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Particle Size Distributions Based on a Multipopulation Genetic Algorithm Used in Multiwavelength Lidar
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  • 作者:Jiandong Mao ; Hu Zhao ; Hongjiang Sheng ; Chunyan Zhou
  • 关键词:multiwavelength lidar ; particle size distribution ; multipopulation genetic algorithm ; tropospheric aerosols
  • 刊名:Journal of Russian Laser Research
  • 出版年:2016
  • 出版时间:January 2016
  • 年:2016
  • 卷:37
  • 期:1
  • 页码:69-81
  • 全文大小:528 KB
  • 参考文献:1.A. Shimizu, N. Sugimoto, I. Matsui, and T. Nishizawa, J. Quant. Spectrosc. Radiat. Transfer, 153, 77 (2015).ADS CrossRef
    2.S. N. Volkov, I. V. Samokhvalov, D. C. Hai, and D. Kim, App. Opt., 54, 3095 (2015).ADS CrossRef
    3.W. Gong, W. Wang, F. Mao, and J. Zhang, Opt. Commun., 349, 145 (2015).ADS CrossRef
    4.S. P. Burton, R. A. Ferrare, C. A. Hostetler, et al., Atmos. Meas. Tech., 5, 73 (2012).CrossRef
    5.D. Müller, D. Althausen, U. Wandinger, and A. Ansmann, “Multiple-wavelength aerosol lidar” in: A. Ansmann, R. Neuber, P. Rairoux, and U. Wandinger (Eds.), Advances in Atmospheric Remote Sensing with Lidar, Springer Verlag, Berlin (1996).
    6.D. Althausen, D. Mülle, A. Ansmann, et al., J. Atmos. Ocean. Technol., 17, 1469 (2000).ADS CrossRef
    7.D. Mülle, U. Wandinger, and A. Ansmann, Appl. Opt., 38, 2346 (1999).ADS CrossRef
    8.D. Mülle, U. Wandinger, and A. Ansmann, Appl. Opt., 38, 2358 (1999).ADS CrossRef
    9.D. Mülle, F. Wagner, U. Wandinger, et al., Appl. Opt., 39, 1879 (2000).ADS CrossRef
    10.C. S. Hong, K. H. Lee, Y. J. Kim, and Y. Iwasaka, Environ. Monit. Assess., 92, 43 (2004).CrossRef
    11.H. Parsiani and J. Mendez, WSEAS Trans. Syst., 7, 1218 (2008).
    12.R. E. Mamouri, A. Papayannis, V. Amiridis, et al., Atmos. Meas. Tech., 5, 1793 (2012).CrossRef
    13.J. Song and H. Zhang, Acta Meteorol. Sinica, 4, 483 (1982).
    14.Z. Tao, Y. Zhang, G. Zhang, et al., Chin. J. Quantum Electron., 21, 103 (2004).
    15.Z. Tao, D. Liu, H. Wei, et al., Spectrosc. Spect. Anal., 33, 1739 (2013).
    16.D. Liu, Z. Tao, D. Wu, et al., Acta Optica Sinica, 33, 0228001-1 (2013).CrossRef
    17.D. Liu, Z. Tao, Hu ShunXing, et al.. Acta Optica Sinica, 34, 0401001-1 (2014).CrossRef
    18.W. Wilson and H. Suh, J. Air Waste Manag. Assoc., 47, 1238 (1997).CrossRef
    19.R. Pozzia, B. De Berardis, L. Paoletti, and C. Guastadisegni, Toxicology, 183, 243 (2003).CrossRef
    20.T. Chen, Y. Zhao, D. Liu, et al., Chin. J. Lasers, 39, 0514001 (2012).CrossRef
    21.H. Di, X. Hou, H. Zhao, et al., Acta Physica Sinica, 63, 244206 (2014).
    22.L. Dai, H. Ding, and D. Sun, Semicond. Optoelectron., 29, 980 (2008).
    23.S. N. Sivanandam and S. N. Deepa, Introduction to Genetic Algorithm, Springer Verlag (2007), p. 325.
    24.N. S. Mera, L. Elliott, and D. B. Ingham, Comput. Mech., 33, 254 (2004).MathSciNet CrossRef
    25.J. Mao and Juan Li, Terr. Atmos. Ocean. Sci., 25, 791 (2014).CrossRef
    26.J. Mao, H. Sheng, H. Zhao, and C. Zhou, Adv. Meteorol., 2014, 157645 (2014).CrossRef
  • 作者单位:Jiandong Mao (1)
    Hu Zhao (1)
    Hongjiang Sheng (1)
    Chunyan Zhou (1)

    1. School of Electrical and Information Engineering, Beifang University of Nationalities, North Wenchang Road, Yinchuan, 750021, China
  • 刊物类别:Physics and Astronomy
  • 刊物主题:Physics
    Applied Optics, Optoelectronics and Optical Devices
    Laser Technology and Physics and Photonics
    Microwaves, RF and Optical Engineering
    Russian Library of Science
  • 出版者:Springer New York
  • ISSN:1573-8760
文摘
Aerosols influence the radiation budget of the Earth’s atmospheric system. Aerosol particle size distribution is one of the major parameters used for characterizing aerosol influence on radiative forcing. The optical and microphysical properties of aerosol particles over Yinchuan, China, were measured with a multiwavelength lidar developed at Beifang University of Nationalities using backscatter and extinction coefficients at wavelengths of 1064, 532, and 355 nm. These data were used to retrieve particle size distributions. Given the disadvantages of the traditional regularization method, the innovative multipopulation genetic algorithm (MPGA) was used to retrieve the particle size distribution from the lidar data. To verify the feasibility of using the MPGA on multiwavelength lidar data, experiments were carried out under different atmospheric conditions, including a background sunny day, a cloudy day, and a foggy day. The particle size distributions obtained from the multiwavelength lidar data were compared with results retrieved from direct irradiance data from a sun photometer. Results showed that the MPGA is suitable for retrieving particle size distributions from multiwavelength lidar data.

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