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Active and passive sampling techniques in headwater streams to characterize acesulfame-K, pharmaceutical and phosphorus contamination from on-site wastewater disposal systems in Canadian rural hamlets

2024· article· en· W4403681766 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Science of The Total Environment · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Resources Studies
Canadian institutionsMinistry of the Environment, Conservation and ParksUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSTREAMSContaminationEnvironmental scienceSampling (signal processing)PhosphorusWastewaterHydrology (agriculture)Environmental engineeringGeologyEcologyChemistryEngineeringBiology

Abstract

fetched live from OpenAlex

On-site wastewater disposal systems have been identified as a source of contamination for nutrients and emerging contaminants (ECs), such as artificial sweeteners and pharmaceutical compounds. The passive sampling technique Polar Organic Chemical Integrative Sampler (POCIS) and phosphorus sampler (P-Trap) have been widely used for tracking polar organic contaminants and total dissolved phosphorus in environmental waters such as surface water and wastewater. However, limited studies have been conducted on application of passive sampling techniques to track contamination in headwater streams impacted by on-site wastewater disposal systems. In this study, active sampling (discrete samples) and passive sampling (P-Trap and POCIS) techniques were applied in upstream and downstream locations at three rural hamlets to compare and track the contamination of total dissolved phosphorus (TDP) and seven ECs, including six pharmaceuticals and one artificial sweetener acesulfame-K (ACE-K), in the shallow headwater streams of rural hamlets in southern Ontario, Canada that exclusively rely on septic systems for wastewater disposal. Results show that POCIS and P-Trap yielded comparable time-weighted average (TWA) concentrations of target ECs and TDP, respectively, to mean concentrations of discrete samples during the seasonal (spring, summer, and fall) and two-week intensive study periods. Field-derived sampling rates ( R s - field ) of target contaminants compared well to literature-reported values indicating POCIS and P-Trap were applicable in determining the concentrations of target contaminants in the investigated streams, even though some environmental factors, such as dry stream conditions and fouling, occurred during the sampling period. The low but stable R s - field of ACE-K (∼0.001 L d −1 ) from this study indicates consistency in application of POCIS for capturing ACE-K. The results of this study provide insight into the confidence and limitations for using POCIS and P-traps to track ECs and TDP in shallow headwater streams impacted by septic systems. • Discrete and passive sampling showed target pollutants downstream of septic systems. • Good agreement between discrete and passive sampling results for target pollutants • Field-derived R s values determined for ACE-K and six pharmaceuticals • Environmental factors, such as biofouling can affect uptake on passive samplers. • POCIS with HLB sorbents is applicable to sample ACE-K with low but stable R s .

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.903

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.022
GPT teacher head0.245
Teacher spread0.223 · 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