Empirical functions for dependent variables in cutback furrow irrigation

Article

Navabian, M., Liaghat, A. M., Smith, R. J. and Abbasi, F.. 2009. "Empirical functions for dependent variables in cutback furrow irrigation." Irrigation Science. 27 (3), pp. 215-222. https://doi.org/10.1007/s00271-008-0138-8
Article Title

Empirical functions for dependent variables in cutback furrow irrigation

ERA Journal ID3502
Article CategoryArticle
AuthorsNavabian, M. (Author), Liaghat, A. M. (Author), Smith, R. J. (Author) and Abbasi, F. (Author)
Journal TitleIrrigation Science
Journal Citation27 (3), pp. 215-222
Number of Pages8
Year2009
Place of PublicationBerlin, Germany
ISSN0342-7188
1432-1319
Digital Object Identifier (DOI)https://doi.org/10.1007/s00271-008-0138-8
Abstract

Water scarcity and the high consumption of water resources in agriculture have strengthened the need to manage and optimize irrigation systems. Among surface irrigation systems, furrow irrigation with cutback is commonly used because of its potentially higher irrigation efficiency, lower costs and relative simplicity. The performance of this system is affected by various management and design variables, and hence different management scenarios should be evaluated before it is applied in practice.
For this purpose, empirical functions for the performance evaluation indices are useful. This paper employs sensitivity, dimensional and regression analyses in the development of empirical functions for application efficiency, deep percolation, runoff and distribution uniformity.
The proposed functions were evaluated using a numerical zero-inertia model and field measured data. Coefficients of determination for Ea, Dr, Rr and Ucc were calculated to be 0.90, 0.91, 0.90 and 0.84, respectively. These values indicate that the proposed functions enable the performance indices to be predicted satisfactorily. Values for the indices calculated using the developed dimensionless functions showed a very good agreement with both the outputs of the zero-inertia model and values calculated from measured field data. As the functions were general (not site and irrigation specific) and explicit, they could prove to be of practical significance in both conventional and optimal design and management of free draining, graded furrow irrigation systems with cutback flows.

Keywordsfurrow irrigation; surface irrigation simulation models; cutback regime
ANZSRC Field of Research 2020370704. Surface water hydrology
409901. Agricultural engineering
300201. Agricultural hydrology
Public Notes

© 2008 Springer-Verlag.
Awaiting Author's version which may be deposited in accordance with the copyright policy of the publisher.

Byline AffiliationsUniversity of Tehran, Iran
National Centre for Engineering in Agriculture
Agricultural Engineering Research Institute, Iran
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Gillies, Malcolm H., Smith, R. J. and Raine, Steven R.. 2006. "Is it possible to extract infiltration rates for variable inflow furrow irrigation?" Irrigation Australia 2006: Irrigation Association of Australia National Conference and Exhibition. Brisbane, Australia 09 - 11 May 2006 Hornsby, NSW, Australia.
Process studies of odour emissions from effluent ponds using machine-based odour measurement
Sohn, Jae Ho, Smith, R. J. and Yoong, Ernest. 2006. "Process studies of odour emissions from effluent ponds using machine-based odour measurement." Atmospheric Environment. 40 (7), pp. 1230-1241. https://doi.org/10.1016/j.atmosenv.2005.10.035
Evaluation of methods for determining infiltration parameters from irrigation advance data
Khatri, K. L. and Smith, R. J.. 2005. "Evaluation of methods for determining infiltration parameters from irrigation advance data." Irrigation and Drainage. 54 (4), pp. 467-482. https://doi.org/10.1002/ird.198