Design of Temporary Storage of Municipal Solid Waste and Its Impact on Global Warming –A Case Study
Bibliographic record
Abstract
Municipal Solid Waste (MSW) Management continues to remain as one of the most challenging task in urban development. Despite the fact that the core environmental impact is linked to the emissions of landfill gases of MSW, the production of collection bins for Temporary Storage (TS) of MSW, also makes a substantial contribution to environmental impact. This paper presents a methodology to estimate the amount of emissions produced during the production of High Density Poly Ethylene (HDPE) collection bins. The MSW collection bins required is evaluated based on bin size, population, percapita solid waste generation and collection frequency. In this paper, the number and size of MSW collection bins, bin density and catchment area for various collection frequency for Coimbatore city is designed with the environmental impact indicator-Global Warming Potential (GWP) based on the predicted waste generation for a decade (2008-2017). This long term predictions could be useful to waste management organizers to select sound environmental management strategies.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".