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Record W2076330831 · doi:10.4314/just.v34i1.1

Trace metal levels of the Odaw river sediments at the Agbogbloshie e-waste recycling site

2014· article· en· W2076330831 on OpenAlexaboutno aff
MA Chama, EF Amankwa, Martin Oteng‐Ababio

Bibliographic record

VenueJournal of Science and Technology (Ghana) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsContaminationEnvironmental scienceSedimentTrace metalEnvironmental chemistryHeavy metalsTrace elementWaste managementEnvironmental engineeringMetalGeologyChemistryGeochemistry

Abstract

fetched live from OpenAlex

The lack of appropriate infrastructure and legislation regarding the proper way of handling ewastes has encouraged informal recycling as in the case of the Agbogbloshie e-waste site. The burning and dumping of these wastes at the bank of the Odaw River eventually end up in the river. To ascertain the level of trace metal contamination in the Odaw River, 15 sediment samples collected from five different locations were analyzed for their trace metals. The locations were chosen to represent areas near to heavy e-waste activities and areas with no apparent ewaste activities, and analysis carried out using Atomic Absorption Spectrophotometry. The results indicated that mean concentrations of the trace metals (Cu, Cd, Pb, Fe, Cr and Ni) were highest at locations near burning and dumping sites (L1 and L2 respectively). This was attributed to the result of e-waste activities and the configuration of the river. With the exception of Cu and Cd at L1, the rest of the metals were below the recommended Canadian interim sediment quality guideline (ISQG) while none was above the Probable Effect Level (PEL), an indication that the levels of trace metal contamination were below the concentration at which frequent adverse effects are expected to occur. The results have confirmed that e-waste recycling activities along the banks of the Odaw River contribute to the contamination of the river.Keywords: E-waste, sediment, metal, contamination, recycling

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.012
GPT teacher head0.237
Teacher spread0.224 · 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 designBench or experimental
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

Citations22
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Science and Technology (Ghana)Same topicRecycling and Waste Management TechniquesFrench-language works237,207