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Study on Bioagents/Bioaerosols Standoff Detection by Lidar

Received: 21 February 2016     Accepted: 10 March 2016     Published: 29 March 2016
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Abstract

Scattering, fluorescence and polarization are the important data source for bioagent or bioaerosol time-space observation and identification. This paper stated and discussed the theory and data inversion principles for Mie scattering, laser induced fluorescence and polarization sensing Lidar. The sensing and data inversion results for bioagent/bioaerosol extinction coefficient, horizontal linear depolarization ratio were also demonstrated. The signal and SNR simulation of fluorescence lidar were also demonstrated. The sensing results revealed that the three kinds of detecting technology approaches are reasonable and potential for bioagent/bioaerosol characterization and recognition.

Published in International Journal of Environmental Monitoring and Analysis (Volume 4, Issue 2)
DOI 10.11648/j.ijema.20160402.11
Page(s) 39-44
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Bioagents/Bioaerosols, Lidar, Laser Induced Fluorescence, Depolarization Ratio, Mie Scattering

References
[1] Matoušek, J.; Bendík J. & Linhart P. CBRN: biologické zbraně. CBRN “Boological weapons” Sdružení požárního a bezpečnostního inženýrství, 2007. (in Czech).
[2] Klietmann, W. F. & Ruoff, K. “Bioterrorism: Implications for the Clinical Microbiologist”, Clinical Mikrobiology Reviews, 2001, 14(2), pp. 364-81.
[3] Burger, H. A.; Solomon, W. R. “Sampling and analysis of biological aerosols”. Atmospheric Enviroment, 1987, 12 (2), pp. 451-456.
[4] Health Aspects of Chemical and Biological Weapons, World Health Organization, Geneva, Switzerland, 1970.
[5] D. R. Walt and D. R. Franz, “Biological Warfare Detection”, Analytical Cemistry, pp. 378 A-746 A, 2000.
[6] G. M. Dougherty, D. S. Clague, and R. R. Miles, B. Field-capable biodetection devices for homeland security missions. SPIE Opt. Photon. Global Homeland Security III, vol. 6540, 2007.
[7] Measures, R. M., Laser Remote Sensing: Fundamentals and Applications, John Wiley & Sons, New York, 1984.
[8] Fernald, F. G., Analysis of atmospheric lidar observation: some comments, Appl. Opt., 1984; 23, pp. 652~655.
[9] Y. Sasano and E. V. Browell, Light scattering characteristics of various aerosol types derived from multiple wavelength lidar observations, Appl. Opt. 1989, 28, pp. 1670~1679.
[10] Xiaoying Cao, Gilles Roy and Robert Bernier, Lidar polarization discrimination of bioaerosols, Optical Engineering, 2010, 49(11), pp. 116201-1~116201-12.
[11] Nianwen Cao, Cunxiong Zhu, Shaobo Yang, Yinhai Xie, Fengkai Yang, and Feng Zhang, Identification of Aerosol Species Using Polarization Lidar, Optics and Spectroscopy, 2014, 117( 3), pp. 486–491.
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  • APA Style

    Yang Hui, Sun Yanfei, Wang Tiedong, Zhao Xuesong. (2016). Study on Bioagents/Bioaerosols Standoff Detection by Lidar. International Journal of Environmental Monitoring and Analysis, 4(2), 39-44. https://doi.org/10.11648/j.ijema.20160402.11

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    ACS Style

    Yang Hui; Sun Yanfei; Wang Tiedong; Zhao Xuesong. Study on Bioagents/Bioaerosols Standoff Detection by Lidar. Int. J. Environ. Monit. Anal. 2016, 4(2), 39-44. doi: 10.11648/j.ijema.20160402.11

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    AMA Style

    Yang Hui, Sun Yanfei, Wang Tiedong, Zhao Xuesong. Study on Bioagents/Bioaerosols Standoff Detection by Lidar. Int J Environ Monit Anal. 2016;4(2):39-44. doi: 10.11648/j.ijema.20160402.11

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  • @article{10.11648/j.ijema.20160402.11,
      author = {Yang Hui and Sun Yanfei and Wang Tiedong and Zhao Xuesong},
      title = {Study on Bioagents/Bioaerosols Standoff Detection by Lidar},
      journal = {International Journal of Environmental Monitoring and Analysis},
      volume = {4},
      number = {2},
      pages = {39-44},
      doi = {10.11648/j.ijema.20160402.11},
      url = {https://doi.org/10.11648/j.ijema.20160402.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20160402.11},
      abstract = {Scattering, fluorescence and polarization are the important data source for bioagent or bioaerosol time-space observation and identification. This paper stated and discussed the theory and data inversion principles for Mie scattering, laser induced fluorescence and polarization sensing Lidar. The sensing and data inversion results for bioagent/bioaerosol extinction coefficient, horizontal linear depolarization ratio were also demonstrated. The signal and SNR simulation of fluorescence lidar were also demonstrated. The sensing results revealed that the three kinds of detecting technology approaches are reasonable and potential for bioagent/bioaerosol characterization and recognition.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Study on Bioagents/Bioaerosols Standoff Detection by Lidar
    AU  - Yang Hui
    AU  - Sun Yanfei
    AU  - Wang Tiedong
    AU  - Zhao Xuesong
    Y1  - 2016/03/29
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijema.20160402.11
    DO  - 10.11648/j.ijema.20160402.11
    T2  - International Journal of Environmental Monitoring and Analysis
    JF  - International Journal of Environmental Monitoring and Analysis
    JO  - International Journal of Environmental Monitoring and Analysis
    SP  - 39
    EP  - 44
    PB  - Science Publishing Group
    SN  - 2328-7667
    UR  - https://doi.org/10.11648/j.ijema.20160402.11
    AB  - Scattering, fluorescence and polarization are the important data source for bioagent or bioaerosol time-space observation and identification. This paper stated and discussed the theory and data inversion principles for Mie scattering, laser induced fluorescence and polarization sensing Lidar. The sensing and data inversion results for bioagent/bioaerosol extinction coefficient, horizontal linear depolarization ratio were also demonstrated. The signal and SNR simulation of fluorescence lidar were also demonstrated. The sensing results revealed that the three kinds of detecting technology approaches are reasonable and potential for bioagent/bioaerosol characterization and recognition.
    VL  - 4
    IS  - 2
    ER  - 

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Author Information
  • New Star Application Technology Institute, Hefei, China

  • New Star Application Technology Institute, Hefei, China

  • New Star Application Technology Institute, Hefei, China

  • Key Lab. of Environmental Optics & Technology, CAS, Hefei, China

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