基于水化学时空演进的隧道控水构造及涌水风险预测方法
By constructing a water chemical characteristic monitoring network and using multi-source geophysical exploration data, the accurate identification of water-controlling structures ahead of the tunnel and the scientific prediction of water inrush risk have been achieved, solving the problem of identification difficulties in existing technologies and improving the safety of tunnel construction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA UNIV OF GEOSCIENCES (WUHAN)
- Filing Date
- 2026-03-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient to accurately identify water-controlling structures ahead of tunnel construction and predict water inrush risks, leading to biased disaster risk assessments. In particular, under complex hydrogeological conditions, it is difficult to distinguish between water-rich faults and waterless weak rock zones, and the dynamic state of groundwater cannot be determined.
By constructing a hydrochemical characteristic monitoring network, collecting groundwater samples for in-situ testing and indoor analysis, establishing a sensitive identification index system, and combining multi-source geophysical exploration data, constructing a hydrochemical spatiotemporal evolution sequence, determining water-controlling tectonic boundaries, and predicting water inrush risk.
It improves the accuracy of water-controlling structure identification and the scientific nature of water inrush risk prediction, and provides quantitative risk prediction based on lithology and level, providing reliable technical support for tunnel construction safety control.
Smart Images
Figure CN121806149B_ABST