Relationship Between Earthquake Losses and Social and Economic Situation

Chapter
Part of the Advances in Natural and Technological Hazards Research book series (NTHR, volume 30)

Abstract

An analysis of the average amount of losses from natural disasters both in the death toll and in economic loss leads to the conclusion about a fast nonlinear growth of losses with time. This tendency used to be ascribed to a population growth, the development of potentially hazardous industries, and a general deterioration of the environment. Extrapolation of this tendency suggests that all the economic gain will be consumed in the greater losses from natural disasters by the end of the twenty-first century (or even by the mid-twenty-first century). However, this pessimistic prediction is based on the use of means and variances, which is incorrect for the case of heavy-tailed distributions typical of death toll and economic loss from natural disasters. The application of statistically correct approaches affects the prediction essentially.

Keywords

Natural Disaster Loss Distribution Death Toll Earthquake Disaster Nonlinear Growth 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. [Ka].
    Kahn EM (2003) The death toll from natural disasters: the role of income, geography and institutions http://ssrn.com/abstract=391741 or doi: 10.2139/ssm.391741 pp, University of California, Los AngelesGoogle Scholar
  2. [KL].
    Kondratiev KY, Losev KS (2002) Illusions and reality of the sustainable development strategy. Vestnik RAN 72(7):592, in RussianGoogle Scholar
  3. [KN].
    Kronrod TL, Nekrasova AK (1996) Seismic risk in largest cities of the world: assessment verification. Comput Seismol 28:225, in RussianGoogle Scholar
  4. [O2].
    Osipov VI (2001) Natural disasters at the eve of the 21th century. Geoekologiya 4:293–309, in RussianGoogle Scholar
  5. [O3].
    Osipov VI (2002) Natural Hazard Control. Vestnik RAN 8:678–686, in RussianGoogle Scholar
  6. [P4].
    Pisarenko VF (1998) Nonlinear growth of cumulative flood losses with time. Hydrol Process 12:461–470CrossRefGoogle Scholar
  7. [RUC1].
    Ragozin AL, Uvarova AV, Chumachenko SA (2003) Supplement catalogue of major nonantropogenic disasters in the territory of Russia over 1000 years. In: Prirodnye Opasnosti Rossii, vol. 6, Otsenka i Upravlenie Prirodnymi Riskami. KRUK, Moscow, p 12, in RussianGoogle Scholar
  8. [RUC2].
    Ragozin AL, Uvarova AV, Chumachenko SA (2004) First results of the dynamics analysis of major disasters in the territory of Russia. In: Sergeevskie Chtenia, Issue 6, Inzhenernaya Geologia i Okhrana Geologicheskoi Sredy. GEOS, Moscow, p 185, in RussianGoogle Scholar
  9. [RP1].
    Rodkin MV, Pisarenko VF (2000) Economic damage and casualties from earthquakes: Statistical analysis, Moscow, GEOS. Comput Seismol 31:242–272, in RussianGoogle Scholar
  10. [RP3].
    Rodkin MV, Pisarenko VF (2004) Earthquake losses and casualties: a statistical analysis. In: Chowdhury DK (ed) Computational seismology and geodynamics, vol 6, American Geophysics Union. Washington, DC, pp 85–102Google Scholar
  11. [RP4].
    Rodkin MV, Pisarenko VF (2006) Extreme earthquake disasters – verification of the method of parameterization of the character of distribution of the rare major events, Ch 08. Adv Geosci 1: 75–89Google Scholar
  12. [RP].
    Rodkin MV, Pisarenko VF (2008) Damage from natural disasters: fast growth of losses or stable ratio? Russ J Earth Sci 10(1), ES1004, doi:10.2205/2007ES000267.Google Scholar
  13. [So].
    Sobolev GA (ed) (1997) Assesment of seismic hazard and seismic risk. FTzNTP RP “Bezopasnost”, Moscow, 52 ppGoogle Scholar
  14. [VMO].
    Vorobiev YL, Malinetsky GG, Osipov VI (2000) Disasters and Society. Kontakt-Kultura, Moscow, 332 ppGoogle Scholar

Copyright information

© Springer Netherlands 2010

Authors and Affiliations

  1. 1.International Institute of Earthquake Prediction Theory and Mathematical GeophysicsRussian Academy of SciencesMoscowRussia

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