Comparison of Two SIRMOD and WinSRFR Software with Different Permeability Estimation Methods for Furrow Irrigation Design and Management

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

In this research, to evaluate the Zero inertia model in SIRMOD and WinSRFR software, data from the advance time, recession time and runoff volume were obtained from conventional furrow irrigation (CFI), fixed alternative furrow irrigation (FFI) and alternate furrow irrigation (AFI). The simulation results were used with the help of the relative error index (RE) for the infiltrated water volume and the root means square error (RMSE) index for prediction of advance and recession time. To determine soil permeability coefficients were used of the model SIPAR-ID, Multi-level optimization, Two-point method of Elliott-Walker and IPARM. The results of the CFI method in SIRMOD software, the Elliott-Walker two-point method with RMSE equal to 1.81 and in the WinSRFR software, the multi-level optimization model with RMSE equal to 1.66 The results had the highest accuracy in predicting advance times. The simulation of the advance and recession time of the FFI method indicated that the best value of the RMSE index for using the SIPAR-ID model in SIRMOD and WinSRFR software was 2.42 and 2.41 minutes, respectively. The results showed that in the AFI method, using the IPARM model in SIRMOD software and the multi-level optimization model with WinSRFR software, the best accuracy was achieved with RMSE 1.61 and 1.24 min, respectively, at advance times, respectively. As a general result, it can be stated that according to the similar prediction of two SIRMOD and WinSRFR software, it is recommended to simulate, design and evaluate irrigation systems in the case of accurate estimation of influence coefficients.

Language:
Persian
Published:
Water Management in Agriculture, Volume:6 Issue: 2, 2020
Pages:
93 to 104
https://www.magiran.com/p2102815  
سامانه نویسندگان
  • Pourgholam Amiji، Masoud
    Corresponding Author (3)
    Pourgholam Amiji, Masoud
    .Ph.D Department of Irrigation and Reclamation Engineering, University of Tehran, تهران, Iran
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