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Title: Revisiting the concentration-discharge (C-Q) relationships with high-frequency measurements
Other Titles: Análisis de la relación caudal-concentración (C-Q) utilizando medidas de alta-frecuencia
Advisor(s): Mouchel, Jean-Marie; Andréassian, Vazken; Tallec, Gaëlle
OCDE field: https://purl.org/pe-repo/ocde/ford#1.05.01
Issue Date: 3-Dec-2019
Institution: Sorbonne Université
Abstract: Los recientes avances tecnológicos han permitido medir las concentraciones de iones disueltos en el agua de los ríos de manera continua (alta frecuencia) durante largos periodos de tiempo. Estos nuevos datos bien adaptados a las variaciones temporales de los caudales permiten, con una mayor precisión, determinar los vínculos entre los procesos hidrológicos de la cuenca hidrográfica y la química del río. Sin embargo, esta tecnología requiere del desarrollo de métodos apropiados. Este tesis intenta responder a las nuevas preguntas que surgen al día de hoy: ¿qué modelos y métodos podemos utilizar para explotar los datos de alta frecuencia y cómo transforman nuestro conocimiento de la calidad química de los ríos? Por esta razón, durante esta tesis adaptamos y/o desarrollamos diferentes métodos de relaciones matemáticas entre la concentración química y el caudal, aplicados al conjunto de datos de alta frecuencia medidos en la estación aguas abajo River-Lab del observatorio Oracle (cuenca hidrográfica del río Orgeval), Francia. Estos métodos nos permitieron modelizar de una manera eficiente las concentraciones químicas del río a través de la información brindada por el caudal.

Recent technological advances allow measuring high-frequency chemical concentrations in rivers over long periods. These new data sets, well adapted to the temporal variations of discharge, allows us today to specify the links between hydrological processes in catchments and the water stream chemistry. However, they require the development of adapted methods for data treatment. This thesis tries to answer to the following questions: which models and methods can we use to exploit high-frequency measurements and the way they are transforming our knowledge of the chemical water-quality? During the course of this thesis, we adapted different methods and methodologies originally designed for low / medium frequency data and applied then to high-frequency dataset of the River Lab of the Oracle-Orgeval observatory (France). For many years, since the size of the C-Q datasets was limited, it was difficult to analyse in much detail the precise shape of the C-Q relationship. In many cases, the power-law relationship appeared adequate, which explains its popularity, although many additions to the basic relation have been proposed to improve it. With the advent of high-frequency measuring devices, all the range of the relationship can now be included in the analysis. As a progressive alternative to the power law relationship and a log-log transformation, we propose to use a two-sided affine power scaling relationship. Hydrograph separation is perhaps one of the oldest unsolved problems of hydrology. In the thesis we aim to use jointly the Recursive Digital Filter (RDF) and Mass Balance (MB) methods in order to identify the RDF model parameter leading to the most realistic MB parameters. We show that a simple methodology proposed for the hydrograph separation (RDF-MB coupling approach) works, with a specific calibration and with the simple hypothesis of two sources of path flow. To combine the power-law relationship and the two-component mixing model, we applied the two-side affine power scaling relationship to the so-called base flow and quick flow (Cb and Cq) components, with a multicriterion identification procedure. The new combined model significantly improves, compared to power and mixing models, the simulation of stream river concentrations. Last, we develop a methodology for identifying and quantifying sources from a purely chemical point of view. The new method developed here, without any preliminary assumption on the composition of the potential sources, allows us analyzing the temporal variability of the end-member sources and their relationship to the different flow regimes.
Note: Descargue el texto completo en el repositorio institucional de la Sorbonne Université: https://tel.archives-ouvertes.fr/tel-03282322
Discipline: Geociencias, Recursos Naturales y Medio Ambiente
Grade or title grantor: Sorbonne Université
Grade or title: Doctor en la especialidad de Geociencias, Recursos Naturales y Medio Ambiente
Juror: Mouchel, Jean-Marie; Andréassian, Vazken; Tallec, Gaëlle; Moatar, Florentina; Hrachowitz, Markus; Oudin, Ludovic; Gaillardet, Jérôme
Register date: 6-Sep-2021

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Tesis (abierta en repositorio de origen)5.48 MBAdobe PDFView/Open Request a copy
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