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Record W2045699237 · doi:10.2110/jsr.2005.004

Characteristics of Gravel Bars in Ephemeral Streams

2005· article· en· W2045699237 on OpenAlexaff
Marwan A. Hassan

Bibliographic record

VenueJournal of Sedimentary Research · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsUniversity of British Columbia
FundersHebrew University of Jerusalem
KeywordsEphemeral keyGeologySTREAMSHydrology (agriculture)Geotechnical engineeringGeomorphologyEcologyComputer science

Abstract

fetched live from OpenAlex

Abstract Bars are major sediment storage places within channels, and much is known about their character from proglacial and temperate regions. Little is know, however, about bar characteristics from ephemeral streams. This study describes the morphology and composition of simple and compound gravel bars in Nahal Zin, Israel, an ephemeral desert stream. A hierarchy of microscale, mesoscale and macroscale structures and bed forms was identified in Nahal Zin that is similar to the hierarchy described for perennial streams. While the hierarchy is similar between arid and perennial streams, bar composition patterns are distinct. Compound bars and unit bars in humid areas are known to have armored surfaces composed of structured gravels, whereas the bar surfaces of both unit bars and compound bars in Nahal Zin were found to lack surface structures and to contain a large amount of sand. In ephemeral streams, both accreted and dissected compound bars do not display any downstream fining; in contrast, downstream fining along bars in humid areas is well documented. The flashy nature of floods, high sediment supply, high sediment transport rates, and large amount of sand associated with the bars are likely reasons the surfaces were not armored. In Nahal Zin, erosion and accretion dominate the bar edges, and accretion alone dominates the platform part of the bars. In summary, sediments in ephemeral streams of the Nahal Zin type are well mixed, unsorted, and unlikely to leave a well-defined stratigraphic record. These characteristics are distinct from their counterparts in proglacial and temperate regions and may be useful when investigating paleoenvironmental conditions.

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)0.002
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 score0.032
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.031
GPT teacher head0.320
Teacher spread0.289 · 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

Citations70
Published2005
Admission routes1
Has abstractyes

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