Monitoring Automotive Particulate Matter Emissions with LiDAR: A Review

Remote Sensing

Claudio Mazzoleni²  Hampden D. Kuhns¹ 

[1] Division of Atmospheric Sciences, Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, USA; E-Mails:;Michigan Technological University, 1400 Townsend Drive, Physics Department, Houghton, MI 49931, USA

关键词: LiDAR;    remote sensing;    aerosols;    particulate matter;    pollution;    vehicles;    emissions;   

DOI  :  10.3390/rs2041077

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.