Abstract

Receptor models (RMs), based on chemical composition of particulate matter (PM), such as Chemical MassBalance (CMB) and Positive Matrix Factorization (PMF), represent useful tools for determining the impact ofPM sources to air quality. This information is useful, especially in areas influenced by anthropogenic activities,to plan mitigation strategies for environmental management. Recent inter-comparison of source apportionment(SA) results showed that one of the difficulties in the comparison of estimated source contributions is the compatibilityof the sources, i.e. the chemical profiles of factor/sources used in receptor models. This suggests that SAbased on integration of several RMs could give more stable and reliable solutions with respect to a single model.The aim of this work was to perform inter-comparison of PMF (using PMF3.0 and PMF5.0 codes) and CMB outputs,focusing on both source chemical profiles and estimates of source contributions. The dataset included347 daily PM10 samples collected in three sites in central Italy located near industrial emissions. Samples werechemically analysed for the concentrations of 21 chemical species (NH4+, Ca2+, Mg2+, Na+, K+, Mg2+, SO4 2-,NO3-, Cl-, Si, Al, Ti, V, Mn, Fe, Ni, Cu, Zn, Br, EC, and OC) used as input of RMs. The approach identified 9 factor/sources: marine, traffic, resuspended dust, biomass burning, secondary sulphate, secondary nitrate, crustal,coal combustion power plant and harbour-industrial. Results showed that the application of constraints inPMF5.0 improved interpretability of profiles and comparability of estimated source contributions with stoichiometriccalculations. The inter-comparison of PMF and CMBgave significant differences for secondary nitrate, biomassburning, and harbour-industrial sources, due to non-compatibility of these source profiles that have localspecificities. When these site-dependent specificities were taken into account, optimising the input source profilesof CMB, a significant improvement in the comparison of the estimated source contributions with PMF wasobtained.

Autore Pugliese

• Donateo Antonio , Cesari Daniela , Contini Daniele

Tutti gli autori

• Cesari D.; Donateo A.; Conte M.; Contini D.

Titolo volume/Rivista

Atmospheric research

Anno di pubblicazione

2016

ISSN

0169-8095

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

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Numero di citazioni Scopus

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Settori ERC

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Codici ASJC

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