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Record W2169536926 · doi:10.5935/0103-5053.20130032

Distributions of Trace Metals in Sediment Cores from a Hypertrophic Reservoir in Northeast Brazil

2013· article· en· W2169536926 on OpenAlexaboutno aff
Izaias S. Santos, Carlos Alexandre Borges Garcia, Elisângela de Andrade Passos, José do Patrocínio Hora Alves

Bibliographic record

VenueJournal of the Brazilian Chemical Society · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
FundersUniversidade Federal de SergipeConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsTRACE (psycholinguistics)Sediment coreSedimentEnvironmental scienceGeologyGeochemistryEnvironmental chemistryChemistryGeomorphology

Abstract

fetched live from OpenAlex

The distributions of Al, Cu, Co, Cr, Fe, Mn, Ni, Pb and Zn were measured in two sediment cores obtained from the Macela Reservoir in Northeast Brazil. Principal component analysis (PCA) clearly separated both the cores and the sections corresponding to different depths. The concentrations of Cu, Cr, Mn and Zn were highest in the upper sections (0-20 cm), and were significantly correlated with the total organic carbon (Corg) content. The concentrations of Co, Pb and Ni were highest in the lower sections (25-45 cm), and showed strong correlations with aluminum. Cu, Cr, Mn and Zn were derived from anthropogenic sources, while Co, Ni and Pb were of natural origin. Toxicity assessment based on the threshold effect level (TEL) and probable effect level (PEL) values listed in the Canadian Sediment Quality Guidelines (SQG) showed that Cu, Pb and Zn rarely cause any adverse effects, while Ni was likely to cause frequent effects in the biota of the reservoir. The toxicity of Cr was uncertain. _________________________________________________________________________________________ RESUMO: As distribuições de Al, Cu, Co, Cr, Fe, Mn, Ni, Pb e Zn foram investigadas em dois sítios de sedimentos do reservatório Macela, Nordeste do Brasil. A análise de componentes principais (PCA) separou nitidamente os sítios de sedimentos coletados e as suas diferentes seções. Cu, Cr, Mn e Zn apresentaram as maiores concentrações nas seções do topo (0-20 cm) e mostraram correlações significativas com o conteúdo de carbono orgânico total (Corg). As concentrações de Co, Pb e Ni foram maiores nas seções do fundo (25-45 cm) e mostraram fortes correlações com alumínio. Cu, Cr, Mn e Zn foram provenientes do aporte antropogênico, enquanto que Co, Ni e Pb foram de origem natural. As toxicidades avaliadas com base nos valores do nível limiar de efeitos (TEL) e nível provável de efeitos (PEL) listados no Sediment Quality Guidelines (SQG) canadense mostraram que Cu, Pb e Zn raramente exercem efeitos adversos aos organismos, enquanto que para o Ni, esses efeitos biológicos ocorrem frequentemente à biota do reservatório. A toxicidade do Cr foi incerta.

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)0.001
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 score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.010
GPT teacher head0.234
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 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

Citations8
Published2013
Admission routes1
Has abstractyes

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Same venueJournal of the Brazilian Chemical SocietySame topicHeavy metals in environmentFrench-language works237,207