Application of a Lagrangian particle model to the source apportionment for primary macropollutants in Taranto area (South Italy)
by Roberto Giua; Angela Morabito; Annalisa Tanzarella; Stefano Spagnolo; Tiziano Pastore; Monica Bevere; Ettore Valentini; Vito La Ghezza; Gianluigi De Gennaro; Giuseppe Brusasca; Gianni Tinarelli; Giorgio Assennato
International Journal of Environment and Pollution (IJEP), Vol. 55, No. 1/2/3/4, 2014

Abstract: A modelling system has been applied to estimate the annual contribution to the total concentrations of different pollutant sources in Taranto, one of the most industrialized areas in Italy. Industrial sources, traffic, domestic heating and harbour emissions have been taken into account. Modelling system includes 3-dimensional meteorological models SWIFT-SURFPRO with the Lagrangian particle dispersion model SPRAY. The air emissions inventory was partially established using measured data, local activity indicators and emission factors. The meteorology was reconstructed by the SWIFT model from the products supplied, for the year 2007, by the national MINNI project. The annual simulation led to the identification of the main emitting sources for primary pollutants such as NOx, SO2, PM10, PM2.5 and C6H6 at receptor sites. In addition, a more refined source apportionment was achieved for industrial primary PM10, providing a useful preliminary identification of the main industrial sources emitting dangerous micropollutants, such as POPs and heavy metals.

Online publication date: Wed, 17-Dec-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Environment and Pollution (IJEP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email