In this paper, we present a multivariate receptor model for identifying the spatial location of major PM10 pollution sources. We build on a mixed multiplicative log-normal factor model adjusting the source contributions for meteorological covariates and for temporal correlation and considering source profiles as compositional Gaussian random fields, to account for the variability induced by the spatial distribution of the monitoring sites. Taking a Bayesian approach to estimation, the proposed model is implemented and used to analyze average daily PM10 concentration measurements from 13 monitoring sites in Taranto, Italy, for the period April-December 2005. Three major sources of pollution are identified and characterized in terms of their spatial and temporal behavior and in relation to meteorologic data. http://www.graspa.org/

Major PM10 source location by a spatial multivariate receptor model / Pollice, A; JONA LASINIO, Giovanna. - 37:(2010).

Major PM10 source location by a spatial multivariate receptor model

JONA LASINIO, Giovanna
2010

Abstract

In this paper, we present a multivariate receptor model for identifying the spatial location of major PM10 pollution sources. We build on a mixed multiplicative log-normal factor model adjusting the source contributions for meteorological covariates and for temporal correlation and considering source profiles as compositional Gaussian random fields, to account for the variability induced by the spatial distribution of the monitoring sites. Taking a Bayesian approach to estimation, the proposed model is implemented and used to analyze average daily PM10 concentration measurements from 13 monitoring sites in Taranto, Italy, for the period April-December 2005. Three major sources of pollution are identified and characterized in terms of their spatial and temporal behavior and in relation to meteorologic data. http://www.graspa.org/
2010
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/66434
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact