“…The first family uses detailed atmospheric diffusion models, which take into account the physical and chemical equations that impact pollutant concentrations [12,13,14,15,16]. The second family applies statistical methods and leverages statistical models to capture the fundamental relationship between a set of input data (i.e., independent variables) and their targets (i.e., dependent variables) [17,18,19,20,21,22,23,24,25]. As an example, Shi and Harrison [26] developed a linear regression model to predict NO x and NO 2 concentrations in London.…”