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dc.contributor.authorHaddadchi, Arman
dc.contributor.authorS. Ryder, Darren
dc.contributor.authorEvrard, Olkiver
dc.contributor.authorOlley, Jon
dc.date.accessioned2017-05-03T13:13:42Z
dc.date.available2017-05-03T13:13:42Z
dc.date.issued2013
dc.date.modified2014-09-17T22:30:35Z
dc.identifier.issn10016279
dc.identifier.doi10.1016/S1001-6279(14)60013-5
dc.identifier.urihttp://hdl.handle.net/10072/60230
dc.description.abstractSuspended sediments in fluvial systems originate from a myriad of diffuse and point sources, with the relative contribution from each source varying over time and space. The process of sediment fingerprinting focuses on developing methods that enable discrete sediment sources to be identified from a composite sample of suspended material. This review identifies existing methodological steps for sediment fingerprinting including fluvial and source sampling, and critically compares biogeochemical and physical tracers used in fingerprinting studies. Implications of applying different mixing models to the same source data are explored using data from 41 catchments across Europe, Africa, Australia, Asia, and North and South America. The application of seven commonly used mixing models to two case studies from the US (North Fork Broad River watershed) and France (Bl鯮e watershed) with local and global (genetic algorithm) optimization methods identified all outputs remained in the acceptable range of error defined by the original authors. We propose future sediment fingerprinting studies use models that combine the best explanatory parameters provided by the modified Collins (using correction factors) and Hughes (relying on iterations involving all data, and not only their mean values) models with optimization using genetic algorithms to best predict the relative contribution of sediment sources to fluvial systems.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent745569 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherGuoji Nisha Yanjiu Zhongxin
dc.publisher.placeChina
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom560
dc.relation.ispartofpageto578
dc.relation.ispartofissue4
dc.relation.ispartofjournalInternational Journal of Sediment Research
dc.relation.ispartofvolume28
dc.rights.retentionY
dc.subject.fieldofresearchGeology
dc.subject.fieldofresearchGeology not elsewhere classified
dc.subject.fieldofresearchSoil sciences
dc.subject.fieldofresearchSoil sciences not elsewhere classified
dc.subject.fieldofresearchcode3705
dc.subject.fieldofresearchcode370599
dc.subject.fieldofresearchcode4106
dc.subject.fieldofresearchcode410699
dc.titleSediment fingerprinting in fluvial systems: review of tracers, sediment sources and mixing models
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Environment
gro.rights.copyright© 2013 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.date.issued2013
gro.hasfulltextFull Text
gro.griffith.authorOlley, Jon M.


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