Volume 43 Issue 6
Nov.  2024
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ZHANG Jinrui, WANG Yang, FENG Xiao, LI Yuanyao, JIN Bijing, ZHOU Chao, ZHANG Xin, DENG Yang. Analysis of spatial-temporal variations in landslide susceptibility assessment considering surface deformation and land use dynamics[J]. Bulletin of Geological Science and Technology, 2024, 43(6): 184-195. doi: 10.19509/j.cnki.dzkq.tb20240195
Citation: ZHANG Jinrui, WANG Yang, FENG Xiao, LI Yuanyao, JIN Bijing, ZHOU Chao, ZHANG Xin, DENG Yang. Analysis of spatial-temporal variations in landslide susceptibility assessment considering surface deformation and land use dynamics[J]. Bulletin of Geological Science and Technology, 2024, 43(6): 184-195. doi: 10.19509/j.cnki.dzkq.tb20240195

Analysis of spatial-temporal variations in landslide susceptibility assessment considering surface deformation and land use dynamics

doi: 10.19509/j.cnki.dzkq.tb20240195
  • Received Date: 26 Apr 2024
  • Accepted Date: 20 Sep 2024
  • Rev Recd Date: 28 Aug 2024
  • Objective

    To investigate the spatial-temporal variations in landslide susceptibility due to human engineering activities in resettled urban areas.

    Methods

    This study focuses on the new urban area of Yunyang County in the Three Gorges Reservoir region. Landslide susceptibility time-varying index factors were introduced to map spatial-temporal susceptibility differences and explore the spatial-temporal evolution of landslide disasters during urbanization in resettled urban areas. First, the stacking ensemble model was selected as the static susceptibility evaluation model. Then, the InSAR deformation rates and land use types over three distinct time spans (namely, January 16, 2017, to August 27, 2018 (T1), September 20, 2018, to July 30, 2021 (T2), and August 23, 2021, to November 17, 2023 (T3)) were selected as time-varying factors. Last, the time-varying factors were combined with the static evaluation results to create susceptibility difference distribution maps for the different periods.

    Results

    The study revealed that introducing time-varying factors in the analysis of spatial-temporal susceptibility differences effectively reflects the impact of urbanization on landslide disasters. When the land type in the study area changed from non-engineering land to engineering land, the landslide susceptibility level generally increased, with grid shares of 61.3% and 67.1% in the two change stages, respectively. The temporal trends of the InSAR displacement time series curves for selected typical landslides in urban areas showed high spatial-temporal correlations with land type changes, further validating the reliability of this method.

    Conclusion

    The proposed research approach provides the basis for disaster prevention, mitigation, and regional planning during the urbanization process in resettled urban areas of the Three Gorges Reservoir region.

     

  • The authors declare that no competing interests exist.
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