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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/99628
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dc.contributor.authorLi, J.-
dc.contributor.authorThyer, M.-
dc.contributor.authorLambert, M.-
dc.contributor.authorKuzera, G.-
dc.contributor.authorMetcalfe, A.-
dc.date.issued2016-
dc.identifier.citationJournal of Hydrology, 2016; 533:40-52-
dc.identifier.issn0022-1694-
dc.identifier.issn1879-2707-
dc.identifier.urihttp://hdl.handle.net/2440/99628-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityJing Li, Mark Thyer, Martin Lambert, George Kuzera, Andrew Metcalfe-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2016 Published by Elsevier B.V.-
dc.source.urihttp://dx.doi.org/10.1016/j.jhydrol.2015.11.038-
dc.subjectDerived flood distribution; seasonality; joint probability; rainfall-runoff process; flood frequency-
dc.titleIncorporating seasonality into event-based joint probability methods for predicting flood frequency: a hybrid causative event approach-
dc.typeJournal article-
dc.identifier.doi10.1016/j.jhydrol.2015.11.038-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP1094796-
pubs.publication-statusPublished-
dc.identifier.orcidThyer, M. [0000-0002-2830-516X]-
dc.identifier.orcidLambert, M. [0000-0001-8272-6697]-
dc.identifier.orcidMetcalfe, A. [0000-0002-7680-3577]-
Appears in Collections:Aurora harvest 3
Civil and Environmental Engineering publications

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