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Record W3105898456 · doi:10.22215/etd/2020-14208

Quantification of Black Carbon Emissions from Gas Flaring and Standardization of the Sky-LOSA Measurement Technique

2020· dissertation· en· W3105898456 on OpenAlexafffund
Bradley Conrad

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnergy
TopicOil, Gas, and Environmental Issues
Canadian institutionsCarleton University
FundersNatural Resources CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsFlareRadiative transferSkyPhysicsAttenuationAstrophysicsAtmospheric radiative transfer codesAbsorption (acoustics)Line-of-sightEnvironmental scienceRemote sensingGeologyOptics

Abstract

fetched live from OpenAlex

This thesis details the deployment and refinement of an emergent optical diagnostic for soot/black carbon (BC) emissions from gas flaring alongside investigations into optical properties of flare BC. Research efforts were first focussed on the field-deployment of the existing sky-LOSA (line-of-sight attenuation using skylight) technique to measure BC emissions from gas flares. Fourteen measurements from nine flares revealed BC emissions spanning more than four orders of magnitude, highlighting the disproportionate emissions contributions of individual "super-emitting" flares. BC yields measured at four flares varied with flare gas energy content, permitting extension of a laboratory-based emission factor model to consider field data for actual in-field flares.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.572

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 head0.023
GPT teacher head0.238
Teacher spread0.215 · 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 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
Published2020
Admission routes2
Has abstractyes

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