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dc.contributor.author Bouchez, Julien
dc.contributor.author Moquet, Jean Sébastien
dc.contributor.author Espinoza, Jhan Carlo
dc.contributor.author Martinez, Jean‐Michel
dc.contributor.author Guyot, Jean‐Loup
dc.contributor.author Lagane, Christelle
dc.contributor.author Filizola, Naziano
dc.contributor.author Noriega, Luis
dc.contributor.author Hidalgo Sánchez, Liz
dc.contributor.author Pombosa, Rodrigo
dc.coverage.spatial Cuenca del río Amazonas
dc.coverage.spatial Perú
dc.date.accessioned 2018-08-07T11:36:31Z
dc.date.available 2018-08-07T11:36:31Z
dc.date.issued 2017-09-12
dc.identifier.citation 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 es_ES
dc.identifier.govdoc index-oti2018
dc.identifier.uri http://hdl.handle.net/20.500.12816/2281
dc.description.abstract 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. es_ES
dc.format application/pdf es_ES
dc.language.iso eng es_ES
dc.publisher American Geophysical Union (AGU) es_ES
dc.relation.ispartof urn:issn:0043-1397
dc.rights info:eu-repo/semantics/restrictedAccess es_ES
dc.subject Concentration‐discharge (C‐Q) relationships es_ES
dc.subject Amazon River es_ES
dc.subject C‐Q hysteresis loops es_ES
dc.subject Tributary mixing es_ES
dc.subject Spectral analysis es_ES
dc.title River mixing in the Amazon as a driver of concentration‐discharge relationships es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#1.05.00 es_ES
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#1.05.09 es_ES
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#1.05.11 es_ES
dc.identifier.journal Water Resources Research es_ES
dc.description.peer-review Por pares es_ES
dc.identifier.doi https://doi.org/10.1002/2017WR020591 es_ES

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