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Record W2137176570

Tidal Components of Nahr-El-Qasr Station

2014· article· en· W2137176570 on OpenAlexvenueno aff
Abdolghader Pourali, Abdul-Sahib Hasani Nejad, Naser Sokri

Bibliographic record

VenueJournal of academic and applied studies · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsLongitudeLatitudeWater levelTidal forceEnvironmental scienceHydrology (agriculture)MeteorologyGeologyGeographyGeodesyCartographyPhysicsAstronomy
DOInot available

Abstract

fetched live from OpenAlex

Tides attract humans’ attentions since thousands of years and observed as a phenomena affected by celestials and terrains parameters. The Nahr-El-Qasr, Latitude 32.00 N and Longitude 53.00 E, (see reference x) station situated in the heart of El-Qasabah and represents the tidal effects and water level fulctuations of the boundary river Arwand River. In this paper data of the water height for eight months from January 1998 to September 1999, in Nahr-El-Qasir, investigated. We applied spectral analysis to determine the tidal constituents. At first the water height data arranged in a time series form then using FFT method we find twenty four tidal constituents including MSf ، Mf ، 2Q1 ، Q1 ، Rho1 ، O1 ، M1 ، P1 ، K1 ، J1 ، OO1 ، 2N2 ، N2 ، Nu2 ، M2 ، Lambda2 ، L2 ، T2 ، K2 ، 2MK3 ، MK3 ، MN4 ، M4 ، MS4. The strongest component is Mf which shows that the main fluctuations are due to the astronomical origin. However considering f-number in American scale which is 1.43 the dominant tide is mixed and because of many tidal constituents with periods that are not recognized as standard periods, we can say that study area is strongly affected by the local parameters.

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 score0.584
Threshold uncertainty score0.210

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)0.0000.000

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 head0.022
GPT teacher head0.293
Teacher spread0.271 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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