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Geospatial Challenges in the 21st Century pp 401–429Cite as

Multihazard Risk Assessment from Qualitative Methods to Bayesian Networks: Reviewing Recent Contributions and Exploring New Perspectives

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Part of the book series: Key Challenges in Geography ((KCHGE))

Abstract

Natural processes are interacting components of natural systems. Under certain circumstances, they can be transformed into threats for humanity, environment, and development. Examples such as the 2006 Pangandaran earthquake–tsunami and the 2011 Tohoku earthquake–tsunami–flood–nuclear catastrophe point out the necessity for an integrated multihazard risk assessment tool. This paper presents the critical steps and improvements in approaches to multihazard risk management. From the first qualitative, semiquantitative techniques with which risk is calculated through individual processes to more powerful techniques which try to capture and evaluate the interactions (trigger, cascade effect) among the natural hazards, such as Event Tree (ET) and Bayesian Networks (BNs). Especially Bayesian Networks and recently, their extensions as Dynamic Bayesian Networks (DBNs) and Hybrid Bayesian Networks (HBNs) offer a great opportunity for a more realistic and flexible multihazard risk assessment.

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Authors and Affiliations

  1. Department of Geography and Regional Planning, National Technical University of Athens, Athens, Greece

    John Tsiplakidis & Yorgos N. Photis

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  1. John Tsiplakidis
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  2. Yorgos N. Photis
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Correspondence to Yorgos N. Photis .

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  1. National Technical University of Athens, Pikermi, Greece

    Kostis Koutsopoulos

  2. University of Zaragoza, Zaragoza, Spain

    Rafael de Miguel González

  3. EUROGEO, Liverpool, UK

    Karl Donert

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Tsiplakidis, J., Photis, Y.N. (2019). Multihazard Risk Assessment from Qualitative Methods to Bayesian Networks: Reviewing Recent Contributions and Exploring New Perspectives. In: Koutsopoulos, K., de Miguel González, R., Donert, K. (eds) Geospatial Challenges in the 21st Century. Key Challenges in Geography. Springer, Cham. https://doi.org/10.1007/978-3-030-04750-4_21

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