Comparison of Methods Predicting Advance Time in Furrow Irrigation

Author:

Kargas George1ORCID,Koka Dimitrios1ORCID,Londra Paraskevi A.1ORCID,Mindrinos Leonidas2ORCID

Affiliation:

1. Laboratory of Agricultural Hydraulics, Department of Natural Resources Development and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece

2. Laboratory of Mathematics and Theoretical Mechanics, Department of Natural Resources Development and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece

Abstract

In the design of furrow irrigation, and in general in surface irrigation, the reliable estimation of the advance time at the furrow end (tL) is a key issue for improving the efficiency and uniformity of irrigation. In this study, three methods are used for estimating the tL, and their results are compared with the experimental data of fifteen different furrows from the international literature. These methods are as follows: (a) the Valiantzas equation, (b) the method presented by Walker and Skogerboe, based on solving the volume balance equation by the Newton–Raphson iterative procedure and (c) the method of Philip and Farrell. The first two methods assume that the infiltration is described by the Lewis–Kostiakov equation and the extended Lewis–Kostiakov equation, respectively, while in the case of the Philip and Farrell method, the infiltration is described by the Philip equation and the Lewis-Kostiakov equation. The results showed that in most cases of the first two methods, the absolute relative error value of the predicted time tL was less than 10%. The Philip and Farrell method using the Lewis–Kostiakov infiltration equation underestimates the time tL and fails especially in the case where the volume of the surface water is not negligible compared to the total volume of water entering the system. The Valiantzas method is recommended because it was simpler and easier to use and showed greater prediction accuracy of tL, resulting in better planning of irrigation systems and contributing to water saving, which is currently a big issue.

Publisher

MDPI AG

Reference32 articles.

1. Development In Improved Surface Irrigation in China;Li;Irrig. Drain.,2020

2. Prediction of Surface Irrigation Advance Trajectories Using Soil Intake Properties;Or;Irrig. Sci.,1996

3. Walker, W.R., and Skogerboe, G.V. (1987). Surface Irrigation: Theory and Practice, Prentice-Hall, Inc.

4. Bautista, E., and Schlegel, J.L. (2019). WinSRFR 5.1—Software and User Manual, USDA-ARS Arid Land Agricultural Research Center.

5. Border-irrigation hydraulics with zero inertia;Strelkoff;J. Irrig. Drain. Div.,1977

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