (b) *1 = 0.2 at t* = 0.1.
Fig. 3. Scaled water content vs. scaled depth obtained using the proposed method for constant-θ ini ltration with (a) *
1D = 1E-4, and (b) *1D = 1E-2.
6 SSSAJ: Volume 76: Number 1 • January–February 2012
( )* * *
00 1 0
II dz
zθ
θ θ
¥= =
-ò [32]
where ( )10
I dz¥
= -ò [L] is the cumulative ini ltrated water.
Similarly, the scaled curves of Fig. 4a are invariant, while those
of Fig. 4b deviate at large times. It is noticeable that the scaled
curves of Fig. 4b are invariant until about t* = 0.2 at which
ini ltration rate approaches a constant value (i.e., the i nal
ini ltration rate) and gravitational force becomes signii cant
(Assuming θ0 = θs, t* = 0.2 equals 0.86 and 1730 h in soils 3142
and 1400, respectively).
As can be realized from Eq. [9], the signii cance of the
dif usivity and gravity terms of Eq. [12] is af ected by the gradient
;h*/;z*. With increasing ini ltration time, the magnitude of
;h*/;z* along the soil proi le decreases and consequently, the
impact of gravity increases. Hence, to quantify the range of
applicability of the PM during ini ltration, we consider gradient
of h* along the entire l ow zone as G = |Δh*|/Δz* ( = |Δh|/Δz).
In this case, Δz* equals the scaled wetting front depth, *fz (i.e.,
zf/z0, where zf is the wetting front depth), and |Δh*| represents
the dif erence between |h*| at the soil surface and z = zf.
h e values of G in Fig. 5 corresponding to the scaled results
presented in Fig. 3 and 4 quantify the scaling performance. It
is obvious that G, and as a result
scaling performance of the PM,
diminishes when: (i) ini ltration
time increases, (ii) initial soil water
content (θ1) increases, and (iii) soil
texture becomes coarser. Based on
the information derived from Fig. 3,
4, and 5, we conclude that whenever
values of G roughly exceed 10, the
impact of gravity will be negligible
and the PM applicable.
Combining Eq. [7], [21], and
[22], the magnitude of G during
ini ltration becomes:
1 01
*1
1
lnf f
h hHG
z H z
--= = [33]
Hence, whenever *
1 10.1 1 /lnf
z H H< - or 1 00.1fz h h< - , we
know that G is larger than 10 and the PM is valid.
Drainageh e WHM scaled water content proi les for drainage at t*
= 0.1 are presented in Fig. 6 considering two cases of L* = L/
z0 = 0.1 and 0.5 (For θ0 = θs, L* = 0.5 is corresponding to L
= 10.75 and 33.1 cm in soils 3142 and 1400, respectively). h e
scaled results in the three i ner soils (2680, 1360, and 1400) are
closed to each other, however, a large deviation is observed for
the sand (3142).
h e scaled proi les of the PM for drainage are shown in
Fig. 7 for L* = 0.1 and 0.5 and for *1K = 5E-3 considering the
minimum allowable values of *1K for the four soils (For θ0 = θs,
L* = 0.5 is corresponding to L = 12.9 and 101.25 cm in 3142
and 1400, respectively). h e scaled proi les are invariant in the
shorter column, while deviate near the soil surface in the longer
column. As far as the θ* proi les are vertical (as can be seen in Fig.
7a), the scaled results are invariant and when the proi les depart
Fig. 4. Scaled cumulative ini ltrated water vs. scaled time obtained using the proposed method for constant-θ ini ltration with (a)
*1D = 1E-4, and (b)
*1D = 1E-2.
Fig. 5. Values of G = |∆h*|/∆z* corresponding to the proposed method (PM) scaled results shown in (a) Fig. 3a and (b) Fig. 3b.
SSSAJ: Volume 76: Number 1 • January–February 2012 7
from the vertical line, as occurs in
long columns (Fig. 7b), the scaled
solutions will become apart.
Since the no l ow upper
boundary condition and free
drainage lower boundary condition
are maintained during drainage,
|;h*/;z*| always equals unity at z
= 0 and zero at z = L. h erefore,
G (equal to |Δh*|/L* in this case)
should always manifest values
between 0 and 1. Evaluating the
results presented in Fig. 7, we
ascertain that values of G remaining
between 0.4 and 0.5 do not
signii cantly change with time, soil,
or conditions.
We learn that although the
drainage l ow regime is always
dominated by the force of gravity,
the small, ever-present capillary force
(with a nearly constant ratio to that
of gravity) af ects the reliability of the PM, particularly for the
drainage of longer columns discussed in the following paragraph.
Since G is roughly constant, |Δh*| increases when L*
increases and for each specii c L*, |Δh*| is almost identical for
dif erent soils (consider |Δh*| = GL*). Due to the pressure head
dif erence between the top and bottom of the column, θ* proi les
deviate from the vertical line. Having the same Δh*, this deviation
is more in coarser soils and less in i ner soils due to their dif erent
water retention capability. h at is why with increasing L* and
as a result increasing |Δh*|, ef ect of the existent capillary drive
becomes more pronounced and the scaled solutions become
more apart from each other.
Based on the above discussion,
the applicability range of the PM in
this case can be judged only by L*
value. As Fig. 7 shows, the scaled results
start to deviate in the case of L* = 0.5.
