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Record W2603125891 · doi:10.4095/292545

Étude quantitative des ressources en eau souterraine

2013· report· fr· W2603125891 on OpenAlexaffabout
Miroslav Nastev, Martine M. Savard, Daniel Paradis, René Lefebvre, Martin Ross

Bibliographic record

Venuenot available
Typereport
Languagefr
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsEnvironmental scienceEconomics

Abstract

fetched live from OpenAlex

The aquifer system in the Lower Laurentians region of southwestern Quebec is hosted primarily by Cambro-Ordovician fractured sedimentary rocks that are part of the geological province known as the St. Lawrence Platform. The most transmissive unit of the aquifer is found at the top of the rock sequence and consists of highly fractured rocks and a layer of glaciofluvial Quaternary sediments. The floor of the aquifer is located 100 m below the surface, where the rocks become less permeable, and the aquifer is capped by Quaternary deposits of till and clay. In terms of quality as it relates to human health, an evaluation of exceedances of government criteria indicates that groundwater quality throughout most of the study area is good. At the regional level, groundwater is relatively uncontaminated by human activities. The study area was subdivided into seven sectors, which were classified on the basis of relative groundwater quality. The sectors with the highest groundwater quality are Saint-Hermas, Riviere du Nord, and a sector made up of the three subsectors of Lachute/Saint-Janvier, Sainte- Monique/Saint-Eustache, and Cote Saint-Vincent. The areas most vulnerable to contamination from the surface occupy approximately 35% of the study area. The remaining 65% is naturally protected by impermeable till and clay layers. The rate of anthropogenic use of groundwater during the study period was 14.8 x 106 m3/a, equivalent to a water depth of 11 mm/a throughout the area. The primary uses of groundwater are human consumption (42%), quarry operations (37%) and, to a lesser extent, agricultural consumption (17%). Golf course irrigation (~1%) and commercial water bottling (3%) account for a small percentage of current use. The annual rate of total extraction for human activities is considered to be sustainable because the resulting drawdown does not exceed the average natural fluctuation in piezometric levels. In some areas, annual extraction could be sustainably increased to as much as 26 x 106 m3/a.

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)0.005
metaresearch head score (Gemma)0.009
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 score0.447
Threshold uncertainty score0.889

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0060.008
Science and technology studies0.0010.001
Scholarly communication0.0060.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.004

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 head0.057
GPT teacher head0.258
Teacher spread0.201 · 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
Published2013
Admission routes2
Has abstractyes

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