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Record W1979631146 · doi:10.4296/cwrj3504451

Groundwater Recharge Assessment in the Chateauguay River Watershed

2010· article· en· W1979631146 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Water Resources Journal / Revue canadienne des ressources hydriques · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsGroundwater rechargeBaseflowEvapotranspirationHydrology (agriculture)Environmental scienceSurface runoffPrecipitationHydrographWatershedStreamflowGroundwaterDrainage basinAquiferGeologyGeographyEcologyMeteorology

Abstract

fetched live from OpenAlex

L’objectif de cette étude était d’évaluer la recharge des aquifères sur le territoire du bassin versant de la rivière Châteauguay. On a utilisé le modèle HELP (Hydrologic Evaluation of Landfill Performance) pour évaluer les valeurs journalières de recharge, d’évapotranspiration et de ruissellement. On a divisé la zone d’étude en mailles de 250 × 250 m pour un total de 47 616 éléments. Les données d’entrée incluent les propriétés physiques des sols, l’utilisation du territoire, le couvert végétal et les données climatiques. Le modèle HELP a été calé sur les estimations de débit de base et de ruissellement obtenues à partir de la séparation de cinq hydrogrammes de rivière. Sur une période de 39 ans, le taux de recharge annuel moyen a été évalué à 86 mm, ou 9% des précipitations totales. Dans le bassin versant, les zones ayant des niveaux piézométriques élevés et des conditions d’écoulement de nappe libre ont été identifiées comme étant les principales zones de recharge. Les résultats journaliers indiquent que la recharge se fait principalement au printemps et à l’automne. Durant la période d’observation, les variations annuelles d’évapotranspiration et de ruissellement sont directement corrélées aux précipitations, alors que les réponses annuelles de la recharge demeurent assez constantes. Le modèle HELP a aussi été utilisé pour évaluer des scénarios potentiels de changement climatique à partir des données des années les plus sèches et les plus humides. La recharge annuelle moyenne pour l’année la plus sèche est de 51 mm et pour l’année la plus humide, de 99 mm. Les différences dans la distribution spatiale de la recharge lors des scénarios indiquent que les zones les plus sensibles aux changements climatiques sont les zones de recharge préférentielles.
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\n<h2>Abstract</h2>
\nThe objective of this study was to evaluate groundwater recharge in the Chateauguay River watershed. The Hydrologic Evaluation of Landfill Performance (HELP) model was used to assess daily values of recharge, evapotranspiration and runoff. The study area was divided into a regular grid, 250 m × 250 m, for a total of 47,616 grid elements. The input parameters included soil physical properties, land use, vegetation and climate data. Calibration of HELP was carried out against runoff and baseflow estimates obtained from separation of five river hydrographs. Over a 39 year period, the mean annual recharge rate was estimated at 86 mm, or 9% of the total precipitation. Areas characterized by high water level elevations and unconfined flow conditions were identified as the main recharge areas. Daily estimates show that recharge takes place mainly in spring and fall. Over the observed period, the annual variations of evapotranspiration and runoff were directly related to changes in precipitation, whereas the annual recharge response was subdued, with much lower variations. HELP was also used to assess potential climate change scenarios using data for the driest and most humid years. The mean annual recharge was 51 mm for the driest year and 99 mm for the most humid year. Differences in the spatial distribution of recharge for the predictive scenarios indicate that the areas most sensitive to climate change correspond to the preferential recharge areas.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.002
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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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