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Record W1887341694 · doi:10.1002/rra.2584

COMPARISON OF THE HYDROMORPHOLOGICAL EVOLUTION OF THE L'ASSOMPTION AND OUAREAU RIVER CHANNELS (QUEBEC, CANADA)

2012· article· en· W1887341694 on OpenAlexaffabout
Lise M. Aubry, Ali A. Assani, Stacey Biron, Denis Gratton

Bibliographic record

VenueRiver Research and Applications · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsSinuosityHydrology (agriculture)Channel (broadcasting)Environmental scienceDam removalMain riverGeologyDrainage basinSedimentGeomorphologyGeographyGeotechnical engineering

Abstract

fetched live from OpenAlex

ABSTRACT The monitoring station method, which is based on comparing data before and after dam construction, is commonly used to quantify the hydromorphological impacts induced by dams. However, in the absence of pre‐dam construction data, other analytical methods may be used to detect changes downstream from dams that remain more or less constant over time. The study used one such method, the control station method, to constrain changes which may be linked to construction of the Rawdon Dam, in 1913, on the Ouareau River. Thus, a comparison of the hydrological (seasonal daily maximum flows) and morphological (mean bankfull width and sinuosity) evolution of the Ouareau and L'Assomption Rivers during the period 1930 to 2008 was carried out. The surface area as well as the climatic, lithological, land use and physiographic features of the two watersheds are nearly identical in the study area. The comparison revealed three changes that may be linked to the Rawdon Dam: an increase in the magnitude of daily maximum flows downstream from the dam for all four seasons, which is inferred to have resulted in extensive widening and low sinuosity of the Ouareau river channel downstream from the Rawdon Dam relative to the L'Assomption river channel. These types of morphological changes are consistent with changes observed downstream from some dams. The Rawdon Dam had no effect on the interannual variability of daily maximum flows, which are characterized by a significant increase in mean in winter in both watersheds. This increase, which is abrupt, occurred in 1973 for both rivers. Copyright © 2012 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.935

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 studies0.0000.001
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 head0.043
GPT teacher head0.312
Teacher spread0.269 · 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

Citations7
Published2012
Admission routes2
Has abstractyes

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