Show simple item record

dc.contributor.authorBertone, E
dc.contributor.authorSahin, O
dc.contributor.authorRichards, R
dc.contributor.authorRoiko, RA
dc.date.accessioned2018-03-26T01:31:00Z
dc.date.available2018-03-26T01:31:00Z
dc.date.issued2015
dc.identifier.isbn9781467380669
dc.identifier.issn2157-3611
dc.identifier.doi10.1109/IEEM.2015.7385852
dc.identifier.urihttp://hdl.handle.net/10072/123524
dc.description.abstractA combination of Bayesian Network (BN), System Dynamics (SD) and participatory modelling to develop a risk assessment tool for managing water-related health risks associated with extreme events has been developed. The risk assessment tool is applied to the Prospect water filtration plant system, main source of potable water for the Sydney metropolitan region. Conceptual models were developed by the stakeholders around the key indicator parameters of turbidity, water colour and cryptosporidium. These three conceptual models were and used for developing separate BN and SD models. Here we present the development of a BN designed to understand the risk of extreme events on the ability to provide drinking water of a desired quality. The model has undergone development and preliminary parameterization via two participatory workshops. However, its development is an ongoing process with the next stage involving supplementing the `expert opinion' used to parameterize the model so far with `hard' data.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencenameIEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
dc.relation.ispartofconferencetitle2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM)
dc.relation.ispartofdatefrom2015-12-06
dc.relation.ispartofdateto2015-12-09
dc.relation.ispartoflocationSingapore, SINGAPORE
dc.relation.ispartofpagefrom1272
dc.relation.ispartofpagefrom5 pages
dc.relation.ispartofpageto1276
dc.relation.ispartofpageto5 pages
dc.relation.ispartofvolume2016-January
dc.subject.fieldofresearchWater Resources Engineering
dc.subject.fieldofresearchExpert Systems
dc.subject.fieldofresearchEnvironmental and Occupational Health and Safety
dc.subject.fieldofresearchcode090509
dc.subject.fieldofresearchcode080105
dc.subject.fieldofresearchcode111705
dc.titleBayesian Network and System Thinking Modelling to Manage Water-Related Health Risks from Extreme Events
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
dc.description.versionPost-print
gro.facultyGriffith Sciences, School of Engineering and Built Environment
gro.rights.copyright© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorRoiko, Anne H.
gro.griffith.authorSahin, Oz
gro.griffith.authorBertone, Edoardo
gro.griffith.authorRichards, Russell G.


Files in this item

This item appears in the following Collection(s)

  • Conference outputs
    Contains papers delivered by Griffith authors at national and international conferences.

Show simple item record