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《Progress in Geophysics》 2012-06
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Application of migration and Hilbert transform on exploration of karst fractured ground water channel in the tunnel with GPR

ZHANG Jia-song,ZHU Zi-qiang,LU Guang-yin,MI Shi-wen (School of Geosciences and Info-Physics,Central South University,Changsha 410083,China)  
he karst fissure water channels will be easily destroyed in the construction of tunnel,and it severely affects the everyday life of the local residents with the localized sharp declining of groundwater and the drying up of surface water.Ground-penetrating radar(GPR) is a geophysical instrument which is commonly used in the tunnel engineering.It is difficult to identify the deep defects when the steels are densely covered on the road surface of the tunnel when we using the GPR to detect the abnormalities.In the engineering applications,when using GPR to detect the distribution of the underground water under the tunnel road,it is hard to identify the abnormalities because the amplitude of radar data which is in the deep department of the section becomes very small, and this due to the existence of the steel mesh which lies on the surface of the tunnel road.In this paper,with the simulation method of two-dimensional finite difference numerical,firstly researched the impacts of the densely covered steels to the identification of the deep karst fissure water channel.Then processed the simulated data,the strong surface reflex interference is suppressed with the migration and Hilbert transform methods and studied the typical abnormal characteristics of the karst fissure water channels.Finally,take a tunnel of Chen-Ning Expressway for example,the impacts of densely covered steel which under the road surface of the tunnel is suppressed with the methods of the migration and Hilbert transform proposed in this paper,the spatial distribution of karst fissure water channels are detected accurately,and this proved that the method which was proposed in this paper is feasible.
【Fund】: 湖南省自然科学基金项目(41174061);湖南省自然科学基金项目(11JJ3042)联合资助
【CateGory Index】: U452.11
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