Multi-Means Comprehensive Forecasting Technology for Water Inrush in Long Tunnels
In response to the challenges of detecting and forecasting adverse geological bodies and water inrush risks in long tunnels, this paper, based on the comprehensive analysis of seismic reflection waves and electroseismic effect coupling, has achieved a long-distance tunnel construction process, adverse geological detection, and early warning, and has realized precise forecasting of the scale and location of adverse water-containing bodies. Meanwhile, the transient electromagnetic theory and technology for detecting the position and scale of water-containing bodies have been proposed, achieving medium-distance water inrush risk detection. Finally, for water-containing bodies that are close, ground penetrating radar methods are used for detection and forecasting to achieve the purpose of close-range detection and forecasting. Ultimately, a comprehensive detection and forecasting theory and technology for adverse geological bodies and water inrush in long tunnels using electromagnetic, seismic wave, and electroseismic multi-means at long, medium, and short distances have been established. This technology has been applied to the detection and forecasting of adverse geology and water inrush in a tunnel in Fuzhou, and good application effects have been achieved through on-site excavation verification. By multi-means comprehensive forecasting technology and early warning systems, fine detection of adverse geology and water inrush during the tunnel construction process can be achieved, providing guidance and support for the safe construction of tunnels.
Authors
- Xinyuan Wei (ORCID: https://orcid.org/0000-0002-8633-9990)
- Wencong Zhang
- Jingwen Chen
- Fei Yan (ORCID: https://orcid.org/0000-0003-4584-5798)
- Qi Ma (ORCID: https://orcid.org/0000-0003-3195-3149)
- Guoqing Wang (ORCID: https://orcid.org/0000-0001-9326-3755)
- Jun Yang (ORCID: https://orcid.org/0000-0001-6701-2274)
- Haijuan Xiao (ORCID: https://orcid.org/0000-0002-8425-6120)
- Zhou Xiao
Institutions
- Institute of Rock and Soil Mechanics (CN)
- China Power Engineering Consulting Group (China) (CN)
- China National Petroleum Corporation (China) (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-03-18
- DOI
- https://doi.org/10.3390/app15063332
- Citations
- 1
- Primary Topic
- Geoscience and Mining Technology
- Type
- article
- Field-Weighted Citation Impact
- 1.30
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province