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 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 | 0.002 | 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".