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Record W2289362801 · doi:10.18172/cig.1284

Alteración hidrológica del barranco de Lerma (Zaragoza) por la transformación en regadío

2013· article· es· W2289362801 on OpenAlexaff
J. Causapé, Daniel Merchán, Raphael Abrahão, I. García-Garizábal

Bibliographic record

VenueCuadernos de Investigación Geográfica · 2013
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicHistorical and socio-economic studies of Spain and related regions
Canadian institutionsLaurentian University
Fundersnot available
KeywordsIrrigationHydrology (agriculture)Environmental scienceNitrateReturn flowWater resource managementFlow (mathematics)GeologyMathematicsAgronomyChemistry

Abstract

fetched live from OpenAlex

El regadio se expande sin un verdadero conocimiento del impacto que genera ni de su evolucion en el tiempo. Este trabajo pretende analizar la alteracion que supone una transformacion en regadio sobre la hidrologia del cauce natural receptor de sus retornos de riego. Para ello, se han cuantificado tendencias e identificado variaciones estacionales del caudal, conductividad electrica y concentracion de nitrato del barranco de Lerma (Zaragoza) desde su condicion de secano (2004) hasta que el nuevo regadio estuvo consolidado (2011). La transformacion en regadio supuso un aumento de caudal (4.2 L/s ano) y concentracion de nitrato (5.6 mg/L ano). La conductividad electrica disminuyo (-0.4 mS/cm ano), aunque la masa de sales exportada tambien se incremento (232 kg/ano) a causa del ascenso de caudal. La gestion del regadio unido a las caracteristicas hidrogeologicas genero ciclos anuales, semanales y diarios en los parametros analizados. Los resultados ponen de manifiesto la alteracion hidrologica y su evolucion en el tiempo por la puesta en regadio que deberia ser tenida en cuenta para la adecuada planificacion de los recursos hidricos.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.007

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 head0.016
GPT teacher head0.216
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations2
Published2013
Admission routes1
Has abstractyes

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