Mapeamento e caracterização do meio físico como indicativo de susceptibilidade erosiva na bacia hidrográfica do ribeirão São Lourenço Ituiutaba/MG
Notice bibliographique
Résumé
The research was conducted in the Ribeirão São Lourenço watershed of the Ituiutaba and Prata municipalities.This watershed, in the west of the State of Minas Gerais, covers 295 km².The São Lourenço stream is the principal source of water for the city of Ituiutaba.The local agriculture has been characterized as an important economic activity in the study area but is also the main factor in environmental degradation.In the last four years three new areas have been urbanized in the basin.This activity also, could further impact the hydrological situation of the basin.Thus, the present study aims to characterize the attributes of the physical environment in order to identify susceptibility to the dangers of erosion.Fieldwork, academic research, topographic maps, photo-interpretation of satellite images, aerial photographs and radar operations were used to elaborate the cartographic bases of the study.Field trials with the Guelph permeameter and laboratory data (physical indices, erodibility, aggregate stability, particle size) made it possible to define five classes of unconsolidated materials.Operations with controlled overlapping themes were conducted using ArcMap 9.3 software.Three maps were generated to present the environmental conditions of the basin in relation to the occurrence of erosion: the Runoff Potential (3rd level), Potential Erosion (4th level) and Susceptibility to Erosion (5th level).The latter presents three levels of erosion susceptibility: high, medium and low.Results demonstrate that areas of high susceptibility occupy 9,1% of the basin, with areas of slopes above 10% and the presence of gullies.Locations characterized by average susceptibility occupy 36,9% of the watershed.These areas include medium potential for erosion (map of the 4th level) and the occurrence of ravine type erosion.The areas with low susceptibility to erosion were areas of flat terrain.These areas occupy 54% of the study area and do not present problems of erosion.Together, the areas of high and medium susceptibility to erosion, however, represent almost half of the watershed area.In these locations, erosional features (gullies and/or ravines) are already present.Study results from the area of the São Lourenço basin thus imply the need for appropriate management practices to protect their natural weaknesses.It is hoped that the information generated in this study will contribute to effort on the part of local public agencies in planning policy for the basin and subsequently for the water resources.Furthermore, it is hoped that additional research will develop from this pioneer discussion of the watershed that supplies Ituiutaba (MG).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,023 | 0,007 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».