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GIS deterministic model-based 3D large-scale artificial slope stability analysis along a highway using a new slope unit division method

Author

Listed:
  • Ning Jia
  • Yasuhiro Mitani
  • Mowen Xie
  • Jianxing Tong
  • Zhaohui Yang

Abstract

The high frequency of landslide hazards has caused great human casualties and economic losses in recent years around the world. Among the current available approaches to assess landslide hazard, deterministic approach provides the best quantitative information on landslide hazard which can be used directly in the design of engineering works. However, the approach is difficult to be applied to estimate the slope stability in large scale due to two problems: (1) detailed datasets about the spatial variation of input parameters of the hydrological and slope stability models cannot be acquired easily; (2) an efficient method to divide large-scale area into small mapping units that can be used as study objects for deterministic approach is required. To solve these two problems, all the spatial data involving the physical properties of a slope are modelled in 2D planar or 3D perspective, utilizing the strong spatial data modelling and interpolation capabilities of geographic information system. In addition, a new slope unit division method is also proposed to divide an artificial slope into many small slope units as the study objects for deterministic model. The objective of this study was to propose a set of procedure to evaluate the artificial slope stability along a highway. A 3D limit equilibrium model is used to calculate stability of each slope unit in the form of safety factor. After the safety factors of all slope units are calculated, the stability of the whole area can be assessed. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Ning Jia & Yasuhiro Mitani & Mowen Xie & Jianxing Tong & Zhaohui Yang, 2015. "GIS deterministic model-based 3D large-scale artificial slope stability analysis along a highway using a new slope unit division method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 873-890, March.
    • Handle: RePEc:spr:nathaz:v:76:y:2015:i:2:p:873-890
    DOI: 10.1007/s11069-014-1524-6
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    Citations

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    Cited by:

    1. Chi Yang & Jinghan Wang & Shuyi Li & Ruihan Xiong & Xiaobo Li & Lin Gao & Xu Guo & Chuanming Ma & Hanxiang Xiong & Yang Qiu, 2024. "Landslide Susceptibility Assessment and Future Prediction with Land Use Change and Urbanization towards Sustainable Development: The Case of the Li River Valley in Yongding, China," Sustainability, MDPI, vol. 16(11), pages 1-26, May.
    2. Chuhong Shen & Kangning Xiong & Tian Shu, 2022. "Dynamic Evolution and Quantitative Attribution of Soil Erosion Based on Slope Units: A Case Study of a Karst Plateau-Gorge Area in SW China," Land, MDPI, vol. 11(8), pages 1-18, July.
    3. Kai Wang & Shaojie Zhang, 2021. "Rainfall-induced landslides assessment in the Fengjie County, Three-Gorge reservoir area, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 451-478, August.
    4. Fei Liu & Huizhong Lu & Lilei Wu & Rui Li & Xinjun Wang & Longxi Cao, 2024. "Automatic Extraction for Land Parcels Based on Multi-Scale Segmentation," Land, MDPI, vol. 13(2), pages 1-24, January.
    5. Zhuo Chen & Fei Ye & Wenxi Fu & Yutian Ke & Haoyuan Hong, 2020. "The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(3), pages 853-877, April.

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