Principal Component Analysis (PCA), Cluster Analysis (CA) and Factor Analysis (FA) with VARIMAX rotation were applied to the whole data set of PM10, PM2.5 and PM1 in order to determine the PM sources and their contributions. Daily aerosols samples of PM10, PM2.5 and PM1 were collected in Taranto (south Italy) from March 31st to April 26th, 2008. The statistical multivariate analysis of the data discriminated sea spray, traffic, heavy oil combustion, secondary aerosol and industrial emissions sources.
Multivariate Statistical Analysis Applied to PM10, PM2.5 and PM1 Data Collected in Taranto (South Italy)
SICILIANO, Tiziana;GENGA, Alessandra;SICILIANO, Maria
2010-01-01
Abstract
Principal Component Analysis (PCA), Cluster Analysis (CA) and Factor Analysis (FA) with VARIMAX rotation were applied to the whole data set of PM10, PM2.5 and PM1 in order to determine the PM sources and their contributions. Daily aerosols samples of PM10, PM2.5 and PM1 were collected in Taranto (south Italy) from March 31st to April 26th, 2008. The statistical multivariate analysis of the data discriminated sea spray, traffic, heavy oil combustion, secondary aerosol and industrial emissions sources.File in questo prodotto:
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