Natural Hazards

, Volume 10, Issue 1–2, pp 47–58 | Cite as

A different intensity recording for reducing the uncertainty in its assessment: An application to the completeness analysis of earthquake catalogues

  • R. Rotondi
  • F. Meroni
  • G. Zonno
Article

Abstract

The purpose of this paper is to emphasize the consequences of the ordinal and qualitative nature of seismic intensity regarding its recording. The classical way of recording by an integer value implies that on many occasions it can be difficult to associate only one intensity degree to an event. Therefore, we propose to record the intensity in a new way so that the expert is no longer restricted to indicating only one value, but can express his belief that the considered event belongs to any one of the intensity classes in the scale. Following this approach, as an example, we study the completeness of the Sannio-Matese catalogue and show how the degree of completeness changes according to the degree of uncertainty in intensity assessment.

Key words

Seismic intensity assessment diffuse information mixture of multinomial distributions completeness degree of a catalogue simulation 

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References

  1. Barbano, M. S. and Salemi, G.: 1990, Expert system for the macroseismic intensity degree assessment,Proc. XXII General Assembly - European Seismological Commission, Barcelona, 17–22 September 1990, pp. 3–7.Google Scholar
  2. Barbano, M. S. and Salemi, G.: 1992, The NEXPERT shell for a macroseismic decision support system,Proc. ESC Workshop on Application of Artificial Intelligence Techniques in Seismology and Engineering Seismology, Walferdange, Luxembourg, 23–25 March 1992, pp. 109–115.Google Scholar
  3. Grünthal, G. (ed.): 1993,European Macroseismic Scale 1992 (up-dated MSK-scale), ESC Subcommission on Engineering Seismology, Working Group Macroseismic Scales, Joseph Beffort, Luxembourg.Google Scholar
  4. Read, T. R. C. and Cressie, N. A. C.: 1988,Goodness of Fit Statistics for Discrete Multivariate Data, Springer Series in Statistics, Springer-Verlag, New York.Google Scholar
  5. Rotondi, R., Egozcue, J. J., and Zonno, G.: 1990, Analysis of a compound Poisson process applied to the study of seismic events, Technical Report IAMI-90.4.Google Scholar

Copyright information

© Kluwer Academic Publishers 1994

Authors and Affiliations

  • R. Rotondi
    • 1
  • F. Meroni
    • 2
  • G. Zonno
    • 2
  1. 1.CNR, IAMIMilanItaly
  2. 2.CNR, IRRSMilanItaly

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