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Record W2581124889 · doi:10.20381/ruor-722

Evaluating Groundwater In a Permafrost Watershed Using Seasonal Geochemical and Isotope Discharge Trends, Ogilvie River, Yukon

2017· dissertation· en· W2581124889 on OpenAlexaboutno aff
Natalia Valentinovna Baranova

Bibliographic record

VenueuO Research (University of Ottawa) · 2017
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostGroundwaterWatershedHydrology (agriculture)Environmental scienceGeologyPhysical geographyEarth scienceGeographyOceanographyGeotechnical engineering

Abstract

fetched live from OpenAlex

This study focuses on a mid-sized watershed of upper Ogilvie River (~4,500 km2 at the western extent of the 77,000 km2 Peel River basin) located at the northern extent of the discontinuous permafrost in central Yukon. Annual hydrograph is analyzed by characterizing the river flow components using geochemical tracers (anions, cations, and dissolved organic and inorganic carbon), stable isotopes (δ2H, δ18O, and δ13C) and radioactive isotopes (14C and 3H). The 2014 and 2015 flows are characterized by high weathering solute concentrations (Ca2+, Mg2+, SO42-, and DIC) in the winter that spike just prior to freshet, diluted to the lowest concentrations at the peak of freshet, and slowly recover throughout the summer and fall responding to overall flow fluctuations. Biogenic solutes (K+ and DOC) are lowest in the winter time and spike at the start of freshet. Two groundwater components, shallow and deep, were identified with corresponding tritium-based residence times of less than a year and three years, respectively. The local meteoric water line, developed based on the local precipitation samples δ2H=6.77·δ18O-24.54 (R2=0.98), was used to determine the recharge mix of the groundwaters: 65% rain and 35% snowmelt. The recharge waters interact greatly with soil (open system weathering) and carbonate bedrock (closed system weathering) as evident via the δ13C and F14C signatures of the active layer waters, shallow groundwater and deep groundwater. Radiocarbon of DIC proved to be an important tool to differentiate the weathering conditions by demonstrating F14C carbonate dilution resulting in groundwater F14C as low as 0.57. Based on the δ18O based hydrograph separation, deep groundwater comprised almost half of the annual discharge. The groundwater discharge reached its maximum flow of 129 m3/s during freshet when it contributed 44% to the flow. The potential groundwater recharge pathways include thermal contraction cracks in permafrost and bedrock fractures. The recharge is thought to occur over vegetated areas. In the summer, likely only large precipitation events result in recharge. In comparison to discharge, the annual DIC exports from the study catchment (5.6 gC/m2/yr) were disproportionally high in the winter time and the DOC exports (2.1 gC/m2/yr) varied proportionally with discharge.

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 score0.753
Threshold uncertainty score0.490

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.157
GPT teacher head0.369
Teacher spread0.212 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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