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2020
DOI: 10.1134/s1069351320010073
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Fractal Seismicity and Seismic Risk

Abstract: Recently, attempts have been made to take into account the fractal properties of seismicity when mapping the long-term rate of earthquakes. The paper touches upon the theoretical aspects of fractality and provides a critical analysis of its applications to the problems of seismic risk

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Cited by 8 publications
(11 citation statements)
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“…Italy is the country with the longest parametric earthquake catalogue based upon both historical and instrumental data. As it is well known the loglinear Gutenberg-Richter relation (GR) represents a law only at global scale (Båth, 1973;Kosobokov and Mazhkenov, 1994;Molchan et al, 1997).…”
Section: -Tuning Of G Em In Italymentioning
confidence: 99%
“…Italy is the country with the longest parametric earthquake catalogue based upon both historical and instrumental data. As it is well known the loglinear Gutenberg-Richter relation (GR) represents a law only at global scale (Båth, 1973;Kosobokov and Mazhkenov, 1994;Molchan et al, 1997).…”
Section: -Tuning Of G Em In Italymentioning
confidence: 99%
“…The source depth is taken into consideration as a function of magnitude, in agreement with literature (e.g. Caputo et al, 1973;Molchan et al, 1997;Doglioni et al, 2015). A complete description of the NDSHA methodology can be found in Panza et al (2001) and its updates and validations in Panza et al (2012), Fasan et al (2016), Magrin et al (2016), Fasan (2017) and Hassan et al (2017).…”
Section: Proceedings International Conference On Disastermentioning
confidence: 72%
“…In addition, NDSHA permits, if really necessary, to account for earthquake occurrence rate (Peresan et al, 2013 and references therein;Peresan et al, 2014;Magrin et al, 2017). Peresan et al (2013) have performed the characterization of the frequency-magnitude relation for earthquake activity in Italy according to the multi-scale seismicity model (Molchan et al, 1997;Kronrod, 2011), so that a robust estimated occurrence is associated to each of the modeled sources. The occurrence assigned to the source is thus associated to the pertinent synthetic seismograms, coherently with the physical nature of the problem.…”
Section: Proceedings International Conference On Disastermentioning
confidence: 99%
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