Title: Application of a Lagrangian particle model to the source apportionment for primary macropollutants in Taranto area (South Italy)

Authors: 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

Addresses: Regional Environmental Protection Agency, Corso Trieste 27, 70126 Bari, Italy ' Regional Environmental Protection Agency, Corso Trieste 27, 70126 Bari, Italy ' Regional Environmental Protection Agency, Corso Trieste 27, 70126 Bari, Italy ' Regional Environmental Protection Agency, Corso Trieste 27, 70126 Bari, Italy ' Regional Environmental Protection Agency, Corso Trieste 27, 70126 Bari, Italy ' Regional Environmental Protection Agency, Corso Trieste 27, 70126 Bari, Italy ' Regional Environmental Protection Agency, Corso Trieste 27, 70126 Bari, Italy ' Regional Environmental Protection Agency, Corso Trieste 27, 70126 Bari, Italy ' Chemistry Department, University of Bari, Via Orabona 4, 70126, Bari, Italy ' ARIANET, Via Gilino, 7, 20128, Milano, Italy ' ARIANET, Via Gilino, 7, 20128, Milano, Italy ' Regional Environmental Protection Agency, Corso Trieste 27, 70126 Bari, Italy

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.

Keywords: source apportionment; Lagrangian particle models; environmental pollution; primary macropollutants; air pollution; air quality; industrial emissions; traffic emissions; domestic heating emissions; harbour emissions; meteorological modelling; atmospheric dispersion modelling; air emissions inventory; simulation.

DOI: 10.1504/IJEP.2014.065902

International Journal of Environment and Pollution, 2014 Vol.55 No.1/2/3/4, pp.31 - 40

Published online: 17 Dec 2014 *

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