Acta Optica Sinica, Volume. 44, Issue 12, 1230003(2024)

COD Detection Method of Water Quality Based on Multi-Source Spectral Fusion

Binqiang Ye1,2, Changhong Chen2, Xuejie Cao2, Hong Liu2, Bin Tang2、*, Dong Li1, and Peng Feng3、**
Author Affiliations
  • 1School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, China
  • 2School of Artificial Intelligence, Chongqing University of Technology, Chongqing 400054, China
  • 3Key Laboratory of Optoelectronic Technology and Systems of Ministry of Education, Chongqing University, Chongqing 400044, China
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    Figures & Tables(12)
    Convolutional network structure diagram for fusion of 3D-EEM data and UV-Vis absorption spectral data
    Mask assignment of 3D-EEM and UV-Vis spectra. (a) Mask assignment for 3D-EEM; (b) mask assignment for UV-Vis absorption spectra
    Acquisition of the attention position of the network
    Experimental platform of 3D-EEM and UV-Vis spectra
    Thermal maps of 3D-EEM and corresponding 3D-EEM feature attention matrix. (a) 3D-EEM data; (b) thermal maps of 3D-EEM feature attention matrix
    Attention vector splicing matrix thermal map of UV-Vis spectrum characteristics and UV-Vis spectrum data. (a) Thermal map of attention vector stitching matrix for UV-Vis spectrum characteristics; (b) UV-Vis spectrum data
    Correlation diagrams of COD predicted value and true value. (a) Ten-fold cross-validation results; (b) leave-one-out (LOO) results
    • Table 1. Network structure parameters of 3D-EEM module

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      Table 1. Network structure parameters of 3D-EEM module

      ModuleIn channelnumberOut channelnumberKernelStridePadding
      CBG1301150110
      CBG215075321
      CBG37532321
      CBG43216321
      CBG5168321
    • Table 2. Network structure parameters of UV-Vis module

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      Table 2. Network structure parameters of UV-Vis module

      ModuleIn channelnumberOut channelnumberKernelStridePadding
      CBG118110
      CBGM1816321
      CBGM21632321
      CBGM33216321
      CBGM4168321
      CBG284321
      CBG341221
    • Table 3. Combination features selected by CNN-PLS

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      Table 3. Combination features selected by CNN-PLS

      Feature pointPosition
      203.141257.547264.089294.392299.509
      307.875429.555435.953445.997448.734
      460.582496.918505.069514.114521.342
      UV-Vis feature point521.793544.332550.63599.917600.809
      601.256676.274688.181694.347696.107
      720.704725.962726.400755.679805.616
      824.6151089.6001090.0111100.280
      3D-EEM feature point λex/λem405/375335/384350/441355/441370/486
      498/500511/435512/440
    • Table 4. Comparison of the effects of four modeling methods on different spectral types

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      Table 4. Comparison of the effects of four modeling methods on different spectral types

      MethodDataRMSE(LOO)RMSE(10-fold)R2(LOO)R2(10-fold)
      PLSUV-Vis2.84004.63000.99940.9989
      EEM27.990054.22000.92700.8869
      EEM+UV-Vis3.97906.64410.99890.9977
      SVRUV3.44114.09170.99910.9990
      EEM46.210059.80000.82140.7928
      EEM+UV-Vis3.33394.04140.99920.9991
      IPLSUV2.13513.15090.99960.9994
      EEM18.369031.63810.97310.9493
      EEM+UV-Vis2.28154.07000.99960.9991
      OursEEM+UV-Vis0.98751.43980.99990.9999
    • Table 5. Comparison of the effects of four modeling methods on test sets

      View table

      Table 5. Comparison of the effects of four modeling methods on test sets

      MethodDataRMSER2
      PLSEEM+UV-Vis13.0290.9917
      IPLSEEM+UV-Vis9.5990.9955
      SVREEM+UV-Vis14.2940.9900
      OursEEM+UV-Vis8.6100.9964
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    Binqiang Ye, Changhong Chen, Xuejie Cao, Hong Liu, Bin Tang, Dong Li, Peng Feng. COD Detection Method of Water Quality Based on Multi-Source Spectral Fusion[J]. Acta Optica Sinica, 2024, 44(12): 1230003

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    Paper Information

    Category: Spectroscopy

    Received: Oct. 16, 2023

    Accepted: Dec. 25, 2023

    Published Online: Jun. 12, 2024

    The Author Email: Tang Bin (tangbin@cqut.edu.cn), Feng Peng (coe-fp@cqu.edu.cn)

    DOI:10.3788/AOS231661

    CSTR:32393.14.AOS231661

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