Bulletin of Surveying and Mapping ›› 2023, Vol. 0 ›› Issue (12): 51-56,75.doi: 10.13474/j.cnki.11-2246.2023.0358

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Evaluation of geological hazard vulnerability in Xining city based on InSAR and informativeness-hierarchical analysis coupled modeling

HU Xiangxiang1,2, MING Lulu3, WU Tao4, LIU Baokang1,2, PANG Dongdong1,2, YIN Jixin5, SONG Bao6, KE Fuyang7,8   

  1. 1. School of Resource and Environmental Engineering, Tianshui Normal University, Tianshui 741001, China;
    2. Gansu Zhenghao Satellite Remote Sensing Scvience and Technology Center, Tianshui 741001, China;
    3. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    4. Organization Department of CPC Tonggu County Committee, Yichun 336200, China;
    5. Xining Surveying and Mapping Institute, Xining 810000, China;
    6. School of Automation, Beijing Institute of Technology, Beijing 100081, China;
    7. School of Software, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    8. Wuxi Research Institute of Nanjing University of Information Engineering, Wuxi 214000, China
  • Received:2023-08-21 Published:2024-01-08

Abstract: To accurately and efficiently evaluate the landslide susceptibility area within the territory, it provides a reference for landslide disaster warning and prevention in Xining city. In this paper, SBAS-InSAR technology is used to obtain the surface deformation information of Xining city during the five years of 2018—2022. The deformation information obtained is divided into magnitudes as an evaluation factor of the susceptibility evaluation model, which is combined with seven evaluation factors, such as elevation, slope, and stratigraphic lithology, to quantitatively evaluate the susceptibility of landslides in the study area based on the informativeness-hierarchical analysis method. Finally, the evaluation results were validated using the existing geohazard point data sets. The results show that the evaluation results of geohazard susceptibility obtained in this paper are more consistent with the distribution of existing geohazard sites, and most of the areas where the recorded geohazard sites are gathered are located in the medium-high susceptibility zone of the location delineated in this paper. According to the ROC curve accuracy results, the coupled model AUC value is 0.91.It is feasible to utilize the method proposed in this paper to carry out disaster susceptibility evaluation, and the results of the study can provide a basis for the comprehensive prevention and control measures of landslides in Xining city.

Key words: information method, analytic hierarchy process, SBAS-InSAR, susceptibility evaluation

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