Imaging Components, Systems, and Processing

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

[+] Author Affiliations
Stefano Parracino, Maria Richetta, Michela Gelfusa, Andrea Malizia, Pasquale Gaudio

University of Rome Tor Vergata, Department of Industrial Engineering, Via del Politecnico 1, Rome 00133, Italy

Carlo Bellecci

University of Rome Tor Vergata, Department of Industrial Engineering, Via del Politecnico 1, Rome 00133, Italy

CRATI scrl C/O University of Calabria,Cube 30/C, Via Pietro Bucci, 87037 Arcavacata di Rende (CS), Italy

Leonardo De Leo, Carlo Perrimezzi

CRATI scrl C/O University of Calabria,Cube 30/C, Via Pietro Bucci, 87037 Arcavacata di Rende (CS), Italy

Alessandro Fin, Marco Forin, Francesca Giappicucci, Massimo Grion, Giuseppe Marchese

Vitrociset S.p.A., Via Tiburtina 1020, Rome 00156, Italy

Opt. Eng. 55(10), 103107 (Oct 18, 2016). doi:10.1117/1.OE.55.10.103107
History: Received July 15, 2016; Accepted September 23, 2016
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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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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Stefano Parracino ; Maria Richetta ; Michela Gelfusa ; Andrea Malizia ; Carlo Bellecci, et al.
"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", Opt. Eng. 55(10), 103107 (Oct 18, 2016). ; http://dx.doi.org/10.1117/1.OE.55.10.103107


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