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Published April 2017 | Published + Supplemental Material
Journal Article Open

Mixing as a driver of temporal variations in river hydrochemistry: 1. Insights from conservative tracers in the Andes-Amazon transition

Abstract

The response of hillslope processes to changes in precipitation may drive the observed changes in the solute geochemistry of rivers with discharge. This conjecture is most robust when variations in the key environmental factors that affect hillslope processes (e.g., lithology, erosion rate, and climate) are minimal across a river's catchment area. For rivers with heterogenous catchments, temporal variations in the relative contributions of different tributary sub-catchments may modulate variations in solute geochemistry with runoff. In the absence of a dense network of hydrologic gauging stations, alternative approaches are required to distinguish between the different drivers of temporal variability in river solute concentrations. In this contribution, we apportion the water and solute fluxes of a reach of the Madre de Dios River (Peru) between its four major tributary sub-catchments during two sampling campaigns (wet and dry seasons) using spatial variations in conservative tracers. Guided by the results of a mixing model, we identify temporal variations in solute concentrations of the mainstem Madre de Dios that are due to changes in the relative contributions of each tributary. Our results suggest that variations in tributary mixing are, in part, responsible for the observed concentration-discharge (C-Q) relationships. The implications of these results are further explored by re-analyzing previously published C-Q data from this region, developing a theoretical model of tributary mixing, and, in a companion paper, comparing the C-Q behavior of a suite of major and trace elements in the Madre de Dios River system.

Additional Information

© 2017 American Geophysical Union. Received 31 AUG 2016; Accepted 22 FEB 2017; Accepted article online 17 MAR 2017; Published online 17 APR 2017. Financial support was provided by NSF EAR-1227192 and NSF EAR-1455352. M. Torres was supported by USC and C-DEBI fellowships. We thank ACCA Peru, Incaterra, and CREES for field support. We thank Camilo Ponton, Valier Galy, and Adan Ccahuana for field assistance. Zhenyu (David) Fu is thanked for drafting supplementary Figures 1 and 2. All of the data utilized in this study is available either in Tables 1 and 2 or in the original publications [Clark et al., 2014; Torres et al., 2015, 2016].

Attached Files

Published - Torres_et_al-2017-Water_Resources_Research.pdf

Supplemental Material - wrcr22575-sup-0001-FigureSI-S01.pdf

Supplemental Material - wrcr22575-sup-0002-DataSI-S01.txt

Supplemental Material - wrcr22575-sup-0003-DataSI-S02.mat

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August 22, 2023
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