Spatio-temporal optimisation of agricultural drainage using groundwater models and genetic algorithms: an example from the Murray Irrigation Area, Australia

Tariq Rana, Shahbaz Khan, M Rahimi

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Drainage schemes for salinity management are aimed at lowering the shallow groundwater to help increase production and reduce ecological risks. Once the groundwater levels are lowered to desired agroecological thresholds, the drainage scheme's operation needs to be optimised according to the spatio'temporal variation in groundwater dynamics. Groundwater systems can be modelled if their behaviour is fully known and understood but a key difficulty in optimisation is dealing with non-linear and non-unique spatio-temporal problems. Such problems can be optimised using genetic algorithms (GA) aimed at finding near optimal solutions to highly non-linear optimisation problems. The major advantages of GAs are their broad applicability, flexibility and their ability to find solutions with relatively modest computational requirements. A surface water/groundwater interaction model has been developed in conjunction with GA based spatio-temporal optimisation of pumping operation of a subsurface drainage scheme. The aim has been to achieve a similar or better than on-going level of service both in space and time domains. The Wakool Tullakool Subsurface Drainage Scheme in the Murray Irrigation Area, Australia is discussed to illustrate the modelling process. The model results are being used to plan the costeffective operation of the tubewells to control water logging and salinisation.
Original languageEnglish
Pages (from-to)1145-1157
Number of pages13
JournalHydrogeology Journal
Volume16
Issue number6
DOIs
Publication statusPublished - 2008

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