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Record W2769055315 · doi:10.5539/jgg.v9n4p19

Influence of Climatic Phenomena on Sedimentation and Increase of Lake Enriquillo in Dominican Republic, 1900-2014

2017· article· en· W2769055315 on OpenAlexvenueno aff
Rafael Méndez‐Tejeda, Ramón Delanoy

Bibliographic record

VenueJournal of Geography and Geology · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAeolian processes and effects
Canadian institutionsnot available
FundersUniversity of Agricultural Sciences, Dharwad
KeywordsOceanographyTropical cycloneStormClimatologyEnvironmental scienceAnticycloneGeologyHydrology (agriculture)

Abstract

fetched live from OpenAlex

From 2003 to 2013, Enriquillo Lake, Dominican Republic, showed an increase in water level of 13 meters, with its level changing from 42 to 29 meters below sea level (BSL). In 2003, its maximum depth was approximately 24 meters; in 2013, it was 37.1 meters. The water surface coverage increased from 194.9 to 391 km2, flooding agricultural areas and leaving hundreds of people homeless. In addition, salinity increased from 105 ‰ to 23.4 ‰, a decrease of 4.47 times comparable to the volume change, which increased 4.48 times according to topographic and bathymetric maps. These changes began with Tropical Storm Odette and occurred progressively through 15 additional tropical cyclones (TC) or hurricanes that struck Lake Enriquillo between 2003 and 2011. Other climatic phenomena that have great influence on the Caribbean climate include the following: North Atlantic Oscillation (NAO), Southern El Niño Oscillation (ENSO), the trade winds, North Atlantic Warm Pool, Multidecadal Oscillation, the anticyclone Caribbean Regulator Climate Centers (CRCCs), and the Bermuda-Azores High (Mendez-Tejeda et al. 2017). The sediment records deposited by the runoff from these phenomena were analyzed. These proxy records were used to determine the decadal fluctuations related to cyclonic systems and the resultant effect upon increasing the level of Lake Enriquillo (LE). The accumulation rate (TAS) was estimated by means of 210 (210Pb) lead radiochronology, elemental composition, and mineral and ignition loss. These results were correlated with the extreme climatic events that affected the Lake Enriquillo Basin (LEB) from 1900 and 2011.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.208

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.230
Teacher spread0.225 · 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

Citations6
Published2017
Admission routes1
Has abstractyes

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