Technical Papers
Aug 29, 2020

Modeling Solute Transport in the WinSRFR Surface Irrigation Software

Publication: Journal of Irrigation and Drainage Engineering
Volume 146, Issue 11

Abstract

A solute transport model has been added to the WinSRFR surface irrigation software package. The model uses advective-dispersive principles to predict the flow of solute with the irrigation stream and its final longitudinal distribution along the field based on water flow predictions generated by the simulation engine. Computations are based on the fractional stepping method: advection is computed using the method of characteristics from the velocity field computed by the simulation engine water flow calculations, and dispersion is calculated from the advection results using a centered-difference finite-difference scheme. The Akima interpolation scheme was used to build the method-of-characteristics solution. The computations are robust and execute in little time. The accuracy of the model was evaluated with numerical tests and by comparison with field measurements. Results suggest that the model can generate useful predictions under typical irrigation conditions.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. The WinSRFR 5.1 software is available for public download at https://www.ars.usda.gov/research/software/?modeCode=20-20-05-15.

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 146Issue 11November 2020

History

Received: Feb 24, 2020
Accepted: Jun 17, 2020
Published online: Aug 29, 2020
Published in print: Nov 1, 2020
Discussion open until: Jan 29, 2021

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Authors

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Research Hydraulic Engineer, USDA-ARS US Arid Land Agricultural Research Center, 21881 N. Cardon Ln., Maricopa, AZ 85138 (corresponding author). ORCID: https://orcid.org/0000-0001-9498-1126. Email: [email protected]
James L. Schlegel [email protected]
Information Technology Specialist, USDA-ARS US Arid Land Agricultural Research Center, 21881 N. Cardon Ln., Maricopa, AZ 85138. Email: [email protected]

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