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Record W2515894748 · doi:10.2495/sdp-v11-n4-522-536

Human health risk assessment of airborne trace elements for human receptors in the vicinity of the diamond cement factory, Volta Region, Ghana

2016· article· en· W2515894748 on OpenAlexvenueno aff
M. A. Addo, E. O. Darko, Christopher Gordon, Peter Davor, Felix Ameyaw, Hannah A. Affum, J.K. Gbadago, S. Dzide

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsnot available
FundersUniversity of Ghana
KeywordsHuman healthFactory (object-oriented programming)DiamondCementEnvironmental scienceTRACE (psycholinguistics)Mining engineeringEnvironmental healthWaste managementMetallurgyEngineeringMaterials scienceMedicine

Abstract

fetched live from OpenAlex

In this study, total suspended particulate matter (aerodynamic diameter range between 0.05 and 5 µm) levels in the vicinity of the Diamond Cement (DIACEM) Factory, Aflao, Ghana were measured and analyzed for As, Cr, Ni and Zn using multi-elemental technique of instrumental neutron-activation analysis.The primary objective of the study was to assess the human health risk of the trace metals exposure for children and adult population in four stratified zones in the study area.From the results, the mean dust level (538.92µg/m 3 ) around the cement facility deviated completely from regulatory specification (150 µg/m 3 ) indicating massive air pollution in the area.The mean concentration (mg/kg) of trace metals in the area were found in the order of Ni (44.38) >Zn (25.65) > Cr (15.26) >As (2.87).The human-risk assessment study indicated that non-carcinogenic risk was insignificant but the risk of cancer could be probable.Ingestion exposure was the highest level of risk found for both adults and children population in the area.The study encourages more work as it cautioned that the current results cannot symbolize a general portrait of the cement industry in Ghana, explaining that similar facilities may differ in their pollution cleaning strategies and environmental conditions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.026
GPT teacher head0.316
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Sustainable Development and PlanningSame topicRecycling and Waste Management TechniquesFrench-language works237,207