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Assessment of landslide susceptibility and risk factors in China

Author

Listed:
  • Di Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Mengmeng Hao

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Shuai Chen

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Ze Meng

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Dong Jiang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Fangyu Ding

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

Abstract

Landslides represent some of the most important geological disasters and not only pose a threat to human beings but also have a serious destructive impact on the environment and property. Delimiting the potential distribution of landslide risk zones is of great significance for reducing casualties and economic losses and promoting sustainable development. Research has been performed on landslide hazard risk assessment for decades; however, the risk factors for landslide disasters in China are still not well understood. Based on the assembled georeferenced landslide occurrence records and a set of spatial covariates, the risk factors for landslide disasters are estimated, and a landslide susceptibility map is generated using the maximum entropy model. The results suggest that distance to roads, rainfall, and land use are the main risk factors affecting landslide occurrence, with relative contribution rate values of 32.9%, 29.8%, and 14.3%, respectively. The estimate map reveals that the potential landslide risk for zones in eastern and southern parts of China is higher than that in zones in western and northern China and that the predicted highest risk provinces are Yunnan, Sichuan and Hunan. Our findings provide an important basis for decision-making regarding disaster prevention and mitigation.

Suggested Citation

  • Di Wang & Mengmeng Hao & Shuai Chen & Ze Meng & Dong Jiang & Fangyu Ding, 2021. "Assessment of landslide susceptibility and risk factors in 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(3), pages 3045-3059, September.
    • Handle: RePEc:spr:nathaz:v:108:y:2021:i:3:d:10.1007_s11069-021-04812-8
    DOI: 10.1007/s11069-021-04812-8
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    References listed on IDEAS

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    Cited by:

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    2. Yadviga Tynchenko & Vladislav Kukartsev & Vadim Tynchenko & Oksana Kukartseva & Tatyana Panfilova & Alexey Gladkov & Van Nguyen & Ivan Malashin, 2024. "Landslide Assessment Classification Using Deep Neural Networks Based on Climate and Geospatial Data," Sustainability, MDPI, vol. 16(16), pages 1-26, August.
    3. Li Zhuo & Yupu Huang & Jing Zheng & Jingjing Cao & Donghu Guo, 2023. "Landslide Susceptibility Mapping in Guangdong Province, China, Using Random Forest Model and Considering Sample Type and Balance," Sustainability, MDPI, vol. 15(11), pages 1-23, June.
    4. Li Li & Rundong Feng & Jianchao Xi, 2021. "Ecological Risk Assessment and Protection Zone Identification for Linear Cultural Heritage: A Case Study of the Ming Great Wall," IJERPH, MDPI, vol. 18(21), pages 1-18, November.

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