Abstract

Chemical mass balance modeling (CMB) was applied to determine the PM10 sources and their contributions.PM10 samples were collected in Lecce (40.338N, 18.108E, a town of South Italy), during two monitoring campaigns performedon July 2005 and February 2006. Nine source profiles and average mass concentration of the following chemicalparameters: elemental carbon (EC), organic carbon (OC), chlorine (Cl-), nitrate (NO3-), sulfate (SO42-), sodium (Na+),ammonium (NH4+), potassium (K+), magnesium (Mg2+), calcium (Ca2+), aluminum (Al), silicon (Si), titanium (Ti), vanadium(V), manganese (Mn), iron (Fe), copper (Cu), lead (Pb), and zinc (Zn) were used to run the CMBmodel. The resultsobtained by application of CMB8.2 are shown. The contributions to PM10 show that dominant contributor was traffic with37% followed by petroleum industry with 19% and field burning with 16%. Minor source contributions were marine aerosol(1%), ammonium sulfate production (4%), ammonium nitrate production (11%), oil-fired power plant (0.1%), gypsumhandling (10%) and crustal (2%).Moreover, the Absolute Principal Component Scores (APCS) model was applied to the PM10 samples collected in order tofind a correlation between the two source profile sets. With APCS model five source profiles were found and a good correlation(correlation coefficient bigger than 0.8) between crustal, marine, industrial profiles of CMB model and the correspondingones of APCS model was found.

Autore Pugliese

• Ielpo Pierina

Tutti gli autori

• E. Andriani; M. Caselli; P. Ielpo;; G. de Gennaro; B.E. Daresta; P. Fermo; A. Piazzalunga; M.C. Placentino

Titolo volume/Rivista

Current analytical chemistry

Anno di pubblicazione

2010

ISSN

1573-4110

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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