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Record W2811035229 · doi:10.11575/prism/32239

Relationships between nitrogen, phosphorus and diel dissolved oxygen cycles in the Bow River, Calgary, Alberta before and after a century-scale flood

2018· dissertation· en· W2811035229 on OpenAlexaboutno aff
Jarvis Garry Singer

Bibliographic record

VenuePRISM (University of Calgary) · 2018
Typedissertation
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsDiel vertical migrationFlood mythEnvironmental sciencePhosphorusNitrogenScale (ratio)Hydrology (agriculture)OceanographyGeographyEngineeringGeologyChemistryArchaeologyCartographyGeotechnical engineering

Abstract

fetched live from OpenAlex

High nutrient loading to rivers increases aquatic plant and algal growth resulting in low dissolved oxygen (DO) concentrations. The overall objective of this thesis was to examine the relationship of nitrogen (N) and phosphorus (P) in diel DO cycles induced by periphyton and macrophyte photosynthesis and respiration in the Bow River. I tested periphyton and macrophyte nutrient limitation status directly using fertilization experiments at multiple locations within Calgary’s wastewater treatment plant (WWTP) effluent affected urban footprint. My results show that immediately after the 2013 flooding, primary production was limited by P (periphyton) or N+P (macrophytes). I investigated empirical relationships between periphyton, macrophytes and diel dissolved oxygen concentrations before and after a 1 in 100-year flooding event. The near complete removal of macrophytes was associated with only a transient decrease in the magnitude of diel DO oscillations at sites downstream of WWTPs.

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 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 score0.035
Threshold uncertainty score0.995

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 head0.006
GPT teacher head0.180
Teacher spread0.174 · 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 teacher head, 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
Published2018
Admission routes1
Has abstractyes

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