Modeling LIDAR Detection of Biological Aerosols to Determine Optimum Implementation Strategy

Sheen, David M. ; Aker, Pam M.

Pacific Northwest National Laboratory (U.S.)

关键词: Flourescence;    Flourescence;    Detection;    Detection;    Biological;   

DOI  :  10.2172/1074333
RP-ID  :  PNNL-16854
RP-ID  :  AC05-76RL01830
RP-ID  :  1074333

美国|英语

来源: UNT Digital Library

【 摘 要 】

This report summarizes work performed for a larger multi-laboratory project named the Background Interferent Measurement and Standards project. While originally tasked to develop algorithms to optimize biological warfare agent detection using UV fluorescence LIDAR, the current uncertainties in the reported fluorescence profiles and cross sections the development of any meaningful models. It was decided that a better approach would be to model the wavelength-dependent elastic backscattering from a number of ambient background aerosol types, and compare this with that generated from representative sporulated and vegetative bacterial systems. Calculations in this report show that a 266, 355, 532 and 1064 nm elastic backscatter LIDAR experiment will allow an operator to immediately recognize when sulfate, VOC-based or road dust (silicate) aerosols are approaching, independent of humidity changes. It will be more difficult to distinguish soot aerosols from biological aerosols, or vegetative bacteria from sporulated bacteria. In these latter cases, the elastic scattering data will most likely have to be combined with UV fluorescence data to enable a more robust categorization.