a novel approach to improve the air quality predictions of air pollution dispersion modelling systems

the aim of this research paper is the introduction of a novel mathematical approach to improvethe accuracy of the results of air pollution dispersion models based on the calibration of input backgroundconcentrations. using the dunkirk area of the city of nottingham in the uk as a case study, an air pollutionmodel in adms-roads was created for developing the mathematical approach. the iterative application ofthis approach to the input background concentrations effectively reduced the error between not only theannual mean, but also the hourly, calculated and monitored air pollution concentrations. the traffic flowprofiles of the modelled road network were included in the air pollution model and their impact on the modelresults, after the application of the calibration approach, was investigated. the inclusion of the traffic flowprofiles reduced further the error between the hourly, but not the annual means of, calculated and monitoredconcentrations.