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Record W3144270725 · doi:10.20381/ruor-26011

Controls of Lithium and Strontium Isotopes Spatial Variability Across the Yukon River Basin: Implications for Weathering in a Warming Basin

2021· dissertation· en· W3144270725 on OpenAlexaboutno aff
Myunghak Kang

Bibliographic record

VenueuO Research (University of Ottawa) · 2021
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsWeatheringStructural basinIsotopes of strontiumDrainage basinStrontiumGeologyEarth scienceEnvironmental scienceGeochemistryHydrology (agriculture)Physical geographyGeomorphologyGeographyCartographyChemistryGeotechnical engineering

Abstract

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The Yukon River drains a large catchment underlain by a range of geological units characterized by diverse topography, environmental conditions, and land cover. The Yukon River catchment also displays a permafrost cover gradient and has active alpine glaciers in its headwaters. With ongoing warming, permafrost degradation, glaciers retreat, and land cover changes, the hydrochemistry of the Yukon River will likely change with risks for water quality and ecosystem sustainability. Here, we report elemental and isotopic data across the Yukon River to unravel the processes controlling the geochemistry of the dissolved load across the watershed and investigate the sensitivity of hydrochemistry to climate conditions. We analyze 102 samples from most major tributaries of the Yukon River for major and trace elements, strontium isotope ratio (⁸⁷Sr/⁸⁶Sr) and lithium isotope composition (δ⁷Li). Elemental and isotopic geochemistry displays strong spatial patterns that primarily correlate with lithological, topographic and climatic characteristics over the watershed. In the glacial and mountainous headwaters, we observe low Li/Na ratio and low δ⁷Li values (<15‰). We suggest that glaciated headwaters are characterized by a very high denudation rate and low secondary mineral formation rate explaining the low δ⁷Li values. In most of the permafrost-covered lowlands, we observe relatively constant Li/Na ratio and δ⁷Li values suggesting that weathering intensity is at a steady state. Conversely, in the non-permafrost-covered lowlands, we observe higher and more variable Li/Na ratio and δ⁷Li values suggesting increased weathering intensity when permafrost is absent. In the lowlands, glaciated or not, ⁸⁷Sr/⁸⁶Sr ratios remain within a tight range of values (0.709-0.715) and reflect the variable contribution of carbonate and silicate units throughout the basin. We found an interesting relationship between δ⁷Li values and ⁸⁷Sr/⁸⁶Sr ratios, suggesting a strong geology influence on weathering processes. When ⁸⁷Sr/⁸⁶Sr are low or very high, δ⁷Li values tend to be high (>25‰), whereas when ⁸⁷Sr/⁸⁶Sr are intermediate δ⁷Li values are low. We argue that the presence of igneous rock units within the catchment is an important control of weathering intensity as igneous rock units can contribute fresh primary minerals for weathering reactions. Weathering intensity is also strongly associated with temperature and permafrost cover across the Yukon River. As temperature increases and permafrost thaws, the weathering intensity increases, modifying the flux of elements to rivers. As the climate continues to warm in the future, the Yukon River hydrochemistry will continue to evolve, reflecting the increased contribution of soils and clays to river water chemistry.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.282
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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