Evaluating the performance of automated bay irrigation

Smith, R. J. and Uddin, J. M. and Gillies, M. H. and Moller, P. and Clurey, K. (2016) Evaluating the performance of automated bay irrigation. Irrigation Science, 34 (3). pp. 175-185. ISSN 0342-7188

Abstract

Previous evaluations of bay (or border check)
irrigation in northern Victoria have shown that higher irrigation flows offer very much improved (volumetric) application efficiencies, well above those currently achieved. However, having the correct irrigation duration (or time to cut-off) is critical in reaching those efficiencies. Automation of bay irrigation provides the needed precision in managing the shorter irrigation durations that result from the higher flows. Hence, the objective of the study was to demonstrate the application efficiencies achievable through the use of automated, high-flow bay irrigation. Nine existing automated farms were selected for the trial that together represent the range of soils, bay geometries, irrigation management, and crops typical of the region. A total of 46 irrigations
across the various sites were evaluated. Analysis
of each event included calibration of the surface irrigation
hydraulic simulation model SISCO from the measured flow
rate, advance and depth data, and simulation of each event
using SISCO to give the required performance parameters.
The results from the evaluations demonstrate that application efficiencies in excess of 90 % are indeed achievable and being achieved through correct and precise management of automated surface irrigation. The prime reason for lower efficiency on some farms was incorrect choice of irrigation duration, resulting in significant losses to tail-water run-off. For those farms, strategies to improve performance have been suggested.


Statistics for USQ ePrint 28929
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty / Department / School: No Faculty
Date Deposited: 01 Mar 2016 01:11
Last Modified: 05 Sep 2017 04:13
Fields of Research : 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070199 Agriculture, Land and Farm Management not elsewhere classified
Identification Number or DOI: 10.1007/s00271-016-0494-8
URI: http://eprints.usq.edu.au/id/eprint/28929

Actions (login required)

View Item Archive Repository Staff Only