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

Atmospheric and Climate Sciences 2022年第2期12卷 493-516页

作者： Carmen De Marco Antonella Boselli Andrea D’Anna Alessia Sannino Gaetano Sasso Mariano Sirignano Nicola Spinelli Xuan Wang ALA Advanced Lidar Applications S.R.L. Napoli Italy Istituto di Metodologie per l’Analisi Ambientale (IMAA) Consiglio Nazionale delle Ricerche Potenza Italy Centro di Servizi Metrologici Avanzati (CeSMA) Napoli Italy Dipartimento di Ingegneria Chimica Materiali e Produzione Industriale (DICMAPI) Università degli Studi di Napoli Federico II Napoli Italy Dipartimento di Fisica “E. Pancini” Università degli Studi di Napoli Federico II Napoli Italy Istituto Superconduttori Materiali Innovativi e Dispositivi (SPIN) Consiglio Nazionale delle Ricerche Napoli Italy

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

关键词： PM Particle Size Distribution optical particles properties Remote Sensing

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