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dc.contributor.authorBehzadian, Kourosh
dc.contributor.authorKapelan, Zoran
dc.contributor.authorGovindarajan, Venkatesh
dc.contributor.authorBrattebø, Helge
dc.contributor.authorSægrov, Sveinung
dc.contributor.authorRozos, Envangelos
dc.contributor.authorMakropoulos, Christos
dc.contributor.authorUgarelli, Rita Maria
dc.contributor.authorMilina, Jadranka
dc.contributor.authorHem, Lars John
dc.date.accessioned2017-11-20T16:27:36Z
dc.date.available2017-11-20T16:27:36Z
dc.date.created2014-05-08T08:01:51Z
dc.date.issued2014
dc.identifier.citationProcedia Engineering. 2014, 70 113-122.nb_NO
dc.identifier.issn1877-7058
dc.identifier.urihttp://hdl.handle.net/11250/2467224
dc.description.abstractThis paper presents a new “WaterMet2” model for integrated modelling of an urban water system (UWS). The model is able to quantify the principal water flows and other main fluxes in the UWS. The UWS in WaterMet2 is characterised using four different spatial scales (indoor area, local area, subcatchment and system area) and a daily temporal resolution. The main subsystems in WaterMet2 include water supply, water demand, wastewater and cyclic water recovery. The WaterMet2 is demonstrated here through modelling of the urban water system of Oslo city in Norway. Given a fast population growth, WaterMet2 analyses a range of alternative intervention strategies including 'business as usual', addition of new water resources, increased rehabilitation rates and water demand schemes to improve the performance of the Oslo UWS. The resulting five intervention strategies were compared with respect to some major UWS performance profiles quantified by the WaterMet2 model and expert’s opinions. The results demonstrate how an integrated modelling approach can assist planners in defining a better intervention strategy in the future.nb_NO
dc.description.sponsorshipAcknowledgements. This work was carried out as part of the ‘TRansition to Urban water Services of Tomorrow’ (TRUST) project. The authors wish to acknowledge the European Commission for funding TRUST project in the 7th Framework Programme under Grant Agreement No. 265122.nb_NO
dc.language.isoengnb_NO
dc.publisherElsevier Ltd.nb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectUrban water systemnb_NO
dc.subjectSimulationnb_NO
dc.subjectWaterMet2nb_NO
dc.subjectPerformancenb_NO
dc.subjectCriterianb_NO
dc.subjectStrategynb_NO
dc.subjectMCDAnb_NO
dc.titleUrban water system metabolism assessment using WaterMet2 modelnb_NO
dc.title.alternative12th International Conference on Computing and Control for the Water Industry, CCWI2013nb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holder© 2013 The Authors. Published by Elsevier Ltd. Open access under CC BY-NC-ND license.nb_NO
dc.subject.nsiVDP::Technology: 500nb_NO
dc.source.pagenumber113-122nb_NO
dc.source.volume70nb_NO
dc.source.journalProcedia Engineeringnb_NO
dc.identifier.doi10.1016/j.proeng.2014.02.014
dc.identifier.cristin1131733
dc.relation.projectEC/FP7/265122nb_NO
cristin.unitcode7401,30,30,0
cristin.unitnameInfrastruktur
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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