Detection of A Fissural Aquifer Through Multiple Vertical Electric Soundings and by Multilevel Electric Profiling
Bibliographic record
Abstract
RESUMO O presente trabalho analisa o efeito da adoção de diferentes configurações do método da eletrorresistividade para investigar a ocorrência de potenciais aquíferos fissurais. Em uma área onde reconhecidamente existe uma zona de fraturas subverticais no embasamento cristalino foram aplicadas as técnicas de múltiplas sondagens elétricas verticais (SEVs), utilizando o arranjo Schlumberger, e o caminhamento elétrico utilizando o arranjo gradiente multinível. Três diferentes configurações foram testadas em uma mesma linha cuja direção é aproximadamente perpendicular aos planos das fraturas. Os resultados obtidos mostram que o caminhamento elétrico multinível pelo arranjo gradiente apresentou maior clareza na detecção da zona de fraturas em relação às configurações utilizando sondagens elétricas verticais. No entanto, tais estruturas subverticais ainda poderiam ser detectadas por sondagem elétrica, desde que adotado um afastamento adequado entre os centros das SEVs. As seções geoelétricas obtidas pelas configurações testadas indicam a presença de uma estrutura acumuladora de água subterrânea do tipo riacho-fenda. Adicionalmente, o caminhamento elétrico pelo arranjo gradiente apresenta vantagens operacionais em relação às demais configurações, sendo mais prático e rápido nos trabalhos de aquisição de dados no campo. Palavras-Chaves: Hidrogeofísica, eletrorresistividade, embasamento cristalino. ABSTRACT This paper analyzes the effect of adoption of different configurations of electric resistivity method to investigate the occurrence of potential fractured aquifers. In an area where there is a sub vertical fracture zone in the crystalline basement the techniques of multiple vertical electrical soundings (VES), using the Schlumberger array, and electrical profiling using the multilevel gradient array, were applied. Three different configurations were tested in a same line whose direction is approximately perpendicular to the fracture plan. The results show that the multilevel gradient array presented better clarity in detecting fracture zone than the settings using vertical electrical soundings. However, such sub vertical structures could still be detected by VES, since it is adopted a proper separation between the VES centers. Obtained geoelectric sections indicate the presence of a groundwater accumulating structure composed by a crack-induced stream. Additionally, the electric gradient profiling presents operational advantages in relation to other arrays, being more practical and fast for data acquisition in the field. Keywords: Hydrogeophysics, electric resistivity, crystalline basement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".