Abstract

In pollution source apportionment studies, multivariate receptor models heavily rely on statistical factor analytic techniques to estimate the source-specific contributions from a large number of observed chemical concentrations. The scope of this paper is to offer a review of some recent statistical literature in order to describe the main features and recent advances of this field, advice on the possible “statistical risks” in using standard methods and finally show how some theoretical and practical failures of the commonly used methodologies can be addressed by proper statistical modeling and estimation tools. The topics addressed include: the estimation of the number of sources, model identifiability issues, the consideration of the temporal dependence in the data and systematic effects of physical factors such as meteorological conditions, possible extensions to spatial data collected by multiple receptors and the assessment of source specific health effects.

Autore Pugliese

• Pollice Alessio

Tutti gli autori

• POLLICE A.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2011

ISSN

1180-4009

ISBN

Non Disponibile

Numero di citazioni Wos

5

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

7

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile