Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchment

41 Pags.- 5 Tabls.- 6 Figs. The definitive version is available at: http://link.springer.com/journal/11368

Detalhes bibliográficos
Autores: Palazón Tabuenca, Leticia, Gaspar Ferrer, Leticia, Latorre Garcés, Borja, Blake, William H., Navas Izquierdo, Ana
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2015
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/117004
Acesso em linha:http://hdl.handle.net/10261/117004
Access Level:acceso abierto
Palavra-chave:Mixing model
Mountain catchment
Sediment fingerprinting
Spanish Pyrenees
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spelling Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchmentPalazón Tabuenca, LeticiaGaspar Ferrer, LeticiaLatorre Garcés, BorjaBlake, William H.Navas Izquierdo, AnaMixing modelMountain catchmentSediment fingerprintingSpanish Pyrenees41 Pags.- 5 Tabls.- 6 Figs. The definitive version is available at: http://link.springer.com/journal/11368Purpose Spanish Pyrenean reservoirs are under pressure from high sediment yields in their contributing catchments. Sediment fingerprinting approaches offer the potential to quantify the contribution of different sediment sources, evaluate catchment erosion dynamics and develop management plans to tackle, among other problems, reservoir siltation. Within this context, the objective of this study was to assess catchment source contribution changes both over a longitudinal river reach and to a reservoir delta deposit to improve our understanding of sediment supply dynamics. Materials and methods The catchment of the Isábena River (445 km2), located in the central Spanish Pyrenees, is an agroforest catchment supplying sediments, together with the Ésera River, to the Barasona reservoir at an annual rate of ~350 t km2 with implications for reservoir longevity. The ability to discriminate between agricultural, forest, subsoil and scrubland sources based on geochemical, radionuclide and magnetic susceptibility fingerprint properties analysed in the <63-μm sediment fraction was investigated by conducting statistical tests to select an optimum composite fingerprint. The contributions of sediment sources for channel bed and delta sediments were assessed by applying a new data processing methodology which was written in the C programming language and designed to test the entire parameter space, providing a detailed description of the optimal solution by a Monte Carlo method.Results and discussion The solution for each sample was characterised by the mean value of the user-defined solutions (n = 100) and the lower goodness of fit value was applied. The solutions from the mixing model had goodness of fit values >82 %. The channel bed sediments in the upper reach were dominated by subsoil sources (>80 %), and the lower reaches had a higher proportion of sediment coming from the agricultural source (>55 %). Contributions for delta sediments were dominated by agricultural, forest and subsoil sources but in varying proportions within the deposit. The switch in the sources of sediment between the headwaters and the catchment outlet was due to differences in the distribution of the land uses/land covers in the contributing areas. Differences between channel bed sediment and delta sediment source contributions were related to local sediment deposition conditions. Conclusions The new unmixing approach is able to provide the optimal solution by a robust and integral Monte Carlo method guaranteeing a broader interpretation of the optimal solution including its dispersion in all unmixing cases. The results support the use of sediment fingerprinting approaches in this Spanish Pyrenees mountain catchment, which will enable us to better understand catchment sediment delivery to an important water supply reservoir.This research was financially supported by the project CGL2014-52986-R .Peer reviewedSpringer NatureConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2015info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/117004reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1007/s11368-015-1175-6Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1170042026-05-22T06:33:51Z
dc.title.none.fl_str_mv Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchment
title Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchment
spellingShingle Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchment
Palazón Tabuenca, Leticia
Mixing model
Mountain catchment
Sediment fingerprinting
Spanish Pyrenees
title_short Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchment
title_full Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchment
title_fullStr Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchment
title_full_unstemmed Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchment
title_sort Identifying sediment sources by applying a fingerprinting mixing model in a Pyrenean drainage catchment
dc.creator.none.fl_str_mv Palazón Tabuenca, Leticia
Gaspar Ferrer, Leticia
Latorre Garcés, Borja
Blake, William H.
Navas Izquierdo, Ana
author Palazón Tabuenca, Leticia
author_facet Palazón Tabuenca, Leticia
Gaspar Ferrer, Leticia
Latorre Garcés, Borja
Blake, William H.
Navas Izquierdo, Ana
author_role author
author2 Gaspar Ferrer, Leticia
Latorre Garcés, Borja
Blake, William H.
Navas Izquierdo, Ana
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Mixing model
Mountain catchment
Sediment fingerprinting
Spanish Pyrenees
topic Mixing model
Mountain catchment
Sediment fingerprinting
Spanish Pyrenees
description 41 Pags.- 5 Tabls.- 6 Figs. The definitive version is available at: http://link.springer.com/journal/11368
publishDate 2015
dc.date.none.fl_str_mv 2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/117004
url http://hdl.handle.net/10261/117004
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1007/s11368-015-1175-6
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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