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Modelling estimation of the contribution of the road transport to the particulate matter concentration over Italy

pubblicazioni - Articolo

Modelling estimation of the contribution of the road transport to the particulate matter concentration over Italy

Guido Pirovano*, Giuseppe Maurizio Riva*, Anna Maria Toppetti*, Alessandra Balzarini** 18th international Symposium Transport and Air Pollution Dubendorf (Zurigo, Svizzera), 18-19 Maggio 2009 * ERSE SPA ** TIROCINANTE ERSE SPA A modelling study, aiming at evaluating the contribution of road transport and other important sources to particulate matter concentration over Italy, has been performed by means of the CAMx chemical and transport model. CAMx implements the PSAT algorithm, an advanced source apportionment tool, able to discriminate the contribution of different sources both to the primary and secondary fraction of particulate matter concentration. The model has been applied for the whole 2005. CAMx has been driven by the WRF meteorological model; emissions have been derived from the Italian official inventory and the EMEP database and arranged in a model ready form by means of the SMOKE processor; finally, the initial and boundary conditions have been obtained by a CHIMERE model run at European scale. The PSAT tool has been applied to evaluate the contribution to PM concentrations of road transport, split into passengers cars and other vehicles, as well as other main emission sectors, such as energy production, and domestic heating. On a national basis, vehicle emissions yield the 5%-15% of the PM2.5 annual mean concentration and this contribution is highest near densely populated and highly industrialized urban areas. It represents a remarkable result because produced by a single emission category. Light/heavy duties and motorcycles have a similar pattern to vehicle emissions, showing highest contributions near the most polluted areas the major transit routes. Moreover, they could be very relevant in areas characterized by low circulation conditions such as the Po Valley, where their contribution range between 1 and 5 g/m3, corresponding to 10%-20% of the total PM2.5 concentration. Energy production proved to be less important, while biomass burning for domestic heating can provide significant contribution in residential areas.

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