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Record W1983055757 · doi:10.4137/aswr.s10835

Gaseous Pollutants in Basra City, Iraq

2013· article· en· W1983055757 on OpenAlexaff
Ali A.Z. DouAbul, Sama Sameer Al Maarofi, Hamid T. Al‐Saad, Shukri I. Al-Hassen

Bibliographic record

VenueAir Soil and Water Research · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAir pollutantsPollutantEnvironmental scienceEnvironmental chemistryRefineryEnvironmental engineeringChemistryToxicologyAir pollution

Abstract

fetched live from OpenAlex

This study aimed to detect the present levels and distribution of CO, CO 2 , SO 2 , NO 2 , and total hydrocarbons gases (HCs) produced from different industrial plants in Basra city, Iraq. Measurements were carried out in the winter and summer of 2011. CO, SO 2 , NO 2 , and HC concentrations were measured using a Drager CMS portable detector, while CO 2 concentrations were measured using a RI-411A portable detector. The average minimum concentrations of CO, CO 2 , SO 2 , NO 2 , and HCs were 2.0 mg/L, 250.0 mg/L, 4.0 mg/L, 0.4 mg/L, 0.5 mg/L, and 0.3 mg/L, respectively. Their average maximum concentrations were 18.0 mg/L, 280 mg/L, 0.9 mg/L, 1.3 mg/L, and 1.3 mg/L, respectively. The results indicate that stations close to the electrical power plant and oil refinery have higher levels of pollutants when compared to the urban station. According to the standards guidelines reported by the World Health Organization's Environmental Protection Act, the detected concentrations of CO for short-term exposure and the average concentrations of NO 2 and SO 2 for short-term and long-term exposure pose serious health hazards, especially in the industrial areas.

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 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 score0.310
Threshold uncertainty score0.996

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)0.0050.005

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 head0.106
GPT teacher head0.368
Teacher spread0.262 · 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; both teacher heads agree on what is shown here.

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

Citations12
Published2013
Admission routes1
Has abstractyes

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