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Seismic-event-based methodology to obtain earthquake-induced translational landslide regional hazard maps

Author

Listed:
  • Mauro Niño
  • Miguel Jaimes
  • Eduardo Reinoso

Abstract

A seismic-event-based methodology to generate earthquake-induced translational landslide maps using Newmark method is proposed. The steps are: (1) to construct a GIS-based geotechnical database; (2) to identify those areas that are susceptible to the occurrence of translational landslides based on available geological information; (3) to compute a static safety factor; (4) to compute the critical acceleration that defines the threshold acceleration required to cause a displacement; (5) to characterize the seismic hazard as a set of stochastic events, collectively exhaustive and mutually exclusive, that fully describes the hazard spatial distribution and annual frequency of occurrence (in accordance with the earthquake location, depth and magnitude) with the appropriate ground-motion prediction equations; (6) to compute the Newmark displacement; and finally, (7) to carry out a probabilistic translational landslide hazard analysis to estimate an exceedance rate of a given displacement. This methodology is applied to Mexico, and maps for return periods of 150 and 500 years are presented. Results shown in maps are estimations of where translational landslides may occur and should be useful to carry out local studies to elaborate recommendations of site specific hazard reduction plans as well as to calculate insurance rates. In addition, these results are useful to identify civil protection actions, risk management at regional and local level, and land use planning, as well as for promoting more detailed vulnerability and risk studies at different scales. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Mauro Niño & Miguel Jaimes & Eduardo Reinoso, 2014. "Seismic-event-based methodology to obtain earthquake-induced translational landslide regional 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. 73(3), pages 1697-1713, September.
  • Handle: RePEc:spr:nathaz:v:73:y:2014:i:3:p:1697-1713
    DOI: 10.1007/s11069-014-1163-y
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    Citations

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    Cited by:

    1. M. C. Marulanda & J. C. Llera & G. A. Bernal & O. D. Cardona, 2021. "Epistemic uncertainty in probabilistic estimates of seismic risk resulting from multiple hazard models," 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 3203-3227, September.
    2. Lina Han & Qing Ma & Feng Zhang & Yichen Zhang & Jiquan Zhang & Yongbin Bao & Jing Zhao, 2019. "Risk Assessment of An Earthquake-Collapse-Landslide Disaster Chain by Bayesian Network and Newmark Models," IJERPH, MDPI, vol. 16(18), pages 1-17, September.
    3. Mauro Niño & Miguel Jaimes & Eduardo Reinoso, 2015. "A risk index due to natural hazards based on the expected annual loss," 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. 79(1), pages 215-236, October.
    4. Miguel Jaimes & Mauro Niño & Benjamín Huerta, 2015. "Hurricane event-based method to create regional hazard maps for heavy rainfall-induced translational landslides," 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 1143-1161, March.

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