Linearization in ASM1 model for the solution of pollutants transport equations

It is proposed to reduce the complexity existing in non-linear BIOMOC and ASM1 models using Taylor’s frst-order series expansion in the terms whose reactive processes are non-linear. One of the advantages of linear models is the conservation of non-linear model variables. However, the main character...

Full description

Bibliographic Details
Main Authors: Neyva Maria Lopes Romeiro, Rigoberto Gregorio Sanabria Castro, Sandra Mara Cardoso Malta
Format: Article
Language:English
Published: Universidade Estadual de Londrina 2008-08-01
Series:Semina: Ciências Exatas e Tecnológicas
Subjects:
Online Access:http://www.uel.br/revistas/uel/index.php/semexatas/article/view/2973
_version_ 1818043480520261632
author Neyva Maria Lopes Romeiro
Rigoberto Gregorio Sanabria Castro
Sandra Mara Cardoso Malta
author_facet Neyva Maria Lopes Romeiro
Rigoberto Gregorio Sanabria Castro
Sandra Mara Cardoso Malta
author_sort Neyva Maria Lopes Romeiro
collection DOAJ
description It is proposed to reduce the complexity existing in non-linear BIOMOC and ASM1 models using Taylor’s frst-order series expansion in the terms whose reactive processes are non-linear. One of the advantages of linear models is the conservation of non-linear model variables. However, the main characteristic of this methodology refers to the computational time obtained in the numeral simulations, which is much shorter than that concerning the non-linear model results. Numerical results are presented, showing the effciency, precision and solidity of the proposed technique in well-known cases in the literature, using the semi-discrete method of finite elements.
first_indexed 2024-12-10T09:02:53Z
format Article
id doaj.art-3b8cb0f570264bfb9ed1e4a4d28cb39f
institution Directory Open Access Journal
issn 1676-5451
1679-0375
language English
last_indexed 2024-12-10T09:02:53Z
publishDate 2008-08-01
publisher Universidade Estadual de Londrina
record_format Article
series Semina: Ciências Exatas e Tecnológicas
spelling doaj.art-3b8cb0f570264bfb9ed1e4a4d28cb39f2022-12-22T01:55:13ZengUniversidade Estadual de LondrinaSemina: Ciências Exatas e Tecnológicas1676-54511679-03752008-08-012914556Linearization in ASM1 model for the solution of pollutants transport equationsNeyva Maria Lopes RomeiroRigoberto Gregorio Sanabria CastroSandra Mara Cardoso MaltaIt is proposed to reduce the complexity existing in non-linear BIOMOC and ASM1 models using Taylor’s frst-order series expansion in the terms whose reactive processes are non-linear. One of the advantages of linear models is the conservation of non-linear model variables. However, the main characteristic of this methodology refers to the computational time obtained in the numeral simulations, which is much shorter than that concerning the non-linear model results. Numerical results are presented, showing the effciency, precision and solidity of the proposed technique in well-known cases in the literature, using the semi-discrete method of finite elements.http://www.uel.br/revistas/uel/index.php/semexatas/article/view/2973Non linear modelFinite element methodASM1
spellingShingle Neyva Maria Lopes Romeiro
Rigoberto Gregorio Sanabria Castro
Sandra Mara Cardoso Malta
Linearization in ASM1 model for the solution of pollutants transport equations
Semina: Ciências Exatas e Tecnológicas
Non linear model
Finite element method
ASM1
title Linearization in ASM1 model for the solution of pollutants transport equations
title_full Linearization in ASM1 model for the solution of pollutants transport equations
title_fullStr Linearization in ASM1 model for the solution of pollutants transport equations
title_full_unstemmed Linearization in ASM1 model for the solution of pollutants transport equations
title_short Linearization in ASM1 model for the solution of pollutants transport equations
title_sort linearization in asm1 model for the solution of pollutants transport equations
topic Non linear model
Finite element method
ASM1
url http://www.uel.br/revistas/uel/index.php/semexatas/article/view/2973
work_keys_str_mv AT neyvamarialopesromeiro linearizationinasm1modelforthesolutionofpollutantstransportequations
AT rigobertogregoriosanabriacastro linearizationinasm1modelforthesolutionofpollutantstransportequations
AT sandramaracardosomalta linearizationinasm1modelforthesolutionofpollutantstransportequations