Urban air quality is traditionally monitored using sparse networks of fixed site monitoring stations, with numerical models of varying complexity and inputs being used to provide high spatial resolution mapping of pollution. Given the high spatial and temporal variability of pollutant concentrations usually observed in the urban environment, this approach has significant limitations both in characterizing true urban conditions and for quantifying personal exposure.
