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The assessment of air quality is of great importance for defining measures for pollution reduction and ensuring the public health protection. The monitoring stations are the tools established to measure and manage the compliance with national ambient air quality standards. Because these networks need considerable financial resources, many studies are aimed at identifying possible redundancy in air quality monitoring sites.Following these lines of research, we focus on ascertaining if the spatial distributions of NO$_2$, PM$_{10}$, PM$_{2.5}$ and benzene concentrations are homogenously distributed in the urban area of Pescara-Chieti (Central Italy). To this end we adopt a multivariate functional model-based clustering algorithm.