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Record W6982568131

Investigating the role of the Smoky River watershed on past ice-jam flood regimes at the Peace-Athabasca Delta via analysis of oxbow lake sediment cores

2022· dissertation· en· W6982568131 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2022
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsFlood mythTributaryHydrology (agriculture)Flooding (psychology)SnowmeltFlood stageWatershedClimate changeDelta
DOInot available

Abstract

fetched live from OpenAlex

The Peace-Athabasca Delta (PAD) in northern Alberta has been a focus of concern for decades due to decline in frequency and magnitude of ice-jam floods that sustain ecologically and culturally significant shallow perched lakes. Recent changes to the ice-jam flood regime of the PAD have been attributed to two main stressors, river regulation and climate change, however, the relative influence of each remains a topic of much scientific debate. Hydroelectric regulation of Peace River flow by the W.A.C. Bennett Dam began in 1968 and is widely considered to be the main cause for reduced flooding at the PAD. Longer temporal perspectives provided by paleolimnological records, however, indicate a decline in flood frequency since the early 1900s as a result of climate change. A large proportion of Peace River flow at the time when spring ice-jams floods typically occur is attributed to snowmelt runoff from unregulated ‘trigger tributaries’ including the Smoky and Wabasca rivers. However, our current understanding of the influence of spring discharge from these tributaries on ice-jam flooding and the subsequent recharge of perched basins at the PAD is restricted to the limited hydrometric data available since 1955. To gain a broader temporal perspective of the contribution of the Smoky River to ice-jam flooding at the PAD, sediment cores from two oxbow lakes adjacent to the Little Smoky River were investigated using paleolimnological techniques. Results from loss-on-ignition, x-ray fluorescence, and grain size collectively provide sensitive indicators of shifting flood regimes in the Smoky River watershed during the past ~160-340 years. Temporal variations in flood influence at the Smoky oxbow lakes and paleolimnological records from oxbow lakes in the Wabasca River watershed and at the PAD were characterized by four distinct phases during the past ~340 years. Phases 1 (~1680-1790) and 3 (~1850-1930) were identified as intervals of stronger flood influence while Phases 2 (~1790-1850) and 4 (~1930-2019) were interpreted as intervals of weaker flood influence. Notably, the most recent transition to weaker flood influence began in the early to mid-1900s. Strong agreement between flood records from the unregulated Smoky and Wabasca river watersheds and the PAD asserts the dominant role of climate on ice-jam flood regimes at the PAD via spring discharge from unregulated upstream tributaries. This research provides additional evidence of climate as the major driver of hydrological change at the PAD and should be considered in the development of water resource management strategies and in UNESCO’s upcoming decision on the future of Wood Buffalo National Park’s World Heritage status.

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 score0.815
Threshold uncertainty score0.368

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.006
GPT teacher head0.176
Teacher spread0.170 · 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
Published2022
Admission routes1
Has abstractyes

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