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GIS-Based Probabilistic Mapping of Landslide Hazard Using a Three-Dimensional Deterministic Model

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Listed:
  • Mowen Xie
  • Tetsuro Esaki
  • Guoyun Zhou

Abstract

Based on a new Geographic Information Systems (GIS) grid-basedthree-dimensional (3-D) deterministic model and taking the slopeunit as the mapping unit, this study maps landslide hazard usingthe 3-D safety factor index and failure probability. Assuming theinitial slip to be the lower part of an ellipsoid, the 3-D critical slipsurface in the 3-D slope stability analysis is located by minimizingthe 3-D safety factor using the Monte Carlo random simulation.The failure probability of the landslide is calculated using anapproximate method in which the distributions of c, Φ andthe 3-D safety factor are assumed to be in normal distribution.The method has been applied to a case study on three-dimensionallyand probabilistically mapping landslide hazard. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Mowen Xie & Tetsuro Esaki & Guoyun Zhou, 2004. "GIS-Based Probabilistic Mapping of Landslide Hazard Using a Three-Dimensional Deterministic Model," 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. 33(2), pages 265-282, October.
    • Handle: RePEc:spr:nathaz:v:33:y:2004:i:2:p:265-282
    DOI: 10.1023/B:NHAZ.0000037036.01850.0d
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    References listed on IDEAS

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    1. A. Carrara & F. Guzzetti & M. Cardinali & P. Reichenbach, 1999. "Use of GIS Technology in the Prediction and Monitoring of Landslide Hazard," 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. 20(2), pages 117-135, November.
    2. C. Van Westen & A. Seijmonsbergen & F. Mantovani, 1999. "Comparing Landslide Hazard Maps," 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. 20(2), pages 137-158, November.
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    1. Melanie Kunz & Adrienne Grêt-Regamey & Lorenz Hurni, 2011. "Visualization of uncertainty in natural hazards assessments using an interactive cartographic information system," 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. 59(3), pages 1735-1751, December.
    2. Hyuck-Jin Park & Kang-Min Kim & In-Tak Hwang & Jung-Hyun Lee, 2022. "Regional Landslide Hazard Assessment Using Extreme Value Analysis and a Probabilistic Physically Based Approach," Sustainability, MDPI, vol. 14(5), pages 1-17, February.
    3. Vorpahl, Peter & Elsenbeer, Helmut & Märker, Michael & Schröder, Boris, 2012. "How can statistical models help to determine driving factors of landslides?," Ecological Modelling, Elsevier, vol. 239(C), pages 27-39.
    4. 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.
    5. Sanja Dugonjić Jovančević & Željko Arbanas, 2017. "Influence of the runout potential on landslide-susceptible areas along the flysch–karst contact in Istria, Croatia," 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(3), pages 1347-1362, February.
    6. Chong Xu & Xiwei Xu & Fuchu Dai & Zhide Wu & Honglin He & Feng Shi & Xiyan Wu & Suning Xu, 2013. "Application of an incomplete landslide inventory, logistic regression model and its validation for landslide susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of 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. 68(2), pages 883-900, September.
    7. Hao Wang & Guanghui Hu & Junfei Ma & Hong Wei & Sijin Li & Guoan Tang & Liyang Xiong, 2023. "Classifying Slope Unit by Combining Terrain Feature Lines Based on Digital Elevation Models," Land, MDPI, vol. 12(1), pages 1-20, January.
    8. Malcolm Anderson & Liz Holcombe & Rob Flory & Jean-Philippe Renaud, 2008. "Implementing low-cost landslide risk reduction: a pilot study in unplanned housing areas of the Caribbean," 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. 47(3), pages 297-315, December.
    9. 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.
    10. Sheng Ma & Jian Chen & Saier Wu & Yurou Li, 2023. "Landslide Susceptibility Prediction Using Machine Learning Methods: A Case Study of Landslides in the Yinghu Lake Basin in Shaanxi," Sustainability, MDPI, vol. 15(22), pages 1-26, November.

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