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Record W2890468270

UNDERSTANDING HYDROLOGICAL PROCESSES AND WATER FLUXES LINKING WETLAND PONDS AND GROUNDWATER IN THE PRAIRIE POTHOLE REGION

2018· dissertation· en· W2890468270 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicAquatic and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPothole (geology)WetlandEnvironmental scienceGroundwaterHydrology (agriculture)Water resource managementGeographyEcologyGeologyGeomorphologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Understanding surface water-groundwater interaction processes and quantification of hydrological fluxes remains a scientific challenge in hydrology. However, comprehensive understanding of groundwater interactions with the surface and more accurate estimates of hydrologic fluxes are essential for water resources and environmental management and policy. Numerous hydrological studies conducted in the glaciated Prairie Pothole region focused mainly on the importance of wetland ponds and their relationship with shallow groundwater in the till using physical, geophysical and water chemistry measurements, and numerical models. In this thesis, I combined field observations, isotopes of water and geochemical tracers (δ2H, δ18O, lc-excess, 3H and Cl-, SO42-), to develop a physical isotope model to quantify water fluxes, examine interactions between surface water and the relatively deeper intertill aquifers (< 50 m), and assess the pathways of water and solutes from the ponds, uplands and lowlands areas hummocky landscape. My field campaign spanned between 2013 and 2016 at the St Denis National Research Area in Saskatchewan, Canada, where additional soil, hydrometric and water isotope data were collected to complement the existing previously collected stable isotope, hydraulic and hydrometric data. The data show that water isotope compositions of ponds are reflective of seasons and residence time, and this property is useful for quantifying spatial surface water fluxes. Pond water infiltration rates estimated from the new model show that ephemeral ponds have the highest outflow rates, and pond-subsurface interactions can be determined without groundwater heads. The water isotopes and hydrometric measurements indicate that interaction between ponds and the intertill aquifer is limited to ponds upland, and water from ephemeral ponds are the dominant source of depression-focused recharge to the intertill aquifer. The stable isotopes and dissolved ions data showed that rapid downward advective movement of water occurs in the shallow weathered zone throughout the till and at all landscape positions and this water could serve as recharge water to the aquifer. The work represents a distinct contribution to the literature regarding our understanding of the hydrological processes linking wetland ponds and groundwater in the prairie pothole region.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.071
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

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

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 head0.057
GPT teacher head0.225
Teacher spread0.168 · 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

Quick stats

Citations5
Published2018
Admission routes1
Has abstractyes

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