Managing High Runoff Discharge in the Urbanized Basins of Asa River Catchment Area of Ilorin, Nigeria
Bibliographic record
Abstract
Incidence of flood has been on the increase in Ilorin for sometime; and this exemplifies the problem operating in most urban centres in Nigeria. Increase in runoff production in an urbanized catchment is a function, among other factors of to increase in percentage paved area brought about by deforestation activities and poor environmental attitude of the people. This study examines the relationship between runoff discharge and basin characteristics in Ilorin. Data used were collected directly from the field over a period of one calendar year. Rainfall data were collected in each basin using a standard rainguage of 20cm orifice while basin discharge was collected twice daily (8.00am and 6.30pm) using fabricated staff gauge graduated in centimeter. Basin morphometric attributes were computed from topographic map while landuse map was prepared from satellite imagery. Soil samples were collected and analysed for particle size distribution. The result obtained indicates that basin size and landuse have profound influence on the explanation of discharge in the basins. The study thus, recommends a number of options to efficient basin management in the city. Keywords: Managing; High runoff discharge; Urbanized basin; Asa river catchment; Ilorin; Nigeria
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".