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Record W4317851192 · doi:10.1371/journal.pwat.0000068

Spatial variations in tap water isotopes across Canada: Tracing water from precipitation to distribution and assess regional water resources

2023· article· en· W4317851192 on OpenAlexafffundabout
Shelina Bhuiyan, Yusuf Jameel, Michelle M. G. Chartrand, Gilles St‐Jean, J. J. Gibson, Clément P. Bataille

Bibliographic record

VenuePLOS Water · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsUniversity of VictoriaUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsTap waterGroundwaterHydrology (agriculture)Environmental sciencePrecipitationSurface waterSnowWater qualityWater resourcesGeographyEcologyEnvironmental engineeringGeologyMeteorology

Abstract

fetched live from OpenAlex

With global warming and increasing water use, tap water resources need sustainable management. We used hydrogen and oxygen isotope analyses in tap water (i.e., δ 2 H and δ 18 O values) to identify issues associated with tap water resources in Canada. We analyzed 576 summer tap samples collected from across Canada and 76 tap samples from three cities during different seasons and years. We classified the samples based on their sources: groundwater (Tap Groundwater ), river (Tap River ) and lake (Tap Lake ). δ 2 H values in tap water correlate strongly with values predicted for local precipitation across Canada with a stronger correlation for Tap Groundwater and Tap River than for Tap Lake. We then constructed water balance models to predict the δ 2 H of surface water across Canada, and validated them against Canadian stream δ 2 H data. δ 2 H values in tap water correlate strongly with values predicted for local surface water, however, the water balance models improved the predictability only for Tap River and Tap Lake and not for Tap Groundwater . Tap Groundwater δ 2 H values reflect the δ 2 H values of annually averaged precipitation, whereas Tap River and Tap Lake δ 2 H values reflect post-precipitation processes. We used the δ 2 H residuals between the observed and predicted δ 2 H values to assess regional processes influencing tap water δ 2 H values across Canada. Regionally, snow/glacier melt contributes to all tap sources around the Rockies. Tap waters are highly evaporated across Western Canada, irrespective of their sources. In the Great Lakes and East Coast regions, tap waters are evaporated in many localities, particularly those using surface reservoirs and lakes. We propose the use of these isotopic baselines as a way forward for the monitoring of tap water resources at different scales. These isotopic baselines also have valuable applications in human forensic studies in Canada.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.012
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.212
Teacher spread0.192 · 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

Citations10
Published2023
Admission routes3
Has abstractyes

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