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PCA and PMF based methodology for air pollution sources identification and apportionment
Chavent M., Guegan H., Kuentz V., Patouille B., Saracco J.
Environmetrics (2009) - - http://hal.archives-ouvertes.fr/hal-00332015
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Sciences de l'environnement/Environnement et Société
PCA and PMF based methodology for air pollution sources identification and apportionment
Marie Chavent ()1, 2, Hervé Guegan3, Vanessa Kuentz ()1, 2, Brigitte Patouille1, Jérôme Saracco2, 4
1 :  IMB - Institut de Mathématiques de Bordeaux
CNRS : UMR5251 – Université Sciences et Technologies - Bordeaux I – Université Victor Segalen - Bordeaux II
351 cours de la Libération 33405 TALENCE CEDEX
2 :  INRIA Bordeaux - Sud-Ouest - CQFD
INRIA – CNRS : UMR5251 – Université de Bordeaux
3 :  CENBG - Centre d'Etudes Nucléaires de Bordeaux Gradignan
CNRS : UMR5797 – IN2P3 – Université Sciences et Technologies - Bordeaux I
Chemin du Solarium - BP 120 - 33175 Gradignan Cedex
4 :  GREThA - Groupe de Recherche en Economie Théorique et Appliquée
CNRS : UMR5113 – Université Montesquieu - Bordeaux IV
Avenue Léon Duguit 33608 PESSAC
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.

Publisher Wiley-Blackwell
ISSN 1180-4009 (eISSN : 1099-095X)
Articles dans des revues avec comité de lecture

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Env-07-0075R.pdf(391.3 KB)