Studies on Pollution Hazards of Shallow Hand-Dug Wells in Erena and Environs, North-Central Nigeria
Bibliographic record
Abstract
This present study evaluates the pollution status of shallow hand-dug wells in Erena community, Shiroro Local Government Area of Niger State, North-central Nigeria using pollution index. The application of pollution index on the hydrochemical data revealed that the groundwater from the shallow aquifers in Erena area had serious bacteriological pollution and moderately/slightly pollution coming from pH, iron and bicarbonate, while the pollution status of the remaining parameters are within the acceptable limit for a potable water. The observed microbial pollution arising from the presence of total coliform and E. coli in the well water are due to migration of plume from un-lined pit-latrines/soakaway while the enrichment of the well water with low pH, high iron and bicarbonate can be attributed to natural sources arising from bedrock dissolution. Results of well water samples collected far away from the pit-latrines/soakaway show no microbial contaminant. The dominant hydrochemical facies as revealed by Piper diagram are Ca-Mg/CO3-HCO3. Boiling of the water before drinking is recommended as most bacteria do not withstand very high temperature. Future hand-dug wells and boreholes in the area should be sited far away from the existing pit-latrines/soakaway and groundwater should be tapped from deeper aquifers. The use of sanitary VIP-latrines and well-lined soakaway system were proposed. Niger State Ministries of Environment and Water Resources should organize workshops and seminars in the area as means of creating the needed awareness on the benefits of good hygiene and clean environment to man.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".