Antecedent Hydrologic Conditions Reflected in Stream Lithium Isotope Ratios During Storms

Abstract Antecedent hydrological conditions are recorded through the evolution of dissolved lithium isotope signatures (Li) by juxtaposing two storm events in an upland watershed subject to a Mediterranean climate. Discharge and Li are negatively correlated in both events, but mean Li ratios and associated ranges of variation are distinct between them. We apply a previously developed reactive transport model (RTM) for the site to these event‐scale flow perturbations, but observed shifts in stream Li are not reproduced. To reconcile the stability of the subsurface solute weathering profile with our observations of dynamic stream Li signatures, we couple the RTM to a distribution of fluid transit times that evolve based on storm hydrographs. The approach guides appropriate flux‐weighting of fluid from the RTM over a range of flow path lengths, or equivalently fluid residence times. This flux‐weighted RTM approach accurately reproduces dynamic storm Li‐discharge patterns distinguished by the antecedent conditions of the watershed.

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Publication Details

Journal
Geophysical Research Letters
Published
2024-09-08
DOI
https://doi.org/10.1029/2024gl109624
Citations
7
Primary Topic
Groundwater and Isotope Geochemistry
Type
article
Field-Weighted Citation Impact
2.42

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article

Antecedent Hydrologic Conditions Reflected in Stream Lithium Isotope Ratios During Storms

Jon K. Golla, Julien Bouchez, Jennifer L. Druhan
7 citations
Geophysical Research Letters
Groundwater and Isotope Geochemistry
2.42
article

Antecedent Hydrologic Conditions Reflected in Stream Lithium Isotope Ratios During Storms

Jon K. Golla, Julien Bouchez, Jennifer L. Druhan
article en
7 citations

Abstract

Abstract Antecedent hydrological conditions are recorded through the evolution of dissolved lithium isotope signatures (Li) by juxtaposing two storm events in an upland watershed subject to a Mediterranean climate. Discharge and Li are negatively correlated in both events, but mean Li ratios and associated ranges of variation are distinct between them. We apply a previously developed reactive transport model (RTM) for the site to these event‐scale flow perturbations, but observed shifts in stream Li are not reproduced. To reconcile the stability of the subsurface solute weathering profile with our observations of dynamic stream Li signatures, we couple the RTM to a distribution of fluid transit times that evolve based on storm hydrographs. The approach guides appropriate flux‐weighting of fluid from the RTM over a range of flow path lengths, or equivalently fluid residence times. This flux‐weighted RTM approach accurately reproduces dynamic storm Li‐discharge patterns distinguished by the antecedent conditions of the watershed.

Geophysical Research LettersVol. 51(17)
Lawrence Livermore National Laboratory (US), Centre National de la Recherche Scientifique (FR), Institut de physique du globe de Paris (FR), University of Illinois Urbana-Champaign (US), Université Paris Cité (FR)
National Science Foundation, U.S. Department of Energy, European Commission, Institut de Physique du Globe de Paris, Seventh Framework Programme, Lawrence Livermore National Laboratory
Openalex Percentile: Top 12%
Groundwater and Isotope Geochemistry
2.42
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