Scaling relation of earthquake seismic data

Gang Liu, Ru Li, Jing He, Weile Li, Jiayan Lu, Wen Long, Peichao Gao, Guolin Cai and Min Tang

Physica A: Statistical Mechanics and its Applications, 2018, vol. 492, issue C, 2092-2102

Abstract: We study the spatio-temporal characteristics of earthquakes, and find that power laws and allometric growth laws are both statistically significant in the seismic dataset. For further analyzing the complexity of earthquake sequence, an approach of weighted earthquake networks modeling is presented with using the seismic and rock mass datasets. The rock masses covering the entire region are used to divide the region into a lot of small areas. It is shown that the distributions of connectivities and link weights both follow power law decay forms. The discovery of allometric growth laws is important for studying the dynamics of massive earthquakes. The suggested earthquake network is helpful to study the interactions between rock masses and expand a research prototype for modeling seismicity on complex networks.

Keywords: Seismic dataset; Scaling relation; Spatio-temporal complexity; Weighted earthquake network (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:492:y:2018:i:c:p:2092-2102

DOI: 10.1016/j.physa.2017.11.126

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