Potential Risks of Total Mercury Accumulation in Aquatic System at Luwuk Gold Mine Central Sulawesi, Indonesia
Bibliographic record
Abstract
This study aimed to investigate the environmental risks of Total Mercury (THg) accumulation due to the traditional gold mine in Luwuk and vicinity areas in Central Sulawesi, Indonesia. THg was assessed around ore amalgamation process area and panning activity in the Toili River. Sampling survey for water column, sediment (0-5 cm) ??? (5-10cm) depth and bivalve (Anadara trapezia Sp.) in river as well as water column, tuna (Thunnus sp.), red fish (L. Campechanus) and oyster (Crassostrea virginica Sp.) in the sea were collected. Furthermore, the potential environmental risks evaluated using hazard quotient equation. Results show, THg in water column in river ranged from (0.13 to 0.48 ??gL-1), sediment 0-5cm depth (107.78 to 167.06 ??g kg-1dw), sediment 5-10cm depth (95.44 to 128.85 ??g kg-1dw) bivalve Anadara trapezia Sp. (17.33 to 89.02 ??g kg-1dw), respectively. Then in sea, water THg concentration ranged from (0.41 to 0.88 ??g L-1), Thunnus, SP. (43.49 to 62.37 ??g kg-1dw) and L. Campechanus (6.84 to 23.37??g kg-1dw), and Crssostrea Virginica Sp ranged from (15.50 to 32.34) respectively. The highest elevation of THg was in St.4 where panning processes were occurred as well as the amalgam open burn delivered. Although all THgs concentration in aquatic system were still meet the standard value, some stations are very closed to allowable limit such as THg in Sediment at Aq4 and Aq.5, where the standard limit is 174 ??g kg-1dw, according to the environmental Canadian standard. In addition, the accumulation of THg in fishes both for Thunnus Sp. and (L. Campechanus) Sp. fish were still low and safe according the permitted standard from EPA (500??g kg-1dw) for fish consumption. Those elevated values in aquatic system were consistent and continuously increase base on the distance from the point source and base on the size for the biota fishes, bivalve and oyster
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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".