Title: Comparison of Finite Difference Method, Philips Method and GreenAmpt Model in Infiltration Simulatio
1Agron 677 Term Project
Comparison of Finite Difference Method, Philips
Method and Green-Ampt Model in Infiltration
Simulation Zhiming Qi Department of Ag
Engineering
2Outline
- Introduction
- Materials and Methods
- Results and Discussion
- Conclusion
- Suggestion
3Introduction
- Infiltration is a key component to hydrological
process. - Mathematical Methods have been developed for
computing and simulating infiltration - Green-Ampt Model (1911)
- Philips method for Richards equation
(1957) - Finite difference method for Richards
equation -
- Boundary Conditions
- First class boundary constant WC
upper boundary WC c - Second class boundary constant
water influx q c - 2nd boundary in most
natural infiltration process - Third class boundary constant
change of water influx dq/dt c - Computer Models have been developed to simulate
the infiltration procedure. - DRAINMON (Green-Ampt)
- MIKE-SHE and HYDRUS (Richards,
Finite difference method)
4Introduction
- Mathematical Methods for infiltration Modeling
- 1. Green-Ampt Model (1911)
-
Green-Ampt model calculates cumulative
infiltration by assuming water flow into a
vertical soil profile like a piston flow (first
boundary condition)
by Chow et al. (1988)
Parameters required
K
5Introduction
- Mathematical Methods for infiltration Modeling
- 2. Finite difference method for Richards
equation - Explicit scheme
- Implicit scheme
- Crank-Nicolson scheme
- (any boundary conditions)
-
http//hydram.epfl.chf
Parameters required
6Introduction
- Mathematical Methods for infiltration Modeling
- Philips method for Richards equation
(1957) - (only for first boundary
condition)
Parameters required
.
7Materials and Methods
from Haverkamp et al. (1977).
8Materials and Methods
- Parameters for Green-Ampt Model
K
Parameters required
Initial estimation
0.287-0.10 0.187 cm3/cm3
9Materials and Methods
- Mathematical Method for Green-Ampt Model
Newtons Iteration for the equation after ponding
http//www.krellinst.org/
10Materials and Methods
- Parameters for Implicit Finite Difference
(Richards)
Parameters required
are known
- Parameters for Philip Method (Richards)
Parameters required
11Materials and Methods
Cumulative Infiltration (Mass Balance)
Percentage Error
Model Efficiency
Program running time
Wetting Front
Wetting front plotting
12Results and Discussion
PE 0.964 Running Time 8 min
Figure 1. Wetting front by finite difference
method for Richards equation.
13Results and Discussion
0.287
PE 160 Running Time lt 2 sec.
Figure 2. Wetting front of Philips method using
different WC for the upper boundary condition
14Results and Discussion
0.287
PE 160 Running Time lt 2 sec.
Figure 2. Wetting front of Philips method using
different WC for the upper boundary condition
15Results and Discussion
0.287
0.265
PE 14.5 Running Time lt 2 sec.
PE 160 Running Time lt 2 sec.
Figure 2. Wetting front of Philips method using
different WC for the upper boundary condition
16Results and Discussion
0.287
0.265
PE 14.5 Running Time lt 2 sec.
PE 160 Running Time lt 2 sec.
Figure 2. Wetting front of Philips method using
different WC for the upper boundary condition
17Results and Discussion
0.287
0.265
0.260
PE 14.5 Running Time lt 2 sec.
PE -0.57 Running Time lt 2 sec.
PE 160 Running Time lt 2 sec.
Figure 2. Wetting front of Philips method using
different WC for the upper boundary condition
18Results and Discussion
Figure 3. Parameters of Philip method
19Results and Discussion
0.287
0.265
PE 0.20 Running Time lt 2 sec.
PE 0.19 Running Time lt 2 sec.
Figure 4. Wetting front from Green-Ampt model
20Results and Discussion
0.1 Hour
Figure 6. Wetting fronts from finite difference,
Philip methods and Green-Ampt model
21Results and Discussion
0.4 Hour
0.1 Hour
Figure 6. Wetting fronts from finite difference,
Philip methods and Green-Ampt model
22Results and Discussion
0.7 Hour
0.4 Hour
0.1 Hour
Figure 6. Wetting fronts from finite difference,
Philip methods and Green-Ampt model
23Results and Discussion
Table 1. Models strength and drawback
for infiltration
simulation under the 2nd class boundary condition
24Conclusion
- All the models could show high accuracies in
simulating cumulative infiltration. - Finite difference method
- best wetting front prediction
- treat the second class boundary best among
the 3 models - but sometimes numerically unstable
- Green-Ampt model
- required least parameters and the simplest
programming - but the wetting front is not precise
- Philips method
- solve Richards equation much quicker than
finite difference method - high numerical stability
- but care should be taken under 2nd boundary
condition - programming is much complicated
25Suggestion
- Finite difference method is the best approach for
cumulative infiltration and wetting front
prediction - Philips method is a good alternative for finite
difference method if there is a problem in
numerical stability for finite difference method
or a good computer is not accessible. - Green-Ampt model is a simple and good method if
only the cumulative infiltration is concerned.
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