poster - International Conference of Agricultural Engineering
poster - International Conference of Agricultural Engineering poster - International Conference of Agricultural Engineering
Identification of Free-form Parameterized Soil Hydraulic Properties in Non-isothermal Subsurface Water Flow Using Inverse Technique Tomoki Izumi 1 *, Masayuki Fujihara 2 1 Faculty of Agriculture, Ehime University, 3-5-7 Tarumi, Matsuyama, 790-8566 Japan *Corresponding author. E-mail: t_izumi@agr.ehime-u.ac.jp Abstract An inverse modeling to identify the soil hydraulic properties in a variably saturated water flow in non-isothermal soil based on field observation is proposed. The governing equations are the mixed form Richards equation and the heat conduction equation to consider the soil surface water movement significantly affected by the soil temperature. After the soil water retention curve function is given in advance, the relative hydraulic conductivity which is the major unknown parameter here is determined using inverse technique. For the representation of RHC function, a free-form parameterization appraoch using a sequence of piecewise cubic spline function is employed to express the flexible function form of the parameter. The inverse problem is solved using a simulation-optimization method after defined as the minimization of errors between the observed and computed pressure heads. The validity of the model is shown from the validation results of the model developed through its practical application to in-situ soil. Key words: Parameter identification, Simulation-optimization method, Mixed form Richards equation, Heat conduction equation, Field observation. 1. Introduction Understanding of water movement through soil is quite important in agriculture. The water flow in soil is governed by Richards equation (RE). Generally, analytical solutions of RE are not possible except under very restricting assumption due to the strong nonlinearity of the parameters involved. Instead, there have been many attempts to develop numerical methods (Hillel, 1998). The success of these numerical methods depends on the parameter identification which is a critical step in modeling process, as well as the model structure given by governing equations. Most of the earlier works on parameter identification have commonly treated the well-defined models describing the soil hydraulic properties (SHPs), i.e. the unsaturated hydraulic conductivity and the soil water retention curve, by a fixed-form function such as the van Genuchten-Mualem model (Mualem, 1976; van Genuchten, 1980). Although the fixed-form functions make the inverse modeling relatively easy-to-handle due to the limited number of unknown parameters, drawbacks are caused in employing this type of the function. Alternatively, Bitterlich et al. (2004) proposed an inverse method using a freeform parameterization approach. In the approach, the unknown parameters, SHPs, are represented by a sequence of piecewise polynomial functions. Iden and Durner (2007, 2008) suggested the modified method proposed by Bitterlich et al. (2004). In their works, the validity of the methods is examined based on synthetic data sets and measurements through the multistep outflow or evaporation experiments in laboratory scale. On the other hand, Izumi et al. (2008) proposed a field-oriented approach for the inverse estimation of SHPs based on the free-form parameterization because the laboratory experiments cannot be performed under fully natural conditions. Izumi et al. (2009) also proposed an inverse method to estimate SHPs in non-isothermal soil since the soil surface water movement is significantly affected by the soil temperature. Additionally, Izumi et al. (2011) presented an inverse modeling for the mixed form of RE which is one of three forms of
RE because it has the advantages over the other forms in applicability. However, the method presented by Izumi et al. (2011) does not consider the effect of soil temperature on water movement in soil. The purpose of this paper, thus, is to develop an inverse modeling for the mixed form RE in non-isothermal soil. Firstly, the governing equations (forward problem, FP) are described, and SHPs which are model parameters included in the equations are parameterized. The relative hydraulic conductivity (RHC) which is a major unknown parameter to be identified in this study is described by a free-form parameterized function which is a sequence of piecewise cubic spline functions over the whole effective saturation domain. For the representation of the soil water retention curve (SWRC), van Genuchten model (VG model) is employed due to being time-proven. Secondly, the inverse problem (IP) is defined as minimizing errors between the observed and computed values of the pressure head. The solution procedure is then described based on a simulation-optimization algorithm with the aid of the Levenberg-Marqurdt method to determine the function shape of RHC. Finally, the validity of the inverse modeling developed is examined through in-situ experiments in terms of reproducibility for observed water movement. 2. Governing Equations 2.1 Water Movement Model In order to obtain the mass-conservative numerical solutions, the mixed form of RE is employed for the water movement. Additionally using the Boussinesq assumption to consider the dependency of density and viscosity of water on soil temperature, the equation in onedimensional vertical flow where the liquid phase is considerable magnitude, i.e. neglecting the vapor fluxes, is described as follows (Huyakorn and Pinder, 1983); ∂S ψ ⎛ ⎛ ρ ρ ⎞⎞ w ∂ ∂ ∂h T − ρ φ + WSwSs = − − K ⎜ + ⎜ ⎟ (1) ∂t ∂t ∂z ∂ ρ ⎟ ⎝ ⎝ z ρ ⎠⎠ with ⎧⎪ 1 ( ψ ≥ 0 ), p W = ⎨ Ss = ρρg( βs + φβw) , K = Kρ ( Se) KT ( Ts) Ks, h = + z = ψ + z (2) ⎪⎩ 0 ( ψ < 0 ), ρρg where φ is the porosity, S w the saturation, S s the specific storage, ψ the pressure head, K the unsaturated hydraulic conductivity, h the hydraulic head, t the time, z the height defined as positive upward, ρ T the water density at the soil temperature T s , ρ r the reference water density at the reference soil temperature T r , g the gravitational acceleration, β s and β w the compressibility coefficients of soil and water, respectively, K r the relative hydraulic conductivity, K T the correction-factor function of soil temperature, K s the saturated hydraulic conductivity, S e the effective saturation and p the water pressure. 2.2 Thermal Transport Model The heat flux due to the water movement in soil is smaller than the heat conduction by the solid soil and thus can be neglected. Accordingly, the heat conduction equation is employed for the thermal transport, and described as follows; ∂ ( CT h s) ∂ ⎛ ∂Ts ⎞ = − ⎜ −λ ∂ ∂ ∂ ⎟ (3) t z⎝ z ⎠ with 0.5 ( 1 φ) θ , λ θ θ C = − c + c = r + r + r (4) h s w 1 2 3 where C h is the volumetric heat capacity of soil, θ the volumetric water content, c s and c w the volumetric heat capacity of soil particles and that of water, respectively, and λ the thermal conductivity of soil expressed by a simple empirical equation with the regression parameters r 1 , r 2 and r 3 (Chung and Horton, 1987).
