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Reasons for the Action

At the time when the Action was launched, it was really needed because ongoing research would benefit immediately in the context of the conceptual and application-oriented improvements that the Action aimed at. The dissemination of the scientific results and the best practice recommendations through publications and special sessions at conferences and workshops would have an immediate impact on applied local-scale emergency response modelling and model development. On an intermediate term perspective, the Action would reveal the weak points and limitations of applied local scale emergency response models and approaches and would outline the most preferable direction for future developments. Recommendations would be based on a broader scientific base than national efforts can provide.

In addition to the best practice recommendations given by the Action, one of the major outcomes promised by the Action was a comprehensive database, scientifically and practically qualified for benchmarking local-scale emergency response models. Although a few data sets do already existed from previous field and laboratory campaigns (e.g. Joint Urban 2003, DAPPLE, MUST), most of them had not been fully summarized, quality-assured and prepared for model evaluation. In this regard, the Action would establish the basis for a dedicated application-oriented test data base for local-scale airborne hazard models, similar to those available for example for air quality modelling. Together with a complete inventory of available models and modelling systems, the Action would further establish a scientific and methodical reference for local-scale airborne hazards modelling.

Finally, the Action promised to help improve the quality of hazardous materials dispersion models at regional and larger scales by providing a more reliable characterization of their initial dispersion conditions, particularly in complex structured environments. A more accurate representation of complex source terms was supposed to directly add reliability to this scale of emergency response modelling as well.