• Acta Optica Sinica
  • Vol. 38, Issue 2, 0201001 (2018)
Yufeng Wang, Xiaoming Cao, Jing Zhang, Liu Tang, Yuehui Song, Huige Di, and Dengxin Hua*
Author Affiliations
  • School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, Shaanxi 710048, China
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    DOI: 10.3788/AOS201838.0201001 Cite this Article Set citation alerts
    Yufeng Wang, Xiaoming Cao, Jing Zhang, Liu Tang, Yuehui Song, Huige Di, Dengxin Hua. Detection and Analysis of All-Day Atmospheric Water Vapor Raman Lidar Based on Wavelet Denoising Algorithm[J]. Acta Optica Sinica, 2018, 38(2): 0201001 Copy Citation Text show less
    Schematic of Raman lidar system for water vapor measurement
    Fig. 1. Schematic of Raman lidar system for water vapor measurement
    Comparison of water vapor Raman scattering signals before and after denoising detected in daytime. (a) SNR and RMSE denoised by wavelet basis with different filter lengths; (b) comparison of range-square-corrected results before and after denoising
    Fig. 2. Comparison of water vapor Raman scattering signals before and after denoising detected in daytime. (a) SNR and RMSE denoised by wavelet basis with different filter lengths; (b) comparison of range-square-corrected results before and after denoising
    Comparison of Mie-Rayleigh scattering signals before and after denoising in daytime. (a) SNR and RMSE denoised by wavelet basis with different filter lengths; (b) comparison of range-square-corrected results before and after denoising
    Fig. 3. Comparison of Mie-Rayleigh scattering signals before and after denoising in daytime. (a) SNR and RMSE denoised by wavelet basis with different filter lengths; (b) comparison of range-square-corrected results before and after denoising
    Denoising results of daytime water vapor Raman scattering signals denoised with different threshold functions
    Fig. 4. Denoising results of daytime water vapor Raman scattering signals denoised with different threshold functions
    Denoising results of water vapor Raman scattering signals denoised by different threshold acquisition methods in daytime. (a) RSCS; (b) SNR and RMSE
    Fig. 5. Denoising results of water vapor Raman scattering signals denoised by different threshold acquisition methods in daytime. (a) RSCS; (b) SNR and RMSE
    Denoising results of Mie-Rayleigh scattering signals denosied by different threshold acquisition methods in daytime. (a) RSCS; (b) SNR and RMSE
    Fig. 6. Denoising results of Mie-Rayleigh scattering signals denosied by different threshold acquisition methods in daytime. (a) RSCS; (b) SNR and RMSE
    Comparison of lidar detection results before and after denoising in daytime. (a) RSCS of water vapor and nitrogen Raman scattering; (b) water vapor mixing ratio profile; (c) SNR of water vapor detection
    Fig. 7. Comparison of lidar detection results before and after denoising in daytime. (a) RSCS of water vapor and nitrogen Raman scattering; (b) water vapor mixing ratio profile; (c) SNR of water vapor detection
    Regression relationship of lidar signal before and after denoising. (a) Mie Rayleigh scattering signal; (b) water vapor Raman scattering signal
    Fig. 8. Regression relationship of lidar signal before and after denoising. (a) Mie Rayleigh scattering signal; (b) water vapor Raman scattering signal
    THI displays of water vapor mixing ratio in 2016-09-22 00∶00-2016-09-23 00∶00 before and after denoising. (a) Before denoising; (b) after denoising
    Fig. 9. THI displays of water vapor mixing ratio in 2016-09-22 00∶00-2016-09-23 00∶00 before and after denoising. (a) Before denoising; (b) after denoising
    Variation of water vapor mixing ratio taken by meteorological station in 2016-09-22 00∶00-2016-09-23 00∶00
    Fig. 10. Variation of water vapor mixing ratio taken by meteorological station in 2016-09-22 00∶00-2016-09-23 00∶00
    ParameterValue
    Laser wavelength354.7 nm
    Laser energy per pulse150 mJ
    Laser pulse repetition rate20 Hz
    Telescope diameter600 mm
    Field of view0.2 mrad
    Focal length2000 mm
    DM1R>99% at 350-365 nm,T>90% at 380-430 nm
    DM2R>99% at 360-395 nm, T>90% at 400-430 nm
    Central WL of IF1354.7 nm
    Bandwidth of IF10.5 nm
    Peaktransmittance of IF165%
    Central WL of IF2386.7 nm
    Bandwidth of IF20.5 nm
    Peaktransmittance of IF265%
    Central WL of IF3407.6 nm
    Bandwidth of IF30.5 nm
    Peaktransmittance of IF365%
    Table 1. Specification parameters of Raman lidar system
    Yufeng Wang, Xiaoming Cao, Jing Zhang, Liu Tang, Yuehui Song, Huige Di, Dengxin Hua. Detection and Analysis of All-Day Atmospheric Water Vapor Raman Lidar Based on Wavelet Denoising Algorithm[J]. Acta Optica Sinica, 2018, 38(2): 0201001
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