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Record W2968219945 · doi:10.1139/er-2019-0035

Overview of size distribution, concentration, and dry deposition of airborne particulate elements measured worldwide

2019· article· en· W2968219945 on OpenAlexaffvenue
Abdulla Al Mamun, Irene Cheng, Leiming Zhang, Ewa Dąbek-Złotorzyńska, Jean‐Pierre Charland

Bibliographic record

VenueEnvironmental Reviews · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsEnvironmental chemistryMetalloidParticulatesEnvironmental scienceDeposition (geology)MetalAerosolChemistryGeologySediment

Abstract

fetched live from OpenAlex

This article reviews the current knowledge of the size distributions, concentrations, and dry deposition fluxes of airborne particulate elements, with a particular focus on 13 priority toxic metals or metalloids (Sb, As, Be, Cd, Cr, Cu, Pb, Hg, Ni, Se, Ag, Tl, and Zn). Reviewed studies comprise diverse emission sources and environments including urban, industrial, suburban, rural, traffic, and coastal sites. The primary modes of the size distributions of some elements are generally consistent among these environments, whereas size distributions of other elements significantly vary with individual samplings and meteorological conditions. Most of the toxic elements (Sb, As, Cd, Pb, Ni, Se, Ag, Tl, and Zn) originate primarily from anthropogenic sources and demonstrate their major peak(s) in the fine mode (<2.5 μm). Fine fraction (PM 2.5 /PM 10 ) of these elements in urban–industrial sites vary from 0.68 (Ni) to 0.82 (Cd). Size distributions of the other toxic elements (Be, Cr, Cu, and Hg) vary with season and the proximity of the sampling sites to potential sources. Among the 13 toxic elements, Zn, Pb, and Cu are the most abundant, whereas Be, Hg, and Tl are the least abundant. The median concentrations of Zn, Pb, and Cu in PM 10 are 24.3, 3.77, and 15.5 ng/m 3 in North America; 72.3, 23.8, and 19.3 ng/m 3 in Europe; and 425, 192, and 26.2 ng/m 3 in Asia, respectively. Ambient concentrations of most toxic metals or metalloids in PM 2.5 and PM 10 are higher in Asia than Europe and North America. Concentrations of the anthropogenic elements, such as As, Pb, and Zn, tend to be higher in the winter due to increased fossil fuel combustion. Dry deposition flux of any element is higher in urban and industrial areas than in other areas. Generally, the crustal elements deposit at higher rates than those of the anthropogenic elements due to the larger particle sizes of crustal elements. The overall mean dry deposition velocities obtained from measured flux and total concentration of fine, coarse, and variable mode elements are 1.7, 2.0, and 1.6 cm/s, respectively, which are higher than the model estimated size-fractioned values.

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)0.001
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 score0.078
Threshold uncertainty score0.999

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)0.0020.000

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 head0.037
GPT teacher head0.297
Teacher spread0.259 · 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.

Study designObservational
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

Citations46
Published2019
Admission routes2
Has abstractyes

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