Model reduction via principal component truncation for the optimal design of atmospheric monitoring networks

Abstract : IRSN is planning to renovate the French nuclear monitoring network. This renovated network should be able to forecast accurately the accidental plume by using only measures of this network. In this presentation, a numerically efficient methodology for the optimal design of monitoring networks is proposed. In this method, a large database of dispersion accidents over one year of meteorology and from 20 French nuclear sites is built and a cost function measures the ability of a potential network to provide measurements in order to reconstruct any accidental plume from the database. We introduce methods based on principal component analysis to optimally reduce this database and consequently decrease significantly CPU time. Then, the reduced optimisation method is applied to suggest an optimal strategy for the sequential deployment of the network. Finally, we propose the set-up of networks which take into account foreign potential radiological sources in Europe and French density population.
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Communication dans un congrès
Proceedings of International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regularity Purposes, Jun 2010, Paris, France. pp.906-910, 2010
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https://hal.inria.fr/inria-00561635
Contributeur : Nathalie Gaudechoux <>
Soumis le : mardi 1 février 2011 - 15:47:13
Dernière modification le : mardi 26 septembre 2017 - 10:22:03
Document(s) archivé(s) le : lundi 2 mai 2011 - 04:03:49

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  • HAL Id : inria-00561635, version 1

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Olivier Saunier, Marc Bocquet, Anne Mathieu, Rachid Abida. Model reduction via principal component truncation for the optimal design of atmospheric monitoring networks. Proceedings of International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regularity Purposes, Jun 2010, Paris, France. pp.906-910, 2010. 〈inria-00561635〉

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