Paper
19 August 1998 Scanning lidar application for pollutant sources in an industrial complex
Shiv R. Pal, Don Hlaing, Allan I. Carswell, Gilles Roy, Christian Bastille
Author Affiliations +
Proceedings Volume 3504, Optical Remote Sensing for Industry and Environmental Monitoring; (1998) https://doi.org/10.1117/12.319574
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China
Abstract
This paper presents the results of a lidar campaign for aerosol and smoke plume studies carried out in collaboration with the Ministry of Environment of the Province of Ontario at the industrial complex in the city of Hamilton. The aim of the study was to apply lidar remote sensing to measure simultaneously emissions from different sources and determine the potential of lidar for tracking and differentiating plumes from various industrial processes. This study was carried out with the scanning lidar system of the Canadian Defense Research Establishment (1064 nm, 60 mJ, 100 Hz, dual polarization). The scanning lidar system was successful in providing coverage in azimuth ((phi) ) and elevation ((Theta) ) to map effluent plumes in 3-D from a range of over 5 km targeting major individual industrial sites. From 5 km range, for differentiating the plumes within one industrial complex, the highest resolutions (Delta) (phi) equals 0.05 degrees and (Delta) (Theta) equals 0.03 degrees available were necessary. To understand the dynamic behavior of plumes, time series scans were required which are a key to determining sources of Black Fallout and fugitive emissions that deposit particulate matter in the Hamilton area. Examples of relative plume strengths as demonstrated by the lidar are also discussed.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shiv R. Pal, Don Hlaing, Allan I. Carswell, Gilles Roy, and Christian Bastille "Scanning lidar application for pollutant sources in an industrial complex", Proc. SPIE 3504, Optical Remote Sensing for Industry and Environmental Monitoring, (19 August 1998); https://doi.org/10.1117/12.319574
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KEYWORDS
LIDAR

Clouds

Atmospheric particles

Picosecond phenomena

Remote sensing

Backscatter

Pollution

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