Infrared and Laser Engineering, Volume. 52, Issue 9, 20230030(2023)

Field prototype for rapid classification of suspended particles in water based on polarized light scattering and fluorescence measurement

Zhihang Xiong1,2, Haoji Mai1, Zhuangfan Huang1, Jingteng Li1, Peitao Sun1, Jialin Wang1, Yongtao Xie1, Zixi He1, Yaguang Zeng1, Hongjian Wang2, Zhiming Guo2, Ran Liao2,3、*, and Hui Ma2,3
Author Affiliations
  • 1School of Physics and Optoelectronic Engineering, Foshan University, Foshan 528000, China
  • 2Institute for Ocean Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
  • 3Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
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    Figures & Tables(9)
    (a) Optical path diagram; (b) Prototype photo
    Signal processing. (a) Raw data; (b) Pulse selection
    (a) Location of the Yamen Waterway where the SPC was deployed with WQA; (b) Water sampler and WQA; (c) Experimenter operated the SPC on the cabin
    Confusion matrix of the classifier
    Classification results of suspended particles in water of Yamen Waterway by the prototype. (a) Number and proportion of particles in different water layers; (b)-(d) \begin{document}$ {N}_{5 s} $\end{document}, \begin{document}$ {N}_{5 p} $\end{document} and \begin{document}$ {N}_{5 a} $\end{document} varied with time in different water layers
    Comparison between SPC data and WQA data. (a)-(c) \begin{document}$ {N}_{5 a} $\end{document}, \begin{document}$ Chla $\end{document} and \begin{document}$ Pe $\end{document} varied with time in different water layers; (d)-(f) \begin{document}$ {Len}_{5 s}^{2} $\end{document} and \begin{document}$ T $\end{document} varied with time in different water layers
    (a) Mie scattering coordinate system; (b) Variation of polarization parameters of different particles with size; (c) Polarization parameter distribution of SiO2 and PP
    • Table 1. Accuracy, precision and recall of each category

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      Table 1. Accuracy, precision and recall of each category

      SedimentMicroplasticMicroalgacMean
      Accurancy96.2%96.1%98.7%97%
      Precision93.3%94.9%98.3%95.5%
      Recall95.3%93.3%97.9%95.5%
    • Table 2. Pearson correlation coefficient of SPC data and WQA data

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      Table 2. Pearson correlation coefficient of SPC data and WQA data

      VariablesSurfaceMiddleBottom
      N5a and Chla0.809 40.806 40.599 9
      N5a and Pe0.839 10.806 90.582 5
      $ {Len}_{5 s}^{2} $ and T0.044 10.946 00.964 7
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    Zhihang Xiong, Haoji Mai, Zhuangfan Huang, Jingteng Li, Peitao Sun, Jialin Wang, Yongtao Xie, Zixi He, Yaguang Zeng, Hongjian Wang, Zhiming Guo, Ran Liao, Hui Ma. Field prototype for rapid classification of suspended particles in water based on polarized light scattering and fluorescence measurement[J]. Infrared and Laser Engineering, 2023, 52(9): 20230030

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    Paper Information

    Category: Photoelectric measurement

    Received: Jan. 14, 2023

    Accepted: --

    Published Online: Oct. 23, 2023

    The Author Email:

    DOI:10.3788/IRLA20230030

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