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Record W1976775789 · doi:10.1002/hyp.6425

Generation of streamflow to seasonal high waters in a freshwater delta, northwestern Canada

2006· article· en· W1976775789 on OpenAlexafffundabout
Daniel L. Peters, Terry D. Prowse

Bibliographic record

VenueHydrological Processes · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsImpactUniversity of Victoria
FundersBC Hydro
KeywordsTributarySurface runoffHydrology (agriculture)SnowmeltWetlandDeltaStreamflowEnvironmental scienceDrainage basinRiver deltaPrecipitationGeologyGeographyEcology

Abstract

fetched live from OpenAlex

Abstract Shallow lakes and wetlands in the Peace‐Athabasca Delta (PAD), one of the world's largest freshwater deltas located in northwestern Canada, are dependent on occasional flooding to replenish evaporated water. The hydrology of the PAD has experienced natural and human induced changes in recent times. Since the early 1970s, there has been a desire to restore water to perched wetlands by managing inundation of the perimeter deltas. Before such plans are implemented, it is important to understand the generation of annual peak ice‐induced and open‐water floodwaters to this Nordic delta. The hydroclimatology, physiography, size, and relative locations of sub‐basins exert a strong control on the runoff response. Ice‐jam floods in the lower Athabasca and Peace Rivers are generated by large snowmelt runoff from ‘trigger tributaries’ located in the downstream (foothills and plains) portions of the basin. Flood flows during the open‐water period are primarily generated by heavy rainfall runoff originating from the more elevated foothill/mountain regions where the precipitation process is enhanced by orography. In general, storage of alpine runoff in the headwaters of the Peace River places an increased dependence on downstream tributaries of the system to produce extreme flow events to the delta. Recommendations are made for additional hydrological modelling studies to assess the potential change to generation of extreme events from additional water retention/diversion schemes, land‐use change, and a changing hydroclimate within the upstream contributing basins of the PAD. Copyright © 2006 Crown in the right of Canada. Published by John Wiley & Sons, Ltd.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.998

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)0.0030.000

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 head0.034
GPT teacher head0.214
Teacher spread0.180 · 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.

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

Citations32
Published2006
Admission routes3
Has abstractyes

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