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Coseismic Landslide Susceptibility and Triggering Analyses

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Coseismic Landslides

Part of the book series: Springer Natural Hazards ((SPRINGERNAT))

Abstract

This chapter reviews the methods used to carry out coseismic landslide susceptibility and slope stability analyses, from the regional- to the site-scale and based on user needs, data requirements and constraints. Earthquake-induced landslide (EIL) triggering metrics (ground shaking) are discussed and linked to landslide severity and other environmental impacts likely to occur at different levels of ground shaking. Six case studies are used to explore the various methods of determining coseismic landslide susceptibility and slope stability analyses, the metrics they produce, the scale of applicability and data requirements. The key developments and challenges of each method are discussed and summarised. One such challenge is that the efficacy of each method is limited by the availability of the input data and/or the ability to derive it, irrespective of the project scale or need. Possibly the largest challenge for experts is the ability to transfer the results from such models into actionable information (e.g. hazard and risk analyses and engineering design) to support science-based decision-making.

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Notes

  1. 1.

    In mathematics, a hyperplane H is a linear subspace of a vector space V such that the basis of H has cardinality one less than the cardinality of the basis for V. In other words, if V is an n-dimensional vector space than H is an (n − 1)-dimensional subspace. Examples of hyperplanes in 2 dimensions are any straight line through the origin. In 3 dimensions, any plane containing the origin. Source: https://deepai.org/machine-learning-glossary-and-terms/hyperplane.

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Acknowledgements

The authors would like to acknowledge the JTC-1 for facilitating this paper. We would also like to thank the New Zealand governments Strategic Science Investment Fund and their Endeavour Fund (via the Earthquake-induced landscape dynamic programme) and the GeoNet project, which funded this research. We would like to thank D Rhoades, C Mueller, K Leith and P Glassey (GNS Science) for reviewing previous drafts of this work.

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Authors and Affiliations

  1. GNS Science, Avalon, New Zealand

    Chris Massey, Andrea Wolter, Rand Huso, Biljana Lukovic & Marc-Andre Brideau

  2. BGC, Squamish, Canada

    Marc-Andre Brideau

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  1. Chris Massey
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  2. Andrea Wolter
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  3. Rand Huso
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  4. Biljana Lukovic
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  5. Marc-Andre Brideau
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Correspondence to Chris Massey .

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Editors and Affiliations

  1. Department of Civil Engineering, Kanto Gakuin University, Yokohama, Kanagawa, Japan

    Ikuo Towhata

  2. Disaster Prevention Research Institute, Kyoto University, Uji, Kyoto, Japan

    Gonghui Wang

  3. The State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China

    Qiang Xu

  4. GNS Science, Lower Hutt, Wellington, New Zealand

    Chris Massey

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Massey, C., Wolter, A., Huso, R., Lukovic, B., Brideau, MA. (2022). Coseismic Landslide Susceptibility and Triggering Analyses. In: Towhata, I., Wang, G., Xu, Q., Massey, C. (eds) Coseismic Landslides. Springer Natural Hazards. Springer, Singapore. https://doi.org/10.1007/978-981-19-6597-5_18

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