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Groundwater Geochemical Characterization of a Fuel-Contaminated Fractured Bedrock in a Permafrost Environment

2012· article· en· W2058381091 on OpenAlexafffundabout
Olumide Iwakun, Ania C. Ulrich, Kevin W. Biggar, David C. Sego

Bibliographic record

VenueJournal of Environmental Engineering · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsBGC Engineering (Canada)University of Alberta
FundersIndigenous and Northern Affairs CanadaUniversity of Alberta
KeywordsGroundwaterBTEXBedrockEnvironmental remediationEnvironmental chemistryEnvironmental scienceContaminationWeatheringGeologyHydrology (agriculture)EthylbenzeneGeochemistryChemistry

Abstract

fetched live from OpenAlex

Remediation of a contaminated site to site-specific cleanup standard requires a good understanding of the geochemical characteristics of the site. In this study, the groundwater hydrochemical characteristics of a fuel-contaminated mine site in the Northwest Territories (Canada) was evaluated to understand the active geochemical processes and assess the groundwater quality in comparison to guidelines for the protection of freshwater aquatic life. Groundwater samples were taken from installed monitoring wells across the site and analyzed by field and laboratory methods for dissolved metals; ions; and benzene, toulene, ethylbenzene, and xylenes (BTEX) organic constituents. The results showed that the groundwater is Ca-SO4 type because of ubiquitous occurrence of gypsum dissolution and carbonate weathering. The last sampling at the site showed that the BTEX constituents of interest were above the guideline limits in some locations, but other geochemical indicators showed biodegradation is occurring at the site. The inorganic parameters of interest were generally less than the limits studied with few outliers except iron, aluminum, and nickel. Iron and aluminum have background concentrations above the studied limits. This study underscores the importance of mineralogical composition of the native bedrock on groundwater geochemical processes.

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 score0.217
Threshold uncertainty score0.936

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)0.0010.000

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 head0.006
GPT teacher head0.149
Teacher spread0.144 · 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
Published2012
Admission routes3
Has abstractyes

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