KANDUNGAN LOGAM BERAT (Cu, Pb, Zn, Cd, dan Cr) DALAM AIR DAN SEDIMEN DI PERAIRAN TELUK JAKARTA
Bibliographic record
Abstract
Penelitian Lingkungan dan Kebencanaan Geologi Kelautan Perairan Teluk Jakarta (Tanjung Kait – Muara Gembong) dilakukan pada bulan Oktober - November 2010. Uji logam berat (Cu, Pb, Zn, Cd, dan Cr) dilakukan terhadap 28 contoh air laut dan 28 contoh sedimen dasar laut menggunakan metoda Atomic Absorption Spectrophotometry (AAS). Tujuan penelitian ini adalah untuk mendapatkan data dan informasi kondisi lingkungan terkini dari kandungan logam berat dalam air laut dan sedimen dasar laut. Kandungan logam berat (air laut dalam mg/l : sedimen dasar laut dalam ppm) terukur sebagai berikut : Cu ( <0.005 : 15.000-169.500 ); Pb (0.005-0.011 : 14.000-58.100); Zn (0.005-0.007 : 95.800-333.000); Cd (0.006-0.015 : 0.012-0.750); Cr (<0.001 : 45.320-139.180). Berdasarkan Metode Storet dapat dilihat nilai status mutu air laut perairan ini adalah -12, berarti bahwa kualitas air laut di perairan termasuk kelas C (tercemar sedang). Sedangkan status mutu sedimen di perairan menunjukkan skor nilai status mutu sedimen adalah 0, yang berarti bahwa kualitas sedimen termasuk kelas A (tidak tercemar/memenuhi baku mutu). Jelas terlihat bahwa nilai ambang batas (NAB) logam berat dalam sedimen jauh lebih tinggi dari NAB logam berat dalam air. Kata kunci: logam berat, sedimen dasar laut, air laut, nilai status mutu Marine Environmental and Geological Hazard Survey In Jakarta Bay Waters (Tanjung Kait - Muara Gembong) conducted in October-November 2010. Testing of heavy metals (Cu, Pb, Zn, Cd, and Cr) performed on 28 samples of sea water and 28 subsurface sediment samples using the method of Atomic Absorption Spectrophotometry (AAS). The purpose of this study was to obtain data and information on current environmental conditions of heavy metal content in seawater and subsurface sediment. Heavy metal content (sea water in mg/l: subsurface sediment in ppm) measured as follows: Cu ( <0.005 : 15.000-169.500 ); Pb (0.005-0.011 : 14.000-58.100); Zn (0.005-0.007 : 95.800-333.000); Cd (0.006-0.015 : 0.012-0.750); Cr (<0.001 : 45.320-139.180). Based on the Storet method shows the value of water quality status of sea waters is -12, which means that the seawater quality in these waters belong to a class C (medium contaminated). While the status of sediment quality in these waters indicate subsurface sediment quality score status value is 0, which means that subsurface sediment quality belongs to the class A (not polluted/correspond to the quality standards). It is clearly seen that the threshold value (NAV) of heavy metals in sediments is much higher than the NAV of heavy metals in water. Keywords: heavy metal, subsurface sediment, seawater, quality score status
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.009 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".