Spatio-temporal optimisation of agricultural drainage using groundwater models and genetic algorithms: an example from the Murray Irrigation Area,Australia |
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| Authors: | T Rana S Khan M Rahimi |
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| Institution: | (1) CSIRO Land and Water and Cooperative Research Centre for Irrigation Futures, P.O. Box 56, Darling Heights, QLD, 4350, Australia;(2) International Centre for WATER, Charles Sturt University, Locked Bag 588, Wagga Wagga, NSW, 2678, Australia;(3) AB-KHAK Tehran Consul. Eng. Iran, Karaj, P.O. Box 31585–4377, Tehran, Iran |
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| 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 agro-ecological 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 cost-effective operation of the tubewells to control water logging and
salinisation. |
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