Evaluation of the Performance of Methods for Estimating the Coefficients of Kostiakov Infiltration Equation in Furrow Irrigation with Surge Flow

Authors

1 MSc. Student, Dept. of Water Sciences and Engineering, Faculty of Agriculture, University of Zanjan

2 Assist. Prof., Dept. of Water Sciences and Engineering, Faculty of Agriculture, University of Zanjan

3 Assoc. Prof., Dept. of Irrigation and Reclamation Engineering, College of Agriculture and Natural Resources, University of Tehran

Abstract

In order to increase the application efficiency and distribution uniformity in surface irrigation methods,some techniques such as the application of surge flow have been developed.One of the requirements for proper and efficient design of surge irrigation is to accurately determine the infiltration equation parameters.The purpose of the present study was to investigate the performance of three methods:Elliott and Walker two-point, Shepard one-point and nonlinear regression methods in estimating water infiltration in furrow irrigation with surge flow.For this purpose,the field evaluation data of three experimental furrow included two furrows under surge flow and a furrow with continuous flow were used.The length and spacing of the furrows was 150m and 0.75m,respectively.The soil texture was clay loam.The results showed that the one-point method had the lowest performance in estimating the infiltration in furrow with surge and continuous flow.On the other hand,the results of nonlinear regression and two point methods were acceptable and close to each other.The mean values of root mean square error index for the one-point, two-point and nonlinear regression methods in estimating the advance times under surge flow were 10.85, 2.52 and 2.46 min,respectively, and in furrows under continuous flow were 8.87, 6.57 and 4.77 min, respectively.Also, the values of mean relative error in estimating the volume of infiltrated water in the furrows with surge flow were 42.12, 3.51 and 4.79, respectively,and for continuous flow were 7.70, 6.33 and 2.53, respectively.Results indicated that, the nonlinear regression method performed better in estimating the infiltration of furrow irrigation under surge and continuous flows.

Keywords

References

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Water and Soil Science
Volume 32, Issue 4
December 2022
Pages 17-32

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