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Record W7010350224

Identifying and evaluating groundwater discharge within surface water systems through temperature measurements

2009· dissertation· en· W7010350224 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2009
Typedissertation
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGroundwaterHyporheic zoneHydrology (agriculture)Surface waterSTREAMSWater qualityPiezometerDischarge
DOInot available

Abstract

fetched live from OpenAlex

The relationship between groundwater inputs and stream temperatures has important impacts on a stream environment. Groundwater contributions and hyporheic exchanges can often support critical aquatic habitat characteristics and thus are centrally involved in maintaining desired ecological functions of the system. This research investigates groundwater-surface water exchanges within a Southern Ontario creek. Temperature measurements and observations are used to identify areas of significant groundwater discharge at multiple spatial scales. Approaches for quantifying groundwater upwelling within two geomorphic units are explored and the water quality component of HEC-RAS 4.0 is used to infer groundwater contributions for a stream segment. The overall goal of this research is to develop field techniques and tools which can be used to identify and quantify GW-SW interactions. The results indicate that temperature measurements are a practical and robust means of studying GW-SW exchanges.

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)0.001
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 score0.081
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.031
GPT teacher head0.247
Teacher spread0.215 · 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
Published2009
Admission routes1
Has abstractyes

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