Volume 43 Issue 2
Mar.  2024
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WEI Xu, PENG Zhizhong, LIU Xingchen, XIAO Lizhi. Remote sensing investigation and development distribution of historical earthquake-induced landslides along Lushi Expressway[J]. Bulletin of Geological Science and Technology, 2024, 43(2): 386-396. doi: 10.19509/j.cnki.dzkq.tb20220653
Citation: WEI Xu, PENG Zhizhong, LIU Xingchen, XIAO Lizhi. Remote sensing investigation and development distribution of historical earthquake-induced landslides along Lushi Expressway[J]. Bulletin of Geological Science and Technology, 2024, 43(2): 386-396. doi: 10.19509/j.cnki.dzkq.tb20220653

Remote sensing investigation and development distribution of historical earthquake-induced landslides along Lushi Expressway

doi: 10.19509/j.cnki.dzkq.tb20220653
More Information
  • Author Bio:

    WEI Xu, E-mail: 1207288906@qq.com

  • Corresponding author: PENG Zhizhong, E-mail: 99975724@qq.com
  • Received Date: 22 Nov 2022
  • Accepted Date: 09 Jan 2023
  • Rev Recd Date: 22 Dec 2022
  • Objective

    The fault structure along the Lu (ding) Shi (main) highway has developed, and earthquakes are frequent, resulting in a large number and large scale of historical earthquake-induced landslides in the region. However, a large amount of vegetation grows on the surface of these seismic landslides, and it is difficult for traditional surveys to efficiently identify the distribution location and development law of earthquake landslides.

    Methods

    To reduce the safety hazards caused by earthquake landslides during highway construction, this paper first identifies earthquake landslides with high-precision airborne LiDAR data and verifies the accuracy of identification through field review.Second, high-precision airborne LiDAR images are used to analyse the deformation characteristics of seismic landslides.Finally, the spatial distribution characteristics of the seismic landslides are analysed by comprehensively considering the three major factors (6 factors) of topography, geology and earthquakes.

    Results

    The results show that airborne LiDAR technology can be used to effectively detect seismic landslides under vegetation layers. A total of 23 seismic landslides are identified along the Lushi Expressway Common Road, and the accuracy of field review and verification is 100%.By analysing the six factors controlling the spatial distribution of seismic landslides, it is concluded that the correlations with fault structure and earthquakes are the highest.

    Conclusion

    The research results provide a reference for landslide identification and investigations of expressways with dense vegetation and provide data support for landslide disaster prevention and risk assessment of the Lushi Expressway.

     

  • The authors declare that no competing interests exist.
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