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Sensitivity Analysis and Validation for Numerical Simulation of Water Infiltration into Unsaturated Soil
Eng Giap Goh1, Kosuke Noborio2
1Graduate School of Agriculture, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki 214-8571, Japan; School of Ocean Engineering, Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia.
International Scholarly Research Notices
|June 28, 2016
Summary
A FORTRAN code simulates liquid water flow in unsaturated soil using Richards
Area of Science:
- Soil Science
- Hydrology
- Computational Modeling
Background:
- Liquid water flow in unsaturated soils is crucial for understanding hydrological processes.
- Richards' equation is the governing equation for water movement in unsaturated soils.
- Accurate simulation of soil water infiltration requires sensitivity analysis of model parameters.
Purpose of the Study:
- To develop a FORTRAN code for simulating isothermal liquid water flow in unsaturated soil.
- To perform a sensitivity analysis of Richards' equation using normalized sensitivity coefficients.
- To investigate the influence of various parameters on water infiltration in Yolo light clay.
Main Methods:
- Developed a FORTRAN code to solve Richards' equation using the finite-difference method.
- Employed one-at-a-time (OAT) and elementary effects (EE) methods for sensitivity analysis.
- Calculated normalized sensitivity coefficients based on hydraulic functions for matric suction and hydraulic conductivity.
Main Results:
- The elementary effects (EE) method provided insights into parameter linearity and oscillating sign effects.
- Boundary volumetric water content and saturated volumetric water content were identified as the most sensitive parameters.
- Spatial discretization size (Δz) significantly influenced model output, despite other parameters showing high sensitivity or uncertainty.
Conclusions:
- The developed FORTRAN code effectively simulates water infiltration in unsaturated soils.
- Sensitivity analysis is vital for understanding parameter influence and model behavior.
- Parameter interactions and their combined effect on model output are critical for accurate simulations.
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