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Presentation RSE 16001851

Innovative approaches for organic aerosol modelling: the Po Valley case study

Presentation

PM2016 - Convegno Nazionale sul Particolato Atmosferico 17-20 , Maggio-2016.

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C. Colombi (ARPA Lombardia), V. Gianelle (ARPA Lombardia), S. Gilardoni (ISAT Bologna), A. Meroni (Politecnico di Milano), V. Poluzzi (ARPA Emilia Romagna), G. Riva (RSE SpA) , A. Toppetti (RSE SpA), M. Paglione (ISAT Bologna), G. Pirovano (RSE SpA) , G. Lonati (Politecnico di Milano)

EMOBILITY 2016 - Electric Mobility

This study presents the results of the first application over the Po Valley of a novel modelling approach aiming at the reconstruction of the organic matter, a relevant fraction of the particulate and whose presence in atmosphere is strongly influenced by road transport emissions.

Fine particles are the main air pollution issue in several European countries, especially in the Po Valley. The organic fraction (OA) is a significant contributor to the total concentration (eg. In Milan in 2013 OA represented 30% of the annual average), but is reconstructed with great difficulty by modeling tools.

In this paper we present the results of one of the first applications of the algorithm VBS implemented in the chemistry and transport model (CTM) CAMx, which represents an important evolution with respect to the usual algorithms used in CTM (eg. SOAP). The model was applied over the entire area of the Po Valley at a resolution of 5 km for the month of February 2013, led by the meteorological fields produced by the WRF model and fed by the emissions derived from the official regional (INEMAR) and national (Ispra) inventories.

The model results were compared with on-line HR-TOF-AMS observations of PM1 as well as with off-line analysis measurements of the chemical composition of PM2.5. The results obtained show that the VBS algorithm is much more accurate in reconstructing the division between primary and secondary fraction as well as in identifying the contribution of different sources, including those due to road transport.

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