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Record W2015358111 · doi:10.2136/vzj2005.0022

Long‐Term Solute Transport under Semi‐Arid Conditions: Pedon to Field Scale

2006· article· en· W2015358111 on OpenAlexaffabout
Shelley A. Woods, R. G. Kachanoski, Miles Dyck

Bibliographic record

VenueVadose Zone Journal · 2006
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversity of AlbertaAgriculture Food and Rural Development
Fundersnot available
KeywordsTransectTRACERSoil waterVadose zoneSoil horizonAridHydrology (agriculture)Soil scienceSurface waterSpatial variabilityEnvironmental scienceGeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Knowledge of factors controlling the spatial and temporal variability of transport in the vadose zone is limited. The objective of this study was to quantify the transport of a tracer at the field scale after 34 yr of low transient flow under semiarid conditions. A Cl − tracer was surface applied to plots (a Chernozemic soil) near Saskatoon, Canada. Thirty‐four years later, soil cores (6‐m depth) were taken along a 90‐m transect (1‐m spacing) and two embedded 10‐m transects (0.2‐m spacing) along one of the plots. The cores were sectioned (0.1‐m intervals) and analyzed for Cl − , bulk density, and soil water content. Although the site is level, slight differences in surface slope had a great effect on surface water redistribution, soil profile development, and the movement of water and solute. After 34 yr, the mean travel depth of the Cl − on a slight knoll was 1.70 m below the surface, compared with 2.76 m in a very slight depression 20 m away. The grade between knoll and depression was 1.8%. After a 19‐mo fallow period, considerably more redistributed surface water was stored in the soil in the slight depression than on the nearby level area. The spatial pattern of the increase in soil water storage (19 mo) was significantly correlated to Cl − transport (34 yr) suggesting that the measured pattern of increase in soil water storage was typical of long‐term patterns. The measurements suggested that 10% of redistributed water ended up as increased deep drainage.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.670

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)0.0010.000

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 head0.214
Teacher spread0.207 · 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 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

Citations11
Published2006
Admission routes2
Has abstractyes

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