| Summary: | The TRAPOS (Optimisation of Modelling Methods for Traffic Pollution in Streets) Project was a European Research Network that had two main objectives: 1) To contribute to scientific achievements in the development and improvement of modelling tools used for the prediction of traffic pollution in urban streets through co-operative work. 2) To promote training-through-research, especially of young researchers, within the framework of high quality trans-national collaborative research projects The project was in the framework of the European Commission’s Training and Mobility of Researchers Programme (TMR), was co-ordinated by the Danish National Environmental Research Institute (NERI) and ran from November 1997 until April 2001. This summary and available CD has been distributed to some researchers in Europe. Several of them suggested that others may be interested in the project and that led to this note and contact points. The Network's participants represented universities, public research organisations and commercial consulting companies from several European countries (Denmark, France, Germany, Greece, Switzerland, the Netherlands and the United Kingdom). Their fields of research covered several different aspects of air pollution modelling, such as: laboratory wind tunnel modelling, field measurements, dispersion modelling including computational fluid dynamics and the regulatory applications of models. The work within the TRAPOS Network was closely connected with many other European projects and research activities conducted by the participants. The interdisciplinary character of the co-operation among the participants represented diverse experience and working methods and this led to efficient utilisation of the results and scientific achievements. Traffic pollution modelling is a very broad area and, to narrow the scope of the work within the Network, some principal research areas were identified as priorities: • the traffic created turbulence and its influence on dispersion of pollutants in the street, • ...
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