Combining Chemical Composition Data and Numerical Modelling for the Assessment of Air Quality in a Mediterranean Port City

The aim of this study is to characterize the air quality in a Mediterranean port city. impact ship emissions on both gaseous and particulate pollutants has been investigated through an integrated methodology which includes atmospheric flow dispersion numerical modelling as well chemical composition statistical analyses. Specifically, compositional data (ionic fraction, carbonaceous compounds, metals) PM2.5 were acquired during experimental field campaign carried out city Brindisi (Apulia Region, Southern Italy). sampling site was located roof building (ASI) within area. Given complexity domestic buildings large industrial area are present, analyses done by selecting different wind sectors test techniques discriminate between sources. Linear Discriminant Analysis (LDA) Principal Component (PCA) applied evaluate differences sampled when downwind or urban-industrial Only LDA allowed separation macroareas. Those results further confirmed terms concentrations directly associated using coupled approach. mesoscale model BOLCHEM used investigate contribution primary secondary concentration surrounding port, PM10, NOX O3 concentrations. Then, offline with local ADMS-Urban. adopted approach crucial spatial distribution emissions. showed that cell average 37.6%, −11.7% O3. 6.1%, distributed (2.7%) fraction (3.4%). At scale, analysis high-resolution obtained from ADMS-Urban highlighted that, at ASI position, 6.8% positioned reduced lower than 3.0% about 2 km