Impact of human activities on the physico-chemical quality of surface water and groundwater in the north of Marrakech (Morocco)
Bibliographic record
Abstract
The aim of this study was to assess the impact of three sources of pollution (landfill leachate, wastewater and mining activities) on the physico-chemical characteristics of surface water and groundwater in the northern region of Marrakech (Morocco). Numerous groundwater samples and surface water (Tensift River) samples were collected during the dry season and analysed. The groundwater samples had a high conductivity, which varied between 0.95 and 7.40 mS/cm; the conductivity of the surface water samples varied between 1.31 and 15.84 mS/cm. pH varied between 6.64 and 8.10 for groundwater and between 6.70 and 8.40 for surface water. The results showed that groundwater and surface water had a degraded quality in the region. Principal component analysis (PCA) enabled identification of the impact of pollution sources by combining the upstream and the downstream points. These results also showed that, in the study area, the effect of wastewater and the mine were dominated those of the landfill.
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 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 | 0.000 | 0.000 |
| 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) | 0.000 | 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; 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".