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Record W2415482526 · doi:10.1021/acs.estlett.6b00182

Satellite Remote Sensing of Air Quality in the Energy Golden Triangle in Northwest China

2016· article· en· W2415482526 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.

Bibliographic record

VenueEnvironmental Science & Technology Letters · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsEnvironment and Climate Change Canada
FundersNational Natural Science Foundation of China
KeywordsOzone Monitoring InstrumentTroposphereAir quality indexSatelliteEnvironmental scienceTropospheric ozoneChinaPlanetary boundary layerMeteorologyOzoneAtmospheric sciencesPollutantRemote sensingGeographyGeologyPhysics

Abstract

fetched live from OpenAlex

This article presents the first assessment of air quality in the Energy Golden Triangle (EGT) in northwest China. Using the planetary boundary layer (PBL) column density (PCD) of SO 2 and the tropospheric column density (TCD) of NO 2 retrieved from the Ozone Monitoring Instrument (OMI), we show that the column densities of both SO 2 and NO 2 exhibit an increasing trend from 2005 to 2014 in the Ningdong energy and chemical industrial base (NECIB) within the EGT, in contrast to the rapid and widespread decrease of SO 2 emissions in northern China. This is largely attributed to the rapid development of the energy industry in this region. It is expected that SO 2 and NO 2 emitted from the EGT would increasingly contribute to the total emissions of these two air pollutants in northern China.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.260
Teacher spread0.245 · 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