Journal of Natural Resources, Volume. 35, Issue 6, 1472(2020)

Calculation of reference crop evapotranspiration in Shaanxi province based on ANFIS

Ke-li LI and Xin ZHANG*
Author Affiliations
  • College of Water Resources and Architectural Engineering, Northwest Agriculture and Forestry University, Yangling 712100, Shaanxi, China
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    Figures & Tables(5)
    Diagram showing ANFIS model structure
    • Table 1. Location of meteorological sites and mean value of meteorological factors

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      Table 1. Location of meteorological sites and mean value of meteorological factors

      站点纬度/(°)经度/(°)海拔
      高度/m
      平均值(1960—2016年)
      Tmax/℃Tmin/℃Tmean/℃n/hRH/%u2/(m·s-1)
      陕南安康32.72109.03290.821.0811.9416.514.6773.380.98
      汉中33.07107.03509.519.4611.1815.324.2978.930.81
      关中华县34.52109.73341.519.778.3114.045.4672.851.18
      太白34.03107.321543.614.722.838.785.4670.581.72
      陕北延安36.58109.451180.517.424.4210.926.8459.981.30
      榆林38.27109.781157.015.692.429.057.6654.901.69
    • Table 2. Accuracy of ANFIS model under different meteorological factors

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      Table 2. Accuracy of ANFIS model under different meteorological factors

      模型气象因子R2RMSE/(mm·d)MRE/%
      安康汉中华县太白延安榆林安康汉中华县太白延安榆林安康汉中华县太白延安榆林
      ANFIS 1TmaxTmin0.9340.9250.8650.8530.9030.8840.4260.4260.6660.5620.5390.72813.31213.03724.71122.91715.01020.559
      ANFIS 2TmaxTminn0.9810.9890.9550.9620.9560.9210.2230.1610.3630.2810.3600.6098.4346.12313.85013.01010.71616.644
      ANFIS 3TmaxTminRH0.9480.9350.9190.9210.9460.9410.3750.4180.5110.4970.4000.48910.83812.20816.73318.44212.13512.140
      ANFIS 4TmaxTminu20.9440.9270.8950.9020.9350.9030.3910.4290.570.4370.4500.67711.17012.74318.79914.35912.75518.910
      ANFIS 5TmaxTminnu20.9900.9960.980.9730.9770.9720.1660.0930.2370.3030.2740.3495.5913.5148.55311.5898.5869.087
      ANFIS 6TmaxTminRHn0.9910.9920.9840.9800.9820.9590.1560.1340.2220.2240.2380.4415.7625.2107.7628.1997.81712.945
      ANFIS 7TmaxTminRHu20.9580.9380.9310.9370.9670.9660.3400.4110.4580.3620.3120.3698.66811.33613.58912.2217.9319.148
      ANFIS 8TmaxTminRHnu20.9980.9990.9950.9890.9970.9950.0770.0580.1130.1600.1060.1412.7842.1684.7776.2313.4564.633
    • Table 3. Comparison of accuracy between ANFIS model and other models

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      Table 3. Comparison of accuracy between ANFIS model and other models

      模型气象因子R2RMSE/(mm·d)MRE/%
      安康汉中华县太白延安榆林安康汉中华县太白延安榆林安康汉中华县太白延安榆林
      ANFIS 1TmaxTmin0.9340.9250.8650.8530.9030.8840.4260.4260.6660.5620.5390.72813.31213.03724.71122.91715.01020.559
      HS0.9160.9250.8840.8490.8480.8450.8370.7500.7390.8000.8070.77028.93531.46325.93527.28926.60024.194
      ANFIS 2TmaxTminn0.9810.9890.9550.9620.9560.9210.2230.1610.3630.2810.3600.6098.4346.12313.85013.01010.71616.644
      Makkink0.9480.9600.9220.9430.9290.8850.6320.5310.4460.4630.7371.02721.40520.40023.33817.93121.51723.193
      Iramk0.9550.9600.9330.9340.9200.8850.4030.3770.5350.3870.5320.78718.76120.59518.86519.38918.12523.800
    • Table 4. Portability results of ANFIS models between different sites in Shaanxi province

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      Table 4. Portability results of ANFIS models between different sites in Shaanxi province

      模型训练站点预报站点R2RMSE/(mm·d)MRE/%
      ANFIS 5安康汉中0.9920.1345.210
      华县0.9800.2439.925
      华县太白0.9820.2228.532
      汉中0.9910.1546.177
      延安榆林0.9570.44013.920
      华县0.9780.26812.243
      ANFIS 6汉中安康0.9940.1263.843
      太白0.9830.2479.995
      太白华县0.9720.45414.965
      安康0.9740.48919.064
      榆林延安0.9720.33010.001
      ANFIS 7安康汉中0.9420.37210.139
      华县0.9250.51014.554
      华县太白0.9400.34710.518
      汉中0.9300.40611.153
      延安榆林0.9600.41310.146
      华县0.9290.49214.48
      ANFIS 8汉中安康0.9970.0952.890
      太白0.9940.1415.545
      太白华县0.9900.2528.885
      安康0.9920.28911.182
      榆林延安0.9950.1254.241
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    Ke-li LI, Xin ZHANG. Calculation of reference crop evapotranspiration in Shaanxi province based on ANFIS[J]. Journal of Natural Resources, 2020, 35(6): 1472

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    Paper Information

    Received: Apr. 11, 2019

    Accepted: --

    Published Online: Oct. 17, 2020

    The Author Email: ZHANG Xin (zhxin@nwsuaf.edu.cn)

    DOI:10.31497/zrzyxb.20200618

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