Combining data assimilation and source apportionment techniques to model local and background contributions to PM concentrations
conference paper
Air pollution over urban environments is a mix of pollutants emitted locally as well as pollutants advected from different regions. To give policy makers the possibility to take effective measures within their domain it is of relevance to discriminate between local and background contributions. In this study we investigate an integrated approach using the source apportionment and data assimilation modules of the regional Chemical Transport model (CTM), LOTOS-EUROS. The aim is to provide an innovative way of assimilating measurements within the model by separating between dependencies on local emissions and background contributions.
Topics
TNO Identifier
997291
Source title
14th International Conference on Air Quality, May 13-17, 2024, Helsinki, Finland
Pages
1