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A kinetic flux vector splitting scheme for shallow water equations incorporating variable bottom topography and horizontal temperature gradients
This paper is concerned with the derivation of a well-balanced kinetic scheme to approximate a shallow flow model incorporating non-flat bottom topography and horizontal temperature gradients. The considered model equations, also called as Ripa system, are the non-homogeneous shallow water equations...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5979031/ https://www.ncbi.nlm.nih.gov/pubmed/29851978 http://dx.doi.org/10.1371/journal.pone.0197500 |
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author | Saleem, M. Rehan Ashraf, Waqas Zia, Saqib Ali, Ishtiaq Qamar, Shamsul |
author_facet | Saleem, M. Rehan Ashraf, Waqas Zia, Saqib Ali, Ishtiaq Qamar, Shamsul |
author_sort | Saleem, M. Rehan |
collection | PubMed |
description | This paper is concerned with the derivation of a well-balanced kinetic scheme to approximate a shallow flow model incorporating non-flat bottom topography and horizontal temperature gradients. The considered model equations, also called as Ripa system, are the non-homogeneous shallow water equations considering temperature gradients and non-uniform bottom topography. Due to the presence of temperature gradient terms, the steady state at rest is of primary interest from the physical point of view. However, capturing of this steady state is a challenging task for the applied numerical methods. The proposed well-balanced kinetic flux vector splitting (KFVS) scheme is non-oscillatory and second order accurate. The second order accuracy of the scheme is obtained by considering a MUSCL-type initial reconstruction and Runge-Kutta time stepping method. The scheme is applied to solve the model equations in one and two space dimensions. Several numerical case studies are carried out to validate the proposed numerical algorithm. The numerical results obtained are compared with those of staggered central NT scheme. The results obtained are also in good agreement with the recently published results in the literature, verifying the potential, efficiency, accuracy and robustness of the suggested numerical scheme. |
format | Online Article Text |
id | pubmed-5979031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-59790312018-06-17 A kinetic flux vector splitting scheme for shallow water equations incorporating variable bottom topography and horizontal temperature gradients Saleem, M. Rehan Ashraf, Waqas Zia, Saqib Ali, Ishtiaq Qamar, Shamsul PLoS One Research Article This paper is concerned with the derivation of a well-balanced kinetic scheme to approximate a shallow flow model incorporating non-flat bottom topography and horizontal temperature gradients. The considered model equations, also called as Ripa system, are the non-homogeneous shallow water equations considering temperature gradients and non-uniform bottom topography. Due to the presence of temperature gradient terms, the steady state at rest is of primary interest from the physical point of view. However, capturing of this steady state is a challenging task for the applied numerical methods. The proposed well-balanced kinetic flux vector splitting (KFVS) scheme is non-oscillatory and second order accurate. The second order accuracy of the scheme is obtained by considering a MUSCL-type initial reconstruction and Runge-Kutta time stepping method. The scheme is applied to solve the model equations in one and two space dimensions. Several numerical case studies are carried out to validate the proposed numerical algorithm. The numerical results obtained are compared with those of staggered central NT scheme. The results obtained are also in good agreement with the recently published results in the literature, verifying the potential, efficiency, accuracy and robustness of the suggested numerical scheme. Public Library of Science 2018-05-31 /pmc/articles/PMC5979031/ /pubmed/29851978 http://dx.doi.org/10.1371/journal.pone.0197500 Text en © 2018 Saleem et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Saleem, M. Rehan Ashraf, Waqas Zia, Saqib Ali, Ishtiaq Qamar, Shamsul A kinetic flux vector splitting scheme for shallow water equations incorporating variable bottom topography and horizontal temperature gradients |
title | A kinetic flux vector splitting scheme for shallow water equations incorporating variable bottom topography and horizontal temperature gradients |
title_full | A kinetic flux vector splitting scheme for shallow water equations incorporating variable bottom topography and horizontal temperature gradients |
title_fullStr | A kinetic flux vector splitting scheme for shallow water equations incorporating variable bottom topography and horizontal temperature gradients |
title_full_unstemmed | A kinetic flux vector splitting scheme for shallow water equations incorporating variable bottom topography and horizontal temperature gradients |
title_short | A kinetic flux vector splitting scheme for shallow water equations incorporating variable bottom topography and horizontal temperature gradients |
title_sort | kinetic flux vector splitting scheme for shallow water equations incorporating variable bottom topography and horizontal temperature gradients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5979031/ https://www.ncbi.nlm.nih.gov/pubmed/29851978 http://dx.doi.org/10.1371/journal.pone.0197500 |
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