Direction of Flow of Suspended Particulate Matter in Kwa Ibo River and Boreholes Located Within the Premises of Micheal Okpara University of Agriculture-Umudike
Bibliographic record
Abstract
This study was carried out to assess the direction of flow of suspended particulate matter in boreholes located within the premises of Micheal Okpara University of Agriculture Umudike (MOUAU) Abia State, Nigeria. Fourteen (14) Vertical Electrical Sounding (VES) were taken in four traverses within the premises and immediate environment of MOUAU. The pattern of groundwater flow within the study locations was deciphered through the use of elevation or hydraulic heads which were determined using Global Positioning System GPS. Water samples were taken from boreholes within the premises of MOUAU and along the banks of Kwa Ibo River bordering the University. The water samples were analysed for physical and chemical properties. Suspended particulate matter and the turbidity were identified and compared to WHO standard. In most well locations, the suspended particulate matters were not sufficient enough to contaminate the ground water except at the CNAS and Zennith bank locations, which have suspended particulate load of 1200g/L and 700mg/L respectively. These high values suggest contamination. Generally, the flow progrades from north to south of the study area. The pattern and distribution of each parameters was contoured using Surfer 8 softwares. The flow pattern and distribution actually shows that the direction of flow of suspended particulate matter at CNAS and Zenith bank is symptomatic of contamination within these indicated positions.
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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 | 0.001 | 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".