Gridded chemical transport models are often used for the assessment of air quality. For European continental scale the EMEP emissions inventory with a low 50x50 km 2 resolution is yearly available. However, current air quality models are usually applied with higher spatial resolution, in order to obtain representative results, especially in regional domains; therefore, a simple topdown approach based in the spatial interpolation of EMEP emissions is not appropriate. On the other hand, a bottom-up approach requires a huge amount of data to estimate the emissions source-by-source, which are not always justified for all the sources.The aim of this work is the development and application of a mixed top-down and bottom-up methodology for high resolution emissions inventories, based on EMEP emission data and other emissions data source (PRTR, UNFCCC and LRTAP). The emissions of the main industrial and road traffic sources (>50000 inhabitants cities, motorways) were obtained by a bottom-up approach, with industrial emissions considered from point sources. Other emissions from sparse sources are estimated following a top-down approach, based on the EMEP inventory, following a spatial segregation methodology which considers different geographical parameters, which are dependent on the source type.Data processing was performed using ArcMap GIS, following the CORINAIR structure [3]. Therefore, results are easily updatable and they can be analysed jointly to the geographical parameters, in order to check the inventory coherence before its application to an air quality model.
In summer, high levels of ozone (O3) are frequently measured at both Galicia and Northern Portugal air quality monitoring stations, even exceeding the limit values imposed by legislation. This work aims to investigate the origin of these high O3 concentrations by the application of a chemical transport modelling system over the northwestern area of the Iberian Peninsula. The WRF-CHIMERE modelling system was applied with high resolution to simulate the selected air pollution episodes that occurred simultaneously in Galicia and North Portugal and in order to study both the contribution of local emission sources and the influence of transboundary pollution. Emission inputs have been prepared based on the development of the Portuguese and Galician emission inventories. The obtained results for O3 have been evaluated and validated against observations. Modelling results show possible contribution of the transboundary transport over the border of two neighbour regions/countries, indicating that the O3 episode starts over the urban and industrialised area of North coast of Portugal, reaching the maximum peaks over this region; at the same time, O3 levels increased over Galicia region, where lower concentrations, but still high, were observed. These results pointed out that air quality management should not be driven by political boundaries and highlight the importance of joining efforts between neighbouring countries.
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