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dc.contributor.authorRoach, T
dc.contributor.authorKapelan, Z
dc.contributor.authorLedbetter, R
dc.contributor.authorLedbetter, M
dc.date.accessioned2017-09-28T14:38:55Z
dc.date.issued2016-05-03
dc.description.abstractThis paper evaluates two established decision-making methods and analyzes their performance and suitability within a water resources management (WRM) problem. The methods under assessment are info-gap (IG) decision theory and robust optimization (RO). The methods have been selected primarily to investigate a contrasting local versus global method of assessing water system robustness to deep uncertainty, but also to compare a robustness model approach (IG) with a robustness algorithm approach (RO), whereby the former selects and analyzes a set of prespecified strategies and the latter uses optimization algorithms to automatically generate and evaluate solutions. The study presents a novel area-based method for IG robustness modeling and assesses the applicability of utilizing the future flows climate change projections in scenario generation for water resource adaptation planning. The methods were applied to a case study resembling the Sussex North Water Resource Zone in England, assessing their applicability at improving a risk-based WRM problem and highlighting the strengths and weaknesses of each method at selecting suitable adaptation strategies under climate change and future demand uncertainties. Pareto sets of robustness to cost are produced for both methods and highlight RO as producing the lower cost strategies for the full range of varying target robustness levels. IG produced the more expensive Pareto strategies due to its more selective and stringent robustness analysis, resulting from the more complex scenario ordering process.en_GB
dc.description.sponsorshipThis work was financially supported by the UK Engineering and Physical Sciences Research Council, HR Wallingford and The University of Exeter through the STREAM Industrial Doctorate Centre.en_GB
dc.identifier.citationVol. 142, No. 9, Article number: 04016028en_GB
dc.identifier.doi10.1061/(ASCE)WR.1943-5452.0000660
dc.identifier.urihttp://hdl.handle.net/10871/29599
dc.language.isoenen_GB
dc.publisherAmerican Society of Civil Engineersen_GB
dc.titleComparison of Robust Optimization and Info-Gap Methods for Water Resource Management under Deep Uncertaintyen_GB
dc.typeArticleen_GB
dc.date.available2017-09-28T14:38:55Z
dc.identifier.issn0733-9496
exeter.article-numberARTN 08217002en_GB
dc.descriptionAuthor's accepted manuscripten_GB
dc.descriptionFinal version available from ASCE via the DOI in this recorden_GB
dc.identifier.eissn1943-5452
dc.identifier.journalJournal of Water Resources Planning and Managementen_GB


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