Acta Optica Sinica, Volume. 43, Issue 24, 2401009(2023)

Fuzzy Comprehensive Evaluation of Historical Lidar Ratio Data

Xianzhe Hu1,2, Dong Liu1,2,3,4、*, Da Xiao1, Kai Zhang1, Lei Bi5, Jingxin Zhang1, Weize Li1, Xiaotao Li1, Jiesong Deng1, Yudi Zhou1,6, Qun Liu1,6, Lan Wu1, Chong Liu1, Xueping Wan7, Wentai Chen7, Xiaolong Chen7, and Jianfeng Zhou7
Author Affiliations
  • 1State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, Zhejiang , China
  • 2Donghai Laboratory, Zhoushan 316021, Zhejiang , China
  • 3ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, Zhejiang , China
  • 4Jiaxing Research Institute, Zhejiang University, Jiaxing 314000, Zhejiang , China
  • 5Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou 310027, Zhejiang , China
  • 6Ningbo Innovation Center, Zhejiang University, Ningbo 315100, Zhejiang , China
  • 7Wuxi Zhongke Optoelectronic Technology Co., Ltd., Wuxi 214135, Jiangsu , China
  • show less
    Figures & Tables(10)
    Schematic diagram of the confidence level analysis of historical aerosol lidar ratio data
    Historical literature data distribution of various aerosol lidar ratios
    Confidence level distribution and its Gaussian fitting curves of historical aerosol lidar ratio data
    Distribution box diagrams of confidence level of historical aerosol lidar ratio data at different wavelengths. (a) 355 nm; (b) 532 nm
    Distribution box diagrams of confidence level of historical lidar ratio data for Asian dust, Middle Eastern dust, and Saharan dust aerosols at different wavelengths. (a) 355 nm; (b) 532 nm
    Comparison box plot of confidence level of historical lidar ratio data (thick line) and simulation data (thin line)
    Distribution of the results of all weight combinations satisfying the conditions of the fuzzy comprehensive evaluation method. (a) Distribution of weight combinations that meet importance ranking; (b) variation of the product of the weight vector covariance σ and the proportion of the box interval q at 355 nm wavelength for different types of aerosols with weight selection; (c) variation of the product of the weight vector covariance σ and the proportion of the box interval q at 532 nm wavelength for different types of aerosols with weight selection
    • Table 1. VR.I. with different matrix order n

      View table

      Table 1. VR.I. with different matrix order n

      n12345678910
      VR.I.000.510.891.121.251.351.421.461.49
    • Table 2. Evaluation index judgment matrix of historical data credibility

      View table

      Table 2. Evaluation index judgment matrix of historical data credibility

      Evaluation indicatorRepresentativenessReliabilityInfluence
      Representativeness123
      Reliability1/212
      Influence1/31/21
    • Table 3. High confidence level ranges of lidar ratios for all types of aerosols (the median value is in parentheses)

      View table

      Table 3. High confidence level ranges of lidar ratios for all types of aerosols (the median value is in parentheses)

      Type of aerosol355 nm /sr532 nm /sr
      Dust43-57(49)42-58(50)
      Asian dust39-54(47)41-51(46)
      Middle Eastern dust41-45(43)38-42(40)
      Saharan dust47-59(53)47-60(53)
      Dusty mix46-62(54)45-61(53)
      Volcanic52-68(58)55-77(65)
      Marine22-33(28)18-24(20)
      Smoke52-80(64)53-78(68)
      Urban43-64(54)48-66(56)
    Tools

    Get Citation

    Copy Citation Text

    Xianzhe Hu, Dong Liu, Da Xiao, Kai Zhang, Lei Bi, Jingxin Zhang, Weize Li, Xiaotao Li, Jiesong Deng, Yudi Zhou, Qun Liu, Lan Wu, Chong Liu, Xueping Wan, Wentai Chen, Xiaolong Chen, Jianfeng Zhou. Fuzzy Comprehensive Evaluation of Historical Lidar Ratio Data[J]. Acta Optica Sinica, 2023, 43(24): 2401009

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jun. 16, 2023

    Accepted: Aug. 11, 2023

    Published Online: Nov. 29, 2023

    The Author Email: Liu Dong (liudongopt@zju.edu.cn)

    DOI:10.3788/AOS231150

    Topics