Interpreting Variable-head Tests Performed in Open Boreholes or Monitoring Wells with Several Screens
Bibliographic record
Abstract
Abstract Variable-head permeability tests can be performed in open boreholes or monitoring wells having either a long screen or several screened zones. In all cases, a test involves several layers composed of fractured rocks or pervious soils. In the hole or the pipe, the static water level represents some mean value of the hydraulic heads within the aquifer layers, a complex pattern of water circulation having been established within the open hole or the screened aquifers. This paper provides first the equation relating the static water level to the hydraulic and geometric parameters of the aquifers, and then the extended theory for variable-head tests under such conditions. According to theory and numerical analyses, such tests should provide straight semi-log head responses and velocity graphs. In real conditions, however, as shown by a series of field tests performed in a monitoring well equipped with three screens, broken line velocity graphs may be obtained. Such piecewise linear lines indicate that the product “hydraulic conductivity × shape factor” varies during the test within one or several aquifer layers. These variations can be related to internal erosion, which happens close to a screen when the gradient and seepage forces change direction during testing. This is confirmed by numerical modeling.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".