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Air Pollution Modeling and its Application XXIII pp 79–84Cite as

The Use of a Non Negative Matrix Factorization Method Combined to PM2.5 Chemical Data for a Source Apportionment Study in Different Environments

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Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

This study revolves around the use of a Non Negative Matrix Factorization method under constraints for the identification sources profiles as well as their respective contributions in three sites in northern France. Using PM2.5 chemical analysis data, the model identified eight background and four local industrial sources profiles. In addition, the contributions of these profiles showed that secondary aerosols and combustion sources are the major constituents of the analyzed PM2.5, whereas industrial contributions were found majorly responsible for the elemental enrichments.

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Author information

Authors and Affiliations

  1. Université Lille Nord de France, F-59000, Lille, France

    Adib Kfoury, Frédéric Ledoux, Abdelhakim Limem, Gilles Delmaire, Gilles Roussel & Dominique Courcot

  2. Unité de Chimie Environnementale et Interactions sur le Vivant, Université du Littoral Côte d’Opale, UCEIV EA4492, F-59140, Dunkerque, France

    Adib Kfoury, Frédéric Ledoux & Dominique Courcot

  3. Laboratoire d’Informatique, Signal et Image de la Côte d’Opale, Université du Littoral Côte d’Opale, LISIC EA4491, F-62228, Calais, France

    Abdelhakim Limem, Gilles Delmaire & Gilles Roussel

Authors
  1. Adib Kfoury
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  2. Frédéric Ledoux
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  3. Abdelhakim Limem
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  4. Gilles Delmaire
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  5. Gilles Roussel
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  6. Dominique Courcot
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Corresponding author

Correspondence to Dominique Courcot .

Editor information

Editors and Affiliations

  1. Department of Earth, Ocean and Atmospheric Sciences, The University of British Columbia, Vancouver, British Columbia, Canada

    Douw Steyn

  2. Atmospheric Modeling and Analysis Div., United States Environmental Protection Agency, Research Triangle Park, North Carolina, USA

    Rohit Mathur

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Kfoury, A., Ledoux, F., Limem, A., Delmaire, G., Roussel, G., Courcot, D. (2014). The Use of a Non Negative Matrix Factorization Method Combined to PM2.5 Chemical Data for a Source Apportionment Study in Different Environments. In: Steyn, D., Mathur, R. (eds) Air Pollution Modeling and its Application XXIII. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-04379-1_13

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