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Record W1981854582 · doi:10.4133/jeeg7.2.78

Characterization of a Contaminant Plume Due to a Hydrocarbon Spill Using Geoelectrical Methods

2002· article· en· W1981854582 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Environmental and Engineering Geophysics · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsnot available
FundersAgencia Nacional de Promoción Científica y TecnológicaUniversity of British ColumbiaUniversidad de Buenos AiresConsejo Nacional de Investigaciones Científicas y Técnicas
KeywordsPlumeGeologyEnvironmental remediationResistive touchscreenWater tableHydrocarbonPetroleum engineeringGeotechnical engineeringMineralogyGroundwaterContaminationMeteorologyChemistry

Abstract

fetched live from OpenAlex

The objective of the research contained in this paper was the characterization of a contaminant plume and the description of the surrounding area, in order to give information for future remediation. The origin of the plume was a hydrocarbon spill produced by fissures in a purge chamber belonging to a gas transmission system. Data from control wells indicated that the soil was composed mainly of clays. The most important result was that, close to the chamber, a 1.5m-thick layer of gasoline was detected at 7m depth, floating over the water table. This is a case in which a resistive contaminant like hydrocarbon is located in a conductive medium; in these circumstances geoelectrical prospecting is particularly good for characterizing the zone. The extent of the area under study was 100×140m2, approximately, and the thicknesses involved were more than 20m of, in many cases, very conductive materials. Thus, a field design was required that would cover the zone with deep penetration and at the same time optimize lateral resolution. By combining Wenner and dipole-dipole configurations, the electrical imaging of the contaminated zone and the description of the surrounding soil were achieved.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.433

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)0.0000.000

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 head0.011
GPT teacher head0.202
Teacher spread0.191 · 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