Technical Notes
Jul 18, 2016

Effect of Infiltration Modeling Approach on Operational Solutions for Furrow Irrigation

Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 12

Abstract

Infiltration in irrigated furrows depends on the variation of depth of flow and, thus, wetted perimeter along the field and in time. However, the magnitude of the wetted perimeter effect has not been clearly established due to soil variability, erosion and deposition, macropore flow, and other processes that affect the infiltration process. Hence, furrow irrigation models currently offer various alternatives, mostly empirical but some physical, for modeling the infiltration process as a function of wetted perimeter. In principle, the selected modeling approach can have a significant impact on the predicted performance. This is of particular importance for operation and design analyses cases in which performance is examined, respectively, over a wide range of inflow rates and physical configurations. A simulation study was conducted to examine the operational solutions that can be developed with different furrow infiltration models. The analysis was based on the modeling options offered by a software package developed by U.S. Department of Agriculture-Agricultural Research Service (USDA-ARS). The analysis was conducted under the assumption that the true infiltration characteristics of the example furrow were given by a semiphysically based infiltration model. Performance contours and operational solutions were developed for a free draining and blocked furrow. Results show that operational solutions can be very sensitive to the infiltration modeling approach with a free draining system, but less sensitive with blocked systems.

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References

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 142Issue 12December 2016

History

Received: Oct 4, 2015
Accepted: Apr 25, 2016
Published online: Jul 18, 2016
Published in print: Dec 1, 2016
Discussion open until: Dec 18, 2016

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Authors

Affiliations

Eduardo Bautista, A.M.ASCE [email protected]
Research Hydraulic Engineer, USDA-ARS. U.S. Arid Land Agricultural Research Center, 21881 N. Cardon Ln., Maricopa, AZ 85138. E-mail: [email protected]

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