Risk Assessment of Water Inrush in Tunnels: A Case Study of a Tunnel in Guangdong Province, China

Weifeng Zhang, Xuemin Zhou, Wei Wei () and Xiaoyong Cheng
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Weifeng Zhang: College of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, China
Xuemin Zhou: College of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, China
Wei Wei: College of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, China
Xiaoyong Cheng: Guangdong Communication Planning & Design Institute Group Co., Ltd., Guangzhou 510507, China

Sustainability, 2022, vol. 14, issue 18, 1-20

Abstract: Fractured tectonic zones with developed groundwater are one of the major causes of water inrush in the construction of igneous tunnels; thus, it is highly important to assess the risk of water inrush. In this study, a total of six evaluation attributes, groundwater level, amount of inrush water, permeability coefficient, strength of the surrounding rock, rock integrity, and width of the jointed and fault fracture zone, were selected for the risk assessment of water inrush, and fuzzy theory was applied to the treatment of the uncertainty in the evaluation attributes. On this basis, the MULTIMOORA (multiple multi-objective optimization by ration analysis) and the model of nearness degree of incidence were combined to obtain the new model of MULTIMOORA–nearness degree of incidence for the risk assessment of water inrush. A deep-underground, extra-long tunnel under construction in southern China was used as an example for validation. The six tunnel sections assessed on site were ZK91 + 195~236, K91 + 169~186.5, K91 + 203~238, ZK94 + 238~198, K94 + 112~82, and K94 + 076~034. K94 + 112~82 was assessed at risk Level III, while the remainder were assessed at risk Level IV. The site conditions were also Level III for section K94 + 112~82 and Level IV for the remainder. The assessment results for the above six tunnel sections are consistent with the field conditions, which verified the validity of the model of the MULTIMOORA–nearness degree of incidence.

Keywords: tunnel engineering; risk assessment of water inrush; MULTIMOORA; nearness degree of incidence (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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