1. Coupling groundwater age tracers (CFCs) and in-stream solute time series (DSi) to decipher the reactivity of crystalline watersheds
- Author
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Luca Guillaumot, Jean Marçais, Jean-Raynald de Dreuzy, Thierry Labasque, Louis A. Derry, Luc Aquilina, Gilles Pinay, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Géosciences Rennes (GR), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Observatoire des Sciences de l'Univers de Rennes (OSUR), International Institute for Applied Systems Analysis [Laxenburg] (IIASA), Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Physique du Globe de Paris (IPGP (UMR_7154)), and Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
- Subjects
Coupling (electronics) ,Series (mathematics) ,13. Climate action ,Chemical physics ,Chemistry ,[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry ,Reactivity (chemistry) ,[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology ,6. Clean water ,Groundwater - Abstract
International audience; If weathered-derived solutes time series can characterize theexported weathering flux [kg/ha/yr] of a given catchment, thesetime series alone are uninformative to characterize theweathering reactivity of a given landscape, ie its weatheringdynamic, leading to a given water quality in streamwater.Similarly, weathering rates derived from batch reactors aredifficult to upscale to estimate the weathering reactivity at thefield scale (White and Brantley, 2003). For these reasons, wepropose here to develop a model-based coupling betweenintermediate age tracers (ages representative of circa 10 to 100years) with long and in stream dissolved silica time series (15 yrslong) to characterize the weathering enrichment rate (inmMol/yr) water in different Brittany catchments.We developed a quasi-2D hillslope model that represents thepartitioning between stratified groundwater flows and fast flowsarising close to the surface seasonally, when the aquiferintersects the land surface. Coupled to a Lagrangian particletracking technique, the model is able to represent thestreamwater transit time distributions dynamics at the catchmentscale. We then collected CFCs measurements in wells, springsand streams to characterize the mean transit time variability ofthe different water storages. We calibrate the different watercompartments (storage capacity and flux coming from thedifferent storages) with discharge time series and CFCsmeasurements.We found that the seasonal dynamic of the transit timedistributions is correlated with the DSi observations. By adding afirst order kinetic law to represent the apparent weatheringactivity, we were able to generate numerical DSi concentrationstime series and to reproduce the seasonal patterns observed. Wefound that the weathering rates in shallow Brittany aquifers arecirca 0.003 mMol/yr, consistent with previous weatheringestimated carried in crystalline aquifers
- Published
- 2021