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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/86347
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dc.contributor.authorLi, L.-
dc.contributor.authorMaier, H.-
dc.contributor.authorPartington, D.-
dc.contributor.authorLambert, M.-
dc.contributor.authorSimmons, C.-
dc.date.issued2014-
dc.identifier.citationEnvironmental Modelling and Software, 2014; 54:39-52-
dc.identifier.issn1364-8152-
dc.identifier.issn1873-6726-
dc.identifier.urihttp://hdl.handle.net/2440/86347-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityLi Li, Holger R. Maier, Daniel Partington, Martin F. Lambert, Craig T. Simmons-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2013 Elsevier Ltd. Published by Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.envsoft.2013.12.011-
dc.subjectBaseflow; Recursive digital filters; Framework; Prediction; Regression models-
dc.titlePerformance assessment and improvement of recursive digital baseflow filters for catchments with different physical characteristics and hydrological inputs-
dc.typeJournal article-
dc.identifier.doi10.1016/j.envsoft.2013.12.011-
pubs.publication-statusPublished-
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]-
dc.identifier.orcidLambert, M. [0000-0001-8272-6697]-
Appears in Collections:Aurora harvest 2
Civil and Environmental Engineering publications

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