Technical Papers
Jun 8, 2016

Approximate Furrow Infiltration Model for Time-Variable Ponding Depth

Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 11

Abstract

A methodology is proposed for estimating furrow infiltration under time-variable ponding depth. The methodology approximates the solution to the two-dimensional Richards equation, and is a modification of a procedure that was originally proposed for computing infiltration under constant ponding depth. Two computational approaches were developed and tested using several combinations of soil hydraulic properties, furrow geometry, and flow depth variations. Both methods yielded solutions of reasonable and similar accuracy relative to numerical solutions of the two-dimensional Richards equation. The analysis also showed that the accuracy of the approximate model varies mostly as a function of soil hydraulic properties. The accuracy of the approximate solution can be improved with calibration. Two calibration methods were examined, one assuming that the calibration parameter varies with depth, and the other assuming a constant value. The analysis showed that latter approach, in combination with one of the proposed computational methods, reproduced the Richards equation solution more accurately. This means that a unique calibration parameter can be developed for the particular soil and geometric configuration conditions, and applied to different patterns of ponding depth variation.

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 142Issue 11November 2016

History

Received: Sep 28, 2015
Accepted: Feb 29, 2016
Published online: Jun 8, 2016
Published in print: Nov 1, 2016
Discussion open until: Nov 8, 2016

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Authors

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E. Bautista, A.M.ASCE [email protected]
Research Hydraulic Engineer, U.S. Arid Land Agricultural Research Center, USDA-ARS, 21881N, Cardon Ln., Maricopa, AZ 85138 (corresponding author). E-mail: [email protected]
A. W. Warrick [email protected]
Professor Emeritus, Dept. of Soil, Water and Environmental Sciences, Univ. of Arizona, Tucson, AZ 85721. E-mail: [email protected]
J. L. Schlegel [email protected]
Information Technology Specialist, U.S. Arid Land Agricultural Research Center, USDA-ARS, 21881N, Cardon Ln., Maricopa, AZ 85138. E-mail: [email protected]
K. R. Thorp [email protected]
Research Agricultural Engineer, U.S. Arid Land Agricultural Research Center, USDA-ARS, 21881N, Cardon Ln., Maricopa, AZ 85138. E-mail: [email protected]
D. J. Hunsaker [email protected]
Research Agricultural Engineer, U.S. Arid Land Agricultural Research Center, USDA-ARS, 21881N, Cardon Ln., Maricopa, AZ 85138. E-mail: [email protected]

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