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Record W1998655198 · doi:10.12789/geocanj.2013.40.014

Geoscience of Climate and Energy 11. Ambient Air Quality and Linkage to Ecosystems in the Athabasca Oil Sands, Alberta

2013· article· en· W1998655198 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeoscience Canada · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsCumulative Environmental Management Association
Fundersnot available
KeywordsOil sandsEnvironmental scienceAir quality indexParticulatesPollutantEnvironmental chemistryHydrology (agriculture)GeologyAsphaltEcologyMeteorologyChemistryGeographyArchaeology

Abstract

fetched live from OpenAlex

In 2010, there were 91 active oil sands projects in the Athabasca Oil Sands, Alberta where the Wood Buffalo Environmental Association monitors air quality and related environmental impacts. In 2012, ambient air concentrations of sulphur dioxide, nitrogen dioxide, and ammonia did not exceed the Alberta Ambient Air Quality Objectives. There was one exceedance of these objectives for ground-level ozone, and 62 exceedances for fine particulate matter with aerodynamic diameter ≤ 2.5 microns. There were 170 exceedances of the 1-hour hydrogen sulphide / total reduced sulphur odour threshold. The number of hourly exceedances has decreased since 2009, yet odours remain a serious concern in some communities. Based on the Air Quality Health Index (ozone, nitrogen dioxide, fine particulate matter), the risk from ambient air quality to human health from some pollutants was calculated to be low 96% to 98% of the time depending upon monitoring location, moderate 1% to 3.4%, high ≤ 0.4%, and very high ≤ 0.2% of the year. In a highly regulated setting like the Alberta oil sands, it is critical for stakeholders to quantify the spatial influences of emission source types to explain any consequential environmental effects. Source apportionment studies successfully matched source chemical fingerprints with those measured in terrestrial lichens throughout the region. Forensic receptor modeling showed source types contributing to elemental concentrations in the lichens included combustion processes (~23%), tailing sand (~19%), haul roads and limestone (~15%), oil sand and processed materials (~15%), and a general anthropogenic urban source (~15%). Re-suspended fugitive dust from operations, tailings dikes, quarrying, on-road transportation, and land clearing was found to contribute enrichment to a much greater degree than the hitherto assumed combustion source type.SOMMAIREEn 2010, il y avait 91 projets d’extraction en cours dans les sables bitumineux de l’Athabasca en Alberta, soit dans le secteur où la Wood Buffalo Environmental Association mesure la qualité de l'air et les répercussions sur les milieux de vie. En 2012, les concentrations dans l'air ambiant de dioxyde de soufre, le dioxyde d'azote et d'ammoniac n’ont pas dépassé les niveaux fixés par l’Alberta Ambient Air Quality Objectives. Il y a eu 1 dépassement de ces objectifs pour la concentration de l'ozone au niveau du sol, et 62 dépassements pour la concentration des particules fines d'un diamètre aérodynamique ≤ 2,5 micromètres. Il y a eu 170 dépassements pour la concentration du sulfure d’hydrogène pendant 1 heure / du seuil de l’odeur total de soufre réduit. Le nombre des dépassements horaires a diminué depuis 2009, mais les odeurs demeurent un grave problème dans certaines communautés. En fonction de la Cote air santé (ozone, dioxyde d'azote, particules fines), le risque de la qualité de l'air ambiant pour la santé humaine de certains polluants a été qualifiée de faible pour 96 % à 98 % des cas selon lieu de la mesure, de modérée dans 1 % à 3,4 %, plus élevé dans ≤ 0,4% des cas, et de très élevé dans ≤ 0,2% de l’année. Dans un cadre très réglementé comme celui des sables bitumineux de l'Alberta, il est essentiel pour les parties prenantes de quantifier spatialement les répercussions des divers types de sources d'émissions dans le but d’expliquer les conséquences sur les milieux de vie. Les études d’attribution des sources ont très bien recoupé celles des empreintes chimiques des sources mesurées dans les lichens terrestres dans toute la région. La modélisation par récepteurs forensiques a montré que les types de sources qui contribuent aux concentrations élémentaires dans les lichens proviennent des procédés de combustion (~ 23%), des sables résiduels (~ 19%), des routes de transport et du calcaire (~ 15%), des sables bitumineux et des matériaux transformés (~ 15%) et d’une source urbaine anthropique générale (~ 15%). On a établi que les poussières diffuses remises en suspension provenant de l'exploitation, les digues de résidus, les carrières, le transport routier et le défrichement contribuent à l’augmentation de la concentration à un degré beaucoup plus élevé que la combustion, qu’on ne l’avait estimé jusqu’à présent.DOI: http://dx.doi.org/10.12789/geocanj.2013.40.014

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)0.001
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 score0.032
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.005
GPT teacher head0.189
Teacher spread0.184 · 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