Verification and validation of Sirmod, WinSRFR, Furdev and Pozalmodels in Furrow Irrigation Systems Analysis
Furrow irrigation is the most common type of surface irrigation. Determination of the advance and recession time in the field requires the accurate measurement and that could be costly and time consuming. For this purpose, using the appropriate model can be useful. In this study, Sirmod, WinSRFR, Furdev and Pozal models are used to simulate the furrow irrigation. To evaluate these models, the results of field experiments in lighttextured, heavy-textured and medium-textured soils were utilized. The experiments have been performed in summer 1393 on Kerman University experimental farm in light-textured soil and in summer 1376on two experimental farms in Mashhad and Dezfoolin medium and heavy-textured soils. Using the mentioned models, advance time, recession time and infiltration depth were calculated and compared with the measured data. The results showed that Pozal model has the highest error. Also, Sirmod model has the highest accuracy in calculation of advance and recession time in light-textured soil. The errors are 0.344 and 0.53 percent for advance time and recession time, respectively. This model also has the highest precision in heavy-textured soil. Furdev model computations in advance and recession time at light-textured soil is less accurate than the other models. Based on the results, the WinSRFR model with 1.53 percent error has the lower error in the calculation of the infiltration depth in light-textured soils.
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