Paper
24 August 2017 Aerosol detection using lidar-based atmospheric profiling
Mohamed I. Elbakary, Hossam M. Abdelghaffar, Kwasi Afrifa, Hesham A. Rakha, Mecit Cetin, Khan M. Iftekharuddin
Author Affiliations +
Abstract
A compact light detection and ranging (LiDAR) is a system that provides aerosols profile measurements by identifying the aerosol scattering ratio as function of the altitude. The aerosol scattering ratios are used to obtain multiple aerosol intensive ratio parameters known as backscatter color ratio, depolarization ratio, and lidar ratio. The aerosol ratio parameters are known to vary with aerosol type, size, and shape. In this paper, we employed lidar measurements to detect the potential source of the aerosol in the neighborhood of the campus of Old Dominion University. The lidar is employed to collect measurements at several locations in the area of study. Then, the lidar ratio and the color ratio are retrieved from collected measurements. To find the source of aerosol in the measurements, a tracking algorithm is implemented and employed to track the concentration of that pollution in the data. The results show that the source of soot pollution in the area of study is Hampton Blvd, a major street, in the area of the campus where the diesel trucks travel between the ports in the city of Norfolk.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohamed I. Elbakary, Hossam M. Abdelghaffar, Kwasi Afrifa, Hesham A. Rakha, Mecit Cetin, and Khan M. Iftekharuddin "Aerosol detection using lidar-based atmospheric profiling", Proc. SPIE 10395, Optics and Photonics for Information Processing XI, 103951H (24 August 2017); https://doi.org/10.1117/12.2275626
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KEYWORDS
Aerosols

LIDAR

Light scattering

Pollution

Scattering

Atmospheric particles

Atmospheric sensing

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