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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/110946
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dc.contributor.authorCarvajal, G.-
dc.contributor.authorBranch, A.-
dc.contributor.authorSisson, S.-
dc.contributor.authorRoser, D.-
dc.contributor.authorvan den Akker, B.-
dc.contributor.authorMonis, P.-
dc.contributor.authorReeve, P.-
dc.contributor.authorKeegan, A.-
dc.contributor.authorRegel, R.-
dc.contributor.authorKhan, S.-
dc.date.issued2017-
dc.identifier.citationWater Research, 2017; 122:269-279-
dc.identifier.issn0043-1354-
dc.identifier.issn1879-2448-
dc.identifier.urihttp://hdl.handle.net/2440/110946-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityGuido Carvajal, Amos Branch, Scott A. Sisson, David J. Roser, Ben van den Akker, Paul Monis, Petra Reeve, Alexandra Keegan, Rudi Regel, Stuart J. Khan-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2017 Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.watres.2017.05.057-
dc.subjectBayesian hierarchical model; validation; ultrafiltration; MS2 bacteriophage; log reduction value-
dc.titleVirus removal by ultrafiltration: understanding long-term performance change by application of Bayesian analysis-
dc.typeJournal article-
dc.identifier.doi10.1016/j.watres.2017.05.057-
dc.relation.granthttp://purl.org/au-research/grants/arc/CE140100049-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 3
Environment Institute publications

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