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Record W4322005224 · doi:10.5194/egusphere-egu23-7942

PFAS transport through quasi-saturated porous media: Laboratory experiments and mixture effects

2023· preprint· en· W4322005224 on OpenAlexaff
Kevin G. Mumford, Justine E.F. Abraham, David Patch, Tohren C. G. Kibbey, Kela P. Weber

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsRoyal Military College of CanadaQueen's University
Fundersnot available
KeywordsVadose zoneSorptionPorous mediumImbibitionTRACEREnvironmental chemistryChemistryAdsorptionEnvironmental remediationSaturation (graph theory)PorosityEnvironmental scienceChemical engineeringContaminationSoil waterSoil scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Understanding how per- and poly-fluoroalkyl substances (PFAS) are transported is critical to site characterization, monitoring, risk assessment, and remediation planning. This includes an understanding of PFAS retention and release at air-water interfaces. These interfaces exist throughout the vadose zone, but can also exist as trapped air bubbles created by water table fluctuations, recharge, and biogenic gas production. In addition to being directly applicable to transport through trapped gas zones at PFAS-impacted sites, laboratory experiments using emplaced trapped gas (quasi-saturated conditions) provide a controlled method to investigate PFAS behavior, including the effects of different PFAS, concentrations, and mixtures. In this study, a series of laboratory experiments was conducted using one-dimensional sand-packed columns (20 cm × 7 cm dia.). Trapped air was emplaced by sequential drainage and imbibition to create quasi-saturated conditions. Each experiment included separate injections of non-reactive tracer (NaCl) and PFAS solutions through both water-saturated and quasi-saturated columns. A clean, low organic carbon sand was used to eliminate solid-phase sorption (verified through comparison of non-reactive tracer and PFAS breakthrough in the water-saturated columns) and to isolate the effect of air-water interfaces. Experiments were conducted using single-component solutions of PFOA, PFOS and 6:2 FTS, as well as mixtures of those PFAS, at concentrations of 0.1-1 mg/L. Experiments were also conducted using diluted aqueous film-forming foam (AFFF) solutions. Measured retardation factors in triplicate experiments were used to estimate air-water partitioning coefficients.The results showed that PFAS breakthrough was significantly delayed in the presence of trapped air bubbles. Breakthrough delay was greater for PFOS than for PFOA or 6:2 FTS, and was greater for lower PFAS concentrations, for the range of concentrations used in these experiments. For PFAS mixtures, differences in retention were sufficient to completely separate breakthrough (i.e., PFOA and 6:2 FTS achieved complete breakthrough prior to any PFOS arrival) even over short (20 cm) distances. However, the behavior of each PFAS tested was altered by the presence of other PFAS, with PFOA and 6:2 FTS experiencing earlier breakthrough at higher concentrations (concentration overshoot) in the presence of PFOS. Mixture effects were also observed for branched and linear PFOS isomers, and for AFFF solutions, which was further complicated by the presence of hydrocarbon surfactants. The experimental results will be presented along with numerical simulations of PFAS transport subject to air-water partitioning, both to interpret the behavior of PFAS mixtures in experimental systems and to explore the implications of mixture transport in more complex field scenarios.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.027
GPT teacher head0.298
Teacher spread0.271 · 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 designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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