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Volume 44 Issue 2
Apr.  2025
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Article Navigation >  CARSOLOGICA SINICA  > 2025  >  44(2): 351-358
JIA Long, ZHANG Yi, MENG Yan, LI Lujuan, PAN Zongyuan, WU Yuanbin, YIN Renchao. Karst development evaluation based on cross-hole radar tomography[J]. CARSOLOGICA SINICA, 2025, 44(2): 351-358. doi: 10.11932/karst20250212
Citation: JIA Long, ZHANG Yi, MENG Yan, LI Lujuan, PAN Zongyuan, WU Yuanbin, YIN Renchao. Karst development evaluation based on cross-hole radar tomography[J]. CARSOLOGICA SINICA, 2025, 44(2): 351-358. doi: 10.11932/karst20250212
shu

Karst development evaluation based on cross-hole radar tomography

doi: 10.11932/karst20250212
  • 1.

    Institute of Karst Geology, CAGS/Key Laboratory of Karst Dynamics, MNR & GZAR/International Research Centre on Karst under the Auspices of UNESCO, Guilin, Guangxi 541004, China

  • 2.

    Innovation Center of Karst Collapse Prevention Technology, China Geological Survey, Guilin,Guangxi 541004, China

  • 3.

    China Railway Second Institute Engineering Group Co., LTD., Chengdu,Sichuan 610036, China

  • Received Date: 2024-03-30
  • Accepted Date: 2024-07-23
  • Rev Recd Date: 2024-05-04
    Abstract
  • Cross-hole geo-radar tomography, which belongs to the method of electromagnetic wave tomography between boreholes, is a way of borehole radar detection. Specifically, electromagnetic waves are transmitted form one borehole (transmitting borehole) and the transmitted signals are received by another borehole (receiving borehole). The kinematic (travel time and ray path) and dynamical (waveform, amplitude, phase, and frequency) characteristics of these signals are recorded. By tomography technology, the influence of the medium between the boreholes on the singlals is analyzed to obtain the distribution of physical properties within the strata between the two boreholes, with the goal of inverting the internal structure of the medium. As a result, the geo-radar tomography method can identify underground structures that exhibit significant differences in physical properties, such as dielectric constant and conductivity. These underground structures include solitary rocks, fissures, caves, and other adverse geological phenomena, as well as buried public facilities. This technology can penetrate deep intosubsurface for detection through drilling boreholes, effectively isolating the interference from above ground and compensating for the limitations of drilling density in practical engineering.In geological field surveys, accurately determining true karstification rate of the soluble rock layers poses significant challenges. Consequently, the karstification rate along the drilling line is typically employed as a representation measure, which has inherent limitations. To enhance the quantitative analysis of karst development within strata, this study employs cross-hole geo-radar tomography technology to process radar transmission data. This approach allows for the calculation of numerical changes in karstification rates, facilitating a more precise quantitative evaluation of the degree of karst development between boreholes.In karst areas, the materials filling karst fissures—such as including air, water, and loose soil—are the primary factors contributing to variations in the dielectric constant of rock masses. The velocities of radar waves are a function of the dielectric constant of the geological strata. By measuring the transmission velocities of electromagnetic waves in karst strata through cross-hole geo-radar, the porosity of limestone can be determined, allowing for the assessment of variations in the karstification rate between boreholes. The cross-hole geo-radar tomography method can provide insights into the distribution of transmission velocities of electromagnetic waves in karst strata, and thereby revealing the spatial variations in the karstification rates of soluble rocks between boreholes.When electromagnetic waves propagate in karst strata, their amplitudes exhibit exponential attenuation. In karst areas, the materials filling in karst fissures are also the main factors contributing to variations in electromagnetic wave attenuation. The cross-hole geo-radar tomography method can obtain the distribution of attenuation coefficients of electromagnetic waves in karst strata. For low-loss materials such as rock and soil, the attenuation coefficient is directly proportional to the conductivity of strata and inversely proportional to the square root of the relative dielectric constant of strata. Moreover, the conductivity and the relative dielectric constant of karst strata are closely related to the karstification rates of strata. Based on this, the spatial variations of karstification rates between boreholes can be quantified.Engineering examples demonstrate that, based on the physical parameters—wave velocity and attenuation coefficient—derived from the cross-hole geo-radar travel time tomography and attenuation tomography, as well as the distribution of karstification rates, it is feasible to map the distribution of karst development between boreholes. At a burial depth of 28 m to 32 m, it is inferred that karst caves are filled with flowing–soft plastic saturated clay and are likely to span the strata between the two boreholes. At a burial depth of 37 m to 41 m, it is presumed that karst caves are filled with plastic saturated clay. The spatial results of karstification rates obtained from both methods are consistent and mutually corroborative, providing a refined quantitative evaluation of the degree of karst development in strata at varying burial depths between boreholes. This provide more detailed data support for geological surveys and engineering construction. In addition, the accurately determining the karstification rates of strata based on wave velocity and attenuation of the cross-hole geo-radar requires precise values of all physical parameters of strata. These parameters can be obtained through laboratory tests on rock cores.Theoretical analysis and on-site testing demonstrate that the application of cross-hole geo-radar travel time tomography and attenuation tomography techniques can achieve a precise quantitative evaluation of the karst development degree in the strata between boreholes, thereby obtaining the inter-borehole "surface" karstification rates. This will provide more detailed data for karst geological surveys. In addition, considering the multisolution nature of geophysical survey results and the complexity of karst geology, it is recommended to combine these techniques with imaging detection of borehole radar reflection and other geophysical methods during actual detection.

     

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    • References(17)
  • [1]
    刘四新, 倪建福. 井间电磁法综述[J]. 地球物理学进展, 2020, 35(1):153-165.

