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Published on: June 12, 2016
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Fuzzy multi-criteria decision-making framework for controlling methane explosions in coal mines
1Department of Petroleum and Natural Gas Engineering, Batman University, Batman, Turkey. nilufer.kursunoglu@batman.edu.tr.
Environmental Science and Pollution Research International
|January 6, 2024
Summary
Underground coal mine safety is enhanced by using fuzzy analytic hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) to select the best methane explosion control methods. Improving safety technology and financial investments are key to reducing accidents.
Area of Science:
- Mining Engineering
- Risk Management
- Decision Analysis
Background:
- Underground coal mines face inherent risks due to challenging conditions, leading to potential financial losses and severe worker safety issues.
- Methane explosions are a frequent and significant threat in coal mining operations, necessitating effective accident control strategies.
- Existing safety measures require robust methods for selecting the most effective explosion control techniques.
Purpose of the Study:
- To develop and apply a hybrid decision-making framework for selecting optimal accident control methods for underground coal mine methane explosions.
- To identify and prioritize key risk factors associated with methane explosions in coal mines.
- To rank various explosion control strategies based on their effectiveness and feasibility.
Main Methods:
- A hybrid methodology combining fuzzy analytic hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was employed.
- Data gathering through surveys identified 34 sub-risk factors for methane explosions.
- Fuzzy AHP was used to calculate the weights of identified risks, with 'improper ventilation system' ranked highest.
- Fuzzy TOPSIS then ranked the explosion control alternatives using the computed risk weights.
- Sensitivity analysis was performed to validate the robustness of the findings.
Main Results:
- The study identified 'improper ventilation system' as the most critical risk factor contributing to methane explosions.
- The ranking of explosion control methods indicated that 'improving safety technology' and 'financial investments' are the most effective strategies.
- A sensitivity analysis confirmed the reliability of the proposed decision-making framework.
Conclusions:
- The integrated fuzzy AHP and fuzzy TOPSIS approach provides a valuable and dynamic tool for assessing and managing mine methane explosion risks.
- Prioritizing safety technology enhancements and allocating sufficient financial resources are crucial for mitigating methane explosion incidents in underground coal mines.
- The methodology offers a systematic way to improve safety and reduce losses in hazardous mining environments.

