River mixing in the Amazon as a driver of concentration‐discharge relationships
Descripción del Articulo
Large hydrological systems aggregate compositionally different waters derived from a variety of pathways. In the case of continental‐scale rivers, such aggregation occurs noticeably at confluences between tributaries. Here we explore how such aggregation can affect solute concentration‐discharge (C‐...
Autores: | , , , , , , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2017 |
Institución: | Instituto Geofísico del Perú |
Repositorio: | IGP-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.igp.gob.pe:20.500.12816/2281 |
Enlace del recurso: | http://hdl.handle.net/20.500.12816/2281 https://doi.org/10.1002/2017WR020591 |
Nivel de acceso: | acceso abierto |
Materia: | Concentration‐discharge (C‐Q) relationships Amazon River C‐Q hysteresis loops Tributary mixing Spectral analysis http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 http://purl.org/pe-repo/ocde/ford#1.05.11 |
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dc.title.none.fl_str_mv |
River mixing in the Amazon as a driver of concentration‐discharge relationships |
title |
River mixing in the Amazon as a driver of concentration‐discharge relationships |
spellingShingle |
River mixing in the Amazon as a driver of concentration‐discharge relationships Bouchez, Julien Concentration‐discharge (C‐Q) relationships Amazon River C‐Q hysteresis loops Tributary mixing Spectral analysis http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 http://purl.org/pe-repo/ocde/ford#1.05.11 |
title_short |
River mixing in the Amazon as a driver of concentration‐discharge relationships |
title_full |
River mixing in the Amazon as a driver of concentration‐discharge relationships |
title_fullStr |
River mixing in the Amazon as a driver of concentration‐discharge relationships |
title_full_unstemmed |
River mixing in the Amazon as a driver of concentration‐discharge relationships |
title_sort |
River mixing in the Amazon as a driver of concentration‐discharge relationships |
author |
Bouchez, Julien |
author_facet |
Bouchez, Julien Moquet, Jean Sébastien Espinoza, Jhan Carlo Martinez, Jean‐Michel Guyot, Jean‐Loup Lagane, Christelle Filizola, Naziano Noriega, Luis Hidalgo Sánchez, Liz Pombosa, Rodrigo |
author_role |
author |
author2 |
Moquet, Jean Sébastien Espinoza, Jhan Carlo Martinez, Jean‐Michel Guyot, Jean‐Loup Lagane, Christelle Filizola, Naziano Noriega, Luis Hidalgo Sánchez, Liz Pombosa, Rodrigo |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Bouchez, Julien Moquet, Jean Sébastien Espinoza, Jhan Carlo Martinez, Jean‐Michel Guyot, Jean‐Loup Lagane, Christelle Filizola, Naziano Noriega, Luis Hidalgo Sánchez, Liz Pombosa, Rodrigo |
dc.subject.none.fl_str_mv |
Concentration‐discharge (C‐Q) relationships Amazon River C‐Q hysteresis loops Tributary mixing Spectral analysis |
topic |
Concentration‐discharge (C‐Q) relationships Amazon River C‐Q hysteresis loops Tributary mixing Spectral analysis http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 http://purl.org/pe-repo/ocde/ford#1.05.11 |
dc.subject.ocde.none.fl_str_mv |
http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 http://purl.org/pe-repo/ocde/ford#1.05.11 |
description |
Large hydrological systems aggregate compositionally different waters derived from a variety of pathways. In the case of continental‐scale rivers, such aggregation occurs noticeably at confluences between tributaries. Here we explore how such aggregation can affect solute concentration‐discharge (C‐Q) relationships and thus obscure the message carried by these relationships in terms of weathering properties of the Critical Zone. We build up a simple model for tributary mixing to predict the behavior of C‐Q relationships during aggregation. We test a set of predictions made in the context of the largest world's river, the Amazon. In particular, we predict that the C‐Q relationships of the rivers draining heterogeneous catchments should be the most “dilutional” and should display the widest hysteresis loops. To check these predictions, we compute 10 day‐periodicity time series of Q and major solute (Si, Ca²⁺, Mg²⁺, K⁺, Na⁺, Cl‐, urn:x-wiley:00431397:media:wrcr22891:wrcr22891-math-0001) C and fluxes (F) for 13 gauging stations located throughout the Amazon basin. In agreement with the model predictions, C‐Q relationships of most solutes shift from a fairly “chemostatic” behavior (nearly constant C) at the Andean mountain front and in pure lowland areas, to more “dilutional” patterns (negative C‐Q relationship) toward the system mouth. More prominent C‐Q hysteresis loops are also observed at the most downstream stations. Altogether, this study suggests that mixing of water and solutes between different flowpaths exerts a strong control on C‐Q relationships of large‐scale hydrological systems. |
publishDate |
2017 |
dc.date.accessioned.none.fl_str_mv |
2018-08-07T11:36:31Z |
dc.date.available.none.fl_str_mv |
2018-08-07T11:36:31Z |
dc.date.issued.fl_str_mv |
2017-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.citation.none.fl_str_mv |
Bouchez, J., Moquet, J. -S., Espinoza, J. C., Martinez, J.‐M., Guyot, J. ‐L., Lagane, C., ... Pombosa, R. (2017). River mixing in the Amazon as a driver of concentration‐discharge relationships.==$Water Resources Research, 53$==(11), 8660-8685. https://doi.org/10.1002/2017WR020591 |
