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• Mazzoleni, C
• Kuhns, H
• Moosmüller, H
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• Kuhns, H
• Moosmüller, H
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• Kuhns, H
• Moosmüller, H

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Remote Sens. 2010, 2(4), 1077-1119; doi:10.3390/rs2041077

Review

Monitoring Automotive Particulate Matter Emissions with LiDAR: A Review

Claudio Mazzoleni ^1,* , Hampden D. Kuhns ²  and Hans Moosmüller ²

¹ Michigan Technological University, 1400 Townsend Drive, Physics Department, Houghton, MI 49931, USA ² Division of Atmospheric Sciences, Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, USA

* Author to whom correspondence should be addressed.

Received: 5 January 2010; in revised form: 15 March 2010 / Accepted: 30 March 2010 / Published: 9 April 2010

(This article belongs to the Special Issue LiDAR)

Download PDF Full-Text [914 KB, uploaded 9 April 2010 11:21 CEST]

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.

Keywords: LiDAR; remote sensing; aerosols; particulate matter; pollution; vehicles; emissions

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