Modeling of environmental four-way data from air quality control

In this study, the attention is focused on modeling a four-way environmental data set that comes from monitoring of air quality in two industrial regions in Austria, by means of PARAFAC and Tucker models. It appeared that the constructed Tucker model is the most appropriate for the studied data. It gave a possibility to uncover important information about the influence of chemical composition, particle size and seasonality on the air quality at the industrial regions of interest. The Tucker model analysis made it also possible to distinguish the two industrial regions as two different air quality locations.