Using system dynamics to model water-reallocation |
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Authors: | Amgad Elmahdi Hector Malano Teri Etchells |
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Institution: | (1) CSIRO, land and water, Adelaide, PMB 2 Glen Osmond, SA 5062, Australia;(2) Department of Civil and Environment Engineering, The University of Melbourne, 3010 Vic, Australia |
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Abstract: | Improving the efficiency of water allocation has long been recognised as a key problem for the water resources management
decision-makers. However, assessing the efficacy of management decision is difficult due to the complexity and interconnectivity
of water resource systems. For this reason, it is vital that robust modelling approaches are employed to deal with the feedback
loops inherent in the water resource systems. Whilst many studies have applied modelling to various aspects of water resource
management, little attention has been given to innovations in modelling approaches to deal with the modelling challenges associated
with improving decision-making.
The aim of this study is to apply a System Dynamics modelling approach to improve the efficiency of water allocation incorporating
a myriad of irrigation system constraints. The system dynamic approach allows the different system components to be organised
as a collection of discrete objects that incorporate data, structure and function to generate complex system behaviour. Through
the application of a system dynamic approach, a robust model (named the Economical Reallocating Water Model (ERWM)) was developed
which was used to examine the options of re-allocating water resources that minimize the water cost all over an irrigated
agricultural area. The EWRM incorporated a wide range of complexities likely to be encountered in water resource management:
surface and ground water sources, water trading between sources, system constraint such as maximum ground water pumping, rates,
maximum possible trading volumes and differential water resource prices. Two hypothetical systems have been presented here
as an example. The results show that the System Dynamics approach has a significant advantages in estimating and assessing
the outcomes of alternative water management strategies through time and space. |
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Keywords: | Economic water use Optimization System dynamics Water allocation Water trading and price |
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