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Record W1589255031 · doi:10.1002/047147844x.gw1528

River‐Connected Aquifers: Geophysics, Stratigraphy, Hydrogeology, and Geochemistry

2004· other· en· W1589255031 on OpenAlexaffabout
Tom A. Al, Kerry T. B. MacQuarrie, Karl E. Butler, Jean‐Christophe Nadeau, Melissa R. Dawe, Larry Amskold

Bibliographic record

VenueWater Encyclopedia · 2004
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsAquiferHydrogeologyGeologyHydrology (agriculture)Aquifer propertiesInfiltration (HVAC)Water qualityGroundwaterSurficial aquiferGroundwater rechargeGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract Pumping of water from wells constructed in aquifers adjacent to a river commonly causes infiltration of river water toward the wells, thereby increasing the total available water yield. This type of water production has been used extensively in many European countries and, to a lesser extent, in North America. The flow of river water through permeable riverbed and aquifer sediments, commonly referred to as riverbank filtration, can provide filtration and general purification benefits. Some of the most important considerations in managing aquifer systems of this type include the stratigraphic controls on the flow path and infiltration flux for river water entering the aquifer, the travel time between the river and the pumping wells, and the spatial and temporal variations in geochemical reactions that occur as river water infiltrates the aquifer, leading to changes in water quality. In this contribution, the Fredericton Aquifer, which is considered typical of many alluvial‐valley water‐supply aquifers, is used as a case study to illustrate possible approaches to the characterization of river‐recharged aquifer systems, and to describe some of the important stratigraphic, hydrogeologic, and geochemical features of these systems. The combined use of geophysical, hydrogeological, and geochemical methods of investigation has led to a more complete understanding of river water infiltration toward municipal wells and the resulting water quality implications.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.440
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0160.001

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 head0.004
GPT teacher head0.171
Teacher spread0.167 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2004
Admission routes2
Has abstractyes

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