Mutiparametric Characterization of Atmospheric Particulate in a Heavy-Polluted Area of South Italy

To obtain a real-time image of atmospheric particulate matter (PM) in highly polluted areas and to understand how the anthropogenic component linked urban activities (industrial activities, domestic heating, road traffic, waste disposal) can locally affect near-surface measurement PM, several campaigns were achieved Campania region (Southern Italy) using both Lidar in-situ instruments. A comparison between obtained results highlights good correlation data potential remote sensing instruments for air quality monitoring. Data analysis was performed terms particle backscattering coefficient profile at 355 nm, PM mass concentration, size distribution. Wind profiles, which covered range altitudes from 40 m 290 m, also used study sources physical processes involved. Measurement carried out rural area with landfill site highlighted presence homogeneous layer throughout sounded due winds driving aerosol surrounding areas. The distribution modal diameter moving towards 0.9 2 μm larger concentration particles morning, before noon afternoon when large number trucks delivered solid wastes. Moreover, concentrations measured small town few industrial peak (211 ± 33 μg·m-3) direction most urbanized area, probably lighting heating systems. Bimodal measured, indicative two types sources: gas liquid combustion (particles sizes below 80 nm), including vehicular traffic gas-heating, biomass order 200 - 500 nm). Finally, collected populated industrialized having high level spherical geometry (aerosol depolarization 5%) pointing area. Conversely, measurements toward other directions diffused source aspherical (depolarization values about 3%) spreading all city territory. work showed as co-location near surface is promising approach studying properties layers has more accurate information on dynamics.