Évaluation du niveau de pollution par les métaux lourds des lacs Bini et Dang, Région de l'Adamaoua, Cameroun
Bibliographic record
Abstract
La presente etude s’est donnee a pour objectif principal d’evaluer le niveau de pollution metallique des lacs Bini et Dang (Ngaoundere, Cameroun) a travers l’analyse des eaux et des sediments de surface. La concentration des metaux lourds (Ni, Cr, Fe, Pb, Cd, Zn) a ete mesuree par spectrophotometrie d’absorption atomique. Des resultats obtenus, il ressort que les elements Ni, Fe, Cr, Pb et Cd ont des teneurs elevees dans les eaux des deux lacs compares aux normes OMS sur les eaux de boisson et aux normes canadiennes sur la protection de la vie aquatique. Afin d’evaluer le niveau de contamination des sediments des deux lacs, le facteur d’enrichissement (FE) et l’indice de geoaccumulation (I-geo) ont ete calcules. Ainsi, le cadmium presente des FE forts a tres forts alors que le plomb affiche des FE moderes a forts. L’I-geo varie d’une forte contamination a une contamination extreme pour le cadmium. Cet index est modere a fort pour le plomb et modere pour le fer. Les sediments du lac de Dang sont dans l’ensemble les plus contamines en metaux lourds par rapport a ceux du lac Bini. Les activites agricoles, les rejets des eaux usees domestiques et les decharges incontrolees sont consideres comme principales sources de pollution des deux lacs.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.020 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".