    LIU Sixin, NI Jianfu. Review for cross-hole electromagnetic method[J]. Progress in Geophysics, 2020, 35(1): 153-165.
    [2]
    Holliger K, Musil M, Maurer H R. Ray-based Amplitude Tomography for CrossholeGeoradar Data: a Numerical Assessment[J]. Journal of Applied Geophysics, 2001, 47(3-4): 285-298. doi: 10.1016/S0926-9851(01)00072-6
    [3]
    张业, 谢昭晖, 师学明. 跨孔雷达层析成像法在孤石探测中的数值模拟研究[J]. 铁道建筑技术, 2015(10):55-58,73.

    ZHANG Ye, XIE Zhaohui, SHI Xueming. Numerical Simulation of Cross-hole Radar Tomography in Boulder Detection[J]. Railway Construction Technology, 2015(10): 55-58,73.
    [4]
    李尧. 隧道施工不良地质跨孔雷达超前探测方法与工程应用[D].济南:山东大学, 2017.

    LI Yao. the Crosshole GPR Ahead Prospecting Method andits Application for Adverse Geology inTunnel Construction [D]. Jinan: Shandong University, 2017.
    [5]
    张东昊. 基于深度学习和跨孔雷达的地下连续墙缺陷识别方法研究[D]. 大连:大连理工大学, 2022.

    ZHANG Donghao. Diaphragm Wall Defect Recognition Based on Deep Learning andCrosshole Ground Penetrating [D]. Dalian: Dalian University of Technology, 2022.
    [6]
    王飞. 跨孔雷达走时层析成像反演方法的研究[D]. 长春:吉林大学, 2014.

    WANG Fei. Research on Crosshole Radar Traveltime Tomography [D]. Changchun: Jilin University, 2014.
    [7]
    贾龙, 蒙彦, 潘宗源, 殷仁朝. 钻孔雷达反射成像在岩溶发育场地探测中的应用[J]. 中国岩溶, 2019, 38(1):124-129.

    JIA Long, MENG Yan, PAN Zongyuan, YIN Renchao. Study on application of borehole radar reflection imaging in thedetection of karst area[J]. CarsologicaSinica, 2019, 38(1): 124-129. (in Chinese)
    [8]
    贾龙, 蒙彦, 吴远斌, 潘宗源. 地面与孔中地质雷达方法联作在覆盖型岩溶塌陷隐患识别中的应用[J]. 桂林理工大学学报, 2018, 38(3):437-443.

    JIA Long, MENG Yan, WU Yuanbin, PAN Zongyuan. Application of ground and hole geological radar system in the identification of karst collapse hidden danger[J]. Journal of Guilin University of Technology, 2018, 38(3): 437-443.
    [9]
    张凯, 霍晓龙, 陈寿根, 涂鹏, 谭信荣. 地下岩溶发育程度评价体系的初步探讨[J]. 西南交通大学学报, 2018, 53(3):565-573.

    ZHANG Kai, HUO Xiaolong, CHEN Shougen, TU Peng, TAN Xinrong. Preliminary Study of Assessment System for Subsurface KarstDevelopment Degree[J]. Journal of Southwest Jiaotong University, 2018, 53(3): 565-573.
    [10]
    中华人民共和国原城乡建设环境保护部. 建筑地基基础设计规范[S]: 北京:中国建筑工业出版社, 1991.

    Former Ministry of Urban and Rural Construction and Environmental Protection of the People's Republic of China. Code for Design of building foundation[S].Beijing: China Building Industry Press, 1991.
    [11]
    张昊. Radon变换在GPR数据处理中的应用[D]. 上海:同济大学, 2005.

    ZHANG Hao. Application of Radon Transform in GPR data Processing [D]. Shanghai: Tongji University, 2005.
    [12]
    黄家会, 宋雷, 崔广心, 杨维好. 应用跨孔雷达层析成像技术研究深部岩层特性[J]. 中国矿业大学学报, 1999(6):61-64.

    HUANG Jiahui, SONG Lei, CUI Guangxin, YANG Weihao. Application of Crosshole Radar Tomography inStudying Characteristics of Strata in Depths[J]. Journal of China University of Mining & Technology, 1999(6): 61-64.
    [13]
    Steelman C M , Kennedy C S , Parker B L. Geophysical conceptualization of a fractured sedimentary bedrock riverbed using ground-penetrating radar and induced electrical conductivity[Z]. Journal of Hydrology, 2015: 433-446.
    [14]
    Annan A P. Near-surface Geophysics[M].2005: 357-438.
    [15]
    曾昭发, 刘四新, 冯晅. 探地雷达原理与应用[M]. 北京: 电子工业出版社, 2010: 102-103.

    ZENG Zhaofa, LIU Sixin, FENG Xuan. Principles and Applications of ground penetrating radar [M]. Beijing: Publishing House of Electronics Industry, 2010: 102-103.
    [16]
    姜文龙, 刘英. 岩石在单轴压力环境下电阻率变化的研究[J]. 地质学刊, 2009, 33(3):299-302. doi: 10.3969/j.issn.1674-3636.2009.03.299

    JIANG Wenlong, LIU Ying. Study on variation of electrical resistivity under uniaxial pressure environment for rocks[J]. Journal of Geology, 2009, 33(3): 299-302. doi: 10.3969/j.issn.1674-3636.2009.03.299
    [17]
    王超, 徐杨青, 高晓耕. 岩石电阻率特性及在煤矿采空区探查中的应用[J]. 煤炭工程, 2020, 52(11):64-69.

    WANG Chao, XU Yangqing, GAO Xiaogeng. Rock resistivity characteristics and its application in coal mine goaf exploration[J]. Coal Engineering, 2020, 52(11): 64-69.
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