A model to determine optimal water management procedures for multi-variable irrigation systems
A model to determine optimal water management procedures for multi-variable irrigation systems
One of the major goals in the management and operation of an irrigation scheme is the efficient production, distribution and utilisation of water. If there is a limited water supply, in addition to the usual requirements for minimising water losses and carrying out routine operation and maintenance, there is the need to plan optimal cropping patterns and to allocate water so as to optimise scheme performance. In many irrigation systems, the management has not been able to adequately cope with the challenges and constraints associated with the attainment of these objectives, with the result that the schemes perform relatively poorly.
This study seeks to develop a computer model to determine optimal water management procedures for irrigation systems. The model facilitates planning, operation and performance assessment while relieving the scheme manager of repetitive and computationally intensive tasks. The pre-season planning module estimates water allocation for an entire season from an initial condition and a set of predicted data. In-season operation plans water allocation for the next period after considering the scheme data over a suitable planning horizon. The water allocation plan can be made using one of several water allocation policies. The model allows the scheme's actual performance to be assessed and compared with predicted or optimal performance.
The model has been applied to the Rio Cobre irrigation scheme, Jamaica to identify elements influencing water management and agricultural production and to evaluate its current and potential performance. Analysis of the scheme's performance involve investigating the effect of different water allocation policies and the determination of the cost and feasibility of relieving the constraints and their consequent impact on system performance.
University of Southampton
Hales, Alwin Livingstone
0df282fc-7484-4667-8393-0ffc3fe9a0ca
1994
Hales, Alwin Livingstone
0df282fc-7484-4667-8393-0ffc3fe9a0ca
Hales, Alwin Livingstone
(1994)
A model to determine optimal water management procedures for multi-variable irrigation systems.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
One of the major goals in the management and operation of an irrigation scheme is the efficient production, distribution and utilisation of water. If there is a limited water supply, in addition to the usual requirements for minimising water losses and carrying out routine operation and maintenance, there is the need to plan optimal cropping patterns and to allocate water so as to optimise scheme performance. In many irrigation systems, the management has not been able to adequately cope with the challenges and constraints associated with the attainment of these objectives, with the result that the schemes perform relatively poorly.
This study seeks to develop a computer model to determine optimal water management procedures for irrigation systems. The model facilitates planning, operation and performance assessment while relieving the scheme manager of repetitive and computationally intensive tasks. The pre-season planning module estimates water allocation for an entire season from an initial condition and a set of predicted data. In-season operation plans water allocation for the next period after considering the scheme data over a suitable planning horizon. The water allocation plan can be made using one of several water allocation policies. The model allows the scheme's actual performance to be assessed and compared with predicted or optimal performance.
The model has been applied to the Rio Cobre irrigation scheme, Jamaica to identify elements influencing water management and agricultural production and to evaluate its current and potential performance. Analysis of the scheme's performance involve investigating the effect of different water allocation policies and the determination of the cost and feasibility of relieving the constraints and their consequent impact on system performance.
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Published date: 1994
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Local EPrints ID: 458575
URI: http://eprints.soton.ac.uk/id/eprint/458575
PURE UUID: 396dbaf4-3374-47a7-be5f-8e0904b1de12
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Date deposited: 04 Jul 2022 16:51
Last modified: 23 Jul 2022 00:21
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Author:
Alwin Livingstone Hales
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