CHAVENT, Marie; GUÉGAN, Hervé; KUENTZ, Vanessa; PATOUILLE, Brigitte; SARACCO, Jérôme

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Licencia de uso del documento

CHAVENT, Marie
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]

GUÉGAN, Hervé
Centre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]

KUENTZ, Vanessa
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]

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Article de revue

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Case Studies in Business, Industry and Government Statistics. 2007, vol. 1, n° 2, p. 119-129

Société Française de Statistique

Resumen en inglés

The development of air quality control strategies is a wide preoccupation for human health. In order to achieve this purpose, air pollution sources have to be accurately identified and quantified. This case study is part of a scientific project initiated by the French ministry of Ecology and Sustainable Development. Measurements of chemical composition data for particles have been realized on a French urban site. The work presented in this paper splits into two main steps. In the first one, the identification of the sources profiles has been reached thanks to Principal Component Analysis (PCA), followed by a rotation technique. Then, in the second step, a receptor modelling approach (using Positive Matrix Factorization as estimation method) allows to evaluate the apportionment of the sources. The results from these two statistical methods have enabled to characterize and apportion five sources of fine particulate emission.< Leer menos

Palabras clave en italiano

Pollution data

Principal Component Analysis (PCA)

Positive Matrix Factorization (PMF)

rotation

Orígen

Importado de Hal

Centros de investigación

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251