Volume 23, Issue 1 (Spring 2019)                   jwss 2019, 23(1): 367-377 | Back to browse issues page

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Soroush F, Mostafazadeh-Fard B, Mousavi S F, Abbasi F. Comparison of Two-point and Two-Time Methods for Estimating the Infiltration Parameters in Meandering Furrow Irrigation. jwss 2019; 23 (1) :367-377
URL: http://jstnar.iut.ac.ir/article-1-3405-en.html
1. Department of Water Engineering, College of Agriculture, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran. , fatemeh_soroush60@yahoo.com
Abstract:   (6415 Views)
Infiltration is the most important characteristic in the design and management of any surface irrigation system. Since the hydraulic of flow in meandering furrows is different from the standard furrows, the accuracy of infiltration function parameter estimation methods should be examined for the optimal design and management of meandering furrow irrigation. The main objective of this study was to compare Elliot and Walker’s two-point and two-time methods for estimating the empirical infiltration function parameters of meandering furrow irrigation using four sets of field data. The estimated infiltration functions, as obtained by the two methods, were validated by performing the unsteady flow simulations and using the Slow-change/slow-flow (SC/SF) model. The results showed that Elliot and Walker prediction of the advance trajectories (with a mean RMSE of 0.68 minutes) was comparable to the two-time method (with an average RMSE of 0.66 min). The Nash–Sutcliffe efficiency coefficient for the simulated outflow hydrograph by the two-time and two-point methods was 0.89 and 0.50, respectively, indicating the excellent predictive power of the two-times method. In addition, the two-time method predicted the total volume of infiltration with the less relative error (-1.5%), in comparison to the two-point method (-47.2%). Therefore, the use of post-advance data (such as a two-time method) for infiltration function parameters estimation improves the flow simulation in the meandering furrows.

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Type of Study: Research | Subject: Ggeneral
Received: 2016/12/19 | Accepted: 2018/06/30 | Published: 2019/06/15

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