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Record W2054995211 · doi:10.2118/2000-093

Assessment of Fraction-Specific Toxicity and Derivation of Recommended Soil Quality Guidelines for Crude Oil in Agricultural/Grassland Soils

2000· article· en· W2054995211 on OpenAlexaffabout
S. A. Leggett, G. L. Stephenson, S. Visser, K. Lee, A. T. Bolton

Bibliographic record

VenueCanadian International Petroleum Conference · 2000
Typearticle
Languageen
FieldChemistry
TopicRadioactive element chemistry and processing
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGrasslandSoil waterFraction (chemistry)AgricultureEnvironmental scienceCrude oilAgronomySoil sciencePetroleum engineeringGeologyChemistryEcologyBiology

Abstract

fetched live from OpenAlex

Abstract This research project was initiated in 1998 and was commissioned by PTAC (Petroleum Technology Alliance Canada). The purpose of the project is to collect, through a combination of laboratory and field studies, scientifically defensible data that can be used to derive risk-based soil quality guidelines for petroleum hydrocarbons (PHCs) in agricultural soils. The project has two phases. The purpose of Phase I is to collect ecotoxicological data for specific hydrocarbon fractions. This data will be used to develop risk-based criteria. The purpose of Phase II is to evaluate short- and long-term risks posed by hydrocarbon residuals at concentrations exceeding 1,000 mg/kg. The project is targeted for completion in 2001 but preliminary data are available and will be presented. Phase I of the project, developing risk-based criteria, is proceeding following a staged approach. In the initial stage, the toxicity of the crude oil mixture and two hydrocarbon fractions to a battery of terrestrial plant and animal species in topsoil is being assessed. To date, toxicity assessments for unrefined Federated crude oil and two hydrocarbon fractions (C10 to C16 and C17 to C34) have been completed. Following assessment of these results, the toxicity will be further researched by testing an additional hydrocarbon fraction and investigating the toxic interactions of the fractions deemed responsible for significant portions of the ecotoxicology. Derivation of fraction-specific recommended soil quality guidelines will follow the toxicity testing. These guidelines will be compared with existing and proposed regulatory criteria. The results of both the laboratory and field studies will be integrated and the derived PHC guidelines will minimize the risk of impairment of soil physical, chemical and/or biological properties such that plant/cop productivity of agricultural soils will be protected. Phase II of the project, evaluating risks posed by hydrocarbon residuals exceeding 1,000 mg/kg, is being accomplished using field test plots. Two sets of field plots were established in 1999. Site One is in an area of sandy loam soils being used for the production of cereal crops. Site Two is established in clay loam soils which supported pastures utilized for cattle grazing. Both sites provide appropriate uncontaminated soils for establishing impacted and control plots, in triplicate, and landowner and industry cooperation were obtained. At both sites unrefined Federated crude oil was applied in 1999 at a calculated post-incorporation concentration of 12,000 mg/kg. At Site Two, a second acute plot was established by applying crude oil at a rate of 24,000 mg/kg. At both sites, "chronic" plots were also established on areas that contained historically weathered hydrocarbon material. The combination of "chronic" and "acute" hydrocarbon contamination allows us to compare the ecotoxicological responses of fresh versus weathered PHCs in agricultural soils. Introduction The research project was initiated in August 1998 and was commissioned by Petroleum Technology Alliance Canada (PTAC). The purpose of the project is to collect, through a combination of laboratory and field studies, scientifically defensible data that can be used to derive risk-based soil quality guidelines for petroleum hydrocarbons (PHCs) in agricultural soils. The research has been divided into two phases.

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 score0.260
Threshold uncertainty score1.000

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)0.0020.000

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 head0.064
GPT teacher head0.341
Teacher spread0.277 · 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

Citations0
Published2000
Admission routes2
Has abstractyes

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