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A multi-indicator evaluation method of shale gas tunnel hazard based on attribute recognition model and its application
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DOI：10.1016/j.hazadv.2026.101220.png)
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Abstract
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• A multi-indicator evaluation method based on attribute recognition and combined weighting is proposed for shale gas tunnel hazard assessment. • Six key parameters related to shale gas enrichment and genesis were selected, with data obtained from laboratory and field tests in northwestern Hunan, China. • Combined weights were calculated using AHP, CRITIC, and a genetic algorithm, revealing organic matter abundance as the most critical factor. • The method showed strong agreement with actual incidents in the Leijiashan Tunnel and identified 8 high-risk tunnels out of 12, outperforming traditional evaluation approaches.
Keywords:
Shale gas
Tunnels
Multi-index evaluation
Attribute recognition
Hazard evaluation
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