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Evaluating and enhancing information quality for IAM decisions in urban water systems: Improving the effectiveness and efficiency of IAM decisions in urban water systems by evaluating and enhancing information gains from data collection and models application

dc.contributor.advisorUgarelli, Rita Maria
dc.contributor.advisorSægrov, Sveinung
dc.contributor.authorRokstad, Marius Møller
dc.date.accessioned2017-02-27T11:49:54Z
dc.date.available2017-02-27T11:49:54Z
dc.date.issued2016
dc.identifier.isbn978-82-326-1863-7
dc.identifier.issn1503-8181
dc.identifier.urihttp://hdl.handle.net/11250/2432168
dc.language.isoengnb_NO
dc.publisherNTNUnb_NO
dc.relation.ispartofseriesDoctoral theses at NTNU;2016:262
dc.titleEvaluating and enhancing information quality for IAM decisions in urban water systems: Improving the effectiveness and efficiency of IAM decisions in urban water systems by evaluating and enhancing information gains from data collection and models applicationnb_NO
dc.typeDoctoral thesisnb_NO
dc.subject.nsiVDP::Technology: 500::Environmental engineering: 610nb_NO


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