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

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorCHAVENT, Marie
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorGUEGAN, Hervé
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorKUENTZ, Vanessa
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorPATOUILLE, Brigitte
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierGroupe de Recherche en Economie Théorique et Appliquée [GREThA]
dc.contributor.authorSARACCO, Jérôme
dc.date.issued2009
dc.identifier.issn1180-4009
dc.description.abstractEnAir 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.
dc.language.isoen
dc.publisherWiley
dc.title.enPCA and PMF based methodology for air pollution sources identification and apportionment
dc.typeArticle de revue
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.subject.halSciences de l'environnement/Environnement et Société
dc.subject.halStatistiques [stat]/Méthodologie [stat.ME]
bordeaux.journalEnvironmetrics
bordeaux.page928-942
bordeaux.volume20
bordeaux.peerReviewedoui
hal.identifierhal-00332015
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00332015v1
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