Estimating the furrow infiltration characteristic from a single advance point

Langat, P. K. and Smith, R. J. and Raine, S. R. (2008) Estimating the furrow infiltration characteristic from a single advance point. Irrigation Science, 26 (5). pp. 367-374. ISSN 0342-7188

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Abstract

Management and control of surface irrigation, in particular furrow irrigation, is limited by spatio-temporal soil infiltration variability as well as the high cost and time associated with collecting intensive field data for estimation of the infiltration characteristics. Recent work has proposed scaling the commonly used infiltration function by using a model infiltration curve and a single advance point for every other furrow in an irrigation event. Scaling factors were calculated for a series of furrows at two sites and at four points down the length of the field (0.25 L, 0.5 L, 0.75 L and L). Differences in the value of the scaling factor with distance were found to be a function of the shape of the advance curves. It is concluded that use of points early in the advance results in a substantial loss of accuracy and should be avoided. The scaling factor was also strongly correlated with the furrow-wetted perimeter suggesting that the scaling is an appropriate way of both predicting and accommodating the effect of the hydraulic variability.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Deposited in accordance with the copyright policy of the publisher. Author's Original version, as made available here, differs in title from the Published version. Author's version title: Modeling the furrow irrigation infiltration function from a single advance point.
Depositing User: Assoc Prof Steven Raine
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 28 May 2009 07:24
Last Modified: 02 Jul 2013 23:10
Uncontrolled Keywords: surface irrigation; furrow irrigation; irrigation; hydraulic variability; computation theory; function evaluation; infiltration; mathematical models
Fields of Research (FOR2008): 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010399 Numerical and Computational Mathematics not elsewhere classified
07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070105 Agricultural Systems Analysis and Modelling
07 Agricultural and Veterinary Sciences > 0799 Other Agricultural and Veterinary Sciences > 079901 Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.)
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9609 Land and Water Management > 960905 Farmland, Arable Cropland and Permanent Cropland Water Management
Identification Number or DOI: doi: 10.1007/s00271-008-0102-7
URI: http://eprints.usq.edu.au/id/eprint/4669

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