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Record W7044100812

Wastewater sources of priority contaminants in four Canadian Arctic communities

2019· dissertation· en· W7044100812 on OpenAlexfundaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsArcticWastewaterContaminationMicroplasticsAquatic ecosystemEcosystemSewage treatmentSampling (signal processing)
DOInot available

Abstract

fetched live from OpenAlex

The main goal of this thesis was the investigate the wastewater sources of pharmaceuticals, microplastics, and per- and poly-fluorinated alkyl substances (PFASs) in Canadian Arctic communities. Current literature on the local sources of these contaminants in this region are lacking. Thus, a novel study into these sources and occurrences was undertook to better understand the impact they may have on the aquatic ecosystem in Arctic communities. Wastewater treatment plants (WWTPs) have been shown to be sources of all three contaminants studied here in more southern latitudes and in some Arctic cities as well. Given the relatively small populations of Canadian Arctic communities, wastewater systems are typically less sophisticated than those in more urbanized areas. This combined with the harsh Arctic climate can lead to different contaminant profiles and ecological stresses given the reduction of compound degradation prior to wastewater release. The organic diffusive gradients in thin-films (o-DGT) passive sampler was used for pharmaceutical sampling in four communities, a novel usage of this sampler in both a marine and Arctic setting. PFASs were sampled through simple grab sampling while microplastics utilized manta trawls which skim the surface of waters to retrieve floating plastics. Pharmaceutical concentrations (10 – 5000 ng/L) were measured at levels comparable to other studies conducted in the Norwegian and Greenland Arctic. WWTPs varied in both efficiency and detection of compounds leading to varying concentration profiles in communities. No current ecological risk is expected based on concentration in the receiving environment. PFASs were found to be three orders of magnitude higher during wastewater release compared to open ocean concentrations but dilution played a large role in reducing these concentrations over time. Microplastics were unable to be accurately assessed given large field blank contamination. This thesis demonstrates that for both pharmaceuticals and PFASs, WWTPs can be a significant local source of contamination into aquatic Arctic systems, alongside long-range transport. The results presented here will contribute to both the scientific and regulatory community relating to Arctic contamination.

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 score0.098
Threshold uncertainty score0.781

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.215
Teacher spread0.197 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

Explore more

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