Analysis of Water Quantity and Quality Trade-Offs to Inform Selective Harvesting of Inflows in Complex Water Resource Systems

Dey, Sayani; Barton, Andrew; Kandra, Harpreet Singh; Bagirov, Adil M.; Wilson, Kym

doi:10.1007/s11269-021-02936-x

Cited by 2 publications

(7 citation statements)

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“…The Grampians reservoir system is located in arid and semiarid regions of western Victoria, Australia. The Grampians system covers an area approximately 10% the size of Victoria therefore, an important catchment to be studied (Dey et al, 2021a;Mala-Jetmarova et al, 2015). Many present-day challenges such as water security, water quality variability is associated with this area and makes it an ideal location to be investigated.…”

Section: Study Areamentioning

confidence: 99%

“…Initial work analysed water volume changes in the storage with raw water quality data (base result) and this has been described in Dey et al (2021a). Regression correlation between in ows and salinity, in ows and turbidity were assessed.…”

Section: Data Processingmentioning

confidence: 99%

“…The broader research objective of this study is to understand the water quality and quantity interactions for the purpose of operational planning for optimal management of complex water resource system. In order to achieve the research objective, rst part of the research study identi ed and analysed water quantity and quality trade-offs in a water resource system (Dey et al, 2021a). Authors used simulation approach to analyse water quality and quantity trade-offs.…”

Section: Introductionmentioning

confidence: 99%

“…The storage volume trends were investigated for different water quality levels. Selective harvesting of water from in ow sources was identi ed as an option to address water quality issues within a reservoir (Dey et al, 2021a). However, authors concluded that the available salinity and turbidity data (Dey et al, 2021a) were not adequately reliable for the study as it generated poor correlation between water quality parameters and the in ows.…”

Section: Introductionmentioning

confidence: 99%

“…Selective harvesting of water from in ow sources was identi ed as an option to address water quality issues within a reservoir (Dey et al, 2021a). However, authors concluded that the available salinity and turbidity data (Dey et al, 2021a) were not adequately reliable for the study as it generated poor correlation between water quality parameters and the in ows. Therefore, it was recommended to examine the uncertainties associated with salinity and turbidity data used in the study.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the robustness of an optimisation model considering uncertainties in water quality parameters.

Dey

Barton

Bagirov

et al. 2022

Preprint

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The competing nature of water quality and quantity in a complex water resource system makes water management challenging. The difficulty is exacerbated by the uncertainties inherent with the available data. This study performs analysis of uncertainties in water quality data to identify relative changes in stored water volume. The uncertainty analyses are also aimed to assess impact of climate change on water quality. This work uses multi-objective optimisation approach to achieve optimised storage water volume and water quality in a reservoir. The research outcomes indicate that there are trade-offs associated while optimising water quality and quantity levels. It is found that the trade-off curve is insensitive to water quality changes thereby confirming that the model is resilient to water quality uncertainties, particular to this case study area. Therefore, the decision makers can safely rely on these trade-off curves to make decisions on selective harvesting of water. Through this analysis, robustness of the optimisation model is also confirmed and can be applied to future studies to find optimal values of water quantity and quality parameters.

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Section: Study Areamentioning

confidence: 99%

Section: Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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