• Infrared and Laser Engineering
  • Vol. 53, Issue 5, 20230677 (2024)
Meng Li1,2, Jiaxin Li1,2, Xinqian Guo3, Decheng Wu3, and Suyue Liu1,2
Author Affiliations
  • 1Tianjin Key Laboratory of Intelligent Signal and Image Processing, Civil Aviation University of China, Tianjin 300300, China
  • 2School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
  • 3Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Precision Machinery, Chinese Academy of Sciences Hefei Institute of Physical Sciences, Hefei 230000, China
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    DOI: 10.3788/IRLA20230677 Cite this Article
    Meng Li, Jiaxin Li, Xinqian Guo, Decheng Wu, Suyue Liu. Research on the method of extracting atmospheric boundary layer height based on wavelet multiscale analysis[J]. Infrared and Laser Engineering, 2024, 53(5): 20230677 Copy Citation Text show less
    Shearlets frequency domain segmentation and its supporting basis
    Fig. 1. Shearlets frequency domain segmentation and its supporting basis
    Atmospheric aerosol lidar GBQ L-01
    Fig. 2. Atmospheric aerosol lidar GBQ L-01
    The spatiotemporal distribution of aerosols over the entire sky on July 27, 2017. (a) Parallel component distance squared correction signal; (b) Vertical component distance squared correction signal; (c) Polarization ratio
    Fig. 3. The spatiotemporal distribution of aerosols over the entire sky on July 27, 2017. (a) Parallel component distance squared correction signal; (b) Vertical component distance squared correction signal; (c) Polarization ratio
    Changes observed by lidar on July 27, 2017. (a) 532 nm wavelength PRR signal strength; (b) Boundary layer height inversion using gradient method, wavelet covariance method, and wavelet multi-scale method for 532 nm wavelength
    Fig. 4. Changes observed by lidar on July 27, 2017. (a) 532 nm wavelength PRR signal strength; (b) Boundary layer height inversion using gradient method, wavelet covariance method, and wavelet multi-scale method for 532 nm wavelength
    Scatter plot of atmospheric boundary layer height comparison. (a) The scatter plot of PBLHWCT compared to PBLHShearlet; (b)The scatter plot of PBLHGradient compared to PBLHShearlet
    Fig. 5. Scatter plot of atmospheric boundary layer height comparison. (a) The scatter plot of PBLHWCT compared to PBLHShearlet; (b)The scatter plot of PBLHGradient compared to PBLHShearlet
    Vertical component distance squared correction signal, time scale energy spectrum at 08:00:45
    Fig. 6. Vertical component distance squared correction signal, time scale energy spectrum at 08:00:45
    Vertical component distance squared correction signal, time scale energy spectrum at 18:30:36
    Fig. 7. Vertical component distance squared correction signal, time scale energy spectrum at 18:30:36
    Vertical component distance squared correction signal, time scale energy spectrum at 23:00:37
    Fig. 8. Vertical component distance squared correction signal, time scale energy spectrum at 23:00:37
    TypeParameterIndex
    Transmitter unitLaserNd:YAG
    Emission wavelength/nm532
    Laser repetition frequency/kHz3
    Single pulse energy/mJ1
    pulse width/ns6
    Receiving unitReceiving aperture/mm200
    Field of view angle/mrad2
    Measurement channel532 nm (Polarization parallel)532 nm (Polarization perpendicular)
    Detector typePhotomultiplier tube
    Sampling/bit12
    Data sampling frequency/MHz20
    Table 1. Main parameters of lidar system
    Meng Li, Jiaxin Li, Xinqian Guo, Decheng Wu, Suyue Liu. Research on the method of extracting atmospheric boundary layer height based on wavelet multiscale analysis[J]. Infrared and Laser Engineering, 2024, 53(5): 20230677
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