• Acta Optica Sinica
  • Vol. 43, Issue 12, 1228004 (2023)
Zhenxing Liu1、2、3, Jianhua Chang1、2、*, Hongxu Li4, Yuanyuan Meng1, Mei Zhou1, and Tengfei Dai1、2
Author Affiliations
  • 1School of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China
  • 2Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China
  • 3Department of Information Technology, Taizhou Polytechnic College, Taizhou 225300, Jiangsu, China
  • 4School of Electronic Information Engineering, Wuxi University, Wuxi 214105, Jiangsu, China
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    DOI: 10.3788/AOS221534 Cite this Article Set citation alerts
    Zhenxing Liu, Jianhua Chang, Hongxu Li, Yuanyuan Meng, Mei Zhou, Tengfei Dai. A Highly Robust Atmospheric Boundary Layer Height Estimation Method Combining K-means and Entropy Weight Method[J]. Acta Optica Sinica, 2023, 43(12): 1228004 Copy Citation Text show less
    Flowchart of ABLH estimation by EK-means from lidar data
    Fig. 1. Flowchart of ABLH estimation by EK-means from lidar data
    Characteristics of NRB on cloudy at 17:32 UTC, 22 March 2004. (a) Vertical distributions of NRB; (b) gradient of NRB; (c) relative increase of NRB
    Fig. 2. Characteristics of NRB on cloudy at 17:32 UTC, 22 March 2004. (a) Vertical distributions of NRB; (b) gradient of NRB; (c) relative increase of NRB
    Profile of NRB gradient after processed by interval thresholding technique
    Fig. 3. Profile of NRB gradient after processed by interval thresholding technique
    Clustering effects under different clusters to profile of NRB. (a) k =3; (b) k =4; (c) k =5; (d) k =6
    Fig. 4. Clustering effects under different clusters to profile of NRB. (a) k =3; (b) k =4; (c) k =5; (d) k =6
    ABLH estimated by different methods on clear sky conditions on 31 March 2004
    Fig. 5. ABLH estimated by different methods on clear sky conditions on 31 March 2004
    ABLH estimated by different methods on polluted conditions on 17 May 2002
    Fig. 6. ABLH estimated by different methods on polluted conditions on 17 May 2002
    ABLH estimated by different methods on cloudy conditions on 22 March 2004
    Fig. 7. ABLH estimated by different methods on cloudy conditions on 22 March 2004
    Comparisons between ABLH results determined by lidar-based methods and radiosonde on clear sky. (a) GM and RS; (b) WM and RS; (c) K-means and RS; (d) EK-means and RS
    Fig. 8. Comparisons between ABLH results determined by lidar-based methods and radiosonde on clear sky. (a) GM and RS; (b) WM and RS; (c) K-means and RS; (d) EK-means and RS
    Comparisons between ABLH results determined by lidar-based methods and radiosonde on cloudy or structure of the suspended aerosol layer. (a) GM and RS; (b) WM and RS; (c) K-means and RS; (d) EK-means and RS
    Fig. 9. Comparisons between ABLH results determined by lidar-based methods and radiosonde on cloudy or structure of the suspended aerosol layer. (a) GM and RS; (b) WM and RS; (c) K-means and RS; (d) EK-means and RS
    Atmospheric conditionMethodRMAE /kmMDAE /km
    Clear skyGM0.96220.11830.1018
    WM0.96670.11820.1033
    K-means0.95220.14040.1184
    EK-means0.97180.10590.0869
    CloudyGM0.42471.25731.1980
    WM0.44531.17571.1080
    K-means0.79860.22460.1544
    EK-means0.91750.13170.1155
    Table 1. Comparison of ABLH determined by lidar-based methods and radiosonde
    Zhenxing Liu, Jianhua Chang, Hongxu Li, Yuanyuan Meng, Mei Zhou, Tengfei Dai. A Highly Robust Atmospheric Boundary Layer Height Estimation Method Combining K-means and Entropy Weight Method[J]. Acta Optica Sinica, 2023, 43(12): 1228004
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