Short-Lived Climate Forcers in Urban City of Semarang Based on Land Use Category and Associated Health Risks
Bibliographic record
Abstract
Control of short-lived climate forcers (SLCF) is very crucial because it has quicker impact and more visible benefits in the short-term than control of carbon dioxide.For this reason, this research is aimed at estimating the level of SLCF (black carbon/BC, methane, and ozone) in the atmosphere, their impact and associated health risk (of certain SLCF).We measured BC at PM2.5, ground level ozone in 24h, and CH4, N2O and CO2 in five different sites in different land use categories.We also distributed questionnaires to vulnerable populations in the study area.The concentration of BC was in the range of 2.42-5.52ug/m 3 .The proportion of BC in PM2.5 is between 4.9% and 12.74%.Ambient methane concentrations were higher in the morning than in the afternoon.Likewise, the oxidant concentration of O3, N2O, and CO2 showed that results of measurement were higher in the morning than in the afternoon.The average concentration ratio of short-term to longterm greenhouse gas (CH4: N2O: CO2) is 4.9:1:1304.In terms of health risk, Estimated Attribute Proportion (AP) resulting from BC is within 1.1% and 7.48%.Mitigation of short-term GHG pollutant emission sources would be in line with long-term GHG pollutant mitigation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 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 teacher head, 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".