CONDUTIVIDADE HIDRÁULICA DO SOLO SATURADO NA ZONA VADOSA IN SITU E EM LABORATÓRIO
Bibliographic record
Abstract
CONDUTIVIDADE HIDRÁULICA DO SOLO SATURADO NA ZONA VADOSA IN SITU E EM LABORATÓRIO Rodrigo Trevisan1; Luiz Felippe Salemi1; Jorge Marcos de Moraes1; Júlio Cesar Martins de Oliveira(4)(1)Laboratório de Ecologia Isotópica, Centro de Energia Nuclear na Agricultura, Universidade de São Paulo, Piracicaba, SP, e-mail: rtrevisan@cena.usp.br (4)Laboratório de Física de Solos, Centro de Energia Nuclear na Agricultura, Universidade de São Paulo, Piracicaba, SP 1 RESUMO A condutividade hidráulica do solo é uma propriedade fundamental na determinação da dinâmica da água e de solutos em solos saturados e não - saturados, sendo útil na resolução de problemas relacionados à preservação do meio ambiente, da agricultura e dos recursos hídricos. Muitos métodos são empregados para a sua determinação em solos saturados, tanto em campo como em laboratório, cada um com suas vantagens e desvantagens. Nesse contexto, o objetivo do presente trabalho foi o de comparar um método de campo, o método do permeâmetro de carga constante (“Permeâmetro Guelph”), e um método de laboratório, também de carga constante usando amostras indeformadas de solo, em um solo classificado como Latossolo Vermelho Escuro, da região de Piracicaba - SP. Conclui-se que o método de campo e o método de laboratório não podem ser considerados diferentes. UNITERMOS: permeabilidade; zona não saturada; latossolo; permeâmetro guelph. TREVISAN, R.; SALEMI, L. F.; MORAES, J. M.; OLIVEIRA, J. C. M. THE SATURATED HYDRAULIC CONDUCTIVITY IN THE VADOSE ZONE IN SITU AND IN LABORATORY 2 ABSTRACT The saturated hydraulic conductivity of the soil is a fundamental parameter to determine water and solutes dynamics in the soil, and it is useful to resolve problems related to environmental, agricultural and water resources preservation. Many methods are used for its determination, in field and in the laboratory, each one with its advantages and disadvantages. The main objective of the present work was to compare a field method, using a constant head permeameter (“Guelph Permeameter”), to a laboratory method also employing a constant head in undisturbed samples in a soil classified as dark red Latosol (Oxisol) in the area ofPiracicaba. The results show, through statistical analysis, that the values obtained by the field and laboratory methods cannot be considered different. KEYWORDS: permeability; unsaturated zone; oxisol;guelph permeameter.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".