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dc.contributor.authorLinhoff, Benjamin S.
dc.contributor.authorCharette, Matthew A.
dc.contributor.authorNienow, Peter W.
dc.contributor.authorWadham, Jemma L.
dc.contributor.authorTedstone, Andrew J.
dc.contributor.authorCowton, Tom
dc.date.accessioned2018-01-24T00:31:34Z
dc.date.available2018-01-24T00:31:34Z
dc.date.issued2017-03-15
dc.identifier.citationLinhoff , B S , Charette , M A , Nienow , P W , Wadham , J L , Tedstone , A J & Cowton , T 2017 , ' Utility of 222 Rn as a passive tracer of subglacial distributed system drainage ' Earth and Planetary Science Letters , vol. 462 , pp. 180-188 . https://doi.org/10.1016/j.epsl.2016.12.039en
dc.identifier.issn0012-821X
dc.identifier.otherPURE: 248656090
dc.identifier.otherPURE UUID: d9618470-7913-4625-a640-3458bfde28dd
dc.identifier.otherScopus: 85009948870
dc.identifier.urihttp://hdl.handle.net/10023/12598
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0012821X1630752X#appd002en
dc.descriptionThe authors acknowledge the following funding sources: U.S. National Science Foundation Arctic Natural Sciences Program (ANS-1256669); Woods Hole Oceanographic Institution Arctic Research Initiative, Ocean Ventures Fund, and Ocean Climate Change Institute; United Kingdom Natural Environment Research Council studentship (NE/152830X/1); the Carnegie Trust, Edinburgh University Development Trust. Data presented in this study is archived at: www.aoncadis.org/dataset/GrIS_RADON.html.en
dc.description.abstractWater flow beneath the Greenland Ice Sheet (GrIS) has been shown to include slow-inefficient (distributed) and fast-efficient (channelized) drainage systems, in response to meltwater delivery to the bed via both moulins and surface lake drainage. This partitioning between channelized and distributed drainage systems is difficult to quantify yet it plays an important role in bulk meltwater chemistry and glacial velocity, and thus subglacial erosion. Radon-222, which is continuously produced via the decay of 226Ra, accumulates in meltwater that has interacted with rock and sediment. Hence, elevated concentrations of 222Rn should be indicative of meltwater that has flowed through a distributed drainage system network. In the spring and summer of 2011 and 2012, we made hourly 222Rn measurements in the proglacial river of a large outlet glacier of the GrIS (Leverett Glacier, SW Greenland). Radon-222 activities were highest in the early melt season (10-15 dpm L-1), decreasing by a factor of 2-5 (3-5 dpm L-1) following the onset of widespread surface melt. Using a 222Rn mass balance model, we estimate that, on average, greater than 90% of the river 222Rn was sourced from distributed system meltwater. The distributed system 222Rn flux varied on diurnal, weekly, and seasonal time scales with highest fluxes generally occurring on the falling limb of the hydrograph and during expansion of the channelized drainage system. Using laboratory based estimates of distributed system 222Rn, the distributed system water flux generally ranged between 1-5% of the total proglacial river discharge for both seasons. This study provides a promising new method for hydrograph separation in glacial watersheds and for estimating the timing and magnitude of distributed system fluxes expelled at ice sheet margins.en
dc.format.extent9en
dc.language.isoeng
dc.relation.ispartofEarth and Planetary Science Lettersen
dc.rightsCopyright 2017, Elsevier B.V. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at: https://doi.org/10.1016/j.epsl.2016.12.039en
dc.subjectRadonen
dc.subjectGreenlanden
dc.subjectGlacieren
dc.subjectProglacial riveren
dc.subjectMeltwateren
dc.subjectGE Environmental Sciencesen
dc.subjectDASen
dc.subject.lccGEen
dc.titleUtility of 222Rn as a passive tracer of subglacial distributed system drainageen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.identifier.doihttps://doi.org/10.1016/j.epsl.2016.12.039
dc.description.statusPeer revieweden
dc.date.embargoedUntil23-01-20


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