• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 4, 1156 (2022)
Xue-ying LI1、*, Zong-min LI3、3; *;, Guang-yuan CHEN4、4;, Hui-min QIU2、2;, Guang-li HOU2、2;, and Ping-ping FAN2、2; *;
Author Affiliations
  • 11. School of Geosciences, China University of Petroleum (Huadong), Qingdao 266580, China
  • 22. Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266061, China
  • 33. College of Computer Science and Technology, China University of Petroleum (Huadong), Qingdao 266580, China
  • 44. College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
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    DOI: 10.3964/j.issn.1000-0593(2022)04-1156-06 Cite this Article
    Xue-ying LI, Zong-min LI, Guang-yuan CHEN, Hui-min QIU, Guang-li HOU, Ping-ping FAN. Prediction of Tidal Flat Sediment Moisture Content Based on Wavelet Transform[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1156 Copy Citation Text show less
    Scatter plot of the measured against predicted moisture content using original spectra of tidal flat sediments(a): Modeling set; (b): Prediction set
    Fig. 1. Scatter plot of the measured against predicted moisture content using original spectra of tidal flat sediments
    (a): Modeling set; (b): Prediction set
    Low and high frequency information spectrograms of tidal flat sediment based on discrete wavelet transform (db10 wavelet basis)
    Fig. 2. Low and high frequency information spectrograms of tidal flat sediment based on discrete wavelet transform (db10 wavelet basis)
    Modeling results of low and high frequency informations of sediment based on sym6 wavelet
    Fig. 3. Modeling results of low and high frequency informations of sediment based on sym6 wavelet
    样品种类样品个数最大值最小值平均值标准差
    新鲜样品15563.5743.4254.772.87
    风干4周15555.4131.7647.823.61
    风干8周15547.3218.8138.235.09
    所有样品46563.5718.8146.947.86
    Table 1. The statistical results of moisture content (%) of tidal flat sediments
    nAnDn
    Rp2RMSEPRPDRp2RMSEPRPD
    10.8302.8822.3880.6294.5401.532
    20.8182.9602.3210.5724.9171.408
    30.8202.9522.3350.5724.9491.405
    40.8372.8362.4540.2946.1551.132
    50.8272.9392.3760.4675.4211.313
    60.8173.0392.2980.5724.6451.495
    70.7793.3402.0830.7023.9861.792
    80.7833.2912.0980.7283.7151.908
    90.7493.5631.9490.7283.7311.889
    100.8093.1182.2670.6234.1811.616
    Table 2. Modeling results of low and high frequency informations of sediment based on db10 wavelet
    尺度参数建模集预测集
    Rc2RMSECRp2RMSEPRPD
    S-D10.8713.1270.8292.8822.388
    S-D20.9182.4890.8532.6582.586
    S-D30.9282.3480.8702.5002.742
    S-D40.9272.3650.8732.4952.748
    S-D50.8872.9270.8502.6992.541
    S-D60.8793.0350.8452.7202.521
    S-D70.8813.0050.8382.7992.456
    S-D80.8463.3920.8342.8962.405
    S-D90.9242.4080.8412.7742.466
    S-D100.8663.1920.8352.8042.459
    S-D3-D40.9242.3970.8782.5012.749
    Table 3. Modeling results of S-Dn spectral information of tidal flat sediment based on db10 wavelet
    尺度参数建模集预测集
    Rc2RMSECRp2RMSEPRPD
    S-D10.9002.7580.8322.9132.356
    S-D20.7834.0610.8462.9072.365
    S-D30.8743.0890.8402.7642.489
    S-D40.8842.9730.8482.7142.531
    S-D50.9282.3320.8672.5422.702
    S-D60.8803.0180.8482.7082.540
    S-D70.8583.2710.8402.7782.484
    S-D80.9242.3980.8642.5622.686
    S-D90.9212.4560.8692.4972.755
    S-D100.9072.6330.8452.7282.546
    S-D5-D90.9202.4730.8702.4752.768
    Table 4. Modeling results of S-Dn spectral information of tidal flat sediment based on sym6 wavelet
    Xue-ying LI, Zong-min LI, Guang-yuan CHEN, Hui-min QIU, Guang-li HOU, Ping-ping FAN. Prediction of Tidal Flat Sediment Moisture Content Based on Wavelet Transform[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1156
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