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Volume 41 Issue 5
Dec.  2022
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Article Navigation >  CARSOLOGICA SINICA  > 2022  >  41(5): 675-683
CHENG Ping, CHENG Qinbo, CHEN Xi, LIU Jintao, ZHANG Zhicai, GAO Man. Exploration of superficial soil-rock structure for karst area based on frequency domain electromagnetic method[J]. CARSOLOGICA SINICA, 2022, 41(5): 675-683. doi: 10.11932/karst20220501
Citation: CHENG Ping, CHENG Qinbo, CHEN Xi, LIU Jintao, ZHANG Zhicai, GAO Man. Exploration of superficial soil-rock structure for karst area based on frequency domain electromagnetic method[J]. CARSOLOGICA SINICA, 2022, 41(5): 675-683. doi: 10.11932/karst20220501
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Exploration of superficial soil-rock structure for karst area based on frequency domain electromagnetic method

doi: 10.11932/karst20220501
  • 1.

    Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China

  • 2.

    Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Tianjin University, Tianjin 300072, China

  • 3.

    College of Hydrology and Water Resources, Hohai University, Nanjing,Jiangsu 210098, China

  • Received Date: 2021-12-09
    Abstract
  • Soil thickness as a key hydrological and ecological factor, is distributed extremely uneven in karst areas. The explorations of the soil thickness and soil-rock interfaces are still challenge. In this study, a 1-D electrical conductivity (EC) inversion model was developed for the frequency domain electromagnetic method (EMI) based on Maxwell's equation system. The visualization of EC distribution for soil profile in karst area could be realized by the model. The inversion model was validated according to the given ideal stratigraphic EC data and applied to two detection lines and the three exposed profiles at a karst depression. The detected apparent electrical conductivities and soil-rock interfaces from EMI are further compared with those from high-density electrical method. The results showed that the inversion from EMI can capture the variation of ECat ideal strata and interfaces of soil layer and underlying limestone and dolomite bedrock at field. The distribution of soil thickness could be estimated with the detected soil-rock interface. However, there is relatively low accuracy when the model is applied to detect trench (trough) at the small scale or the soil-rock interfaces with mudstone.

     

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