Quantifying sediment-associated metal dispersal using Pb isotopes: Application of binary and multivariate mixing models at the catchment-scale

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dc.contributor.author Bird, Graham
dc.contributor.author Brewer, Paul A.
dc.contributor.author Macklin, Mark G.
dc.contributor.author Nikolova, Mariyana
dc.contributor.author Kotsev, Tsvetan
dc.contributor.author Mollov, Mihail
dc.contributor.author Swain, Catherine Helena
dc.date.accessioned 2011-05-13T10:50:20Z
dc.date.available 2011-05-13T10:50:20Z
dc.date.issued 2010-06
dc.identifier.citation Bird , G , Brewer , P A , Macklin , M G , Nikolova , M , Kotsev , T , Mollov , M & Swain , C H 2010 , ' Quantifying sediment-associated metal dispersal using Pb isotopes: Application of binary and multivariate mixing models at the catchment-scale ' Environmental Pollution , vol 158 , no. 6 , pp. 2158-2169 . , 10.1016/j.envpol.2010.02.020 en
dc.identifier.issn 0269-7491
dc.identifier.other PURE: 159719
dc.identifier.other dspace: 2160/6730
dc.identifier.uri http://hdl.handle.net/2160/6730
dc.description Bird, G., Brewer, P.A., Macklin, M.G., Nikolova, M., Kotsev, T., Swain, C. (2010). Quantifying sediment-associated metal dispersal using Pb isotopes: application of binary and multivariate mixing models. Environmental Pollution, 158(6), 2158-2169. Sponsorship: Royal Society en
dc.description.abstract In this study Pb isotope signatures were used to identify the provenance of contaminant metals and establish patterns of downstream sediment dispersal within the River Maritsa catchment, which is impacted by the mining of polymetallic ores. A two-fold modelling approach was undertaken to quantify sediment-associated metal delivery to the Maritsa catchment; employing binary mixing models in tributary systems and a composite fingerprinting and mixing model approach in the wider Maritsa catchment. Composite fingerprints were determined using Pb isotopic and multi-element geochemical data to characterize sediments delivered from tributary catchments. Application of a mixing model allowed a quantification of the percentage contribution of tributary catchments to the sediment load of the River Maritsa. Sediment delivery from tributaries directly affected by mining activity contributes 42–63% to the sediment load of the River Maritsa, with best-fit regression relationships indicating that sediments originating from mining-affected tributaries are being dispersed over 200 km downstream. Pb isotopic evidence used to quantify sediment-associated metal delivery within a mining-affected river catchment. en
dc.format.extent 12 en
dc.language.iso eng
dc.relation.ispartof Environmental Pollution en
dc.subject Pb isotopes en
dc.subject Mixing models en
dc.subject Sediment dispersal en
dc.subject Metals en
dc.title Quantifying sediment-associated metal dispersal using Pb isotopes: Application of binary and multivariate mixing models at the catchment-scale en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1016/j.envpol.2010.02.020
dc.contributor.institution River Basin Dynamics and Hydrology en
dc.contributor.institution Institute of Geography & Earth Sciences en
dc.description.status Peer reviewed en


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