Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/95217
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Type: Journal article
Title: Adaptive, multiobjective optimal sequencing approach for urban water supply augmentation under deep uncertainty
Author: Beh, E.
Maier, H.
Dandy, G.
Citation: Water Resources Research, 2015; 51(3):1529-1551
Publisher: American Geophysical Union
Issue Date: 2015
ISSN: 0043-1397
1944-7973
Statement of
Responsibility: 
Eva H.Y. Beh, Holger R. Maier, and Graeme C. Dandy
Abstract: Optimal long-term sequencing and scheduling play an important role in many water resources problems. The optimal sequencing of urban water supply augmentation options is one example of this. In this paper, an adaptive, multiobjective optimal sequencing approach for urban water supply augmentation under deep uncertainty is introduced. As part of the approach, optimal long-term sequence plans are updated at regular intervals and trade-offs between the robustness and flexibility of the solutions that have to be fixed at the current time and objectives over the entire planning horizon are considered when selecting the most appropriate course of action. The approach is demonstrated for the sequencing of urban water supply augmentation options for the southern Adelaide water supply system for two assumed future realities. The results demonstrate the utility of the proposed approach, as it is able to identify optimal sequences that perform better than those obtained using static approaches.
Rights: © 2015. American Geophysical Union. All Rights Reserved.
RMID: 0030027677
DOI: 10.1002/2014WR016254
Appears in Collections:Civil and Environmental Engineering publications

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