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dc.contributor.authorGholami, H
dc.contributor.authorTelfer, Matt
dc.contributor.authorBlake, William
dc.contributor.authorFathabadi, A
dc.date.accessioned2017-09-05T14:07:34Z
dc.date.available2017-09-05T14:07:34Z
dc.date.issued2017-08-16
dc.identifier.issn0197-9337
dc.identifier.issn1096-9837
dc.identifier.urihttp://hdl.handle.net/10026.1/9893
dc.description.abstract

<jats:title>Abstract</jats:title><jats:p>Identifying sand provenance in depositional aeolian environments (e.g. dunefields) can elucidate sediment pathways and fluxes, and inform potential land management strategies where windblown sand and dust is a hazard to health and infrastructure. However, the complexity of these pathways typically makes this a challenging proposition, and uncertainties on the composition of mixed‐source sediments are often not reported. This study demonstrates that a quantitative fingerprinting method within the Bayesian Markov Chain Monte Carlo (MCMC) framework offers great potential for exploring the provenance and uncertainties associated with aeolian sands.</jats:p><jats:p>Eight samples were taken from dunes of the small (~58 km<jats:sup>2</jats:sup>) Ashkzar erg, central Iran, and 49 from three distinct potential sediment sources in the surrounding area. These were analyzed for 61 tracers including 53 geochemical elements (trace, major and rare earth elements (REE)) and eight REE ratios. Kruskal–Wallis H‐tests and stepwise discriminant function analysis (DFA) allowed the identification of an optimum composite fingerprint based on six tracers (Rb, Sr, <jats:sup>87</jats:sup>Sr, (La/Yb)<jats:sub>n</jats:sub>, Ga and δCe), and a Bayesian mixing model was applied to derive the source apportionment estimates within an uncertainty framework.</jats:p><jats:p>There is substantial variation in the uncertainties in the fingerprinting results, with some samples yielding clear discrimination of components, and some with less clear fingerprints. Quaternary terraces and fans contribute the largest component to the dunes, but they are also the most extensive surrounding unit; clay flats and marls, however, contribute out of proportion to their small outcrop extent. The successful application of these methods to aeolian sediment deposits demonstrates their potential for providing quantitative estimates of aeolian sediment provenances in other mixed‐source arid settings, and may prove especially beneficial where sediment is derived from multiple sources, or where other methods of provenance (e.g. detrital zircon U–Pb dating) are not possible due to mineralogical constraints. Copyright © 2017 John Wiley &amp; Sons, Ltd.</jats:p>

dc.format.extent2365-2376
dc.languageen
dc.language.isoen
dc.publisherWiley
dc.subjectsand provenance
dc.subjectaeolian sediment
dc.subjectMarkov chain Monte Carlo
dc.subjectfingerprinting
dc.subjectuncertainty
dc.titleAeolian sediment fingerprinting using a Bayesian mixing model
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000414348200011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue14
plymouth.volume42
plymouth.publication-statusPublished online
plymouth.journalEarth Surface Processes and Landforms
dc.identifier.doi10.1002/esp.4189
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Admin Group - REF
plymouth.organisational-group/Plymouth/Admin Group - REF/REF Admin Group - FoSE
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Geography, Earth and Environmental Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA14 Geography and Environmental Studies
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dcterms.dateAccepted2017-06-15
dc.rights.embargodate2018-6-20
dc.identifier.eissn1096-9837
dc.rights.embargoperiod12 months
rioxxterms.versionofrecord10.1002/esp.4189
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved
rioxxterms.licenseref.startdate2017-08-16
rioxxterms.typeJournal Article/Review


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