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Fractured Rock Geophysical Studies In The Clare Valley, South Australia

2000· article· en· W2335490633 on OpenAlexaff
Tom Wilson, Graham Heinson, Anthony L. Endres, Todd Halihan

Bibliographic record

Venue13th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsGeologyHydrogeologyAquiferGroundwaterIrrigationGeophysicsHydrology (agriculture)GeomorphologyMining engineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

Groundwater in the Clare Valley, South Australia is drawn from fractured rock aquifers.<br>Acquiring reliable groundwater sources in fractured rock aquifers is complicated by the<br>irregular distribution of fractures, causing large spatial variation in bore yield. With the rapid<br>development of new vineyards of recent years expected to continue, the issue of sustainable<br>resource management is of utmost importance. The primary object of this paper is to develop<br>existing geophysical field techniques and data interpretation to assist in defining preferential<br>flow paths due to hydraulically conductive fractures, and thus assist defining capture zones of<br>irrigation bores in the Clare Valley.<br>Detailed surface azimuthal resistivity surveys utilising DC resistivity and EM induction<br>methods were performed at a number of locations to determine electronic (and thus<br>hydraulic) anisotropy and heterogeneity. Strong electrical anisotropies were detected with<br>both methods. A mise a la masse survey was also carried out at one site with a down hole<br>current source and a roving potential electrode.<br>The success of the project has been two-fold. Firstly, the geophysical methods employed<br>have shown excellent potential to provide important information in the determination of<br>capture zones of irrigation bores when combined with other hydrogeological information.<br>Secondly, improvements in geophysical field methods and data interpretation have been<br>developed, with the potential to be applied to future studies of fractured rock aquifers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.227
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2000
Admission routes1
Has abstractyes

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