Pollution sources detection via principal component analysis and rotation

Marie Chavent 1, 2 Hervé Guegan 3, 4 Vanessa Kuentz 1, 2 Brigitte Patouille 1 Jérôme Saracco 2, 5
2 CQFD - Quality control and dynamic reliability
INRIA Futurs, Université Bordeaux Segalen - Bordeaux 2, Université Sciences et Technologies - Bordeaux 1, CNRS - Centre National de la Recherche Scientifique : UMR5251
Abstract : Air pollution is a widely preoccupation which needs the development of control strategies. To reach this goal, pollution sources have to be precisely identified. Principal component analysis is a possible response to this problem. Indeed this factorial method enables to detect sources, that is to have a qualitative description of them. In this work, techniques of rotation are a useful help for the association of variables with factors. We highlight the fact that the rotation must be applied to the standardized principal components, so as to keep good interpretation properties. This methodology has then been applied to a problem of air pollution on a french site.
Type de document :
Communication dans un congrès
ASMDA 2007, May 2007, Chania, Crète, Greece. 2007


https://hal.archives-ouvertes.fr/hal-00278289
Contributeur : Marie Chavent <>
Soumis le : samedi 10 mai 2008 - 17:21:35
Dernière modification le : jeudi 10 septembre 2015 - 01:06:21
Document(s) archivé(s) le : vendredi 28 septembre 2012 - 14:31:04

Fichier

article-asmda2007-chav.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00278289, version 1

Collections

Citation

Marie Chavent, Hervé Guegan, Vanessa Kuentz, Brigitte Patouille, Jérôme Saracco. Pollution sources detection via principal component analysis and rotation. ASMDA 2007, May 2007, Chania, Crète, Greece. 2007. <hal-00278289>

Exporter

Partager

Métriques

Consultations de
la notice

237

Téléchargements du document

241