Investigating the Precision of Hydraulic Conductivity and Sorptive Number Estimation in Cased Boreholes by Reynolds Analysis: The Cased of Pakdasht Region
Bibliographic record
Abstract
Saturated hydraulic conductivity (Kfs) and sorptive number are the most important hydraulic characteristics effective on soil process. Cased boreholes falling-head permeameter (Philip method) is the one of hydraulic conductivity measurement borehole method. The analysis borehole cased falling-head in unsaturated area promoted and investigated .This method has been investigated by HYDRUS- 2D simulator but in this study is not use experimental data. The purpose of this study precision investigation and determine Reynolds method accuracy by experimental data. Thirty boreholes has been prepared, 12 boreholes with 4 different length and 4 centimeters diameter, 9 boreholes with 3 different length and diameters of 6 and 8 centimeters (3 replications done for each length). A program was written by FORTRAN language for solving the equations presented by Reynolds. Shaghaghi et al determine soil hydraulic conductivity by Guelph method in mentioned area. The results gained by FORTRAN program compared by Shaghaghi et al results. Results showed that the best data drawdown zone for determining Kfs and α* is lower range of data. Considering studies is shown that diameter and length of cased boreholes are not effective on investigation and every length and diameter can be used for solving Reynolds equation. Also the results show that the best gravity factor for precision of estimation is obtained in zero value.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".