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Record W3113571669 · doi:10.21107/jk.v13i3.7823

PERUBAHAN SEBARAN LIMBAH AIR PANAS PT. PJB UP MUARA KARANG AKIBAT MASTERPLAN REKLAMASI

2020· article· en· W3113571669 on OpenAlexaff
Alfath Islami, Rudhy Akhwady, M Mauludiyah

Bibliographic record

VenueJurnal Kelautan Indonesian Journal of Marine Science and Technology · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicWater and Land Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsLand reclamationEnvironmental scienceCurrent (fluid)Environmental engineeringGeographyPhysics

Abstract

fetched live from OpenAlex

T he reclamation master plan in muara karang waters has the potential to influence the hydrodynamic conditions and the temperature distribution of the waters affected by the inclusion of hot water waste from the PT.PJB UP muara karang power plant activities. T he purpose of this study is to determine changes in current patterns and the heat distribution of waste water from PT. PJB UP muara karang due to the reclamation master plan in muara karang waters, north Jakarta. this research uses hydrodynamic modeling. T he hydrodynamic modelling is based on continuity and momentum equations. T he model produced in this study is quite in accordance with field conditions with a relative error value less than 15%. the conditions of reclamation masterplan result the change of current patterns, especially around the intake canal where the current velocity decreased due to obstruction of water mass flow by islands g and h and the canal boundary on both. the changes of the current pattern inflicted the changes of distribution pattern of heat water waste in muara karang. I ncreased water temperatures due to the reclamation masterplan occur in the western and eastern areas with a difference in water temperature of 0.35 o c - 1 o c compared to post reclamation conditions. this is inversely proportional to the temperature in the area around the intake canal which is decreased with a temperature difference of -1 o c to -3 o c. keyword : R eclamation, T hermal dispersion, M odeling ABSTRAK Rencana induk reklamasi di perairan Muara Karang berpotensi mempengaruhi kondisi hidrodinamika dan distribusi temperatur perairan yang dipengaruhi oleh masuknya limbah air panas dari kegiatan PLTU PT.PJB UP Muara Karang. Tujuan dari penelitian ini adalah untuk mengetahui perubahan pola arus dan distribusi kalor air limbah dari PT. PJB UP Muara Karang karena adanya rencana induk reklamasi di Perairan Muara Karang, Jakarta Utara. Penelitian ini menggunakan pemodelan hidrodinamik. Pemodelan hidrodinamika didasarkan pada persamaan kontinuitas dan momentum. Model yang dihasilkan pada penelitian ini cukup sesuai dengan kondisi lapangan dengan nilai error relatif kurang dari 15%. Kondisi masterplan reklamasi mengakibatkan terjadinya perubahan pola arus terutama disekitar intake canal dimana kecepatan arus menurun akibat terhambatnya aliran massa air oleh pulau G dan H serta batas saluran pada keduanya. Perubahan pola arus tersebut menyebabkan terjadinya perubahan pola sebaran limbah air panas di Muara Karang. Peningkatan suhu air akibat masterplan reklamasi terjadi di wilayah barat dan timur dengan perbedaan suhu air 0,35oC - 1oC dibandingkan kondisi pasca reklamasi. Hal ini berbanding terbalik dengan temperatur di sekitar saluran intake yang mengalami penurunan dengan perbedaan temperatur -1oC sampai -3oC. Kata Kunci: Reklamasi; Sebaran Panas; Pemodelan

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0270.003

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 head0.007
GPT teacher head0.201
Teacher spread0.193 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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