PCA and PMF based methodology for air pollution sources identification and apportionment

Abstract : Air pollution is a wide concern for human health and requires the development of air quality control strategies. In order to achieve this goal pollution sources have to be accurately identified and quantified. The case study presented in this paper is part of a scientific project initiated by the French Ministry of Ecology and Sustainable Development. For the following study measurements of chemical composition data for particles have been conducted on a french urban site. The first step of the study consists in the identification of the sources profiles which is achieved through Principal Component Analysis completed by a rotation technique. Then the apportionment of the sources is evaluated with a receptor modeling using Positive Matrix Factorization as estimation method. Finally the joint use of these two statistical methods enables to characterize and apportion five different sources of fine particulate emission.
Type de document :
Article dans une revue
Environmetrics, Wiley, 2009, 20, pp.928-942


https://hal.archives-ouvertes.fr/hal-00332015
Contributeur : Marie Chavent <>
Soumis le : mercredi 19 décembre 2012 - 13:30:09
Dernière modification le : jeudi 24 septembre 2015 - 11:18:38
Document(s) archivé(s) le : mercredi 20 mars 2013 - 11:35:56

Fichier

Env-2009-preprint.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00332015, version 2

Collections

Citation

Marie Chavent, Hervé Guegan, Vanessa Kuentz, Brigitte Patouille, Jérôme Saracco. PCA and PMF based methodology for air pollution sources identification and apportionment. Environmetrics, Wiley, 2009, 20, pp.928-942. <hal-00332015v2>

Exporter

Partager

Métriques

Consultations de
la notice

305

Téléchargements du document

603