• Journal of Natural Resources
  • Vol. 35, Issue 6, 1472 (2020)
Ke-li LI and Xin ZHANG*
Author Affiliations
  • College of Water Resources and Architectural Engineering, Northwest Agriculture and Forestry University, Yangling 712100, Shaanxi, China
  • show less
    DOI: 10.31497/zrzyxb.20200618 Cite this Article
    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 Copy Citation Text show less

    Abstract

    To effectively improve the prediction accuracy of reference crop evapotranspiration (ET0) in Shaanxi province, eight ET0 calculation models based on the ANFIS were constructed. The data used are obtained from 6 meteorological stations in Shaanxi province. The ET0 calculated by FAO 56 P-M was taken as a standard value. ANFIS was compared with three models, namely, Hargreaves-Samani, Iramk and Makkink. The results show that the ANFIS model can better reflect the complex linear relationship between meteorological factors and ET0. When only the temperature data can be used, the ANFIS model has sufficient accuracy (R2=0.894, RMSE=0.558 mm/d, MRE=18.258%), with the increase of meteorological factors, the accuracy of ANFIS model is improved. The simulation accuracy of ANFIS model is higher than that of Hargreaves-Samani, Iramk and Makkink models under the same input condition. The analysis shows that the ANFIS model has strong generalization ability in the province, and it has higher accuracy based on different sites (R2=0.974, RMSE=0.276 mm/d, MRE=8.608%). Therefore, the ANFIS model can be used as a recommended model for the calculation of ET0 in Shaanxi in the absence of meteorological data, and has good portability, which can provide a scientific basis for agricultural water management and optimal allocation of water resources.
    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
    Download Citation