Decision support system for the long-term city metabolism planning problem

Morley, Mark, Vitorino, Diogo, Behzadian, Kourosh ORCID: https://orcid.org/0000-0002-1459-8408, Ugarelli, Rita, Kapelan, Zoran, Coelho, Sergio Teixeira and Do Céu Almeida, Maria (2016) Decision support system for the long-term city metabolism planning problem. Water Science and Technology: Water Supply, 16 (2). pp. 542-550. ISSN 1606-9749

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Abstract

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 (Alegre et al., 2012). 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 (MCDA) 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 urban water system 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.

Item Type: Article
Identifier: 10.2166/ws.2015.167
Additional Information: © IWA Publishing 2016
Subjects: Construction and engineering > Civil and environmental engineering
Depositing User: Kourosh Behzadian
Date Deposited: 13 Jun 2016 08:12
Last Modified: 06 Feb 2024 15:45
URI: https://repository.uwl.ac.uk/id/eprint/2205

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