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Research on Artificial Cavity Recognition Method Based on Ground-Airborne Frequency Electromagnetic Methods

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The Proceedings of the 17th Annual Conference of China Electrotechnical Society (ACCES 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1013))

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Abstract

With the development of society and science and technology, underground artificial cavity has been widely used in civil and military fields. However, a large number of underground artificial cavities have problems of cavity collapse and pipeline leakage. Therefore, how to efficiently and accurately realize the underground artificial cavity detection has a wide range of application value for the development of urban construction and national defense security. Ground-airborne electromagnetic methods are gradually becoming an important method in electromagnetic exploration field, which combine the advantages of ground electromagnetic method and airborne electromagnetic method. In this paper, ground-airborne electromagnetic methods are adopted. A three-dimensional earth model containing underground artificial cavities is established and simulated. The apparent resistivity of the three-dimensional earth model is calculated to obtain the location of underground artificial cavities. The results are compared with the positions of underground artificial cavities in the actual model. The results show that ground-airborne electromagnetic methods are effective in detecting artificial cavities.

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Correspondence to Gang Li .

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He, Y., Liang, J., Xia, J., Ji, Y., Zhang, Q., Li, G. (2023). Research on Artificial Cavity Recognition Method Based on Ground-Airborne Frequency Electromagnetic Methods. In: Li, J., Xie, K., Hu, J., Yang, Q. (eds) The Proceedings of the 17th Annual Conference of China Electrotechnical Society. ACCES 2022. Lecture Notes in Electrical Engineering, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-99-0451-8_18

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  • DOI: https://doi.org/10.1007/978-981-99-0451-8_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-0450-1

  • Online ISBN: 978-981-99-0451-8

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