Errors in Surface Irrigation Evaluation from Incorrect Model Assumptions
Publication: Journal of Irrigation and Drainage Engineering
Volume 135, Issue 5
Abstract
Some two-dozen methods have been proposed in the literature for estimating an infiltration function from field measurements. These methods vary in their data requirements and analytical rigor, however most assume some functional form of the infiltration equations. In this paper, if is shown that the form of infiltration and roughness equations can cause errors in the estimation of actual conditions. For example, assumptions regarding the influence of wetted perimeter on furrow infiltration can result in inappropriate infiltration equations and parameters. Also, the Manning has been shown to vary with time during an irrigation event as the soil is smoothed by the flowing water. Thus estimates of Manning based on the advance curve may vary substantially from those based on measured water depths. Inappropriate selection of equations or parameter values for infiltration or roughness can lead to unrealistic parameter values for the other. The estimated parameters from evaluation of a measured irrigation event usually give reasonable estimates of actual performance. However, extrapolation to future irrigation events, particularly with a different application depth or flow rate, can lead to inappropriate recommendations.
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Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 135 • Issue 5 • October 2009
Pages: 556 - 565
Copyright
© 2009 ASCE.
History
Received: Jun 11, 2008
Accepted: Feb 1, 2009
Published online: Feb 5, 2009
Published in print: Oct 2009
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