Keywords: air quality assessment, air pollution modelling, kriging interpolation, linear regression, Spain
Combination of measured and modelling data in air quality assessment in Spain
This paper describes a methodology to combine measurements from air quality stations and estimates from the CHIMERE model for air quality assessment in Spain. The methodology consists of using linear regression and kriging interpolation to correct the model results, improving the fit to the observations. It was separately applied to rural and urban conditions, giving rise to maps for each case, which were then combined by taking into account the distribution of rural and urban areas in the domain. The results for several pollutants and the methodology's application to air quality assessment in Spain are shown and discussed.