A FAHP-EWM Combined Weights-Based Two-Dimensional Cloud Model for Risk Assessment of Water Inrush Hazards in Tunnels Through Water-Rich Karst Strata

The accurate assessment of water inrush risks is crucial for tunnel safety in water-rich karst areas. This study introduces a risk assessment method based on a two-dimensional cloud model to address the associated uncertainties. A comprehensive risk indicator system is established, covering five principal factors: stratigraphic lithology, geological structure, topography, natural geography, and construction activities. The weights of these indicators are determined using an integrated Fuzzy Analytic Hierarchy Process and Entropy Weight Method. A two-dimensional cloud model is constructed, incorporating the dual dimensions of risk probability and loss severity. The risk level is then determined by analyzing the distribution of synthesized cloud droplets across predefined risk zones. Applied to the Andangnong Tunnel project, this methodology evaluates the water inrush risk as greater risk (Level II), a result consistent with the project’s dedicated safety assessment. Following the targeted treatment of key karst caves (Y5-2 and Y2-2), the risk level was successfully reduced to low risk (Level IV). This approach provides a scientific basis for risk management in similar geotechnical engineering contexts.

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Publication Details

Journal
Applied Sciences
Published
2026-10-29
DOI
https://doi.org/10.3390/app162110711
Primary Topic
Geoscience and Mining Technology
Type
article
Field-Weighted Citation Impact
0.00

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article

A FAHP-EWM Combined Weights-Based Two-Dimensional Cloud Model for Risk Assessment of Water Inrush Hazards in Tunnels Through Water-Rich Karst Strata

Peng Yang, Xuewei Liu, Yuan Zhou, Guangliang He et al.
1 links
Applied Sciences
Geoscience and Mining Technology
article

A FAHP-EWM Combined Weights-Based Two-Dimensional Cloud Model for Risk Assessment of Water Inrush Hazards in Tunnels Through Water-Rich Karst Strata

Peng Yang, Xuewei Liu, Yuan Zhou, Guangliang He, Bin Liu, Peng Li
article en

Abstract

The accurate assessment of water inrush risks is crucial for tunnel safety in water-rich karst areas. This study introduces a risk assessment method based on a two-dimensional cloud model to address the associated uncertainties. A comprehensive risk indicator system is established, covering five principal factors: stratigraphic lithology, geological structure, topography, natural geography, and construction activities. The weights of these indicators are determined using an integrated Fuzzy Analytic Hierarchy Process and Entropy Weight Method. A two-dimensional cloud model is constructed, incorporating the dual dimensions of risk probability and loss severity. The risk level is then determined by analyzing the distribution of synthesized cloud droplets across predefined risk zones. Applied to the Andangnong Tunnel project, this methodology evaluates the water inrush risk as greater risk (Level II), a result consistent with the project’s dedicated safety assessment. Following the targeted treatment of key karst caves (Y5-2 and Y2-2), the risk level was successfully reduced to low risk (Level IV). This approach provides a scientific basis for risk management in similar geotechnical engineering contexts.

Applied SciencesVol. 16(21)
Chinese Academy of Sciences (CN), Institute of Rock and Soil Mechanics (CN), Wuhan University of Science and Technology (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Geoscience and Mining Technology
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A FAHP-EWM Combined Weights-Based Two-Dimensional Cloud Model for Risk Assessment of Water Inrush Hazards in Tunnels Through Water-Rich Karst Strata — Peng Yang, Xuewei Liu, et al. · Applied Sciences (2026) | TGRS Research Map | TGRS