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Catastrophe Models for Informing Risk Management Policy: An Introduction

  • Aniello Amendola
  • Tatiana Ermolieva
  • Joanne Linnerooth-Bayer
  • Reinhard Mechler
Chapter
Part of the Advances in Natural and Technological Hazards Research book series (NTHR, volume 32)

Abstract

Catastrophe models that combine data on past occurrences with future simulations of the hazard, exposure and vulnerability, and that take account of the dynamic environment as well as correlated loss distributions, are becoming increasingly important for assessing the risks of extreme events. This volume demonstrates innovative ways for adapting catastrophe models to aid risk management policy processes via a number of wide ranging applications. These are grouped into three parts, according to whether they inform local or regional risk management policy (Part I); the management of country-wide catastrophe risk and its implication on development (Part II); and the participatory design of a national insurance program (Part III). After discussion of the rational for the proposed approaches, which integrate across multiple disciplines and take into account the diverse values and preferences of stakeholders, this chapter introduces Part I of the volume, including cases on the management of flash flood risk in Vienna, Austria, an earthquake insurance program for the Tuscany region in Italy, balancing stakeholder concerns in establishing flood risk management strategies in northern Vietnam, and the choice of appropriate discounting factors in the design of infrastructures under consideration of catastrophe risk.

Keywords

Catastrophe models Integrated risk management Participative policy process Catastrophe risk and development Catastrophe insurance program Robust decisions Case studies 

References

  1. Amendola A, Ermoliev Y, Ermolieva T, Gitits V, Koff G, Linnerooth-Bayer J (2000a) A systems approach to modeling catastrophic risks and insurability. Nat Hazard 21:381–393CrossRefGoogle Scholar
  2. Amendola A, Ermoliev Y, Ermolieva T (2000b) Earthquake risk management: a case study for an Italian region. In: Proceedings of the Euroconference on global change and catastrophe risk management: earthquake risks in Europe, IIASA, Laxenburg, Austria. http://www.iiasa.ac.at/Research/RMS/july2000/
  3. Cardenas V, Hochrainer S, Mechler R, Pflug G, Linnerooth-Bayer J (2007) Sovereign financial disaster risk management: the case of Mexico. Environ Hazard 7(1):40–53CrossRefGoogle Scholar
  4. EC (2010) Joint Research Center of the European Commission, Lisflood Model. http://floods.jrc.ec.europa.eu/lisflood-model. Last accessed May 2012
  5. Ermoliev Y, Wets R (1988) Numerical techniques of stochastic optimization. Computational mathematics. Springer, BerlinCrossRefGoogle Scholar
  6. FEMA (2012) HAZUS, FEMA’s methodology for estimating potential losses from disasters. http://www.fema.gov/plan/prevent/hazus/ Last accessed May 2012
  7. Femke V, Rodriguez J, Below R, Guha-Sapir D (2010) Annual disaster statistical review 2009. Centre for Research on the Epidemiology of Disasters (CRED), BrusselsGoogle Scholar
  8. Grossi P, Kunreuther H (2005) Catastrophe modeling: a new approach to managing risk. Springer, New YorkCrossRefGoogle Scholar
  9. Grossi P, Zoback ML (2009) Catastrophe modeling and California earthquake risk: a 20-year perspective. Special report, Risk Management Solutions (RMS), Inc.Google Scholar
  10. Hochrainer S, Mechler R (2009) Assessing financial and economic vulnerability to natural hazards: bridging the gap between scientific assessment and the implementation of disaster risk management with the CatSim model. In: Patt A, Schröter D, Klein R, de la Vega-Leinert A (eds) Assessing vulnerability to global environmental change. Earthscan, London, pp 173–194Google Scholar
  11. IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation: summary for policy makers. Special report of the IPCC. http://ipcc-wg2.gov/SREX/images/uploads/SREX-SPM_FINAL.pdf
  12. Linnerooth-Bayer J, Mechler R, Pflug G (2005) Refocusing disaster aid. Science 309:1044–1046CrossRefGoogle Scholar
  13. Mechler R, Hochrainer S, Aaheim A, Kundzewicz Z, Lugeri N, Moriondo M, Salen H, Bindi M, Banaszak I, Chorynski A, Genovese E, Kalirai H, Linnerooth-Bayer J, Lavalle C, McEvoy D, Matczak P, Radziejewski M, Rübbelke D, Schelhaas M-J, Szwed M, Wreford A (2010) A risk management approach for assessing adaptation to changing flood and drought risks in Europe. In: Hulme M, Neufeldt H (eds) Making climate change work for us: European perspectives on adaptation and mitigation strategies. Cambridge University Press, CambridgeGoogle Scholar
  14. Munich Re (2011) Topics geo. Natural catastrophes 2010: analyses, assessments, positions. Munich Reinsurance Company. http://www.munichre.com/publications/302-06735_en.pdf
  15. Petrini V (1995) Pericolosità Sismica e Prime Valutazioni di Rischio in Toscana. CNR/IRRS, MilanGoogle Scholar
  16. Ramsey F (1928) A mathematical theory of savings. Econ J 138:543–559CrossRefGoogle Scholar
  17. SHARE (2009) Seismic Hazard Harmonization in Europe. http://www.share-eu.org/ Last accessed Sept 2012
  18. Walker G (1997) Current developments in catastrophe modelling. In: Britton NR, Oliver J (eds) Financial risks management for natural catastrophes. Griffith University, Brisbane, pp 17–35Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Aniello Amendola
    • 1
  • Tatiana Ermolieva
    • 2
  • Joanne Linnerooth-Bayer
    • 1
  • Reinhard Mechler
    • 1
  1. 1.Risk, Policy and Vulnerability (RPV) ProgramInternational Institute for Applied Systems Analysis (IIASA)LaxenburgAustria
  2. 2.Ecosystems, Services and Management (ESM) ProgramInternational Institute for Applied Systems Analysis (IIASA)LaxenburgAustria

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