A Multilevel System for High‐Resolution Monitoring in Rotasonic Boreholes
Bibliographic record
Abstract
Abstract A modular multilevel system was adapted for high‐resolution, depth‐discrete monitoring of hydraulic head and ground water quality in rotasonic boreholes or boreholes produced with similar dual‐casing drilling methods. The system accommodates up to 15 monitoring intervals within one hole and can be used to monitor overburden and/or bedrock to depths of 100 m (330 feet) or more. It is most effective where static water levels are shallower than 9 m (30 feet) below ground surface. Sand packs around each monitoring port define the monitoring interval, and bentonite seals placed above and below each sand pack isolate the intervals. Each sand and bentonite layer has a practical minimum length of 0.5 m (1.6 feet); therefore, a 15 port system can monitor, with maximum detail, a minimum vertical span of 15 m (50 feet). All system components, primarily flush joint polyvinyl chloride (PVC) casing segments, stainless steel ports, Teflon ® tubing, and PVC centralizers, are commercially available and require little preconstruction. An open 6‐mm (¼‐inch) inner diameter tube is connected to each port for manual hydraulic head measurements and water sampling with a peristaltic pump. To assess installation and performance of the new system, nine rotasonic holes in overburden and bedrock between 20‐ and 30‐m (65‐ and 100‐feet) deep were monitored at two sites. This detailed vertical monitoring provided important information on hydraulic head and contaminant distributions that would have been missed with fewer monitoring intervals. The monitoring system offers unique advantages where detailed monitoring in heterogeneous settings is needed to understand ground water flow and contaminant migration or evaluate the performance of remediation efforts.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".