Nature-Based Solutions to Rehabilitate Erosion Processes in a Brazilian Urban Settlement
Bibliographic record
Abstract
The study site, an informal settlement in Contagem, within the Belo Horizonte metropolitan area, faces severe erosional processes.This degradation stems from urban expansion's profound impact on a landscape characterized by a high density of headwaters.The rapid and intense urbanization has significantly altered natural hydrological pathways, leading to gully formation in preserved areas and ravines in urbanized sectors.Given this critical environmental context, rehabilitation procedures employing nature-based solutions (NBS) were recommended.A model was proposed for the restoration of degraded water channels, stabilization of eroded slopes, and improvement of urban thoroughfares, directly targeting areas most impacted by erosional phenomena.Consequently, a threetiered restoration framework was established for the site: 1channel restoration, focused on managing water velocity and flow dynamics; 2-slope restoration, implemented in two stages-physical stabilization via berm construction along contour water lines and biological stabilization through the planting of herbaceous and woody species; 3-street restoration, aiming to enhance hydrological pathways via gutters and collector drains, as well as to boost permeability through rain garden construction.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".