2007
DOI: 10.1007/s11269-007-9236-2
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A Stochastic Non-linear Programming Model for a Multi-period Water Resource Allocation with Multiple Objectives

Abstract: A rapid increase in demand and severe droughts in recent years has increased the pressure on water supplies throughout most parts of Australia. This has resulted in the need for tools to allocate limited water across users in different regions, and explore scenarios so as to achieve economic, social and environmental benefits. A major challenge in water resource allocation is dealing with the uncertainty in the system, particularly with respect to reservoir inflow. Stochastic non-linear programming is applied … Show more

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Cited by 40 publications
(12 citation statements)
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“…The modelling tools that are used in water management generally take water availability as external forcing and do not include the feedbacks of the water use on the hydrological system (e.g. Higgins et al, 2008;Borgomeo et al, 2014). Like some global and lumped hydrological models mentioned before, many water management models are capable of simulating the effect of the allocation of water on hydrological processes also during drought, as was shown by Querner et al (2008) and Van Oel et al (2012), or simulating the influence of water management decisions on the evolution of a given drought scenario (e.g.…”
Section: Human Feedback Of Droughtmentioning
confidence: 99%
“…The modelling tools that are used in water management generally take water availability as external forcing and do not include the feedbacks of the water use on the hydrological system (e.g. Higgins et al, 2008;Borgomeo et al, 2014). Like some global and lumped hydrological models mentioned before, many water management models are capable of simulating the effect of the allocation of water on hydrological processes also during drought, as was shown by Querner et al (2008) and Van Oel et al (2012), or simulating the influence of water management decisions on the evolution of a given drought scenario (e.g.…”
Section: Human Feedback Of Droughtmentioning
confidence: 99%
“…In this paper, the uncertainty of spatial distribution of rainfall was simulated with a Monte Carlo (MC) method (Bobba et al 1996;Higgins et al 2008;Wu et al 2008) whereas the 50% Huff temporal pattern was employed for temporal distribution.…”
Section: Methodsmentioning
confidence: 99%
“…First, since the total water resource is limited, a portion of scholars have built linear programing models to discuss how to allocate the limited water resource efficiently among multiple water users to achieve economic, social and environmental benefits with equilibrium constraints (Andrew et al, 2008;Mahdi, 2010;Wolfgang et al, 2013). Secondly, since water reclamation is an effective approach for water exploitation, a group of scholars have utilized a systematic framework to quantify the water reclamation potential to ensure water supply for socio-economic activities (Angelakis et al, 2003;Hong & Abbaspour, 2007;Apostolidis et al, 2011).…”
Section: Introductionmentioning
confidence: 99%