IAHS2022-658
https://doi.org/10.5194/iahs2022-658
IAHS-AISH Scientific Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

A combined mixing model for high-frequency concentration-discharge relationships

Gaëlle Tallec1, José Manuel Tunqui Neira1, Vazken Andréassian1, and Jean-Marie Mouchel2
Gaëlle Tallec et al.
  • 1Université Paris-Saclay, INRAE, HYCAR Research Unit, 92761 Antony, France
  • 2Sorbonne Université, CNRS, EPHE, UMR METIS 7619, Paris, France

Streamflow is the major factor influencing the evolution of solute concentration in river water and different modelling approaches exist to characterize the dependency of concentration to discharge: the simplest are based on measurable quantities (stream discharge and stream water concentration) but do not allow for an explicit, physical, flow-path interpretation; the more complex are based on mixing assumptions with different end-members sources, but require the knowledge of (unmeasurable) flow components. We present here an approach allowing to combine the simple concentration-discharge (C-Q) models with the Mass Balance (MB) mixing approach. This combined model tested on high-frequency ionic concentration series from the ORACLE-Orgeval observatory (France), where it clearly outperforms the commonly-used models applied separately. Thanks to the temporal density of the dataset, model performances are tested at different hydrological scales.

How to cite: Tallec, G., Tunqui Neira, J. M., Andréassian, V., and Mouchel, J.-M.: A combined mixing model for high-frequency concentration-discharge relationships, IAHS-AISH Scientific Assembly 2022, Montpellier, France, 29 May–3 Jun 2022, IAHS2022-658, https://doi.org/10.5194/iahs2022-658, 2022.