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Record W1988307083 · doi:10.1680/ener.2010.163.3.107

Hydro-environmental modeling of proposed Severn barrage, UK

2010· article· en· W1988307083 on OpenAlexfundno aff
Reza Ahmadian, Roger A. Falconer, Binliang Lin

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Energy · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
FundersEngineering and Physical Sciences Research CouncilUniversity of Ottawa
KeywordsEstuaryHydrology (agriculture)Benthic zoneEnvironmental scienceSedimentCurrent (fluid)OceanographyTidal currentFlood mythChannel (broadcasting)Deposition (geology)GeologyGeomorphologyGeographyGeotechnical engineeringEngineering

Abstract

fetched live from OpenAlex

This paper presents details of a numerical modelling study of the Cardiff–Weston barrage proposal for Britain’s River Severn, previously studied by the Severn Tidal Power Group. The study focuses mainly on investigating the potential far-field and near-field hydro-environmental impacts of the barrage by using an integrated one- and two-dimensional numerical hydro-environmental model. The model was set up for a large domain, starting from the outer Bristol Channel close to Lundy Island to the River Severn tidal limit near Gloucester. Potential changes in water elevations, tidal currents and consequently flood risk, sediment concentrations and background bacterial levels were assessed by comparing the model predictions for both the existing conditions and those with the barrage included. The results of the study show that the barrage has the potential to reduce maximum water elevations and tidal currents in this highly dynamic estuary. As a result of changes in tidal currents, a corresponding reduction in suspended sediment levels will lead to a predicted reduction in the concentration levels of faecal bacteria, which are associated with sediment deposition/erosion and increased light penetration within the water column. An increase and change in the benthic biodiversity of the estuary is also predicted to occur.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.503

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 studies0.0000.001
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 head0.004
GPT teacher head0.167
Teacher spread0.163 · 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 designBench or experimental
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

Citations52
Published2010
Admission routes1
Has abstractyes

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