The intensity attenuation of Colfiorito and other strong earthquakes: the viewpoint of forecasters and data gatherers (Articolo in rivista)

Type
Label
  • The intensity attenuation of Colfiorito and other strong earthquakes: the viewpoint of forecasters and data gatherers (Articolo in rivista) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Alternative label
  • Rotondi R.; Tertulliani A.; Brambilla C.; Zonno G. (2008)
    The intensity attenuation of Colfiorito and other strong earthquakes: the viewpoint of forecasters and data gatherers
    in Annals of geophysics (Testo stamp.); Editrice Compositori, Bologna (Italia)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Rotondi R.; Tertulliani A.; Brambilla C.; Zonno G. (literal)
Pagina inizio
  • 499 (literal)
Pagina fine
  • 507 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 51 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 9 (literal)
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  • 2-3 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • IMATI-CNR, Milano; INGV-Roma; IMATI-CNR, Milano; INGV-Milano (literal)
Titolo
  • The intensity attenuation of Colfiorito and other strong earthquakes: the viewpoint of forecasters and data gatherers (literal)
Abstract
  • This article has been originated by thoughts on previous analyses related to the probabilistic treatment of macroseismic attenuation, from which it emerged that in Italian territory the intensity decay varies greatly from one region to another, depending on many factors, some of them not easily measurable. By applying a clustering algorithm we classified some macroseismic fields drawn from the Italian felt report database in three classes. Earthquakes in the same class constituted the input of a two-step procedure for the Bayesian estimation of the probability distribution of at any distance from the epicenter, conditioned on epicentral macroseismic intensity, where the intensity decay is considered an integer, random variable, following a binomial distribution. The estimated distributions were validated by forecasting the macroseismic field of the Colfiorito earthquake. This article deals with the issues left open by those statistical analyses by following two ways: on one hand we test the procedure by forecasting the macroseismic field of other strong earthquakes recorded in Italy during the last century and, on the other hand, we ask the reasons for peculiarities in the results to experts in other fields. The article is hence an introductory work, an example of the possibility and of the need of exchange of knowledge. (literal)
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