Bouchez J., Moquet J. S., Espinoza J. C., Martinez Jean-Michel, Guyot Jean-Loup, Lagane Christelle, Filizola N., Noriega L., Sanchez L. H., Pombosa R. (2017). River mixing in the Amazon as a driver of concentration-discharge relationships. Water Resources Research, 53 (11), p. 8660-8685. ISSN 0043-1397.
Titre du document
River mixing in the Amazon as a driver of concentration-discharge relationships
Année de publication
2017
Auteurs
Bouchez J., Moquet J. S., Espinoza J. C., Martinez Jean-Michel, Guyot Jean-Loup, Lagane Christelle, Filizola N., Noriega L., Sanchez L. H., Pombosa R.
Source
Water Resources Research, 2017,
53 (11), p. 8660-8685 ISSN 0043-1397
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-, SO42-) 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.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Hydrologie [062]
Localisation
Fonds IRD [F B010071962]
Identifiant IRD
fdi:010071962
