Real-time vehicle emissions monitoring using a compact LiDAR system and conventional instruments: first results of an experimental campaign in a suburban area in southern Italy

Stefano Parracino; Maria Richetta; Michela Gelfusa; Andrea Malizia; Carlo Bellecci; Leonardo De Leo; Carlo Perrimezzi; Alessandro Fin; Marco Forin; Francesca Giappicucci; Massimo Grion; Giuseppe Marchese; Pasquale Gaudio

doi:10.1117/1.OE.55.10.103107

18 October 2016 Real-time vehicle emissions monitoring using a compact LiDAR system and conventional instruments: first results of an experimental campaign in a suburban area in southern Italy

Stefano Parracino, Maria Richetta, Michela Gelfusa, Andrea Malizia, Carlo Bellecci, Leonardo De Leo, Carlo Perrimezzi, Alessandro Fin, Marco Forin, Francesca Giappicucci, Massimo Grion, Giuseppe Marchese, Pasquale Gaudio

Author Affiliations +

Funded by: PON project SNIFF—Sensor Network Infrastructure for Factors

Optical Engineering, Vol. 55, Issue 10, 103107 (October 2016). https://doi.org/10.1117/1.OE.55.10.103107

Abstract

Urban air pollution causes deleterious effects on human health and the environment. To meet stringent standards imposed by the European Commission, advanced measurement methods are required. Remote sensing techniques, such as light detection and ranging (LiDAR), can be a valuable option for evaluating particulate matter (PM), emitted by vehicles in urban traffic, with high sensitivity and in shorter time intervals. Since air quality problems persist not only in large urban areas, a measuring campaign was specifically performed in a suburban area of Crotone, Italy, using both a compact LiDAR system and conventional instruments for real-time vehicle emissions monitoring along a congested road. First results reported in this paper show a strong dependence between variations of LiDAR backscattering signals and traffic-related air pollution levels. Moreover, time-resolved LiDAR data averaged in limited regions, directly above conventional monitoring stations at the border of an intersection, were found to be linearly correlated to the PM concentration levels with a correlation coefficient between 0.75 and 0.84.

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Stefano Parracino, Maria Richetta, Michela Gelfusa, Andrea Malizia, Carlo Bellecci, Leonardo De Leo, Carlo Perrimezzi, Alessandro Fin, Marco Forin, Francesca Giappicucci, Massimo Grion, Giuseppe Marchese, and Pasquale Gaudio "Real-time vehicle emissions monitoring using a compact LiDAR system and conventional instruments: first results of an experimental campaign in a suburban area in southern Italy," Optical Engineering 55(10), 103107 (18 October 2016). https://doi.org/10.1117/1.OE.55.10.103107

Published: 18 October 2016

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