A Numerical Modelling Procedure for the Study of the Streaming Potential Phenomenon in Embankment Dams
Bibliographic record
Abstract
PreviousNext No AccessSymposium on the Application of Geophysics to Engineering and Environmental Problems 2003A Numerical Modelling Procedure for the Study of the Streaming Potential Phenomenon in Embankment DamsAuthors: Megan R. ShefferJohn A. HowieMegan R. ShefferUniversity of British Columbia, Vancouver, Canada and John A. HowieUniversity of British Columbia, Vancouver, Canadahttps://doi.org/10.4133/1.2923191 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InReddit Abstract Introductory paragraph for this paper is available only in the PDF and GZipped PS filesPermalink: https://doi.org/10.4133/1.2923191FiguresReferencesRelatedDetailsCited byJoint Interpretation of Marine Self‐Potential and Transient Electromagnetic Survey for Seafloor Massive Sulfide (SMS) Deposits: Application at TAG Hydrothermal Mound, Mid‐Atlantic Ridge2 November 2022 | Journal of Geophysical Research: Solid Earth, Vol. 127, No. 11Review: Some low-frequency electrical methods for subsurface characterization and monitoring in hydrogeology10 February 2012 | Hydrogeology Journal, Vol. 20, No. 4Saline pulse test monitoring with the self‐potential method to nonintrusively determine the velocity of the pore water in leaking areas of earth dams and embankments28 April 2012 | Water Resources Research, Vol. 48, No. 4Geophysical investigation for the rehabilitation of a flood control embankment1 May 2010 | Near Surface Geophysics, Vol. 8, No. 4Preferential fluid flow pathways in embankment dams imaged by self‐potential tomography1 March 2009 | Near Surface Geophysics, Vol. 7, No. 5-6Detection and localization of hydromechanical disturbances in a sandbox using the self-potential method30 January 2008 | Journal of Geophysical Research, Vol. 113, No. B1Streaming potentials of granular media: Influence of the Dukhin and Reynolds numbers11 August 2007 | Journal of Geophysical Research: Solid Earth, Vol. 112, No. B8A Graphical 3D Finite Element Program for Modelling Self-Potentials Generated by Flow Through a Porous MediumAndrew P. Bérubé21 June 2012 | Journal of Environmental and Engineering Geophysics, Vol. 12, No. 2Self‐potential signals associated with pumping tests experiments7 October 2004 | Journal of Geophysical Research: Solid Earth, Vol. 109, No. B10 Symposium on the Application of Geophysics to Engineering and Environmental Problems 2003 ISSN (online):1554-8015 Copyright: 2003 Pages: 1491 publication data© 2003 Copyright © 2003 The Environmental and Engineering Geophysical SocietyPublisher:Environmental & Engineering Geophysical Society HistoryPublished Online: 30 Sep 2008 CITATION INFORMATION Megan R. Sheffer and John A. Howie, (2003), "A Numerical Modelling Procedure for the Study of the Streaming Potential Phenomenon in Embankment Dams," Symposium on the Application of Geophysics to Engineering and Environmental Problems Proceedings : 475-487. https://doi.org/10.4133/1.2923191 Plain-Language Summary PDF DownloadLoading ...
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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 | 0.000 |
| 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".