Scale-invariance Properties in Seismicity of Southern Apennine Chain (Italy)

Lapenna, V.; Macchiato, M.; Piscitelli, S.; Telesca, Luciano

doi:10.1007/978-3-0348-8430-3_7

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…According to these ideas, in the deformed region, as the time progresses there is an increase in the number of events Volume 58 usually with moderate magnitudes, which leads to a critical point, which is the completion of this preparation process (Sornette and Sornette, 1990;Jaume, S.C., Sykes, L.R., 1999;Rundle et al, 2000). Several studies have been focused on the fractal structure and properties of the faults and the fracture process have been correlated with hierarchical scaling laws (Lapenna et al, 2000;Di Giovambattista and Tyupkin, 2001;Scholz and Aviles 2013;Vallianatos and Chatzopoulos, 2018). An innovative approach to study the collective properties of earthquakes based on Tsallis entropy (Tsallis, 2009;Vallianatos et al, 2016) who used a generalized concept of the Boltzmann-Gibbs statistical mechanics.…”

Section: Fig1mentioning

confidence: 99%

Accelerating deformation seismicity patterns before the March 3, 2021 Thessaly strong earthquake. First results

Chatzopoulos

2021

geosociety

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A widely felt strong shallow earthquake with Mw 6.3 magnitude occurred in Thessaly (Central Greece) on March 3, 2021. This recent strong event attracted our interest to apply and evaluate the capabilities of the Accelerating Deformation method. Based on the recently proposed generalized Benioff strain idea which could be justified by the terms of Non-Extensive Statistical Physics (NESP), the common critical exponent was calculated in order to define the critical stage before a strong event. The present analysis comprised a complex spatiotemporal iterative procedure to examine the possible seismicity patterns at a broad region and identify the best one associated with the preparation process before the strong event. The starting time of the accelerating period, the size and location of the critical area are unknown parameters to be determined. Furthermore, although, the time of failure is already known, in the present research it was not set as a fixed value in the algorithm to define the other unknown parameters but instead different catalogue ending dates have been tried out to be with an objective way. The broad region to be investigated was divided with a square mesh and the search of events around a point has been carried on with different size circular and elliptical shapes. Among the obtained results, the solution which exhibits the most dominant scaling law behavior as well as the one which exhibits the smallest spatial area and yet the more dominant scaling law behavior are presented.

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Section: Fig1mentioning

confidence: 99%

Accelerating deformation seismicity patterns before the March 3, 2021 Thessaly strong earthquake. First results

Chatzopoulos

2021

geosociety

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“…Several papers are related to this item (Sadovsky et al, 1984;Okubo and Aki, 1987;Geilikman et. al, 1990;Hirata and Imoto, 1991;Hirakashi et al, 1992;Turcotte, 1993;Wang and Lee, 1996;Lapenna et al, 2000). However, only few papers are reported, where the dynamics of fractal properties of seismicity were studied before strong earthquakes.…”

Section: Introductionmentioning

confidence: 99%

The pecularities of shear crack pre-rupture evolution and distribution of seismicity before strong earthquakes

Kiyashchenko

Troyan

2001

Nat. Hazards Earth Syst. Sci.

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Abstract. Several methods are presently suggested for investigating pre-earthquake evolution of the regions of high tectonic activity based on analysis of the seismicity spatial distribution. Some precursor signatures are detected before strong earthquakes: decrease in fractal dimension of the continuum of earthquake epicenters, cluster formation, concentration of seismic events near one of the nodal planes of the future earthquake, and others. In the present paper, it is shown that such peculiarities are typical of the evolution of the shear crack network under external stresses in elastic bodies with inhomogeneous distribution of strength. The results of computer modeling of crack network evolution are presented. It is shown that variations of the fractal dimension of the earthquake epicenters' continuum and other precursor signatures contain information about the evolution of the destruction process towards the main rupture.

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“…The study in our paper also creates directed weighted networks of earthquakes with the purpose of assessing relationships between them. Given the ubiquity of power laws governing earthquake distributions (Nanjo and Nagahama, 2000;Lapenna et al, 2000;Shcherbakov et al, 2004Shcherbakov et al, , 2006Carbone et al, 2005;Felzer and Brodsky, 2006;Bunde and Lennartz, 2012;Lippiello et al, 2012a, b), power law forms are used to estimate quantitatively the relationships between events in a space-time-size perspective. However, there are major differences between Baiesi and Paczuski's model and the work presented in this paper.…”

Section: Introductionmentioning

confidence: 99%

Scale free properties in a network-based integrated approach to earthquake pattern analysis

Suteanu

2014

Nonlin. Processes Geophys.

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Abstract. This paper proposes a network-based method for the assessment of earthquake relationships in space-timemagnitude patterns. It is shown that networks with high values for the minimum edge weight W min enjoy strong scaling properties, as opposed to networks with low values for W min , which exhibit no such properties. The scaling behavior along the spectrum of W min values, in conjunction with the robustness regarding parameter variations, endorse the idea of a relationship between fundamental properties of seismicity and the scaling properties of the earthquake networks. Results of this method are further applied for the study of temporal changes in volcanic seismicity patterns.

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Scale-invariance Properties in Seismicity of Southern Apennine Chain (Italy)

Cited by 6 publications

References 19 publications

Accelerating deformation seismicity patterns before the March 3, 2021 Thessaly strong earthquake. First results

Accelerating deformation seismicity patterns before the March 3, 2021 Thessaly strong earthquake. First results

The pecularities of shear crack pre-rupture evolution and distribution of seismicity before strong earthquakes

Scale free properties in a network-based integrated approach to earthquake pattern analysis

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