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Research Progress in landslide Monitoring Based on Time-lapse Resistivity Method

In: Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)

Author

Listed:
  • Tao Tao

    (Southern University of Science and Technology, Department of Earth and Space Sciences
    Southern University of Science and Technology), Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology)

  • Peng Han

    (Southern University of Science and Technology, Department of Earth and Space Sciences
    Southern University of Science and Technology), Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology)

  • Kaiyan Hu

    (China University of Geoscience, School of Geophysics and Geomatics)

  • Shuangling Mo

    (Southern University of Science and Technology, Department of Earth and Space Sciences
    Southern University of Science and Technology), Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology)

  • Shuangshuang Li

    (Southern University of Science and Technology, Department of Earth and Space Sciences
    Southern University of Science and Technology), Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology)

  • Wei Gong

    (Southern University of Science and Technology, Department of Earth and Space Sciences
    Southern University of Science and Technology), Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology)

  • Gexue Bai

    (Gansu Institute of Engineering Geology)

  • Ruidong Li

    (Gansu Institute of Engineering Geology)

  • Baofeng Wan

    (Gansu Institute of Engineering Geology)

  • Ning An

    (Gansu Institute of Engineering Geology)

Abstract

Landslides in China are numerous, widely distributed, frequent, and cause significant damage. Monitoring and early warning are critical measures for preventing landslide disasters. As a near-surface monitoring technique, the time-lapse resistivity method can capture the spatiotemporal evolution of the landslide's internal electrical structure, providing valuable data for landslide prevention and stability analysis. This paper aims to review and summarize the research on the time-lapse resistivity method in landslide monitoring and early warning, assess the current progress, explore potential future developments, and provide insights for scientific research and engineering practices in landslide disaster prevention and control.

Suggested Citation

  • Tao Tao & Peng Han & Kaiyan Hu & Shuangling Mo & Shuangshuang Li & Wei Gong & Gexue Bai & Ruidong Li & Baofeng Wan & Ning An, 2025. "Research Progress in landslide Monitoring Based on Time-lapse Resistivity Method," Advances in Economics, Business and Management Research, in: Sen Qiao & Hongbin Cao & Aiwen Liu & Xueliang Chen & Tiefei Li & Peng Han (ed.), Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024), pages 35-42, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-946-9_6
    DOI: 10.2991/978-94-6463-946-9_6
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