A Novel Approach to Improve the Air Quality Predictions of Air Pollution Dispersion Modelling systems

Document Type: Original Research Paper


Department of Public Works, Faculty of Engineering, Ain Shams University, Cairo, Egypt


The aim of this research paper is the introduction of a novel mathematical approach to improve
the accuracy of the results of air pollution dispersion models based on the calibration of input background
concentrations. Using the Dunkirk area of the City of Nottingham in the UK as a case study, an air pollution
model in ADMS-Roads was created for developing the mathematical approach. The iterative application of
this approach to the input background concentrations effectively reduced the error between not only the
annual mean, but also the hourly, calculated and monitored air pollution concentrations. The traffic flow
profiles of the modelled road network were included in the air pollution model and their impact on the model
results, after the application of the calibration approach, was investigated. The inclusion of the traffic flow
profiles reduced further the error between the hourly, but not the annual means of, calculated and monitored