Empirical functions for dependent variables in cutback furrow irrigation

Navabian, M. and Liaghat, A. M. and Smith, R. J. and Abbasi, F. (2009) Empirical functions for dependent variables in cutback furrow irrigation. Irrigation Science, 27 (3). pp. 215-222. ISSN 0342-7188


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.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2008 Springer-Verlag. Awaiting Author's version which may be deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013)
Date Deposited: 31 Oct 2009 06:24
Last Modified: 10 Dec 2013 03:12
Uncontrolled Keywords: furrow irrigation; surface irrigation simulation models; cutback regime
Fields of Research (2008): 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040608 Surfacewater Hydrology
09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
07 Agricultural and Veterinary Sciences > 0799 Other Agricultural and Veterinary Sciences > 079901 Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.)
Fields of Research (2020): 37 EARTH SCIENCES > 3707 Hydrology > 370704 Surface water hydrology
40 ENGINEERING > 4099 Other engineering > 409901 Agricultural engineering
30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300201 Agricultural hydrology
Socio-Economic Objectives (2008): D Environment > 96 Environment > 9609 Land and Water Management > 960905 Farmland, Arable Cropland and Permanent Cropland Water Management
B Economic Development > 82 Plant Production and Plant Primary Products > 8298 Environmentally Sustainable Plant Production > 829805 Management of Water Consumption by Plant Production
Identification Number or DOI: https://doi.org/10.1007/s00271-008-0138-8
URI: http://eprints.usq.edu.au/id/eprint/5545

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