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Multimodal method for landslide risk analysis.

William Pollock1, Alex Grant1, Joseph Wartman1

  • 1Dept. of Civil and Environmental Engineering, University of Washington, 201 More Hall, Seattle, WA 98195, United States.

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|May 4, 2019
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Summary
This summary is machine-generated.

This study presents a new method for quantitative landslide risk analysis, considering multiple failure modes and triggers like earthquakes and rainfall. The approach enhances land use planning by providing a more comprehensive understanding of landslide hazards.

Keywords:
CoseismicHazardMass-wastingModes of failureMultimodal Method for Landslide Risk AnalysisPrecipitation

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Area of Science:

  • Geosciences
  • Earthquake Engineering
  • Natural Hazard Assessment

Background:

  • Landslide risk analysis is crucial for land use policies.
  • Traditional regional studies often use simplified, single-slope failure models, ignoring diverse failure modes and their consequences.
  • Existing models lack multimodal and multi-trigger capabilities for comprehensive risk assessment.

Purpose of the Study:

  • To expand an existing multimodal coseismic landslide hazard model.
  • To develop a method for multimodal, multi-trigger quantitative landslide risk analysis.
  • To apply this method to Lebanon for improved landslide risk assessment.

Main Methods:

  • Utilized physics-based, mode-specific models for coseismic and precipitation-induced landslides.
  • Developed a new model for regional-scale slope stability analysis against rotational failures.
  • Employed open-source mapping of built-up areas to identify elements at risk.

Main Results:

  • The study successfully created a multimodal, multi-trigger quantitative landslide risk analysis method.
  • The new rotational failure model enables efficient, regional-scale assessments.
  • Integration with open-source data identified key areas with elements at risk.

Conclusions:

  • The developed method offers a more realistic and comprehensive approach to landslide risk analysis.
  • This enhances the ability to create effective land use policies by accounting for diverse landslide behaviors.
  • The study provides a valuable framework for regional landslide risk assessment globally.