Partitioning techniques and lumping computation for reducing chemical kinetics. APLA: an Automatic Partitioning and Lumping Algorithm

Rafik Djouad 1 Bruno Sportisse 2
1 CEREVE - Centre d'Enseignement et de Recherche Eau Ville Environnement
2 AIR - Image Processing and Dynamic and Satellite Data
Inria Paris-Rocquencourt
Abstract : The time integration of Air Pollution Models is a difficult task due to numerical stiffness, nonlinearity and coupling between equations and implicit schemes are usually advocated. Based on the slow/fast behaviour of the chemical dynamics, reducing procedures are alternative efficient techniques leading to nonstiff systems. Reduced models are defined by a set of lumped species and algebraic constraints and their validity is related with the correct partitioning of dynamics (species and reactions). By using some axiomatic hypothesis and algebraic properties we propose in this paper an efficient partitioning technique and an algorithm in order to compute the lumping of species in an automatic way. This is applied to four atmospheric chemical mechanisms
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Article dans une revue
Applied Numerical Mathematics, Elsevier, 2002, 43 (4), pp.383-398. 〈10.1016/S0168-9274(02)00111-3〉
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https://hal.inria.fr/inria-00532765
Contributeur : Brigitte Briot <>
Soumis le : jeudi 4 novembre 2010 - 13:44:41
Dernière modification le : mardi 17 avril 2018 - 11:28:18

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Rafik Djouad, Bruno Sportisse. Partitioning techniques and lumping computation for reducing chemical kinetics. APLA: an Automatic Partitioning and Lumping Algorithm. Applied Numerical Mathematics, Elsevier, 2002, 43 (4), pp.383-398. 〈10.1016/S0168-9274(02)00111-3〉. 〈inria-00532765〉

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