喀斯特
钻孔
电阻率层析成像
地质学
接头(建筑物)
钻探
勘探地球物理学
断裂(地质)
采矿工程
地震层析成像
地球物理学
地震学
岩土工程
电阻率和电导率
土木工程
工程类
电气工程
古生物学
机械工程
地幔(地质学)
作者
Jun Zhang,Shengdong Liu,Qinghua Chen,Bo Wang,Chuan Ren
出处
期刊:Journal of Environmental and Engineering Geophysics
[Environmental and Engineering Geophysical Society]
日期:2019-12-01
卷期号:24 (4): 525-536
被引量:7
标识
DOI:10.2113/jeeg24.04.03.525
摘要
With the significant development of China's metro construction, the development of urban underground karst poses a serious threat to related tunnel construction and public safety, with frequent occurrences of mud and water inrushes during tunnel construction and urban ground subsidence events. Because of the complex, urban, and shallow geological conditions and construction environments, conventional geophysical methods cannot meet the requirements for high-precision detection of small-scale and inhomogeneous complex geological bodies. Based on numerical simulation, herein we comprehensively applied both cross-borehole electrical resistivity tomography (ERT) and cross-borehole seismic computed tomography (CT) to urban underground karst surveys of the Hangzhou-Fuyang intercity railway. The results showed that: 1) under limited urban construction conditions, the use of advanced geophysical monitoring equipment greatly improved construction efficiency; 2) utilizing drilling geological results to calibrate the abnormal geophysical field attribute parameters (including wave velocity and resistivity) improved the accuracy of karst exploration and reduce defective geophysical multi-explanation effects; 3) applying the joint comparative explanation of both velocity and resistivity profiles can distinguish and explain karst and fracture development zones; 4) 550 pairs of velocity and resistivity profiles were obtained which revealed 258 karst cave anomalies and 5 fracture development zones which integrated detection accuracy exceeded the 1 m level. Thus, the high-precision joint cross-borehole tomography technology was shown to be useful for guiding intercity railway construction.
科研通智能强力驱动
Strongly Powered by AbleSci AI