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RE because it has the advantages over the other forms in applicability. However, the method<br />
presented by Izumi et al. (2011) does not consider the effect <strong>of</strong> soil temperature on water<br />
movement in soil.<br />
The purpose <strong>of</strong> this paper, thus, is to develop an inverse modeling for the mixed form RE in<br />
non-isothermal soil. Firstly, the governing equations (forward problem, FP) are described,<br />
and SHPs which are model parameters included in the equations are parameterized. The<br />
relative hydraulic conductivity (RHC) which is a major unknown parameter to be identified in<br />
this study is described by a free-form parameterized function which is a sequence <strong>of</strong><br />
piecewise cubic spline functions over the whole effective saturation domain. For the<br />
representation <strong>of</strong> the soil water retention curve (SWRC), van Genuchten model (VG model)<br />
is employed due to being time-proven. Secondly, the inverse problem (IP) is defined as<br />
minimizing errors between the observed and computed values <strong>of</strong> the pressure head. The<br />
solution procedure is then described based on a simulation-optimization algorithm with the<br />
aid <strong>of</strong> the Levenberg-Marqurdt method to determine the function shape <strong>of</strong> RHC. Finally, the<br />
validity <strong>of</strong> the inverse modeling developed is examined through in-situ experiments in terms<br />
<strong>of</strong> reproducibility for observed water movement.<br />
2. Governing Equations<br />
2.1 Water Movement Model<br />
In order to obtain the mass-conservative numerical solutions, the mixed form <strong>of</strong> RE is<br />
employed for the water movement. Additionally using the Boussinesq assumption to consider<br />
the dependency <strong>of</strong> density and viscosity <strong>of</strong> water on soil temperature, the equation in onedimensional<br />
vertical flow where the liquid phase is considerable magnitude, i.e. neglecting<br />
the vapor fluxes, is described as follows (Huyakorn and Pinder, 1983);<br />
∂S<br />
ψ ⎛ ⎛ ρ ρ ⎞⎞<br />
w<br />
∂ ∂ ∂h<br />
T<br />
−<br />
ρ<br />
φ + WSwSs<br />
= − − K ⎜ +<br />
⎜<br />
⎟<br />
(1)<br />
∂t ∂t ∂z ∂ ρ ⎟<br />
⎝ ⎝ z<br />
ρ ⎠⎠<br />
with<br />
⎧⎪ 1 ( ψ ≥ 0 ),<br />
p<br />
W = ⎨<br />
Ss = ρρg( βs + φβw) , K = Kρ ( Se) KT ( Ts)<br />
Ks,<br />
h = + z = ψ + z (2)<br />
⎪⎩ 0 ( ψ < 0 ),<br />
ρρg<br />
where φ is the porosity, S w the saturation, S s the specific storage, ψ the pressure head, K the<br />
unsaturated hydraulic conductivity, h the hydraulic head, t the time, z the height defined as<br />
positive upward, ρ T the water density at the soil temperature T s , ρ r the reference water density<br />
at the reference soil temperature T r , g the gravitational acceleration, β s and β w the<br />
compressibility coefficients <strong>of</strong> soil and water, respectively, K r the relative hydraulic<br />
conductivity, K T the correction-factor function <strong>of</strong> soil temperature, K s the saturated hydraulic<br />
conductivity, S e the effective saturation and p the water pressure.<br />
2.2 Thermal Transport Model<br />
The heat flux due to the water movement in soil is smaller than the heat conduction by the<br />
solid soil and thus can be neglected. Accordingly, the heat conduction equation is employed<br />
for the thermal transport, and described as follows;<br />
∂ ( CT<br />
h s)<br />
∂ ⎛ ∂Ts<br />
⎞<br />
= − ⎜ −λ<br />
∂ ∂ ∂ ⎟<br />
(3)<br />
t z⎝<br />
z ⎠<br />
with<br />
0.5<br />
( 1 φ) θ , λ θ θ<br />
C = − c + c = r + r + r<br />
(4)<br />
h s w 1 2 3<br />
where C h is the volumetric heat capacity <strong>of</strong> soil, θ the volumetric water content, c s and c w the<br />
volumetric heat capacity <strong>of</strong> soil particles and that <strong>of</strong> water, respectively, and λ the thermal<br />
conductivity <strong>of</strong> soil expressed by a simple empirical equation with the regression parameters<br />
r 1 , r 2 and r 3 (Chung and Horton, 1987).