Paper
11 May 2011 Characterization of laser induced fluorescence from background aerosols in a maritime environment
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Abstract
Defence R&D Canada (DRDC) has developed, by the end of the 90s, a standoff bioaerosol sensor based on intensified range-gated spectrometric detection of Laser Induced Fluorescence (LIF). This sensor called SINBAHD demonstrated the capability to detect and characterize bioaerosols from a stand-off position. The sensor sensitivity and false alarm rate directly depend on the background characteristics since these later will dictate the threshold levels to be used. SINBAHD was used to characterize the background aerosols in a maritime environment close to Halifax, Canada in May 2008. The characterization of the LIF signal from the background aerosols included spectral, temporal and spatial aspects over 8 nights of continuous data collection. The local environmental conditions in addition to the aerosol concentration and particle size distribution were recorded during the entire trial period. From the 64 LIF trials, only five showed specific spectral features. The spectral variability was encountered either at short range, thus closer to the shore, or during a night having a specific prevalent wind direction. Indeed, the detected anomalies were in most cases directly related to the climatic conditions. The integrated LIF signal was also processed to assess the use of LIF intensity to identify aerosol anomalies in a maritime environment.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sylvie Buteau, Jean-Robert Simard, and Denis Nadeau "Characterization of laser induced fluorescence from background aerosols in a maritime environment", Proc. SPIE 8018, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XII, 801803 (11 May 2011); https://doi.org/10.1117/12.886977
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Cited by 2 scholarly publications.
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KEYWORDS
Laser induced fluorescence

Aerosols

Atmospheric particles

Humidity

Sensors

Signal detection

Climatology

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