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Numerical solution of the Burgers equation associated with the phenomena of longitudinal dispersion depending on time

In this study, the Burgers equation governing the time-dependent dispersion phenomena is solved numerically using the finite difference scheme and the Runge-Kutta 4 algorithm with appropriate initial and boundary conditions. Two time-dependent dispersion functions have been implemented to analyze th...

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Detalles Bibliográficos
Autores principales: Yonti Madie, Calvia, Kamga Togue, Fulbert, Woafo, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253921/
https://www.ncbi.nlm.nih.gov/pubmed/35800253
http://dx.doi.org/10.1016/j.heliyon.2022.e09776
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author Yonti Madie, Calvia
Kamga Togue, Fulbert
Woafo, Paul
author_facet Yonti Madie, Calvia
Kamga Togue, Fulbert
Woafo, Paul
author_sort Yonti Madie, Calvia
collection PubMed
description In this study, the Burgers equation governing the time-dependent dispersion phenomena is solved numerically using the finite difference scheme and the Runge-Kutta 4 algorithm with appropriate initial and boundary conditions. Two time-dependent dispersion functions have been implemented to analyze the spatio-temporal variation in the domain. For the values of K(L) and K(A) < 1.2 years, a significant retention of the mass of solute is observed when the dispersion function is asymptotic. The results obtained show that the concentration profiles are similar when the values of K(L) and K(A) ≥ 1.2 years. These results demonstrate the importance of the nature of the dispersion function on the retention capacity of solutes in the porous medium.
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spelling pubmed-92539212022-07-06 Numerical solution of the Burgers equation associated with the phenomena of longitudinal dispersion depending on time Yonti Madie, Calvia Kamga Togue, Fulbert Woafo, Paul Heliyon Research Article In this study, the Burgers equation governing the time-dependent dispersion phenomena is solved numerically using the finite difference scheme and the Runge-Kutta 4 algorithm with appropriate initial and boundary conditions. Two time-dependent dispersion functions have been implemented to analyze the spatio-temporal variation in the domain. For the values of K(L) and K(A) < 1.2 years, a significant retention of the mass of solute is observed when the dispersion function is asymptotic. The results obtained show that the concentration profiles are similar when the values of K(L) and K(A) ≥ 1.2 years. These results demonstrate the importance of the nature of the dispersion function on the retention capacity of solutes in the porous medium. Elsevier 2022-06-22 /pmc/articles/PMC9253921/ /pubmed/35800253 http://dx.doi.org/10.1016/j.heliyon.2022.e09776 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Yonti Madie, Calvia
Kamga Togue, Fulbert
Woafo, Paul
Numerical solution of the Burgers equation associated with the phenomena of longitudinal dispersion depending on time
title Numerical solution of the Burgers equation associated with the phenomena of longitudinal dispersion depending on time
title_full Numerical solution of the Burgers equation associated with the phenomena of longitudinal dispersion depending on time
title_fullStr Numerical solution of the Burgers equation associated with the phenomena of longitudinal dispersion depending on time
title_full_unstemmed Numerical solution of the Burgers equation associated with the phenomena of longitudinal dispersion depending on time
title_short Numerical solution of the Burgers equation associated with the phenomena of longitudinal dispersion depending on time
title_sort numerical solution of the burgers equation associated with the phenomena of longitudinal dispersion depending on time
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253921/
https://www.ncbi.nlm.nih.gov/pubmed/35800253
http://dx.doi.org/10.1016/j.heliyon.2022.e09776
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