Data Reconstruction for a Disturbed Soil-Column Experiment Using an Optimal Perturbation Regularization Algorithm
Joint Authors
Li, Gongsheng
Yao, De
Wang, Yongzai
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-26
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper deals with data reconstruction problem for a real disturbed soil-column experiment using an optimal perturbation regularization algorithm.
A purpose of doing the experiment is to simulate and study transport behaviors of Ca2+, Na+, Mg2+, K+, SO4 2−, NO3 −, HCO3 −, and Cl− when they vertically penetrating through sandy soils.
By data analysis to breakthrough data of the eight kinds of solute ions, two kinds of models describing their transport behaviors in the column are given.
One is the advection-dispersion equation with time-dependent reaction terms suitable for three ions of HCO3 −, NO3 −, and K+, the other is the ordinary advection-dispersion equation suitable for the rest ions.
Furthermore, all the unknowns in each model are determined by utilizing the optimal perturbation regularization algorithm, respectively, and then the breakthrough data for each considered ion are reconstructed successfully.
The inversion results show that the advection-dispersion model with suitable time-dependent reaction terms can be utilized to describe the experimental process and reconstruct the experimental data.
American Psychological Association (APA)
Li, Gongsheng& Yao, De& Wang, Yongzai. 2012. Data Reconstruction for a Disturbed Soil-Column Experiment Using an Optimal Perturbation Regularization Algorithm. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-1028985
Modern Language Association (MLA)
Wang, Yongzai…[et al.]. Data Reconstruction for a Disturbed Soil-Column Experiment Using an Optimal Perturbation Regularization Algorithm. Journal of Applied Mathematics No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-1028985
American Medical Association (AMA)
Li, Gongsheng& Yao, De& Wang, Yongzai. Data Reconstruction for a Disturbed Soil-Column Experiment Using an Optimal Perturbation Regularization Algorithm. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-1028985
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1028985