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Record W2944956294 · doi:10.1016/j.aeaoa.2019.100033

Emission influences on air pollutant concentrations in New York State: I. ozone

2019· article· en· W2944956294 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueAtmospheric Environment X · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
FundersNew York State Energy Research and Development Authority
KeywordsOzoneEnvironmental sciencePollutantNitrogen dioxideNOxAtmospheric sciencesAir pollutant concentrationsNitrogen oxidesAir pollutionAir pollutantsEnvironmental chemistryMeteorologyChemistryGeographyCombustion

Abstract

fetched live from OpenAlex

Relationships between regional air pollutant emissions and ambient concentration trends in New York State are studied. Large (∼50–85%) reductions in anthropogenic emissions occurred in the northeastern U.S. and eastern Canada between 1995 and 2015. Spatially and temporally aggregated ambient concentrations of O3 precursors declined steadily along with emission reductions: multi-site mean annual nitrogen dioxide (NO2), carbon monoxide (CO), and toluene concentrations tracked state and regional emissions of oxides of nitrogen (NOx, NO + NO2), CO, and volatile organic compounds (VOC), respectively (r2 = 0.97, 0.88, and 0.73), showing linear responses of average O3 precursor concentrations to both state and regional emission reductions. O3 exhibited complex spatial and temporal variations, indicating that O3 was influenced not only by the steady decline of regional emissions but also by subregional emission changes, chemical and physical processes, and day-specific variations in emissions and weather. The statewide multi-site mean annual 4th-highest daily 8-h O3 peak declined at the rate of 0.86 ± 0.14 ppbv y−1 (1.1% y−1). Influences on peak daily 8-h O3 were studied using a long-term data record from a research site at Pinnacle State Park (PSP), located near Addison, New York. A generalized additive model (GAM) was applied to separate the influences of local and regional emission changes, weather, and other factors. GAM results indicate that the reduction of summer O3 peak values and the overall trends in O3 at PSP were due to changes in ambient pollutant levels, rather than to trends in temperature or other meteorological factors. Whereas PSP summer O3 was NOx-sensitive, O3 was often VOC-sensitive during winter and spring days. The frequency of VOC-sensitive days decreased between 2001 – 2005 and 2012–2016, consistent with an expectation of increasing NOx sensitivity as ambient NOx concentrations decline.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.999

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)0.0140.002

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 head0.008
GPT teacher head0.185
Teacher spread0.177 · 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