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Risk Prediction of Tunnel Water or Mud Inrush Based on Disaster Forewarning Grading

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Abstract

Water or mud inrush can not only hamper the normal construction of tunnel, but also cause severe casualties and property losses. Through the cause analysis and statistical theory, a total of 9 predictors based on 3 factors, the engineering geology, hydrogeology and construction, were put forward to control the happening of water or mud inrush. Based on the classification principles of forewarning, 3 alert levels, red, orange and yellow, were established. Using the AHP–TOPSIS evaluation theory, the risk prediction model of water or mud inrush was built based on the classification of disaster forewarning. The model was used in the diversion project of Fujian Long Jin–xi and achieved good effects.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China (Grant No. 41672260), the Program of Provincial Natural Science Foundation of China Hubei (Grant No. 2013CFA110), and the Teaching Laboratory Opening Fund of China University of Geosicences (Grant No. SKJ2014065).

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Authors and Affiliations

  1. Faculty of Engineering, China University of Geoscieneces, Wuhan, China

    Yaxiong Peng, Li Wu, Ying Su & Ruifeng Zhou

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  1. Yaxiong Peng
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  2. Li Wu
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  3. Ying Su
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  4. Ruifeng Zhou
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Correspondence to Li Wu.

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Peng, Y., Wu, L., Su, Y. et al. Risk Prediction of Tunnel Water or Mud Inrush Based on Disaster Forewarning Grading. Geotech Geol Eng 34, 1923–1932 (2016). https://doi.org/10.1007/s10706-016-0073-z

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  • DOI: https://doi.org/10.1007/s10706-016-0073-z

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