Determination of Physico-Chemical Parameters in the SemanBasin Waters, In the Fieri City
Bibliographic record
Abstract
This article presents the results of the study of water pollution of the Seman River basin, based on physico-chemical parameters.This study was conducted during the period April -June 2019.The selection of sampling stations was done in order to the results of the study provide, a complete information on the level of pollution of these waters and the main causes of this pollution.Water samples were analyzed for temperature, pH, conductivity, total suspended solids (TSS), total alkalinity, total hardness, dissolved oxygen (DO), chemical oxygen demand (COD).All analyzes were performed using standard analytical methods (APHA, DIN, ISO).The results were processed using descriptive statistics method and compared with international water quality standards.The results obtained showed that the values of some parameters were above the allowed or recommended norms.Since the main causes of pollution of these waters are discharges of untreated urban water and those from various economic activities, or discharges of wastewaters, it is recommended: Taking measures to minimize the causes of pollution, such as improving the sewerage network of the area, the provision of a completely special system, serious investments in the treatment of untreated urban waters and those from various economic activities as well as the information of the population on the importance of protecting these waters from pollution and the consequences of these pollutions.
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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 | 0.001 | 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 | 0.001 | 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 teacher head, 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".