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Record W2384525554

Level of Major Air Pollutants and the Variation Law in the City of Suining

2011· article· en· W2384525554 on OpenAlexaboutno aff
Han Chang-qing

Bibliographic record

VenueJournal of Neijiang Normal University · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsPollutantPollutionAir pollutionEnvironmental scienceAir quality indexQuarter (Canadian coin)Air Pollution IndexNitrogen dioxideMeteorologyGeographyArchaeologyChemistry
DOInot available

Abstract

fetched live from OpenAlex

Based on the environmental data monitored during the period from January 1,2006 to December 31,2010,analysis and evaluation was made of the variation law of the air pollutants in the Suining City by aid of API index method.The results showed that the daily average concentration of PM10 in each functional area is 0.077-0.123 mg/m3;sulphur dioxide is 0.030-0.043 mg/m3;nitrogen dioxide is 0.022-0.025 mg/m3 and API is below 100.As for the with-time variation,the overall performance of PM10 pollution in each functional area is as follows: the pollution of the first quarter is relatively serious;the second quarter is the second worst,the fourth quarter is the third worst and the third quarter is the least serious in terms of air pollution.In regard of spatial change,pollution in the southern industrial area(where the Qunkang Printing and Dyeing Mill is located) is relatively heavier;next to it comes the western section of the city(where the Monitoring Station is located) and the Hedong New Area(where the City Administration Center is situated) enjoys the best.enviromental quality.It is suggested that the chief air pollutants in the Suining city are from inhalable particles.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.702

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 head0.113
GPT teacher head0.259
Teacher spread0.145 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2011
Admission routes1
Has abstractyes

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