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Monitoring Automotive Particulate Matter Emissions with LiDAR: A Review.

Authors :
Claudio Mazzoleni
Kuhns, Hampden D.
Moosmüller, Hans
Source :
Remote Sensing. Apr2010, Vol. 2 Issue 4, p1077-1119. 43p. 1 Color Photograph, 2 Diagrams, 5 Charts, 10 Graphs.
Publication Year :
2010

Abstract

Automotive particulate matter (PM) causes deleterious effects on health and visibility. Physical and chemical properties of PM also influence climate change. Roadside remote sensing of automotive emissions is a valuable option for assessing the contribution of individual vehicles to the total PM burden. LiDAR represents a unique approach that allows measuring PM emissions from in-use vehicles with high sensitivity. This publication reviews vehicle emission remote sensing measurements using ultraviolet LiDAR and transmissometer systems. The paper discusses the measurement theory and documents examples of how these techniques provide a unique perspective for exhaust emissions of individual and groups of vehicles. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20724292
Volume :
2
Issue :
4
Database :
Academic Search Index
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
50167533
Full Text :
https://doi.org/10.3390/rs2041077