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  • 05. General::05.01. Computational geophysics::05.01.04. Statistical analysis  (4)
  • Elsevier B.V.  (2)
  • American Physical Society  (1)
  • Elsevier Science Ltd  (1)
  • American Meteorological Society
  • Springer Nature
  • Wiley
  • 2005-2009  (4)
  • 1975-1979
  • 1
    Publication Date: 2021-06-16
    Description: The aim of this paper is to characterize the spatio-temporal distribution of Central-Europe seismicity. Specifically, by using a non-parametric statistical approach, the proportional hazard model, leading to an empirical estimation of the hazard function, we provide some constrains on the time behavior of earthquake generation mechanisms. The results indicate that the most conspic- uous characteristics of MW 4.0+ earthquakes is a temporal clustering lasting a couple of years. This suggests that the probability of occurrence increases immediately after a previous event. After a few years, the process becomes almost time independent. Furthermore, we investigate the cluster properties of the seismicity of Central-Europe, by comparing the obtained result with the one of synthetic catalogs generated by the epidemic type aftershock sequences (ETAS) model, which previously have been successfully applied for short term clustering. Our results indicate that the ETAS is not well suited to describe the seismicity as a whole, while it is able to capture the features of the short- term behaviour. Remarkably, similar results have been previously found for Italy using a higher magnitude threshold.
    Description: Published
    Description: 195-204
    Description: 3.1. Fisica dei terremoti
    Description: JCR Journal
    Description: reserved
    Keywords: Earthquake Distribution ; Earthquake Forecast ; Spatio-temporal statistical analysis ; Cluester ; Central Europe ; 05. General::05.01. Computational geophysics::05.01.04. Statistical analysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
    Publication Date: 2017-04-04
    Description: With the help of the di0usion entropy technique we show the non-Poisson statistics of the distances between consecutive Omori’s swarms of earthquakes. We give an analytical proof of the numerical results of an earlier paper
    Description: Published
    Description: 201-205
    Description: partially_open
    Keywords: Earthquakes ; Time-series analysis ; Anomalous scaling ; 05. General::05.01. Computational geophysics::05.01.04. Statistical analysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Format: 476 bytes
    Format: 210144 bytes
    Format: text/html
    Format: application/pdf
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  • 3
    Publication Date: 2017-04-04
    Description: The Istituto Nazionale di Geofisica under the P.N.R.A. (National Program of Research in Antarctica) has the responsibility of acquiring geophysical observations at the Italian Antarctic Base of Terra Nova Bay. Among others, geomagnetic and riometric data can provide some new insights into local and global activity of the magnetosphere-ionosphere coupling. This article investigates some properties of these kinds of data by means of spectral and fractal analyses. In addition, a multidimensional index is derived from this single-point dataset to represent not only the local but also the global state of the magnetospheric activity.
    Description: Published
    Description: 1073-1085
    Description: N/A or not JCR
    Description: reserved
    Keywords: spectral analysis ; fractal analysis ; polar geomagnetic and riometric data ; multidimensional index ; 05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous ; 05. General::05.01. Computational geophysics::05.01.04. Statistical analysis ; 05. General::05.07. Space and Planetary sciences::05.07.02. Space weather
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 4
    Publication Date: 2017-04-04
    Description: We perform an analysis on the dissipative Olami-Feder-Christensen model on a small world topology considering avalanche size differences. We show that when criticality appears, the probability density functions (PDFs) for the avalanche size differences at different times have fat tails with a q-Gaussian shape. This behavior does not depend on the time interval adopted and is found also when considering energy differences between real earthquakes. Such a result can be analytically understood if the sizes (released energies) of the avalanches (earthquakes) have no correlations. Our findings support the hypothesis that a self-organized criticality mechanism with long-range interactions is at the origin of seismic events and indicate that it is not possible to predict the magnitude of the next earthquake knowing those of the previous ones.
    Description: Published
    Description: 2.3. TTC - Laboratori di chimica e fisica delle rocce
    Description: JCR Journal
    Description: reserved
    Keywords: SOC, earthquakes interaction ; 05. General::05.01. Computational geophysics::05.01.04. Statistical analysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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