dc.identifier.govdoc.none.fl_str_mv |
index-oti2018 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12816/2281 |
dc.identifier.journal.none.fl_str_mv |
Water Resources Research |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1002/2017WR020591 |
identifier_str_mv |
Bouchez, J., Moquet, J. -S., Espinoza, J. C., Martinez, J.‐M., Guyot, J. ‐L., Lagane, C., ... Pombosa, R. (2017). River mixing in the Amazon as a driver of concentration‐discharge relationships.==$Water Resources Research, 53$==(11), 8660-8685. https://doi.org/10.1002/2017WR020591 index-oti2018 Water Resources Research |
url |
http://hdl.handle.net/20.500.12816/2281 https://doi.org/10.1002/2017WR020591 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
urn:issn:0043-1397 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licences/by/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licences/by/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.spatial.none.fl_str_mv |
Cuenca del río Amazonas Perú |
dc.publisher.none.fl_str_mv |
American Geophysical Union (AGU) |
publisher.none.fl_str_mv |
American Geophysical Union (AGU) |
dc.source.none.fl_str_mv |
reponame:IGP-Institucional instname:Instituto Geofísico del Perú instacron:IGP |
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Instituto Geofísico del Perú |
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IGP |
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IGP-Institucional |
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Bouchez, JulienMoquet, Jean SébastienEspinoza, Jhan CarloMartinez, Jean‐MichelGuyot, Jean‐LoupLagane, ChristelleFilizola, NazianoNoriega, LuisHidalgo Sánchez, LizPombosa, RodrigoCuenca del río AmazonasPerú2018-08-07T11:36:31Z2018-08-07T11:36:31Z2017-11Bouchez, J., Moquet, J. -S., Espinoza, J. C., Martinez, J.‐M., Guyot, J. ‐L., Lagane, C., ... Pombosa, R. (2017). River mixing in the Amazon as a driver of concentration‐discharge relationships.==$Water Resources Research, 53$==(11), 8660-8685. https://doi.org/10.1002/2017WR020591index-oti2018http://hdl.handle.net/20.500.12816/2281Water Resources Researchhttps://doi.org/10.1002/2017WR020591Large hydrological systems aggregate compositionally different waters derived from a variety of pathways. In the case of continental‐scale rivers, such aggregation occurs noticeably at confluences between tributaries. Here we explore how such aggregation can affect solute concentration‐discharge (C‐Q) relationships and thus obscure the message carried by these relationships in terms of weathering properties of the Critical Zone. We build up a simple model for tributary mixing to predict the behavior of C‐Q relationships during aggregation. We test a set of predictions made in the context of the largest world's river, the Amazon. In particular, we predict that the C‐Q relationships of the rivers draining heterogeneous catchments should be the most “dilutional” and should display the widest hysteresis loops. To check these predictions, we compute 10 day‐periodicity time series of Q and major solute (Si, Ca²⁺, Mg²⁺, K⁺, Na⁺, Cl‐, urn:x-wiley:00431397:media:wrcr22891:wrcr22891-math-0001) C and fluxes (F) for 13 gauging stations located throughout the Amazon basin. In agreement with the model predictions, C‐Q relationships of most solutes shift from a fairly “chemostatic” behavior (nearly constant C) at the Andean mountain front and in pure lowland areas, to more “dilutional” patterns (negative C‐Q relationship) toward the system mouth. More prominent C‐Q hysteresis loops are also observed at the most downstream stations. Altogether, this study suggests that mixing of water and solutes between different flowpaths exerts a strong control on C‐Q relationships of large‐scale hydrological systems.Por paresapplication/pdfengAmerican Geophysical Union (AGU)urn:issn:0043-1397info:eu-repo/semantics/openAccesshttps://creativecommons.org/licences/by/4.0/Concentration‐discharge (C‐Q) relationshipsAmazon RiverC‐Q hysteresis loopsTributary mixingSpectral analysishttp://purl.org/pe-repo/ocde/ford#1.05.00http://purl.org/pe-repo/ocde/ford#1.05.09http://purl.org/pe-repo/ocde/ford#1.05.11River mixing in the Amazon as a driver of concentration‐discharge relationshipsinfo:eu-repo/semantics/articlereponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALbouchez2017.pdfbouchez2017.pdfapplication/pdf3181865https://repositorio.igp.gob.pe/bitstreams/59561bdf-08de-4f95-a91b-adba0dc633f2/download8c05af1230d9f0a2f1b87373de1b36baMD53LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/57558c08-1b81-4ca2-bde6-adb3e0968746/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILbouchez2017.pdf.jpgbouchez2017.pdf.jpgIM Thumbnailimage/jpeg99394https://repositorio.igp.gob.pe/bitstreams/46959afb-2fec-4602-ae46-7dcb269ca52d/download46160c800490369692f51814478a6adeMD54TEXTbouchez2017.pdf.txtbouchez2017.pdf.txtExtracted texttext/plain91579https://repositorio.igp.gob.pe/bitstreams/d426bd1a-feab-4244-a4d5-e5c6cc1f5a02/download6c0908a7aa3e046aa90965c6746cdad8MD5520.500.12816/2281oai:repositorio.igp.gob.pe:20.500.12816/22812024-10-01 16:35:49.15https://creativecommons.org/licences/by/4.0/info:eu-repo/semantics/openAccessrestrictedhttps://repositorio.igp.gob.peRepositorio Geofísico Nacionalbiblio@igp.gob.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 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).