Isotope Ratio – Discharge Relationships of Solutes Derived From Weathering Reactions

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ID: 302476
2023
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Abstract
To date, the vast majority of studies seeking to link discharge to solute concentrations have been based on representations of fluid age distributions in watersheds that are time-invariant. As increasingly detailed spatial and temporal datasets become available for weathering-derived riverine solute concentrations, the capacity to link this mass flux to transient routing of reactive fluids through Critical Zone environments is vital to quantitative interpretation. Relationships between fluid age distributions and the stable isotope ratios of these geogenic solutes are even less developed, yet these signatures are vital to parsing the suite of water-rock-life interactions that create concentration-discharge relationships. Here we offer the first merging of a hydrological model featuring time-variant fluid age distributions with a geochemical model for isotopically fractionating weathering reactions. Using SiO 2(aq) and the corresponding silicon isotope ratio δ 30 Si as an example, we show that the stable isotope signatures of riverine solutes produced by weathering reactions reflect a component of the fluid age distribution that is unique to the corresponding solute concentrations. This distinct sensitivity is the result of a stronger link between isotope ratios and the age distribution parameters describing a given watershed. This novel modeling framework is used to provide a quantitative basis for the interpretation of SiO 2(aq) and δ 30 Si in six low-order streams spread across a diversity of climates, geologies, and ecosystems. To our knowledge, this is the first forward and process-based model to describe the isotopic signatures of solutes derived from weathering reactions in watersheds subject to time-varying discharge.
Reference Key
openalex_W4385829168 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jennifer L. Druhan, Paolo Benettin
Journal american journal of science
Year 2023
DOI
10.2475/001c.84469
URL
https://ajs.scholasticahq.com/article/84469.pdf
Keywords Keywords not found

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