Caracterização geotécnica e geoambiental da bacia do Córrego São Pedro- Uberlândia/MG: contribuição para elaboração do plano de drenagem urbana
Bibliographic record
Abstract
This article presents the results of a research aimed at geotechnically and geoenvironmentally characterizing the São Pedro stream basin, located in Uberlândia/MG - Brazil, from the physical environment’s attributes and properties, with a view to using land as a means of rainfall infiltration. The used methodology focuses on analytical mapping and generating cartographic documents that are individually elaborated and analyzed. Besides that, the characterization of unconsolidated materials (in situ and in laboratory) and coefficient of permeability (k) tests (in situ with a Guelph permeameter) were performed. With this data at hands, a quali-quantitative analysis of the physical environment’s features was made through the study of its attributes and their representation in maps. Variables related to infiltration and runoff processes were privileged. For the area of the São Pedro stream basin, values of k varying between 10-4 and 10-5 cm/s were found. The adequacy-to-infiltration map showed the areas next to the streams and in the stream’s mouth as non-adequate or slightly-adequate. On the other hand, the areas close to the drainage divides of the basin showed to be highly-adequate. The center of the basin and the region between the Jataí and the Lagoinha streams are also highly-adequate to infiltration. These areas with higher adequacy are appropriate to the implementation of structural and non-structural measures that seek to reduce flood risks. Thus, we hope to contribute to urban planning in this study area through these geoenvironmental maps.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".