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 top-down 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.
