Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation

Van Genuchten equation is the soil water characteristic curve equation used commonly, and identifying (estimating) accurately its parameters plays an important role in the study on the movement of soil water. Selecting the desorption and absorption experimental data of silt loam from a northwest reg...

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Main Authors: Guangzhou Chen, Lifeng Jiao, Xinhai Li
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Chemistry
Online Access:http://dx.doi.org/10.1155/2016/9879537
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author Guangzhou Chen
Lifeng Jiao
Xinhai Li
author_facet Guangzhou Chen
Lifeng Jiao
Xinhai Li
author_sort Guangzhou Chen
collection DOAJ
description Van Genuchten equation is the soil water characteristic curve equation used commonly, and identifying (estimating) accurately its parameters plays an important role in the study on the movement of soil water. Selecting the desorption and absorption experimental data of silt loam from a northwest region in China as an instance, Monte-Carlo method was firstly applied to analyze sensitivity of the parameters and uncertainty of model so as to get the key parameters and posteriori parameter distribution to guide subsequent parameter identification. Then, the optimization model of the parameters was set up, and a new type of intelligent algorithm-difference search algorithm was employed to identify them. In order to overcome the fault that the base difference search algorithm needed more iterations and to further enhance the optimization performance, a hybrid algorithm, which coupled the difference search algorithm with simplex method, was employed to identification of the parameters. By comparison with other optimization algorithms, the results show that the difference search algorithm has the following characteristics: good optimization performance, the simple principle, easy implement, short program code, and less control parameters required to run the algorithm. In addition, the proposed hybrid algorithm outperforms the basic difference search algorithm on the comprehensive performance of algorithm.
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institution Kabale University
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publishDate 2016-01-01
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spelling doaj-art-c4ddf96057ca4134b99af806d256189f2025-02-03T05:59:46ZengWileyJournal of Chemistry2090-90632090-90712016-01-01201610.1155/2016/98795379879537Sensitivity Analysis and Identification of Parameters to the Van Genuchten EquationGuangzhou Chen0Lifeng Jiao1Xinhai Li2National Experimental Teaching Center of Water Pollution Control and Wastewater Resource, Anhui Jianzhu University, Hefei 230601, ChinaSchool of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, ChinaSchool of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, ChinaVan Genuchten equation is the soil water characteristic curve equation used commonly, and identifying (estimating) accurately its parameters plays an important role in the study on the movement of soil water. Selecting the desorption and absorption experimental data of silt loam from a northwest region in China as an instance, Monte-Carlo method was firstly applied to analyze sensitivity of the parameters and uncertainty of model so as to get the key parameters and posteriori parameter distribution to guide subsequent parameter identification. Then, the optimization model of the parameters was set up, and a new type of intelligent algorithm-difference search algorithm was employed to identify them. In order to overcome the fault that the base difference search algorithm needed more iterations and to further enhance the optimization performance, a hybrid algorithm, which coupled the difference search algorithm with simplex method, was employed to identification of the parameters. By comparison with other optimization algorithms, the results show that the difference search algorithm has the following characteristics: good optimization performance, the simple principle, easy implement, short program code, and less control parameters required to run the algorithm. In addition, the proposed hybrid algorithm outperforms the basic difference search algorithm on the comprehensive performance of algorithm.http://dx.doi.org/10.1155/2016/9879537
spellingShingle Guangzhou Chen
Lifeng Jiao
Xinhai Li
Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation
Journal of Chemistry
title Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation
title_full Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation
title_fullStr Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation
title_full_unstemmed Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation
title_short Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation
title_sort sensitivity analysis and identification of parameters to the van genuchten equation
url http://dx.doi.org/10.1155/2016/9879537
work_keys_str_mv AT guangzhouchen sensitivityanalysisandidentificationofparameterstothevangenuchtenequation
AT lifengjiao sensitivityanalysisandidentificationofparameterstothevangenuchtenequation
AT xinhaili sensitivityanalysisandidentificationofparameterstothevangenuchtenequation