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dc.contributor.authorPhan, Thuc D
dc.contributor.authorSmart, James CR
dc.contributor.authorStewart-Koster, Ben
dc.contributor.authorSahin, Oz
dc.contributor.authorHadwen, Wade L
dc.contributor.authorDinh, Lien T
dc.contributor.authorTahmasbian, Iman
dc.contributor.authorCapon, Samantha J
dc.date.accessioned2020-04-16T04:30:28Z
dc.date.available2020-04-16T04:30:28Z
dc.date.issued2019
dc.identifier.issn2073-4441
dc.identifier.doi10.3390/w11122642
dc.identifier.urihttp://hdl.handle.net/10072/393133
dc.description.abstractBayesian networks (BNs) are widely implemented as graphical decision support tools which use probability inferences to generate "what if?" and "which is best?" analyses of potential management options for water resource management, under climate change and socio-economic stressors. This paper presents a systematic quantitative literature review of applications of BNs for decision support in water resource management. The review quantifies to what extent different types of data (quantitative and/or qualitative) are used, to what extent optimization-based and/or scenario-based approaches are adopted for decision support, and to what extent different categories of adaptation measures are evaluated. Most reviewed publications applied scenario-based approaches (68%) to evaluate the performance of management measures, whilst relatively few studies (18%) applied optimization-based approaches to optimize management measures. Institutional and social measures (62%) were mostly applied to the management of water-related concerns, followed by technological and engineered measures (47%), and ecosystem-based measures (37%). There was no significant difference in the use of quantitative and/or qualitative data across different decision support approaches (p = 0.54), or in the evaluation of different categories of management measures (p = 0.25). However, there was significant dependence (p = 0.076) between the types of management measure(s) evaluated, and the decision support approaches used for that evaluation. The potential and limitations of BN applications as decision support systems are discussed along with solutions and recommendations, thereby further facilitating the application of this promising decision support tool for future research priorities and challenges surrounding uncertain and complex water resource systems driven by multiple interactions amongst climatic and non-climatic changes.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute
dc.relation.ispartofissue12
dc.relation.ispartofjournalWater
dc.relation.ispartofvolume11
dc.subject.fieldofresearchEnvironmental Sciences
dc.subject.fieldofresearchcode05
dc.subject.keywordsScience & Technology
dc.subject.keywordsPhysical Sciences
dc.subject.keywordsWater Resources
dc.subject.keywordsclimate change
dc.subject.keywordsdecision support tools
dc.titleApplications of Bayesian Networks as Decision Support Tools for Water Resource Management under Climate Change and Socio-Economic Stressors: A Critical Appraisal
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationPhan, TD; Smart, JCR; Stewart-Koster, B; Sahin, O; Hadwen, WL; Dinh, LT; Tahmasbian, I; Capon, SJ, Applications of Bayesian Networks as Decision Support Tools for Water Resource Management under Climate Change and Socio-Economic Stressors: A Critical Appraisal, Water, 2019, 11 (12)
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2020-04-16T04:26:01Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s) 2019. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorSmart, Jim C.
gro.griffith.authorSahin, Oz
gro.griffith.authorHadwen, Wade L.
gro.griffith.authorDinh, Lien
gro.griffith.authorCapon, Samantha J.
gro.griffith.authorPhan, Thuc D.
gro.griffith.authorStewart-Koster, Ben D.


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