Hence, as far as L* < 0.5 or, based on
Eq. [21], ( )0 1 00.5 ln /L h h h<- , the
PM can be applicable in this case.
Regenerating the Solutions of Richards’ Equation
h e invariance of the scaled
RE of the proposed method makes
it possible to generalize a single
solution of RE to many dissimilar
soils and conditions. In this
section, by an example, we show
the applicability of the PM for
regenerating RE solution for a specii c soil when the solution is
known for another soil.
Assume that RE solution is known for the constant-θ
ini ltration, for example, in the loamy soil of 2680 with θ0 = 0.9θs
and θ1 = θt. We call this case as the i rst case. Using the solution
for this case, we intend to estimate the RE solution in a second
case, for example, in the clayey soil of 1400 with the upper
boundary water content of θ0 = θs. For equality of *1D in the
two cases (as a requirement in the PM), the following equation
obtained from Eq. [27] should be held:
( ) ( ) ( ) ( )0 1 0 1
first case second case
1 1s v s v
v vθ θ θ θ
- -é ù é ù- = -ê ú ê ú
ë û ë û [34]
Fig. 6. Scaled water content vs. scaled depth obtained using the Warrick–Hussen method for drainage in a proi le with scaled depth of (a) 0.1 and (b) 0.5 at t* = 0.1.
Fig. 7. Scaled water content vs. scaled depth obtained using the proposed method for drainage in a proi le with scaled depth of (a) 0.1 and (b) 0.5 assuming
*1K = 5E-3.
8 SSSAJ: Volume 76: Number 1 • January–February 2012
by which θ1 in the second case is required to be equal to 0.108.
As can be seen in Table 1, this value of θ1 is within the valid range
(between θs and θt) for soil 1400. Note that if the calculated θ1
was less than θt, the i rst case solution could not be applied to the
second case. Hence, such an application of the PM is limited to a
specii c range of initial water content (θ1) dependent on the soil
properties and θ0 of the i rst and second case.
First, RE was solved for the i rst case. h e solutions, in
terms of cumulative ini ltration, were scaled using Eq. [8] and
[32] by application of the properties (θ0, θ1, z0, and K0) of 2680.
Assuming that the scaled solutions of the two cases are the same,
these scaled solution were de-scaled (converted to the real scale)
using Eq. [8] and [32], this time, by application of the properties
of 1400. h e descaled solution in comparison with the direct
solution of RE for 1400 are presented in Fig. 8 which shows that
both solutions are in a good agreement.
CONCLUSIONSIn this paper, a new method has been proposed for scaling RE
for water movement in dissimilar soils. Considering a wide range
of soils from sand to heavy clay, solutions of the proposed scaled
RE are approximately invariant for ini ltration and drainage.
However, the scaled solutions deviate when gravitational force
increases (G roughly becomes less than 10) in the ini ltration
case or column depth increases (L* roughly becomes more than
0.5) in the drainage case.
A primary limitation of this method is that it applies only for
the EP hydraulic functions, Eq. [15−17]. Perhaps, future studies
can involve other forms of the hydraulic functions. Also, this
scaling method is applicable only to the soil water phenomena in
which the soil proi le never dries beyond a threshold, θt.
Applicability of the proposed method to regenerate
RE solutions has been indicated. h is kind of application
introduces this method as a promising tool to reduce tedious and
complicated numerical calculations and opens a new window to
easily obtain approximate solutions to the highly nonlinear RE for
water l ow in unsaturated soils, within prescribed levels of error.
APPENDIX A: DERIVATION OF THE SCALED HYDRAULIC FUNCTIONS OF THE PROPOSED METHOD (EQUATIONS [22], [23], AND [26])
Rewriting Eq. [15] for θ0 yields:
( )0 0exp s sK K s θ θ= -é ùë û [A1]
Dividing [15] by [A1] yields:
( )*0
0
exp K
K sK
θ θ= = -é ùë û [A2]
which equals:
( ) ( )
( )( )
* 0 11 0 1 0
1 0 0 1
*1 0
exp exp 1
=exp 1
K s s
s
θ θ θ θθ θ θ θ
θ θ θ θ
θ θ θ
é ùé ù æ ö- -= - = - -ê úç ÷ê ú- -ë û è øë û
é ù- -ë û
[A3]
Rewriting [A2] for θ1 yields Eq. [24] which also can be written
in the following form:
( ) *1 0 1 =ln s Kθ θ- [A4]
Combining Eq. [A3] and [A4], Eq. [23] is obtained.
Starting from Eq. [17] and going through a similar way,
Eq. [26] can be easily proven. Using Eq. [16], the following
relationship can be derived similarly:
( )*1
0 0
exp ln 1hh
h h
é ù= -ê ú
ë û [A5]
Combining Eq. [21] and Eq. [A5], Eq. [22] can be derived:
( )* *1
0 0 1 1
1exp ln 1
ln ln
h hh H
z h H Hθ
- é ù= = = -ë û- [22]
ACKNOWLEDGMENTSWe gratefully acknowledge Professors A.W. Warrick, D.R. Nielsen, and A.R. Sepaskhah for their thorough review and helpful comments. Mr. Behzad Ghanbarian-Alavijeh is also thanked for his contribution regarding Eq. [29]—a modii cation of EP models.
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