Towards Evidence of Long-Range Correlations in Shallow Seismic Activities

In this work, we introduce a new methodology to construct a network of epicenters that avoids problems found in well-established methodologies when they are applied to global catalogs of earthquakes located in shallow zones. The new methodology involves essentially the introduction of a time window...

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Published inarXiv.org
Main Authors Ferreira, Douglas S R, Ribeiro, Jennifer, Papa, Andrés R R, Menezes, Ronaldo
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 12.04.2020
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Abstract In this work, we introduce a new methodology to construct a network of epicenters that avoids problems found in well-established methodologies when they are applied to global catalogs of earthquakes located in shallow zones. The new methodology involves essentially the introduction of a time window which works as a temporal filter. Our approach is more generic and for small regions the results coincide with previous findings. The network constructed with that model has small-world properties and the distribution of node connectivity follows a non-traditional function, namely a q-exponential, where scale-free properties are present. The vertices with larger connectivity in the network correspond to the areas with very intense seismic activities in the period considered. These new results strengthen the hypothesis of long spatial and temporal correlations between earthquakes.
AbstractList FERREIRA, Douglas et al. Towards evidence of long-range correlations in shallow seismic activities. EPL (Europhysics Letters), v. 121, n. 5, p. 58003, 2018 In this work, we introduce a new methodology to construct a network of epicenters that avoids problems found in well-established methodologies when they are applied to global catalogs of earthquakes located in shallow zones. The new methodology involves essentially the introduction of a time window which works as a temporal filter. Our approach is more generic and for small regions the results coincide with previous findings. The network constructed with that model has small-world properties and the distribution of node connectivity follows a non-traditional function, namely a q-exponential, where scale-free properties are present. The vertices with larger connectivity in the network correspond to the areas with very intense seismic activities in the period considered. These new results strengthen the hypothesis of long spatial and temporal correlations between earthquakes.
In this work, we introduce a new methodology to construct a network of epicenters that avoids problems found in well-established methodologies when they are applied to global catalogs of earthquakes located in shallow zones. The new methodology involves essentially the introduction of a time window which works as a temporal filter. Our approach is more generic and for small regions the results coincide with previous findings. The network constructed with that model has small-world properties and the distribution of node connectivity follows a non-traditional function, namely a q-exponential, where scale-free properties are present. The vertices with larger connectivity in the network correspond to the areas with very intense seismic activities in the period considered. These new results strengthen the hypothesis of long spatial and temporal correlations between earthquakes.
Author Ribeiro, Jennifer
Papa, Andrés R R
Ferreira, Douglas S R
Menezes, Ronaldo
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BackLink https://doi.org/10.1209/0295-5075/121/58003$$DView published paper (Access to full text may be restricted)
https://doi.org/10.48550/arXiv.1405.0307$$DView paper in arXiv
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Snippet In this work, we introduce a new methodology to construct a network of epicenters that avoids problems found in well-established methodologies when they are...
FERREIRA, Douglas et al. Towards evidence of long-range correlations in shallow seismic activities. EPL (Europhysics Letters), v. 121, n. 5, p. 58003, 2018 In...
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Physics - Statistical Mechanics
Seismic activity
Windows (intervals)
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