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Record W2000752183 · doi:10.1016/j.egypro.2014.11.353

Enhanced Transport of Heavy Metals Due to a CO2-acidified Brine

2014· article· en· W2000752183 on OpenAlexaff
Valentina Prigiobbe, Marc A. Hesse, Steven L. Bryant

Bibliographic record

VenueEnergy Procedia · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of Calgary
FundersU.S. Department of Energy
KeywordsDesorptionBrineAquiferDissolutionChemistryCarbon dioxideGroundwaterCarbonateEnvironmental chemistrySorptionPorous mediumBariumInorganic chemistryGeologyPorosityAdsorption

Abstract

fetched live from OpenAlex

The leakage of carbon dioxide (CO 2 ) from deep geological storage into shallow aquifers has the potential to reduce the pH of the groundwater, which can facilitate dissolution and/or desorption of major cations and naturally occurring hazardous trace elements. Earlier studies show that desorption is the controlling mechanism for long term mobilization of solutes. In this paper, we study the mechanism of pH-dependent desorption of a cation (barium, Ba 2+ ) and its transport behavior through a porous medium with a reactive surface dominated by iron oxide. We performed column flood experiments and numerical simulations applying conditions that resemble CO 2 -acidified brine leaking in a carbonate free potable shallow aquifer. The results show the formation of a retarded concentration front of desorbing Ba 2+ , with peak having a maximum concentration much larger than the initial value. The amplitude of the peak is sensitive to the pH of the acidified brine and the overall desorbed Ba 2+ is controlled by the initial aquifer pH. This peak can locally exceed the Maximum Contaminant Level (MCL) regulated by the U.S. EPA presenting a health hazard.

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 categoriesInsufficient payload (model declined to judge)
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 score0.186
Threshold uncertainty score0.998

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.226
Teacher spread0.218 · 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.

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

Citations3
Published2014
Admission routes1
Has abstractyes

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