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Record W2095222390 · doi:10.1007/s11869-008-0002-2

Seasonal variation of particle size distributions of PAHs at Seoul, Korea

2008· article· en· W2095222390 on OpenAlex
Ji Yi Lee, Hye Jung Shin, Soo Ya Bae, Yong Pyo Kim, Chang-Hee Kang

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

VenueAir Quality Atmosphere & Health · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsEnvironment and Climate Change Canada
FundersNational Oceanic and Atmospheric AdministrationKorea Science and Engineering Foundation
KeywordsSeasonalityEnvironmental scienceAtmospheric sciencesRange (aeronautics)Particle sizeAtmosphere (unit)ParticulatesDeposition (geology)AerosolEnvironmental chemistryParticle-size distributionChemistryMeteorologyMaterials scienceGeologyGeography

Abstract

fetched live from OpenAlex

The atmospheric size distributions of particulate polycyclic aromatic hydrocarbons (PAHs) up to 10 μm in diameter were measured at Seoul in the summer and winter of 2003. The concentrations of total PAHs were from 4.32 to 5.48 ng m−3 in summer and from 25.6 to 35.9 ng m−3 in winter, respectively. Majority of the PAHs concentrations were found on fine particles (D p < 2.1 μm). The size distributions of individual PAH compounds were bimodal with the peaks in the 0.43–0.65- and 4.7–5.8-μm range in summer. In winter, those were unimodal or weakly bimodal with the peaks in the 0.65–1.1- and 4.7–5.8-μm range. The seasonal variation of the peak size range in the fine mode might be caused by longer residence time in the air in winter. Based on the previously reported source diagnostic ratios of PAHs for the major emission sources, it was suggested that vehicles were the major source of PAH in summer, while coal-related emissions and firewood fire were the major sources in winter for fine particles. The seasonal variation of the peak size ranges in the fine particles had not shown noticeable effect on the dry deposition fluxes. However, it might affect the optical properties of the atmosphere.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.997

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)0.0030.000

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 head0.032
GPT teacher head0.274
Teacher spread0.243 · 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