Sensitivity analysis of a mathematical model for photochemical air pollution

The effect of simultaneous ± 50 per cent uncertainties in the emission and meteorological parameters on the predictions of a mathematical model for photochemical air pollution is studied. Predicted concentrations are found to be most sensitive to uncertainties in mixing height, photolysis intensity, initial conditions and emission intensity. A general method for air quality model sensitivity analysis is discussed and employed.