A computer model to estimate seepage rates from automated irrigation distribution channels during periods of shutdown

Moavenshahidi, A. and Smith, R. and Gillies, M. (2014) A computer model to estimate seepage rates from automated irrigation distribution channels during periods of shutdown. Journal of Hydroinformatics, 16 (6). pp. 1302-1317. ISSN 1464-7141

Abstract

Within the last 10 years throughout south-eastern Australia, there has been a rapid expansion of modernisation efforts by irrigation companies that has included installation of automatic control structures, the so-called total channel control (TCC) technology. TCC includes supervisory control and data acquisition technology, which results in production of integrated databases utilising real time measurements of flow and water depth throughout the whole system. Pondage tests are acknowledged as the best direct method for seepage measurement and the recorded water level data from automated systems during periods of gate closure can be treated as pondage test data. This paper presents the development and operation of a new computer model that applies pondage test methodology to automated channel control data during periods of shut down in order to estimate seepage rates in different channel reaches. The Coleambally Irrigation Area (CIA) in southern New South Wales was chosen as the case study, as it is one of the first irrigation districts in the world to be automated. The methodology was tested using the TCC data of the entire CIA during the 2010–11 season and was demonstrated to be successful in identifying all pondage conditions throughout the entire network as well as estimating the seepage rates for each gauge, pondage and pool.


Statistics for USQ ePrint 26660
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © IWA Publishing 2014. Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 28 Jan 2015 04:23
Last Modified: 07 Jul 2016 06:28
Uncontrolled Keywords: Coleambally irrigation; irrigation channels; pondage test; seepage estimation; total channel control
Fields of Research : 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040608 Surfacewater Hydrology
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: D Environment > 96 Environment > 9609 Land and Water Management > 960913 Water Allocation and Quantification
Identification Number or DOI: 10.2166/hydro.2014.104
URI: http://eprints.usq.edu.au/id/eprint/26660

Actions (login required)

View Item Archive Repository Staff Only