Please use this identifier to cite or link to this item:
|Title:||Uncertainties in Modelling the Spatial and Temporal Variations in Aerosol Concentrations|
|Authors:||DE MEIJ Alexander|
|Publisher:||Technical University of Eindhoven|
|Abstract:||Aerosols play a key role in air quality (health aspects) and climate. In this thesis atmos-pheric chemistry transport models are used to study the uncertainties in aerosol model-ling and to evaluate the effects of emission reduction scenarios on air quality. Uncertain-ties in: the emissions of gas and aerosol species in the inventories, in meteorological parameters, in the impact of orography on meteorology, all contribute to the uncertain-ties in gas and aerosol modelling and require high priority in order to estimate better the gas and aerosol concentrations for scientific research and policy making. The overall objectives of this thesis are to identify and quantify a few key uncertainties related to gas and aerosol regional and global scale modelling. These are: I. The impact of using two different emission inventories on gas and aerosol calcu-lated concentrations. II. The role of the temporal and vertical distribution of emissions on gas and aerosol calculations. III. The impact of model resolution on aerosol calculations. IV. The impact of using two different meteorological driver models on gas and aerosol calculations. V. The impact of emission reduction scenarios on calculated air quality. VI. Strategies to evaluate model results with atmospheric measurements.|
|JRC Directorate:||Sustainable Resources|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.