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Regional landslide hazard assessment through integrating susceptibility index and rainfall process

Author

Listed:
  • Zhiheng Wang

    (Tianjin Chengjian University
    Tianjin Chengjian University)

  • Dongchuan Wang

    (Tianjin Chengjian University)

  • Qiaozhen Guo

    (Tianjin Chengjian University)

  • Daikun Wang

    (The Chinese University of Hong Kong)

Abstract

Due to the difference of the spatial and temporal distribution of rainfall and the complex diversity of the disaster-prone environment (topography, geological, fault, and lithology), it is difficult to assess the hazard of landslides at the regional scale quantitatively only considering rainfall condition. Based on detailed landslide inventory and rainfall data in the hilly area in Sichuan province, this study analyzed the effects of both rainfall process and environmental factors on the occurrence of landslides. Through analyzing environmental factors, a landslide susceptibility index (LSI) was calculated using multiple layer perceptron (MLP) model to reflect the regional landslide susceptibility. Further, the characteristics of rainfall process and landslides were examined quantitatively with statistical analysis. Finally, a probability model integrating LSI and rainfall process was constructed using logistical regression analysis to assess the landslide hazard. Validation showed satisfactory results, and the inclusion of LSI effectively improved the accuracy of the landslide hazard assessment: Compared with only considering the rainfall process factors, the accuracy of the landslide prediction model both considering the rainfall process and landslide susceptibility is improved by 3%. These results indicate that an integration of susceptibility index and rainfall process is essential in improving the timeliness and accuracy of regional landslide early warning.

Suggested Citation

  • Zhiheng Wang & Dongchuan Wang & Qiaozhen Guo & Daikun Wang, 2020. "Regional landslide hazard assessment through integrating susceptibility index and rainfall process," 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. 104(3), pages 2153-2173, December.
    • Handle: RePEc:spr:nathaz:v:104:y:2020:i:3:d:10.1007_s11069-020-04265-5
    DOI: 10.1007/s11069-020-04265-5
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    References listed on IDEAS

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    1. Ekrem Canli & Bernd Loigge & Thomas Glade, 2018. "Spatially distributed rainfall information and its potential for regional landslide early warning systems," 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. 91(1), pages 103-127, April.
    2. Casey Dowling & Paul Santi, 2014. "Debris flows and their toll on human life: a global analysis of debris-flow fatalities from 1950 to 2011," 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. 71(1), pages 203-227, March.
    3. José Antonio Palenzuela & Jorge David Jiménez-Perálvarez & José Chacón & Clemente Irigaray, 2016. "Assessing critical rainfall thresholds for landslide triggering by generating additional information from a reduced database: an approach with examples from the Betic Cordillera (Spain)," 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. 84(1), pages 185-212, October.
    4. Francesco Marra, 2019. "Rainfall thresholds for landslide occurrence: systematic underestimation using coarse temporal resolution data," 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. 95(3), pages 883-890, February.
    5. Min Lee & Kim Ng & Yuk Huang & Wei Li, 2014. "Rainfall-induced landslides in Hulu Kelang area, Malaysia," 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. 70(1), pages 353-375, January.
    6. C. Abdallah & G. Faour, 2017. "Landslide hazard mapping of Ibrahim River Basin, Lebanon," 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. 85(1), pages 237-266, January.
    7. Zhaohua Chen & Jinfei Wang, 2007. "Landslide hazard mapping using logistic regression model in Mackenzie Valley, Canada," 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. 42(1), pages 75-89, July.
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    Cited by:

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    2. Qing Lan & Jianbo Tang & Xiaoming Mei & Xuexi Yang & Qinghao Liu & Qian Xu, 2023. "Hazard Assessment of Rainfall–Induced Landslide Considering the Synergistic Effect of Natural Factors and Human Activities," Sustainability, MDPI, vol. 15(9), pages 1-19, May.

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