Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/134906
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Type: Conference paper
Title: A framework for engaging stakeholders in solving real-world water resources management problems
Author: Wu, W.
Maier, H.R.
Dandy, G.C.
Leonard, R.
Bellette, K.
Cuddy, S.M.
Maheepala, S.
Citation: Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM 2021), 2021, pp.274-280
Publisher: Modelling and Simulation Society of Australia and New Zealand
Publisher Place: Canberra, ACT, Australia
Issue Date: 2021
ISBN: 9780987214393
ISSN: 2981-8001
Conference Name: International Congress on Modelling and Simulation (MODSIM) (5 Dec 2021 - 10 Dec 2021 : Sydney, NSW, Australia)
Statement of
Responsibility: 
W. Wu, H. R. Maier, G. C. Dandy, R. Leonard c, K. Bellette, S. M. Cuddy and S. Maheepala
Abstract: Multi-objective evolutionary algorithms (MOEAs) are becoming increasingly popular for solving environmental and water resources optimisation problems. In the past, the focus of these studies has generally been on methodological issues related to the optimisation algorithm, while the incorporation of stakeholder preferences in the MOEA solution process has largely been ignored. In recent years, there has been increased recognition of the need to apply these approaches to real-world problems to facilitate the realisation of their full potential. However, in most of these studies, stakeholder input was only used to direct the optimisation search process or select the final optimal solution(s), while the contribution of stakeholder input to other important components of the problem solving process was not considered. The reason for this is that the full consideration of stakeholder input in solving environmental and water resources optimisation problems requires the development of a more holistic approach, which involves a range of additional challenges. To address these challenges, a framework for including stakeholder input in real-world optimisation problems has been developed as part of the Optimal Water Resources Mix (OWRM) project initiated by the South Australian Government through the Goyder Institute for Water Research. The framework includes a conceptual framework (Figure 1) and a procedure for its implementation. The framework was applied to an urban water supply security study for Adelaide, South Australia. A summary of the framework and how it was implemented to identify optimal water sourcing options for the Adelaide case study is presented in this paper. This study highlights the important role of stakeholder input at the various stages of the problem formulation and optimisation process, analysis and results, although it can be expensive and time consuming to do so. It is recommended that adequate resources be made available for stakeholder engagement in project plans and budgets, as there needs to be clear and ongoing communication between stakeholder groups throughout the project. It also demonstrates that the use of MOEAs as the optimisation engine, together with appropriate stakeholder input, provides a combination that is well-suited to solving real-world water resources problems.
Keywords: Integrated urban water management; Multiobjective optimisation; Stakeholder preferences
Rights: © the Authors and Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ) These proceedings are licensed under the terms of the Creative Commons Attribution 4.0 International CC BY License (http://creativecommons.org/licenses/by/4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you attribute MSSANZ and the original author(s) and source, provide a link to the Creative Commons licence and indicate if changes were made. Images or other third party material are included in this licence, unless otherwise indicated in a credit line to the material.
DOI: 10.36334/modsim.2021.f3.wu
Grant ID: http://purl.org/au-research/grants/arc/DE210100117
Published version: https://mssanz.org.au/
Appears in Collections:Civil and Environmental Engineering publications

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