In this paper a local emission inventory for PM10 and PM2.5 is presented that has been developed using a top-down spatial disaggregation of the official emission inventory for the Metropolitan Area of the Aburra Valley in Colombia. The local emission inventory was evaluated using the LOTOS-EUROS Chemical Transport Model in a high-resolution simulation, and compared with the global emission inventory EDGAR. A detailed analysis of the model using the local emission inventory was performed. The results showed a considerable improvement in model performance when the local emission inventory was used in comparison to the global emission inventory.