Paper
8 November 2010 Scanning mobile lidar for aerosol tracking and biological aerosol identification
T.-Y. He, F. Gao, S. Stanič, D. Veberič, K. Bergant, A. Dolžan, X.-Q. Song
Author Affiliations +
Abstract
We report on the development of a scanning mobile Mie-fluorescence lidar for the detection and identification of biological and non-biological aerosols in the lower troposphere. Our lidar system has the capability to perform azimuth and elevation angle scans with an angular resolution of 0.1° in both day-time and night-time conditions. As the transmitter, we use a solid state Nd:YAG laser with simultaneous emission of 8 ns light pulses at 1064 nm and 266 nm with a maximum repetition rate of 10 Hz. Scattered light is collected by a Newtonian telescope with a diameter of 300 mm. The receiver consists of three channels for the detection of elastic scattering signals at 1064 nm and 266 nm as well as the fluorescence signal of the amino-acid tryptophan intrinsic to biological substances with a local peak at 295 nm. An important benchmark of the system are the aerosol loading measurements pending the eruption of the Icelandic Eyjafjallajokull volcano on 14 April 2010. Experiments on 20 April 2010 showed an elevated aerosol layer at an altitude of 2500 m a.s.l., which was confirmed as a layer of volcanic ash by other experiments. We also present first two-dimensional measurements of aerosol loading in urban areas, which can be of assistance in locating the aerosol sources, their dispersal trajectories, and simulation results for tryptophan fluorescence signal from biological aerosols.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
T.-Y. He, F. Gao, S. Stanič, D. Veberič, K. Bergant, A. Dolžan, and X.-Q. Song "Scanning mobile lidar for aerosol tracking and biological aerosol identification", Proc. SPIE 7832, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VI, 78320U (8 November 2010); https://doi.org/10.1117/12.868387
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Cited by 8 scholarly publications.
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KEYWORDS
Aerosols

LIDAR

Light scattering

Luminescence

Signal detection

Atmospheric sensing

Current controlled current source

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