A proposal of regionalization for the application of the CN earthquake prediction algorithm to the Italian territory

A regionalization of the Italian territory, strictly based on seismotectonic zoning and the main geodynamic features of the Italian area, is proposed for intermediate-term earthquake prediction with CN algorithm. Three regions, composed of adjacent zones with the same seismogenic behaviour or with t...

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Main Authors: G. F. Panza, G. Costa, A. Peresan
Format: Article
Language:English
Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 1999-06-01
Series:Annals of Geophysics
Subjects:
Online Access:http://www.annalsofgeophysics.eu/index.php/annals/article/view/3767
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spelling doaj-961484183b284e4381dd8953cc1153aa2020-11-24T22:24:41ZengIstituto Nazionale di Geofisica e Vulcanologia (INGV)Annals of Geophysics1593-52132037-416X1999-06-0142510.4401/ag-3767A proposal of regionalization for the application of the CN earthquake prediction algorithm to the Italian territoryG. F. PanzaG. CostaA. PeresanA regionalization of the Italian territory, strictly based on seismotectonic zoning and the main geodynamic features of the Italian area, is proposed for intermediate-term earthquake prediction with CN algorithm. Three regions, composed of adjacent zones with the same seismogenic behaviour or with transitional properties, are selected for the north, centre and south of Italy, compatibly with the kinematic model. This regionalization allows us an average reduction of the spatial uncertainty of about 35% for the northern and central regions, and of about 70% for the southern region in comparison with previous studies. A general reduction of the percentage of total TIPs, with respect to the results obtained neglecting the seismotectonic zoning, has been observed as well. Therefore, it seems that the seismotectonic model is a useful tool selection of the fault systems involved in the preparation of strong earthquakes. The successful attempt of catalogue upgrading, accomplished using the NEIC Preliminary Determinations of Epicentres, appears to substantiate the robustness of the algorithm against changes in the catalogue.http://www.annalsofgeophysics.eu/index.php/annals/article/view/3767Earthquake predictionCN algorithmItalyseismotectonic model
collection DOAJ
language English
format Article
sources DOAJ
author G. F. Panza
G. Costa
A. Peresan
spellingShingle G. F. Panza
G. Costa
A. Peresan
A proposal of regionalization for the application of the CN earthquake prediction algorithm to the Italian territory
Annals of Geophysics
Earthquake prediction
CN algorithm
Italy
seismotectonic model
author_facet G. F. Panza
G. Costa
A. Peresan
author_sort G. F. Panza
title A proposal of regionalization for the application of the CN earthquake prediction algorithm to the Italian territory
title_short A proposal of regionalization for the application of the CN earthquake prediction algorithm to the Italian territory
title_full A proposal of regionalization for the application of the CN earthquake prediction algorithm to the Italian territory
title_fullStr A proposal of regionalization for the application of the CN earthquake prediction algorithm to the Italian territory
title_full_unstemmed A proposal of regionalization for the application of the CN earthquake prediction algorithm to the Italian territory
title_sort proposal of regionalization for the application of the cn earthquake prediction algorithm to the italian territory
publisher Istituto Nazionale di Geofisica e Vulcanologia (INGV)
series Annals of Geophysics
issn 1593-5213
2037-416X
publishDate 1999-06-01
description A regionalization of the Italian territory, strictly based on seismotectonic zoning and the main geodynamic features of the Italian area, is proposed for intermediate-term earthquake prediction with CN algorithm. Three regions, composed of adjacent zones with the same seismogenic behaviour or with transitional properties, are selected for the north, centre and south of Italy, compatibly with the kinematic model. This regionalization allows us an average reduction of the spatial uncertainty of about 35% for the northern and central regions, and of about 70% for the southern region in comparison with previous studies. A general reduction of the percentage of total TIPs, with respect to the results obtained neglecting the seismotectonic zoning, has been observed as well. Therefore, it seems that the seismotectonic model is a useful tool selection of the fault systems involved in the preparation of strong earthquakes. The successful attempt of catalogue upgrading, accomplished using the NEIC Preliminary Determinations of Epicentres, appears to substantiate the robustness of the algorithm against changes in the catalogue.
topic Earthquake prediction
CN algorithm
Italy
seismotectonic model
url http://www.annalsofgeophysics.eu/index.php/annals/article/view/3767
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