A comprehensive analysis method for adverse geology in tunnels based on geological information and multi-source geophysical data
Peng Wang*, Shi-shu Zhang*, Wei-dong Chen, Yi-guo Xue, Zi-ming Qu, Hua-bo Xiao, Mao-xin Su, and Kai Zhang
1. Power China Cheng du Engineering Corporation Limited, Chengdu 610072, China
2. Institute of Geotechnical and Underground Engineering, Shandong University, Jinan 250061, China
3. School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083,
Abstract Advanced geological prediction is a crucial means to ensure safety and efficiency in tunnel construction. However, different advanced geological forecasting methods have their own limitations, resulting in poor detection accuracy. Using multiple methods to carry out a comprehensive evaluation can effectively improve the accuracy of advanced geological prediction results. In this study, geological information is combined with the detection results of geophysical methods, including transient electromagnetic, induced polarization, and tunnel seismic prediction, to establish a comprehensive analysis method of adverse geology. First, the possible main adverse geological problems are determined according to the geological information. Subsequently, various physical parameters of the rock mass in front of the tunnel face can then be derived on the basis of multisource geophysical data. Finally, based on the analysis results of geological information, the multisource data fusion algorithm is used to determine the type, location, and scale of adverse geology. The advanced geological prediction results that can provide effective guidance for tunnel construction can then be obtained.
About author: Wang Peng, Male, PhD candidate, majoring in Geotechnical Engineering at Shandong University, focuses on advanced detection of geological disaster sources and multi-source data fusion in his research.
Cite this article:
. A comprehensive analysis method for adverse geology in tunnels based on geological information and multi-source geophysical data[J]. APPLIED GEOPHYSICS, 2025, 22(1): 43-52.
2025, Vol. 22 
