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Record W2519065822

Modeling the response of a shallow alluvial aquifer to impacts of climate variability and anthropogenic water withdrawal in northwestern Oklahoma.

2013· dissertation· en· W2519065822 on OpenAlexaboutno aff
Joseph T. Zume

Bibliographic record

VenueSHAREOK (University of Oklahoma) · 2013
Typedissertation
Languageen
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsnot available
FundersUniversity of OklahomaU.S. Environmental Protection Agency
KeywordsAquiferGeologyClimate changeHydrology (agriculture)AlluviumEnvironmental scienceGroundwaterPhysical geographyGeographyOceanographyGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

Alluvial aquifers are the most reliable sources of water for human consumptive uses and for sustaining riparian ecosystems in semiarid environments. Regardless, very little is known about their dynamics relative to bedrock aquifers. For example, it is not entirely clear how alluvial aquifers respond to impacts of climate variability and change. Similarly, the question about how pumping these aquifers impact stream-aquifer interactions has not been fully explored. This dissertation explores the dynamics within the alluvium and terrace (A&T) aquifer of the Beaver-North Canadian River (BNCR) in semiarid northwestern Oklahoma. The study includes three self-contained but related studies; (1) an analysis of northwestern Oklahoma precipitation and streamflow time-series for trends and periodicities; (2) an investigation of the impacts of groundwater pumping on stream-aquifer interactions within the alluvial basin, and (3) a numerical simulation of the response of the alluvial aquifer to various scenarios of climate variability and anthropogenic groundwater pumping. The numerical simulation is accomplished using a three-dimensional groundwater flow model, MODFLOW.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.212
Teacher spread0.205 · 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.

Study designObservational
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

Citations0
Published2013
Admission routes1
Has abstractyes

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