Author(s)

M. Zunckel, E.C. Cairncross, E. Marx, V. Singh & V. Reddy

Abstract

The objective of the Dynamic Air Pollution Prediction System (DAPPS) is to combine a meteorological forecast model and a photochemical dispersion model to predict the ambient concentration of selected pollutants. The Penn State/UCAR MM5 mesoscale model, nested to 1.7 km, is used to predict gridded 12 hour, 24 hour and 36 hour meteorological fields. A comprehensive emission data base comprises emissions from industry, petrol and diesel powered motor vehicles and domestic wood and paraffin burning. It includes information on their physical and chemical characteristics, together with their spatial at

Keywords