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Record W2011068024 · doi:10.5539/mas.v8n4p246

Groundwater Level and Salinity Degradation in Farm Land through Groundwater Pumping Irrigation System in Coastal Area of Takalar Regency

2014· article· en· W2011068024 on OpenAlexvenueno aff
Darwis Darwis, Abdul Rakhim Nanda, Abubakar Idha

Bibliographic record

VenueModern Applied Science · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsGroundwaterEnvironmental scienceSalinityHydrology (agriculture)Infiltration (HVAC)IrrigationSoil salinityGroundwater dischargeGroundwater rechargeAquiferSoil scienceGeologySoil waterGeographyEcologyOceanographyGeotechnical engineering

Abstract

fetched live from OpenAlex

This study is conducted to find out correlation between released groundwater volume and groundwater level and salinity degradation as well as to find effective infiltration holes formation for groundwater augmentation. It belongs to field experimental research. This study concludes some concerns, they are: (1) Groundwater condition in farm land of coastal area in Takalar Regency has undergone salinization and groundwater salinity escalation in every groundwater release is very high. Groundwater release volume is directly proportional to groundwater salinity escalation with relatively high rate on its escalation gradient; (2) Total degradation of groundwater level in coastal farm land ranges from 14 to 15 cm, and it is relatively low compared to total occurred degradation of groundwater level in observed inner land in early year (ranging from 100 to 150 cm); (3) Number of infiltration hole significantly affects escalation volume of augmentation and groundwater salinity rate degradation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.039
GPT teacher head0.240
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2014
Admission routes1
Has abstractyes

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