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dc.contributor.authorBertone, Edoardo
dc.contributor.authorSahin, Oz
dc.contributor.authorRichards, Russell
dc.contributor.authorRoiko, Anne
dc.date.accessioned2020-02-14T02:00:13Z
dc.date.available2020-02-14T02:00:13Z
dc.date.issued2019
dc.identifier.issn2616-6518
dc.identifier.doi10.2166/h2oj.2019.024
dc.identifier.urihttp://hdl.handle.net/10072/391464
dc.description.abstractA decision support tool was created to estimate the treatment efficiency of an Australian drinking water treatment system based on different combinations of extreme weather events and long-term changes. To deal with uncertainties, missing data, and nonlinear behaviours, a Bayesian network (BN) was coupled with a system dynamics (SD) model. The preliminary conceptual structures of these models were developed through stakeholders' consultation. The BN model could rank extreme events, and combinations of them, based on the severity of their impact on health-related water quality. The SD model, in turn, was used to run a long-term estimation of extreme events' impacts by including temporal factors such as increased water demand and customer feedback. The integration of the two models was performed through a combined Monte Carlo–fuzzy logic approach which allowed to take the BN's outputs as inputs for the SD model. The final product is a participatory, multidisciplinary decision support system allowing for robust, sustainable long-term water resources management under uncertain conditions for a specific location.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherIWA Publishing
dc.relation.ispartofpagefrom9
dc.relation.ispartofpageto24
dc.relation.ispartofissue1
dc.relation.ispartofjournalH2Open Journal
dc.relation.ispartofvolume2
dc.subject.fieldofresearchEnvironmental sciences
dc.subject.fieldofresearchEnvironmental management
dc.subject.fieldofresearchcode41
dc.subject.fieldofresearchcode4104
dc.titleAssessing the impacts of extreme weather events on potable water quality: the value to managers of a highly participatory, integrated modelling approach
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationBertone, E; Sahin, O; Richards, R; Roiko, A, Assessing the impacts of extreme weather events on potable water quality: the value to managers of a highly participatory, integrated modelling approach, H2Open Journal, 2019, 2 (1), pp. 9-24
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2020-02-14T01:56:46Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2019 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).
gro.hasfulltextFull Text
gro.griffith.authorBertone, Edoardo
gro.griffith.authorSahin, Oz
gro.griffith.authorRoiko, Anne H.


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