Multi-criteria Decision Analysis Approach to Mine Closure Planning - A Case Study
Bibliographic record
Abstract
As mining and environmental regulations continue to get tighter on mine closure and reclamation, the choice of an optimal post mining land use becomes critical if mining companies are to continue enjoying the peaceful co-existence they have with their local communities. In this study, possible mine closure alternatives have been identified as suitable for the Salman south pit of Adamus Resources Limited in the Western Region of Ghana. These alternatives are: arable farm land; timber production; shrubs and native forestation; aquaculture; water reservoir; land fill; and recreational site (park). Effective consideration has been given to the identified technical, environmental, economic, and social criteria to assist in the determination of the optimal choice among the identified suitable closure alternatives. Using the Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) technique of multi-criteria decision analysis, it was observed from the results that arable farmland was the most preferred choice followed very closely by timber production. Others like aquaculture, recreational site (park), shrubs and native forestation, water reservoir, and landfill followed in a decreasing order. In order to satisfy all the various stakeholders in the mine closure process, it is therefore recommended that arable farmland and/or timber production be adopted as the optimal post mining land use for the study area.
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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".