A decision support system (DSS) tool for the assessment of intervention strategies (Alternatives) in an urban water system (UWS) with an integral simulation model called ‘WaterMet2’ is presented. The DSS permits the user to identify one or more optimal Alternatives over a fixed long-term planning horizon using performance metrics mapped to the TRUST sustainability criteria. The DSS exposes lists of in-built intervention options and system performance metrics for the user to compose new Alternatives. The quantitative metrics are calculated by the WaterMet2 model, and further qualitative or user-defined metrics may be specified by the user or by external tools feeding into the DSS. A multi-criteria decision analysis approach is employed within the DSS to compare the defined Alternatives and to rank them with respect to a pre-specified weighting scheme for different Scenarios. Two rich, interactive graphical user interfaces, one desktop and one web-based, are employed to assist with guiding the end user through the stages of defining the problem, evaluating and ranking Alternatives. This mechanism provides a useful tool for decision makers to compare different strategies for the planning of UWS with respect to multiple Scenarios. The efficacy of the DSS is demonstrated on a northern European case study inspired by a real-life UWS for a mixture of quantitative and qualitative criteria. The results demonstrate how the DSS, integrated with an UWS modelling approach, can be used to assist planners in meeting their long-term, strategic-level sustainability objectives.
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Research Article|
November 17 2015
Decision support system for the long-term city metabolism planning problem Available to Purchase
M. S. Morley;
1Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, UK
E-mail: [email protected]
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D. Vitorino;
D. Vitorino
2Addition Lda., Rua Borges Carneiro 34 RC, 1200-619 Lisbon, Portugal
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K. Behzadian;
K. Behzadian
1Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, UK
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R. Ugarelli;
R. Ugarelli
3SINTEF Building and Infrastructure, Forskningsveien 3b, NO-0314 Oslo, Norway
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Z. Kapelan;
Z. Kapelan
1Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, UK
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S. T. Coelho;
S. T. Coelho
4Laboratório Nacional de Engenharia Civil, Av. do Brasil 101, 1700-066 Lisbon, Portugal
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M. Do Céu Almeida
M. Do Céu Almeida
4Laboratório Nacional de Engenharia Civil, Av. do Brasil 101, 1700-066 Lisbon, Portugal
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Water Supply (2016) 16 (2): 542–550.
Article history
Received:
June 16 2015
Accepted:
November 03 2015
Citation
M. S. Morley, D. Vitorino, K. Behzadian, R. Ugarelli, Z. Kapelan, S. T. Coelho, M. Do Céu Almeida; Decision support system for the long-term city metabolism planning problem. Water Supply 1 April 2016; 16 (2): 542–550. doi: https://doi.org/10.2166/ws.2015.167
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