Influence of Meteorological Input Parameters on Urban Dispersion Modelling for Traffic Scenario Analysis

Abstract

The aim of this study is to evaluate the results from using parallel observation and numerical weather prediction data as inputs to the urban dispersion model SIRANE applied to traffic scenarios of NOX in the city of Florence. A detailed sensitivity analysis of the air quality modelling system against measurements from monitoring stations of the city of Florence has been carried out in order to identify the advantage and disadvantages of the use of meteorological observation and numerical weather prediction data.